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Faculteit Bio-ingenieurswetenschappen Academiejaar 2012 – 2013 A sediment record of lead contamination in the Zenne River, Belgium Daan Renders Promotor: Prof. dr. ir. Filip Tack Copromotor: dr. Olivier Evrard Masterproef voorgedragen tot het behalen van de graad van Master na Master in de Milieusanering en het Milieubeheer
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Faculteit Bio-ingenieurswetenschappen

Academiejaar 2012 – 2013

A sediment record of lead contamination in the Zenne River, Belgium

Daan Renders Promotor: Prof. dr. ir. Filip Tack Copromotor: dr. Olivier Evrard

Masterproef voorgedragen tot het behalen van de graad van Master na Master in de Milieusanering en het Milieubeheer !

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Acknowledgements

This work is an important step in my studies. I would never have been able to write this

dissertation without the help and support of several people.

Firstly, I want to thank my promoters Prof. dr. ir Filip Tack and dr. Olivier Evrard to give me

the opportunity to continue my research about sediment contamination in the Zenne River and

for their help, suggestions, support and their continuous interest in my work.

Secondly, I want to thank dr. Sophie Ayrault for the additional isotopic analyses and the

suggestions she gave. I also want to thank my cousin Micky for reading some drafts of this

work and for giving me some suggestions about the use of statistics.

Finally, I want to thank my friends, parents and my sister Riet for their continuous support,

motivation and help.

Aalst, June 2013.

Daan Renders

!

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Table of contents

Acknowledgements ................................................................................................................... iii!

Table of contents ....................................................................................................................... iv!

Abstract ..................................................................................................................................... vi!

Samenvatting ............................................................................................................................ vii!

List of figures .......................................................................................................................... viii!

List of tables .............................................................................................................................. ix!

List of abbreviations ................................................................................................................... x!

1! Introduction .......................................................................................................................... 1!

2! Literature review .................................................................................................................. 3!

2.1! The Zenne river and its basin ........................................................................................ 3!

2.2! Evolution of Pb contamination in the Zenne ................................................................. 5!

2.2.1! Immediate past of Pb contamination in the Zenne River ....................................... 5!

2.2.2! Long-term evolution of Pb contamination in the Zenne River .............................. 8!

2.3! Pb usage in Belgium .................................................................................................... 12!

3! Problem statement .............................................................................................................. 14!

4! Materials and Methods ....................................................................................................... 16!

4.1! Preliminary work ......................................................................................................... 16!

4.2! Determination of the total Pb-concentration ............................................................... 19!

4.3! Determination of the isotopic composition of Pb ........................................................ 20!

5! Results ................................................................................................................................ 21!

6! Discussion .......................................................................................................................... 23!

6.1! Pb contamination in the DRO1 and EPP1 sediment cores .......................................... 23!

6.2! A local background concentration for Pb? .................................................................. 27!

6.3! Lead contamination sources ........................................................................................ 29!

6.3.1! Anthropogenic Pb sources in the Zenne basin ..................................................... 29!

6.3.2! Determination of the fraction of contributing Pb sources .................................... 36!

7! Conclusions ........................................................................................................................ 39!

7.1! General conclusions .................................................................................................... 39!

7.2! Scope for future research ............................................................................................. 40!

8! References .......................................................................................................................... 41!

Attachment 1 ............................................................................................................................ 49!

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Attachment 2 ............................................................................................................................ 50!

Attachment 3 ............................................................................................................................ 51!

Profiles analysed by Verstraelen (1998) .............................................................................. 51!

Profiles analysed by Callebaut (2001) .................................................................................. 53!

!

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Abstract Two sediment cores collected along the Zenne river in Belgium were studied in order to

assess the sources and history of lead (Pb) contamination. The Zenne basin (1168km2) is the

densest inhabited sub-catchment (1200 inhabitants/km2) within the Scheldt basin and has a

long history of industrialisation. The Zenne flows through the capital region of Brussels, the

largest urban area of Belgium. Both the industry and large population created a large pressure

on the river.

A sediment core collected in Eppegem, downstream of Brussels, was analysed for Pb

concentrations with ICP-QMS. The core was dated from 1974 to 2011. Lead concentrations

up to 775 mg/kg in this core were significantly above the mean Pb concentration of the upper

crust (20 mg/kg) but decreased significantly in more recently deposited sediment layers. This

decrease is probably related to the de-industrialisation of Brussels since the 1970s and the

stricter environmental regulations. A second, non-dateable, sediment core collected in

Drogenbos, just upstream of Brussels, was also analysed. The average Pb concentration in this

core was at 90 mg/kg (!2 = 14,9) significantly lower than the concentrations measured in

Eppegem, but still above the Pb concentration of the upper crust. The difference in Pb

concentration between Drogenbos and Eppegem outlines the large contribution of Brussels to

Pb contamination of the Zenne.

The isotopic composition of Pb in the two sediment cores was also analysed. The average

isotopic signature of Pb in the core of Drogenbos was significantly different from the isotopic

signatures measured in the sediment core of Eppegem. It appeared that the contribution of

leaded gasoline to Pb contamination in Eppegem was higher than in Drogenbos. In the

Eppegem sediment core a significant shift towards the isotopic signature of the Earth’s crust

was observed in the more recently deposited sediment layers. This shift reflects the decrease

in contribution of leaded gasoline to Pb contamination in the Zenne and explains partly the

decrease in total Pb concentration in the same core.

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Samenvatting Twee sedimentkernen die verzameld werden langs de rivier Zenne in België werden

onderzocht om de bronnen en de geschiedenis van loodvervuiling in het Zennebekken na te

gaan. Het Zennebekken (1168 km2) is het dichtst bevolkte bekken (1200 inwoners/km2)

binnen het stroomgebied van de Schelde en kent een lange periode van industrialisatie. De

Zenne stroomt door de hoofdstad van België, Brussel, het grootste stedelijke gebied van het

land. Zowel de industrie en de grote bevolking in het Zennebekken veroorzaakten een grote

antropogene druk op de rivier.

Een gedateerde sedimentkern die verzameld werd in Eppegem, stroomafwaarts van Brussel,

werd met ICP-QMS geanalyseerd naar loodconcentraties. De kern behelst de periode tussen

ca.1974 en 2011. Concentraties lood (Pb) tot 775 mg/kg zijn gemeten in deze kern en zijn

significant hoger dan de gemiddelde Pb concentratie van de aardkorst (20 mg/kg). De

gemeten concentraties dalen significant in de meer recente sedimentlagen. Deze daling is

waarschijnlijk veroorzaakt door de de-industrialisatie van Brussel sinds de jaren 1970 en de

strenger wordende milieuwetgeving. Een niet-dateerbare sedimentkern uit Drogenbos, net

bovenstrooms van Brussel, werd ook geanalyseerd. De gemiddelde Pb concentratie in deze

kern was 90 mg/kg (!2 = 14,9) en is significant lager dan de gemeten concentraties in

Eppegem, maar is ook hoger dan de gemiddelde Pb concentratie van de aardkorst. Het

verschil in Pb concentratie tussen Drogenbos en Eppegem toont aan dat Brussel een grote

invloed heeft op de Pb vervuiling van de Zenne.

De isotopische samenstelling van Pb in de twee sedimentkernen werd ook geanalyseerd. De

gemiddelde isotopische signatuur in de kern uit Drogenbos was significant verschillend van

de isotopische samenstelling die gemeten werden in de sedimentkern uit Eppegem. Lood

afkomstig van gelode benzine bleek een groter aandeel te hebben in de sedimentkern van

Eppegem dan in die van Drogenbos. In de Eppegem kern werd ook een significante

verschuiving in isotopische samenstelling doorheen de tijd gezien. Deze verschuiving

weerspiegelt de vermindering in het gebruik van gelode benzine in het Zennebekken en

verklaart deels de significante daling van de totale Pb concentratie doorheen de tijd.

!

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List of figures Figure 2.1: Geographical and hydrological presentation of the Zenne basin ............................. 3!

Figure 2.2: Total Pb concentration in the riverwater as a function of time in Eppegem (data

Instituut voor hygiene en epidemilogie (up to 1989) and VMM(1989-now). Note that the

outliers in the data are not shown. ...................................................................................... 6!

Figure 2.3: Total Pb concentration in the river water as a function of time in Anderlecht (data

VMM). ................................................................................................................................ 6!

Figure 2.4: Location of the different sediment cores and profiles in overbank sediments along

the Zenne ............................................................................................................................ 9!

Figure 2.5: Vertical distribution of Pb in the profile of Weerde (Swennen and Van der Sluys,

1998). The depths are given in cm. .................................................................................. 10!

Figure 2.6: Production and consumption of refined lead in Belgium (data International Zinc

and Lead Study Group, personal communications) ......................................................... 13!

Figure 4.1: Localisation of the sampling sites Eppegem and Drogenbos in the Zenne basin. . 17!

Figure 5.1: The total Pb concentration, the calculated EFs and the isotopic ratios 206Pb/207Pb

and 208Pb/206Pb measured in the EPP1 sediment core as a function of depth and time. The

EF was calculated with respect to the mean concentration in the upper continental crust,

determined by Taylor and Mclennan (1995). ................................................................... 22!

Figure 6.1: Atmospheric Pb emissions in Belgium (data Pacyna and Pacyna, 2000) .............. 27!

Figure 6.2: Enrichment Factors of the EPP1 samples with respect to a constructed local

geochemical background (EF local) and with respect to the upper continental crust (EF

crust). ................................................................................................................................ 29!

Figure 6.3: Three isotopes plot of sediment cores EPP1 and DRO1 and different ores that

were potentially imported in the Zenne basin. The mixing line between the isotopic

composition of the crust and the Broken Hill ore is also indicated. ................................. 33!

Figure 6.4: Three isotopes plot of the sediment samples EPP1 and DRO1 and different

anthropogenic activities in the Zenne basin. The mixing line between the isotopic

composition of the crust and leaded gasoline is also indicated. ....................................... 34!

Figure 6.5: Three isotopes plot of the EPP1 samples. The depth and determined age of each

sample is given. ................................................................................................................ 36!

!

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List of tables Table 2.1: Pb concentrations measured in riverbed sediments of the Zenne (data VMM,

available on vmm.be/geoview). The sapling locations are ranked from downstream to

upstream. ............................................................................................................................ 7!

Table 2.2: Pb concentrations in active stream sediments (data from Swennen et al. (2000) and

Callebaut (2001)). The Locations are ranked from downstream to upstream sites. ........... 8!

Table 2.3: Minimum, maximum and mean Pb concentrations and EFs in the different profiles

along the Zenne (adapted from data Verstraelen, 1998 and Callebaut, 2001). The

concentrations are reported in mg/kg and the EFs are calculated with respect to the upper

crustal background determined by Taylor and McLennan (1995). The locations are

ranked from upstream to downstream locations. .............................................................. 12!

Table 5.1: The total Pb concentration, the calculated EFs and the isotopic ratios 206Pb/207Pb

and 208Pb/206Pb measured in the DRO1 sediment samples. The EF was calculated with

respect to the mean concentration in the upper continental crust, determined by Taylor

and Mclennan (1995). ....................................................................................................... 21!

Table 6.1: Comparison between Pb concentration in sediment samples of the Zenne (EPP1)

and the Seine (M1, data Ayrault et al., 2012) ................................................................... 26!

Table 6.2: Isotopic signatures of different Pb ores potentially imported in the Zenne basin. If

multiple samples were analysed in the studies, we give the range of the obtained results.

.......................................................................................................................................... 30!

Table 6.3: Mean isotopic ratios of Pb in different environmental samples in the Zenne basin or

other relevant areas. If multiple samples were analysed in the studies, we give the range

of the obtained results. ...................................................................................................... 31!

Table 6.4: The fraction of leaded gasoline that contributed to the different samples, according

to different models ............................................................................................................ 38!

!

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List of abbreviations EF: Enrichment Factor

ICP-QMS: Inductively Coupled Plasma Quadrupole Mass Spectrometry

VMM: Vlaamse Milieu Maatschappij; Flemisch Environmental Agency

Pb: Lead

Al: Aluminium

Cs: Caesium

WWTP: Waste Water Treatment Plant

HIC: Hydrologisch Informatie Centrum; Hydrological Information Centre of Flanders

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1 Introduction The metal lead (Pb) has since long been used extensively by humans. Elevated lead

concentrations in an ice core record collected in Greenland revealed that anthropogenic lead

production started already 6000 years ago (Hong et al., 1994). The use of lead and lead

emissions into the atmosphere have increased since then to reach a first maximum during

Antiquity. Together with the decline of the Roman Empire lead emissions into the

environment decreased significantly. However, since the Middle Ages and the Renaissance

lead production has been increasing till now (Hong et al., 1994; Alfonso et al., 2001; De

Vleeschouwer et al., 2007). Lead emissions have shown the strongest increase since the

Industrial Revolution. This strong increase was mainly caused by coal combustion, the use of

leaded gasoline, metallurgic activities and waste incineration (Caplun et al., 1984; Monna et

al., 1997; Komárek et al., 2008). Lead additives for gasoline (e.g. tetraethyl lead) were

introduced in the 1920s as an anti-knocking agent for combustion engines and quickly

became one of the major sources of lead contamination in the environment (Nriagu, 1990;

Komárek et al., 2008).

Together with the increasing use of lead throughout history, the toxicity of the element to

humans was revealed. Prolonged exposure to lead, even in low concentrations, causes adverse

effects to the human health, e.g. changes in the neurological development of children and

cardiovascular diseases (Järup, 2003; Von Storch et al., 2003; Farmer et al., 2011). The

increased awareness about the environment since the 1970s and the knowledge about the

toxic effects of lead, first led to the prohibition of lead-based paints, lead water pipes and

food-cans in the developed countries in the 1970s. In the next decades, leaded gasoline was

gradually phased out and finally completely banned with the Aarhus Treaty. In this treaty,

signed in 1998, most European countries agreed to use only unleaded gasoline by the year

2005 (Von Storch et al., 2003). Also in most other countries in the world regulations about the

usage of lead additives in gasoline are made (Nriagu, 1990). All these measures and

regulations on the use of lead, caused a sharp decrease in anthropogenic lead emissions

(Nriagu, 1990; von Storch et al., 2003; De Vleeschouwer et al., 2007).

Despite the recent decrease in the emissions of lead into the environment, lead contamination

is still problematic. In rivers for instance, the major part of the total concentration of lead in

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water is usually associated with suspended sediment (Lesven et al., 2009; Magnier, 2012).

Deposition of contaminated sediments creates a temporary sink for lead and other metals in

the river system. However, hydrological and geomorphological changes in the river system

can convert a sink into a source for lead contamination and the stored metals can be

reintroduced into the environment (Walling et al., 2003). Also due to changes in pH or other

physico-chemical parameters metals can be mobilised in deposited sediment, creating a

secondary source for metal contamination in rivers (Argese et al., 1997, Petersen et al., 1997,

Cappuyns and Swennen, 2004). Both mechanisms can cause a recontamination of a water

body long after the initial contamination. Therefore, it is important to know how much

contaminated sediment is stored in the alluvium of a river catchment and how severe lead

pollution was in the past.

In this study, we consider the case of the Zenne River in Belgium, a tributary of the Scheldt

River. The Zenne River flows through the densest inhabited part of Belgium (i.e. the capital

region of Brussels; Garnier et al., 2012) and is one of the most polluted rivers in Belgium and

Europe (Billen et al., 1999; Swennen and Van der Sluys, 1998). First, we give an overview

about the contemporary knowledge about Pb contamination in the Zenne basin. After this

overview, we formulate the research questions and hypotheses.

!

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2 Literature review

2.1 The Zenne river and its basin

The Zenne (also called Senne) is a river in Belgium within the Scheldt basin (Figure 2.1). It

rises in the vicinity of Naast and Soignies at a height of 120m TAW and flows into the river

Dijle near Heffen, to the north of Mechelen. The length of the river is 103 km. The upper

reaches of the river (upstream of Halle) are deeply incised into the Palaeozoic calcareous

rocks and slates. Downstream of Halle the river incised in the Tertiary sands (Brusselian

formation) and created a wide floodplain during the Quaternary (De Béthune, 1961). The

Zenne catchment drains an area of 1168 km2 and receives most water from rain and

wastewater discharges (Cappuyns and Swennen, 2007). The Zenne drains through the Dijle

and Rupel into the Scheldt estuary providing around 12% of the fresh water input of the

estuary (Baeyens et al., 1998). The river flows through the three Belgian regions and through

the provinces of Hainaut, Walloon Brabant, Flemish Brabant and Antwerp (Renders, 2012).

Figure 2.1: Geographical and hydrological presentation of the Zenne basin

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The Zenne basin has a long economical and industrial history. In the Middle Ages the Zenne

was used for transport between Brussels and other cities in the Scheldt basin. However, the

shallow and meandering river was not suitable for fast transport. To create a faster route

between Brussels and the Scheldt, a canal between Brussels and Willebroek (also called the

Zeekanaal) was dug between 1477 and 1561. A second canal, between Charleroi and

Brussels, was dug in the first half of the 19th century (Deligne, 2003). Several interaction

points exist between the Zenne and both canals, making the hydrological system of the basin

complex. A detailed description of this hydrological system is beyond the scope of this work,

but can be found in IMDC et al., (2005).

The construction of the canal between Brussels and Charleroi was a triggering factor for the

industrial development in the Zenne basin in the 19th century as most coal from the mines in

Hainaut was transported via this canal. Also raw materials needed in the production processes

of the different factories were mainly transported via the canals. The developing industry was

active in textile, chemical, metal, paper and beer brewing industries. All these industries used

the water of the canals and the Zenne in their production process and disposed their waste

water in these water bodies (Deligne, 2001). Until the 1970s, the industry in the region around

Brussels was one of the biggest employers in Belgium. From Clabeq to Vilvoorde a lot of

heavy industry was present along the Zenne. However, since the 1960s the region began to

de-industrialise. Today, almost no industry is present anymore in the region, only a limited

number of factories are still active (Vandermotten et al., 2009).

The industrial development in the Zenne basin also caused a major population increase and a

subsequent tendency to urbanisation in the 19th and 20th century. Today, the Zenne basin is

the densest inhabited catchment (540 inhabitants/km2 and 25% of urban area) within the

Scheldt basin (Garnier et al., 2012).

Both the industrial development and the consequent population increase, created a large

anthropogenic pressure on the environment in the Zenne basin. The organic and chemical

waste loads in the river increased enormously, creating several negative effects like odour,

decrease in biological activity and spread of diseases (Billen et al., 1999; Deligne, 2001;

Garnier et al., 2012).

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Starting in 1860, measures were taken by the authorities to decrease the negative effects

created by the contamination. However, these measures were largely ineffective or counter-

productive because the technological knowledge to deal with contaminated rivers was not yet

available. The best-known measure from this period is the covering of the Zenne in the city

centre of Brussels. This measure made the Zenne an important part of the sewing system of

Brussels, making the contamination even worse (Deligne, 2001, 2003).

Due to the covering of the river in Brussels, the water quality of the Zenne was not a priority

for the authorities for several decades. Despite the improved scientific and technological

knowledge and environmental regulations, it took until 2000 before the first wastewater

treatment plant (WWTP) was implemented in the region of Brussels. It even took until 2007,

when a second WWTP was constructed, before all domestic wastewater of the region of

Brussels was treated before it was discharged into the Zenne (Garnier et al., 2012). !

2.2 Evolution of Pb contamination in the Zenne

In this part we will review the existing studies and measurement campaigns that consider Pb

in the Zenne basin. We make a distinction between the immediate past (1970s-today) and the

long-term evolution of Pb contamination.

2.2.1 Immediate past of Pb contamination in the Zenne River

The Environmental Agency of Flanders (VMM) regularly reports on the physical and

chemical water quality of non-navigable rivers in Flanders. In this framework the total Pb

concentration is also regularly reported. All the measurements of the VMM are publically

available on www.vmm.be/geoview. Along the Zenne different monitoring stations exist, but

for most of them, no long or continuous data series are available on Pb. However, in

Eppegem, downstream of Brussels, a long series of Pb-concentration measurements exists

with only hiatus between 1989 and 1996, 1999 and 2003. At the same location, the Institute of

Hygiene and Epidemiology, the predecessor of the VMM, measured Pb concentrations in

1978, 1979 and 1982. In Figure 2.2 the measured Pb concentrations are shown. However, to

improve readability, three outliers (larger than mean concentration + 3 standard deviations)

and concentrations below the detection limit are removed from the data. We observe a

significant decrease in Pb concentration in time (spearman rank (") of -0,239, p<0,01). The

outliers were 311 µg/l in June 2006, 780 µg/l in February 1979 and 246 µg/l in December

1978.

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Figure 2.2: Total Pb concentration in the riverwater as a function of time in Eppegem (data Instituut voor hygiene en epidemilogie (up to 1989) and VMM(1989-now). Note that the outliers in the data are not shown.

Also in Anderlecht, just upstream of Brussels a continuous series of measurements exists

(Figure 2.3). This series is not as long as the one of Eppegem, but some interesting

characteristics can be noted. The spearman rank (" = -0,252, p<0,01) is of the same order of

magnitude as the one observed in Eppegem, but the mean Pb concentration in Eppegem is

significantly higher (Mann-Whitney test, p<0,01) than the Pb concentration in Anderlecht.

This indicates that the region of Brussels contributes for a large part to the Pb contamination

in the Zenne.

Figure 2.3: Total Pb concentration in the river water as a function of time in Anderlecht (data VMM).

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The large temporal variation in Pb concentrations (and overall, in several metals) in the water

is explained by Magnier (2012). She observed a high correlation between metal

concentrations and the discharge of the Zenne. During high discharges more sediment is

transported, and because most Pb (>95%, measured at different time intervals) in the Zenne

appears to be associated with the particulate fraction, the concentration in the water will

increase (Magnier, 2012).

The VMM also sampled the sediments of the riverbed of the Zenne at eleven locations

between 1992 and 2011. In Table 2.1 these results are given (the data are freely available on

vmm.be/geoview). Concentrations range between 31 mg/kg (in Lembeek, 2008) and

370mg/kg (in Vilvoorde, 1992). The VMM uses a reference concentration of 14 mg Pb/kg to

assess the severity of contamination in rivers in Flanders. All measured concentrations are

well above this reference value (between 2 and 26 times higher). Unfortunately, there are too

little samples taken at the same locations or in the same year to outline spatial or temporal

trends.

Table 2.1: Pb concentrations measured in riverbed sediments of the Zenne (data VMM, available on vmm.be/geoview). The sapling locations are ranked from downstream to upstream.

Location Year Pb (mg/kg)

Eppegem 2010 143

Vilvoorde, Havendoklaan 2006 364

2002 300

Vilvoorde, Houtkaai 2007 61

2003 102

Vilvoorde, Sluisstraat 2005 257

Vilvoorde, Budasteenweg 1992 370

Anderlecht, Verwelkomingsstraat 2006 127

2002 121

Ruisbroek, Broekweg 1992 72

Beersel, Zennebeembeden 2006 134

Lot, Zennestraat 2005 91

Lembeek, Heldenstraat 2008 31

2004 186

2000 100

Lembeek, Perregatstraat 2011 272

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Swennen et al. (2000) and Callebaut (2001) collected recently deposited sediment samples on

the surface of the riverbanks along the Zenne. The Pb concentrations in these samples are

given in Table 2.2. It can be seen that the Pb content in the sediments downstream of Brussels

is higher than the Pb concentrations in Tubize. Except for the Eppegem sample, these

locations are too far away from the sampling locations of the VMM. Therefore we cannot

compare them. The sediment samples of Eppegem analysed by the VMM (see Table 2.1) and

Callebaut (2001) were collected with a time interval of 10 years. Despite this time difference,

the Pb content in both samples is of the same order of magnitude.

Table 2.2: Pb concentrations in active stream sediments (data from Swennen et al. (2000) and Callebaut (2001)). The Locations are ranked from downstream to upstream sites.

Location year Pb content (mg/kg) Source

Hofstade 2000 126 Callebaut (2001)

Weerde 1992 511 Swennen et al. (2000)

Eppegem 2000 286 Callebaut (2001)

Tubize 1992 22 Swennen et al. (2000)

2.2.2 Long-term evolution of Pb contamination in the Zenne River

Overbank sediments are deposited on the riverbanks and in the floodplain when the discharge

of a river exceeds the bank-full discharge. These sediments will accumulate in a sequence of

thin layers, with each layer corresponding to a flood event. Each layer is characterised by the

chemical and mineralogical composition of the suspended sediment present in the river at the

time of deposition. Therefore, overbank sediments can be used to reconstruct a chronology of

metallic contamination (Ottesen et al., 1989).

Along the Zenne, several sediment cores and profiles were collected in overbank sediments

and floodplains during the last decades (see Figure 2.4). All these profiles were subjected to

geochemical analyses to determine the vertical distribution of the total metal content.

However, no dating or isotopic analyses were done.

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Figure 2.4: Location of the different sediment cores and profiles in overbank sediments along the Zenne

The first profile along the Zenne river that was examined in detail, was reported by Swennen

and Van der Sluys (1998). This profile is situated in Weerde, downstream of the industrial

areas of Brussels and Vilvoorde (see Figure 2.4). The vertical distribution of Pb is given in

Figure 2.5. In this figure, it can be seen that Pb concentrations reach very high levels.

Concentrations above 500 ppm are recorded at a depth of > 2m. The Pb concentrations reach

a maximum (> 1100 ppm) in the middle of the profile. From there, Pb concentrations decrease

towards the top. Swennen and Van der Sluys (1998) statistically analysed 66 profiles along

several rivers in Belgium and concluded that all analysed samples in the profile of Weerde

contained outlying Pb concentrations.

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Figure 2.5: Vertical distribution of Pb in the profile of Weerde (Swennen and Van der Sluys, 1998). The depths are given in cm.

Based on the results of Swennen and Van der Sluys (1998), two master thesis studies

(Verstraelen, 1998 and Callebaut, 2001) were conducted to examine the metal contamination

more into depth. In Figure 2.4 it can be seen that Verstraelen (1998) sampled along the whole

course of the Zenne. Callebaut (2001) sampled only in the most downstream part of the

Zenne.

The comparison of the Pb content in different sediment samples is difficult, because this

concentration varies depending on grain size and organic carbon content, which are

determining factors (Cundy and Croudace, 1995). Therefore, we calculate enrichment factors

(EFs). EFs allow us to make a comparison between the different sediment samples and to

make an assessment about the severity of the Pb contamination in the sediments (Loska et al.,

1997). EFs are a comparison between the measured Pb concentrations and a background

concentration. They are calculated using equation 1.

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Note that in equation 1 Pb concentrations are normalised by a reference element Ref. In

literature Scandium (Sc) is mostly used as a reference element, but also Aluminium (Al),

Titanium (Ti) and Thorium (Th) are used (Shotyk, 1996; Loska et al., 1997; Audry et al.,

2004; Le Cloarec et al., 2011). All these reference elements are related to the clay content or

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grain size, because trace metals preferentially sorb onto fine sediment fractions (Cundy and

Croudace, 1995). It is assumed that this reference element varies only naturally and is not

influenced by human activities. EFs are ratios which are straightforward to interpret and are

frequently used in geochemical studies (see for example: Hong et al., 1994; Shotyk, 1996;

Audry et al., 2004; De Vleeschouwer et al., 2007; or Le Cloarec et al., 2011). In our study, Al

(80400 mg/kg in the upper continental crust Taylor and McLennan, 1995) will be used as a

reference element because it is the only reference element measured in all available data and

studies about the Zenne. The use of Al as a reference element has a major drawback because

Al is also used in anthropogenic activities. Therefore, the Al concentration in a sediment

sample might not reflect the pre-industrial Al level. As a background concentration we use the

mean concentration of Pb in the upper continental crust (i.e. 20mg/kg), determined by Taylor

and McLennan (1995).

In Attachment 3 the measured Pb concentrations and the according EFs are given. In Table

2.3 the maximum, minimum and mean EFs and Pb concentrations are summarised. In general,

the highest concentrations and EFs are reached at the top of the profiles. Concentrations and

EFs decrease with increasing depth, indicating an increasing Pb contamination through time.

It can be seen that in several profiles (Quenast, A, B, BI, C, D, E and F) low EFs and Pb

concentrations are measured at the base. This can indicate that pre-industrial sediment is

sampled at these locations. The highest concentrations and EFs are measured in Lembeek and

Buizingen, downstream of the industrial areas of Clabecq, Tubize and Halle. It is striking that

in the profiles of Callebaut (2001) lower concentrations and EFs are recorded than in the

profiles of Verstraelen (1998). This might be explained by slightly different sampling

strategies. Verstraelen (1998) sampled in the immediate vicinity of the river. In contrast,

Callebaut (2001) sampled further away from the river, in the floodplain. Thus, the locations of

Callebaut (2001) are less regularly flooded than the locations of Verstraelen (1998). Callebaut

(2001) remarked that the concentrations measured in her profiles are much lower than those

measured in the profile collected in Weerde. She explained this difference by the relative

position of the profiles to the river. The samples of Weerde were collected in the immediate

vicinity of the river.

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Table 2.3: Minimum, maximum and mean Pb concentrations and EFs in the different profiles along the Zenne (adapted from data Verstraelen, 1998 and Callebaut, 2001). The concentrations are reported in mg/kg and the EFs are calculated with respect to the upper crustal background determined by Taylor and McLennan (1995). The locations are ranked from upstream to downstream locations.

Location Min Max Mean Std dev

Pb EF Pb EF Pb EF Pb EF

Quenast 8 3,5 42 19,1 25 12,8 10,0 5,44

Lembeek 42 21,9 152 118,6 100 63,5 46,1 33,62

Buizingen 48 27,2 326 124,9 199 87,7 111,1 36,78

Lot 62 36,6 120 79,1 100 63,1 26,9 18,46

D 7 0,7 172 21,7 3,8 4,8 0,38 8,33

E 7 0,6 57 5,1 24,2 2,1 19,99 1,77

F 5 0,7 81 10,4 23,1 3,0 29,20 3,74

A 13 1,7 134 21,3 55,2 7,5 34,49 5,48

C 4 1,0 59 9,3 22,3 3,1 17,53 2,81

BI 6 0,5 42 12,0 14,3 2,3 11,94 3,41

B 4 0,9 77 12,2 18,5 2,4 19,89 2,91

Hofstade 38 16,6 258 87,9 93 36,4 74,6 23,87

2.3 Pb usage in Belgium

No statistics or data exist about the historical use of Pb in the Zenne basin. However, every

year, the International Zinc and Lead Study Group (IZLSG) publishes an estimate of the

amount of refined Pb produced and consumed in several countries. In Figure 2.6 the available

data for Belgium are given. It can be seen that the production of refined Pb increased slightly

since the 1960s. The consumption of refined Pb however, remained relatively stable till the

mid 1990s. Since then the consumption started to decline. The production of refined Pb in

Belgium has always been larger than the consumption, which indicates that a major part of the

produced refined Pb in Belgium is exported.

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Figure 2.6: Production and consumption of refined lead in Belgium (data International Zinc and Lead Study Group, personal communications)

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3 Problem statement From the literature review it became clear that there exists a high level of Pb contamination in

the Zenne basin since long. However, only indications of the evolution of Pb contamination

through time are available. Also little information is available about the sources of Pb

contamination.

As discussed before (see section 2.2.2), undisturbed alluvial sediments can be used as a proxy

for the long-term evolution of metal contamination (Ottesen et al., 1989). However, only the

total concentration of lead in sediments is not sufficient to make a detailed assessment about

the sources of lead contamination. For this, the isotopic signature of lead can be used. The

isotopic composition of lead in contaminated sediments can be interpreted as a mixture of

different lead sources with an unique isotopic signature (Monna et al., 1997; Komárek et al.,

2008; Vanhaecke and Kyser, 2012).

In this work, a reconstruction of Pb contamination in the Zenne basin through time is made.

Therefore, we make use of a dated sediment core that was collected along the Zenne River in

the framework of a previous research about sedimentation and metal contamination in the

Zenne (see Renders, 2012). The Pb concentration and the isotopic composition of Pb in the

sediments are used to evaluate the contribution of different sources of lead contamination

through time.

The following research questions were posed:

1. Can we see an evolution in the concentrations and isotopic composition of Pb through

time?

2. Is it possible to distinguish different sources of Pb contamination in the Zenne basin

based on the isotopic composition of Pb?

3. Is it possible to explain trends or peak events of the Pb contamination through time

based on the isotopic compositions of Pb?

Based on these research questions we formulated the following research hypotheses:

1. A decreasing trend is visible in the total lead concentration. The isotopic composition

of lead in the sample converges towards the isotopic composition of lead in natural

samples; i.e. the anthropogenic influence becomes smaller through time.

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2. Based on the isotopic composition of lead, we can distinguish two or three different

sources of lead contamination in the Zenne basin.

3. The isotopic composition of lead enables us to explain the trend or peak events in the

lead contamination.

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4 Materials and Methods

4.1 Preliminary work

On 16th August 2011 two sediment cores, which will be referred to as EPP1 and DRO1, were

collected in overbank sediments of the Zenne river, in the framework of a previous

geochemical research (Renders, 2012). The locations of both sampling sites are indicated on

Figure 4.1. Both cores were collected with a percussion corer. A PVC-tube with an outer

diameter of 5cm and a length of 1m was inserted into a steel tube. This steel tube was pushed

down into the sediments with a jackhammer. A hydraulic pump was used to retrieve the steel

tube from the sediments. After the retrieval of the PVC-tube with the sediment core inside,

this tube was sealed at the top and at the bottom.

In the laboratory, the PVC-tubes were sawn in half lengthwise. The sediment cores were

described visually and afterwards divided into samples of ca. 1cm thickness using a plastic

knife. These samples were weighed immediately after their removal of the PVC-tube. They

were dried in an oven at ca. 50°C for at least 5 days. The samples were weighted again after

drying and subsequently stored in airtight plastic bags.

EPP1 was collected on the left bank in Eppegem, about 6km downstream of Brussels, just

upstream of the confluence of the Tangebeek with the Zenne and just downstream of a

connection between the canal between Brussels and Willebroek and the Zenne (the so-called

Hevels van Vilvoorde). This core of about 72 cm long consisted out of silt (median grain size

of about 50 µm over the entire length of the core), except at 44 cm and 64 cm depth, where

two light coloured layers of coarse sand (median grain size of 165 µm) were present. The

organic carbon content in EPP1 varied between 1 and 2% over the entire length of the core,

except at 44 and 64cm depth (the coarse sand layers) where it was comprised between 0,2 and

0,7%.

DRO1 was collected on a small terrace located on the right bank of the Zenne in Drogenbos,

just upstream (ca. 1,5 km) of the Capital Region of Brussels. This coring location is the last

site where the river has a natural-looking, meandering course before it pursues its flow in

underground galleries through the city of Brussels. DRO1 was ca. 78,5cm long and consisted

out of sandy material in the top 17cm. The rest of the core was characterised by finer material

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with a lot of organic debris. The lowest 15cm contained plastic and brick fragments. No grain

size analyses were done on this core.

Figure 4.1: Localisation of the sampling sites Eppegem and Drogenbos in the Zenne basin.

Several samples of both cores were subjected to gamma spectrometry analysis in the

Laboratoire des Sciences du Climat et de l’Environnement in Gif-sur-Yvette, France. This

allows dating a sediment core by measuring the activity of gamma-emitting radionuclides in a

sample. Two widely-used proxies: Caesium-137 (137Cs) and excess-Lead-210 (210Pb-xs) were

used to date the sediment cores (see for example Audry et al., 2004; Meybeck et al., 2007; or

Le Cloarec et al., 2011).

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137Cs is an artificial radioisotope with a half-life time of 30,17 years. It is produced by nuclear

fission. It has been released in the environment only at distinct moments, i.e. the nuclear

weapon tests in the 1960’s, the Chernobyl accident in 1986 (Walling and He, 1997) and the

Fukushima accident in 2011 (Evrard et al., 2012). Sediment exposed at the surface is enriched

in 137Cs during such fall-out events. Subsequent deposition of sediment will bury the enriched

surface, creating strata with high 137Cs content. The layers or strata within an undisturbed

sediment sequence with high 137Cs activities can be linked to one of the distinct fall-out

events. By interpolating the age between two levels of high 137Cs activity, an age-depth

distribution can be obtained (Walling and He, 1997).

210Pb is a natural radioisotope with a half-life time of 22,3 years. It is like 226Ra a decay

product of Uranium-238 (238U). 222Rn is produced in soils by the decay of 226Ra and because 222Rn is a gas in normal atmospheric conditions, it can escape to the atmosphere. The amount

of 222Rn that escapes depends on the soil characteristics such as permeability and moisture

content. 222Rn further decays into 210Pb. Thus, 210Pb is produced both in the atmosphere and in

soils. There is a constant atmospheric fallout of 210Pb (called the excess or unsupported 210Pb,

or 210Pb-xs). Therefore, the total 210Pb activity in a soil is the result of two origins: the

supported 210Pb activity (i.e. the 210Pb activity produced in the soil or sediment) and the 210Pb-

xs activity. When fresh sediment deposits cover a sediment surface, the excess activity will

start to decay by its half-life time. A constant sedimentation rate can be estimated from the

decrease in 210Pb-xs activity with depth. Only the total 210Pb activity can be measured in a

sample. The supported activity, however, can be estimated by measuring the activities of one

or more parent elements of 210Pb in the soil. This estimated supported activity can then be

subtracted from the total activity to calculate the excess activity in a sample (Du and Walling,

2012).

The results of the gamma spectrometry and dating attempts (not shown here, see Renders,

2012) revealed that DRO1 could not be dated. The sediment in this core experienced probably

post-depositional mixing, but the presence of 137Cs in the samples indicates that the sediment

was deposited after the first occurrence of this isotope in the atmosphere in the 1950’s. EPP1,

in contrast to DRO1, could be dated (see Attachment 1 for a summary of the results). From

both proxies (137Cs and 210Pb-xs) a sedimentation rate of ca. 2 cm/year was derived. An age-

depth relationship was established based on this sedimentation rate. The 72 cm long EPP1

core thus covers the timespan 1973-2011. The age-depth relationship of EPP1 was confirmed

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by historical documents about works carried out on this riverbank and thus has a high

credibility.

After gamma spectrometry and ICP-QMS measurements (see section 4.2), the samples of

EPP1 were analysed for grain size and organic carbon content. The grain size was measured

with laser diffraction (Beckman Coulter LS 13320 Particle Size Analyser) in the laboratory of

geomorphology at the KULeuven. Organic carbon content was measured by means of the

method of Walkley and Black (1934). A detailed description of these results can be found in

Renders (2012).

4.2 Determination of the total Pb-concentration

The total Pb-concentration in the EPP1 and DRO1 samples was determined with Inductively

Coupled Plasma Quadrupole Mass Spectrometry, ICP-QMS (X Series, ThermoElectron,

France). ICP-QMS requires a total solubilisation of the sediments. Therefore, a subsample of

80 to 100 mg of the dried samples was taken. This subsample underwent a pre-treatment

before ICP-MS analyses could be carried out. This pre-treatment consisted of three successive

steps.

First, 15ml HNO3 65%: HCl 30% (3:1) was added to the subsample. This attack takes three

days at room temperature and dissolves Ca and Mg from the sediment. The NO2 which is

formed by the reaction is evaporated at 90° for two hours. The remaining liquids in the

sample were removed by pipetting and the sediment was rinsed three times with 10 ml 0.5M

HNO3 to ensure the removal of Ca and Mg and to avoid that these elements will influence the

reactions in the next step. 10 ml of HF 48,9%: HNO3 65% (1:1) was added to the sample in

the second step. This reaction takes place at room temperature in closed vessels and attacks

the siliceous minerals. After 24h the sample was evaporated for 3-5 days at 100°C to remove

the hexafluorosilic acid, which was formed in the reaction. The third step oxidized the organic

matter in the sample. Therefore, after the second evaporation, 12ml of HNO3 65%: HClO4 69-

72% (1:1) was added to the residue and heated at 120°C over five days in closed vessels.

Again, the final solutions were evaporated to remove the perchloric acid, formed by the

reaction. The pipetted liquids from the first step were again added to the sample and the

sample was then evaporated to near dryness. After the evaporation, 1ml of 65% HNO3 was

added to the sample. This solution was then again evaporated to near dryness. This step was

repeated three times in order to minimise the residue of chloride ions in the sample. For ICP-

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MS analyses the final samples were dissolved in a 0,5N HNO3 solution. The pre-treatment of

the samples and the ICP-MS analysis were done in the same laboratory as the gamma

spectrometry.

4.3 Determination of the isotopic composition of Pb

There exist four stable isotopes of lead, 204Pb, 206Pb, 207Pb and 208Pb. The last three isotopes

are produced by the radioactive decay of 238U, 235U and 232Th respectively and are the so-

called radiogenic isotopes of lead. The isotopic composition of lead in a sample is defined by

the relative abundances of these four Pb isotopes and is in literature usually reported as 208Pb/206Pb and 206Pb/207Pb isotope ratios. Time and the initial U, Th and Pb concentration

control these relative abundances (Bollhöffer and Rosman, 2002). The Earth’s crust and ores

are characterised by a local variability in elemental and isotopic composition. This variability

makes it possible to use the isotopic composition of Pb to distinguish natural, local Pb from

Pb originating from other areas or ores. When Pb contamination occurs, the isotopic signature

of contaminated environmental samples will be a mixture of the natural, local isotopic

signature and the signatures of the different Pb contamination sources (Vanhaecke and Kyser,

2012).

The sediment solutions prepared for the determination of the total Pb concentration (see

above) were also used to determine the lead isotope ratios 208Pb/206Pb and 206Pb/207Pb with

ICP-QMS. Five replicates per sample were made with following experimental conditions: 3

channel reading, 30ms dwell time and 100 sweeps. Every three samples a reference material

was analysed (NIST SRM-981). The 2! errors on both isotopic ratios reached 0,23%.

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5 Results The measured total Pb concentrations and the isotopic ratios 206Pb/207Pb and 208Pb/206Pb in the

EPP1 core are graphically presented in Figure 5.1. The measured data are also tabulated in

Attachment 2. Concentrations ranged between 186 and 775 mg/kg. A local minimum (311

mg/kg) was present at 43cm depth, coinciding with a coarse sand layer. The concentrations

decreased significantly with depth (spearman rank, " =-0,806, p<0,01). We also calculated

EFs according to equation 1. The mean Pb concentration of the upper continental crust

(Taylor and McLennan, 1995) was used as a background concentration and Al was used as

the reference element. The EFs range between 36 and 116 and indicate that the measured Pb

concentrations are well above the mean crustal lead concentration. The spearman rank of -

0,755 (p<0,01) indicates that the EF’s decrease significantly through time. The maximum EF

is reached at 45 cm depth, which corresponded with the year 1987. The 206Pb/207Pb isotopic

ratio varies in a narrow range between 1,1481±0,0009 and 1,1578±0,0032. This isotopic ratio

does not show significant changes with depth or time (spearman rank " = -0,02; p=0,938).

Also the 208Pb/206Pb isotopic ratio does not significantly change with depth or time (spearman

rank " = -0,232; p=0,354). This isotopic ratio varies between 2,1014±0,0092 and

2,1242±0,0087.

The measured data in the five DRO1 samples are tabulated in Table 5.1. No dating was

available for this core, and only five samples were analysed. Therefore, we only discuss the

mean concentrations, EFs and isotopic ratios and no trends. The mean concentration of Pb in

the DRO1 samples was 90 mg/kg with a standard deviation (!2) of 14,9. The mean EF was 16

(!2 = 3,8). The mean 206Pb/207Pb isotopic ratio was 1,167 (!2 = 0,003) and the mean 208Pb/206Pb isotopic ratio 2,099 (!2 = 0,003).

Table 5.1: The total Pb concentration, the calculated EFs and the isotopic ratios 206Pb/207Pb and 208Pb/206Pb measured in the DRO1 sediment samples. The EF was calculated with respect to the mean concentration in the upper continental crust, determined by Taylor and Mclennan (1995).

Depth (cm) Pb (mg/kg) Pb EF 206Pb/207Pb 208Pb/206Pb

1 86 20 1,164±0,003 2,100±0,006

3 72 18 1,165±0,003 2,098±0,007

40 82 11 1,172±0,003 2,100±0,006

60 98 15 1,166±0,003 2,096±0,006

70 111 14 1,169±0,002 2,103±0,009

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Figure 5.1: The total Pb concentration, the calculated EFs and the isotopic ratios 206Pb/207Pb and 208Pb/206Pb measured in the EPP1 sediment core as a function of depth and time. The EF was calculated with respect to the mean concentration in the upper continental crust, determined by Taylor and Mclennan (1995).

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6 Discussion

6.1 Pb contamination in the DRO1 and EPP1 sediment cores

In Drogenbos (DRO1) the measured Pb concentrations and EFs were elevated. This indicates

that there is Pb contamination upstream of Brussels. This finding is confirmed by several

contaminated Pb profiles of Verstraelen (1998) which were collected upstream of Brussels.

The DRO1 samples can be compared with the samples of Lot (Verstraelen, 1998) because

both sampling locations are situated only a few 100 m from each other. The Pb concentrations

measured at both locations are of the same order of magnitude (72-110 mg/kg for DRO1 and

62-120 mg/kg for Lot). However, the EFs of Lot and DRO1 are significantly different (Mann-

Whitney test, p<0,05). This is explained by a different lithology at both sampling locations.

Metals sorb preferentially to small particles (i.e. clay minerals, Cundy and Croudace, 1995).

The DRO1 samples have a higher Al concentration, indicating a higher clay content. Also in

the other upstream profiles of Verstraelen lower Al concentrations were observed than in

DRO1 (see Table 2.3). These differences in results between our research and the study of

Verstraelen (1998) can be explained by various factors. Firstly, Verstraelen (1998) used

different techniques to determine the elemental concentrations (XRF in stead of ICP-QMS).

No information about the digestion process used by Verstraelen (1998) is avaialable.

Secondly, one can question the representativity of the material sampled in Drogenbos. Indeed,

at the base of the sedimentcore several brick fragments and plastic was found and next to the

sampling location several works were done between 2001 and 2011 (Renders, 2012).

Therefore, it is possible that the material sampled in the DRO1 core is deposited by man (e.g.

during works at the bank) and not by the river. Thirdly, local variations in lithology can

explain the different Al contents. Despite local variations in lithology, it is striking that the Pb

EFs in the DRO1 samples are relatively low compared to the samples of Verstraelen (1998).

Finally, the use of Al as a reference element in the calculation of EFs influences the results as

well. Al is used in antropogenic activities and therefore might not reflect the pre-industrial Al-

concentration of the sediment sample. Unfortunately, no grain size analyses were done on the

DRO1 samples, so the correlation between Al concentration and the clay content is unknown.

However, other elements related to the clay content without antropgenic uses (e.g. Ti and K)

are also elevated in the DRO1 samples (results presented in Renders, 2012). This indicates

that the DRO1 samples have a higher clay content than the other upstream samples.

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The results showed that in Eppegem, downstream of Brussels, high levels of Pb were

measured. The concentrations and EFs in EPP1 were significantly higher than those measured

upstream of Brussels (Mann-Whitney test, p<0,05), indicating major Pb contamination.

Ajmone-Marsan and Biasioli (2010) showed that, in general, urban soils contain high

concentrations of Pb, due to the high usage of this metal in antropogenic, urban activities.

Therefore, we can attribute part of the Pb contamination in Eppegem to Brussels. The

remaining part of Pb contamination is probably caused by the industry along the Zenne and

Brussels-Willebroek canal. The sampling location of EPP1 is situated just downstream of the

‘Hevels van Vilvoorde’. This is a construction between the canal Brussel-Willebroek and the

Zenne to divert water from the canal to the Zenne in case of high water levels in the canal

(IMDC et al., 2005) When water is diverted from the canal to the Zenne, the water level in the

Zenne will rise, probably causing sedimentation at the sampling location in Eppegem.

Therefore, EPP1 reflects the metal contamination in both the canal and Zenne.

The significant decrease in both the Pb concentrations and EFs towards the surface in the

EPP1 core indicates a decreasing Pb contamination of the Zenne downstream of Brussels

through time. A major cause for this decrease is likely the de-industrialisation of Brussels and

the surrounding areas since the 1970s. Today, virtually no industry is present anymore in the

region (Vandermotten et al., 2009). A second influencing factor is probably the fact that the

environmental regulations in Europe and Belgium have become more strict since the 1970s

(Garnier et al., 2012). Thus, the remaining industry (e.g. Audi-Vorst and Tessenderlo Chemie

in Vilvoorde) needs to meet these regulations about environmental emissions of pollutants

and less Pb is emitted to the environment. Also the implementation of the WWTP Aquiris in

2007 may have had an influence on the Pb content. This WWTP treats the wastewater of 1,4

million inhabitants of the city of Brussels. It is designed to remove organic matter and

nutrients (Garnier et al., 2012), but some sediment is also removed during the treatment.

We observe two local maxima and a local minimum in the calculated EFs. The maxima occur

in 1987 (45 cm depth) and 2005 (12 cm depth). Renders (2012) already suggested that the

observed peak at 12 cm depth might be caused in June 2006. In this month (14/06/2006), the

VMM measured 311 µg Pb/l in the river water, one of the highest concentrations ever

measured in Eppegem. The high Pb concentration in the water was probably caused by high

discharges in the river and thus, high amounts of contaminated sediment transported in the

river (Magnier, 2012). Another explanation might be an industrial discharge of contaminants

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in the Zenne or canal. However, more research is needed to confirm this hypothesis. The

maximum at 45 cm depth can be caused by the same mechanisms, but no information of the

VMM or its precursor is available for this period. The minimum occurs in 1988, just after the

maximum at 45 cm depth. It coincides with a coarse and sandy layer. This minimum is

probably not caused by a sudden drop in Pb contamination, but by a non-linear relationship

between Al and the grain size. If Al were linearly related with the grain size, the grain size

would not have an effect in the calculation of the EFs.

It is striking that the Pb concentrations and EFs of the EPP1-core are significantly higher

(Mann Whitney test, p<0,01) than those measured in the profiles of Verstraelen (1998) or

Callebaut (2001) (see section 2.2.2). Only in the Pb profile of Weerde, analysed by Swennen

and Van der Sluys (1998), concentrations of the same order of magnitude were measured.

Also the Pb levels in the riverbed samples collected downstream of Brussels (see Table 2.1

and Table 2.2) are of the same order of magnitude as the EPP1 samples of the same age. The

different concentrations and EFs between EPP1 and Weerde and the profiles of Verstraelen

(1998) and Callebaut (2001) are probably explained by the relative position of the river to the

sampling locations. The EPP1 and Weerde samples are probably collected in riverbed

sediments instead of in the less contaminated floodplain sediments.

Metal contamination in the floodplains of the Seine river in France was analysed in depth by

Le Cloarec et al. (2011) and Ayrault et al. (2012). These studies used the same methodology

as was applied in this work and Renders (2012). Therefore a comparison between the Zenne

and the Seine, two highly urbanised and industrialised river catchments, is possible. No Al

concentration is reported by Le Cloarec et al. (2011), so EFs with respect to the upper

continental crust cannot be calculated, therefore we compare the measured Pb concentrations.

In Table 6.1 the Pb concentrations in a dated sediment core (M1) from downstream of Paris

are reported, also the Pb concentrations measured in samples of EPP1 with corresponding

ages are given. Note that only some samples of M1 are reported, because this core covers a

much longer time span than EPP1. The concentrations measured in the EPP1 core are higher

than those measured in the Seine, despite the Seine is heavily polluted with Pb (Le Cloarec et

al., 2011; Ayrault et al., 2012). However, it needs to be noted that grain size and organic

carbon can influence this comparison (Cundy and Croudace, 1995). As noted above, the

relative location of the cores to the river can also influence the comparison.

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Table 6.1: Comparison between Pb concentration in sediment samples of the Zenne (EPP1) and the Seine (M1, data Ayrault et al., 2012)

Year Pb (mg/kg) in EPP1 Pb (mg/kg) in M1

2011 332 n.a.

2001 (M1)/ 2000 (EPP1) 309 74

1986 596 136

1980 (M1)/ 1979 (EPP1) 775 162

1974 690 n.a.

1938 n.a. 421

It is important to note the limitations about the use of sediment records along a river to

reconstruct the metal contamination through time. Bølviken et al. (2004) state that the vertical

variations of the chemical composition in overbank sediments do not always represent

variations of river characteristics through time.

Firstly, atmospheric deposition of airborne contaminants can occur onto the sediments. Thus,

the sediments do not only represent changes in the characteristics of the river water, but also

changes in airborne contaminants, which are not necessarily produced in the river catchment

(Bølviken et al., 2004). Pacyna and Pacyna (2000) showed that anthropogenic Pb emissions

into the atmosphere in Belgium are substantial. In Figure 6.1 it can be seen that the

atmospheric Pb emissions decreased since the 1970s. Especially the contribution of the

combustion of gasoline decreased strongly between 1975 and 1985. Also the emissions

associated with the other contributing activities decreased. However, the determination of the

deposited Pb from the atmosphere is unknown. In the case when multiple sediment cores are

compared to each other, it is assumed that each core received the same amount of atmospheric

depositions through time. In the case of the EPP1 core, the decrease in atmospheric Pb

concentrations, and thus a decrease in atmospheric Pb deposition, can also partly explain the

decreasing concentrations with time in the sediment core.

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Figure 6.1: Atmospheric Pb emissions in Belgium (data Pacyna and Pacyna, 2000)

A second major influencing factor is the secondary mobility (leaching) of contaminants after

the deposition of the sediments. Leaching is influenced by pH, organic carbon content, grain

size, time or biological activity (Cappuyns and Swennen, 2004; Du Laing et al., 2009). No

tests were conducted to determine the potential for leaching of Pb in the EPP1 core, but the

mobility of Pb in sediments is in general negligible (Kober et al., 1999; Alfonso et al., 2001;

Sonke et al., 2002).

A last important confounding factor is the potential post-depositional mixing of the sediments

caused by anthropogenic activities, lateral migration of the river or bioturbation (Bølviken et

al., 2004; Wijnhoven et al., 2006; Du Laing et al., 2009). However, the presence of a reliable

dating on the EPP1 core leads us to rule out the possibility of redistribution of sediment after

its deposition (Renders, 2012).

6.2 A local background concentration for Pb?

The discussed EFs were calculated with respect to the mean crustal Pb and Al concentration

of the upper crust as determined by Taylor and McLennan (1995). However, this mean

concentration of the upper crust does not reflect local variations in the Pb concentration of

soils and sediments. In the literature review (see section 2.2.2), we reported several low Pb

concentrations measured at the base of different profiles along the riverbanks of the Zenne

"!

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C/5DE=../17!8=3?@!8?51E?231.45F!

G3?34/5?.H!E1=@!2/8A1734/5!

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(Verstraelen, 1998 and Callebaut, 2001). These profiles were probably not contaminated at

their base and therefore reflect the natural Pb concentrations in the Zenne basin.

From all available Pb profiles in sediments in the Zenne basin, only one was dated: EPP1.

This core is heavily contaminated and only covers a very recent time span (see section 4.1).

The lack of dating on the other profiles makes it difficult to select pre-industrial samples.

Therefore, we choose a conservative approach to construct a local background concentration

for Pb in the Zenne basin. We only select the deepest (and probably oldest) samples of the

profiles if the Pb levels of the sample above and the deepest samples from the other profiles

are of the same magnitude. To exclude grain size effects in the selection of samples, we

normalise the Pb concentration with the reference element Al. Based on this approach, we

selected the deepest samples of profiles B, C, BI, D and F (Callebaut, 2001) and the deepest

sample of Quenast (Verstraelen, 1998). The profiles analysed by Callebaut (2001) are situated

in the lower reaches of the Zenne. In contrast, the profile of Quenast is situated near the

source of the Zenne. This spatial distribution of the selected samples makes them

representative for the whole catchment.

The mean Pb concentration of the selected samples is 6 mg/kg (!2 = 1,54). This value is much

lower than the mean concentration of the upper continental crust (20 mg/kg) determined by

Taylor and McLennan (1995). This difference can be explained by two factors: (i) local

variability and (ii) the clay content of the sediments. Trace elements will preferentially sorb to

fine particles, i.e. clay particles. As explained above, Al is associated with clay minerals

(Cundy and Croudace, 1995; Shotyk, 1996). The upper continental crust contains more Al

(8,04%) than the sediments collected in the Zenne basin (3,69%). Therefore, the

concentrations of trace elements like Pb will be higher in the upper continental crust than in

the sediments of the Zenne basin. The low Al content in the Zenne basin (compared to the

mean upper continental crust) is probably caused by the geological substrate of the Zenne

basin: Tertiary and Quaternary cover sands (De Béthune, 1961). However, more dated pre-

industrial sediment samples spread over the entire catchment are needed to confirm the

relevance of this background concentration.

The determined background concentration of Pb can be used to re-calculate the EFs. In Figure

6.2 the calculated EFs with respect to the local background are shown for the EPP1 core. The

calculated EFs for the EPP1 core vary between 55 and 176, which is very high. The EFs with

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respect to the local background are higher than those with respect to the upper continental

crust, but the same pattern is observed.

Figure 6.2: Enrichment Factors of the EPP1 samples with respect to a constructed local geochemical background (EF local) and with respect to the upper continental crust (EF crust).

6.3 Lead contamination sources

The total Pb concentration in environmental samples (e.g. sediments) can consist of a mixture

of different Pb sources. Therefore, the isotopic composition of Pb in a sample will be a

mixture of the isotopic compositions of the Pb-sources that have contributed to the sample.

These contributing Pb-sources are also called end-members (Vanhaecke and Kyser, 2012).

6.3.1 Anthropogenic Pb sources in the Zenne basin

The origin of Pb used in the Zenne basin has probably changed throughout history. In Table

6.2 the isotopic signatures of different Pb ores are given. These ores are known to produce Pb

for different European cities and regions throughout history (Sonke et al., 2002; De

Vleeschouwer et al., 2007; Farmer et al., 2011; Ayrault et al., 2012) and were potentially

imported in the Zenne basin. The mean isotopic composition of the continental crust,

determined by Millot et al. (2004) is also given as a reference.

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Table 6.2: Isotopic signatures of different Pb ores potentially imported in the Zenne basin. If multiple samples were analysed in the studies, we give the range of the obtained results.

206Pb/207Pb 208Pb/206Pb Reference

Belgian ores 1,167-1,188 2,075-2,108 Dejonghe, 1998

Congolese ores 1,076-1,163 2,065-2,235 Sonke et al., 2002

German ores 1,150-1,189 2,056-2,112 Sonke et al., 2002

Spanish ore (Rio Tinto) 1,164 2,101 Marcoux, 1998

Australian ore (Broken Hill) 1,040 2,220 Townsend et al., 1998

Mean continental crust 1,205 2,062 Millot et al., 2004

Belgian pre-industrial

sediment (Kempen region)

1,2045 2,058 Sonke et al., 2002

Pb imported from different ores is processed and mixed in different anthropogenic activities

(e.g. industrial processes or gasoline additives). Therefore, these activities will also have

distinct Pb isotopic signatures (Komárek et al., 2008). In Table 6.3 isotopic signatures of Pb

in different environmental samples collected in the Zenne basin or other relevant areas are

reported. No reliable information about the isotopic composition of gasoline additives in

Belgium exists. Therefore, we present the isotopic composition of gasoline additives in

France and the Netherlands.

As discussed before (see section 2.1) the industry in the Zenne basin started to grow

exponentially since the construction of the canal between Charleroi and Brussels. This canal

was used to transport coal from the mines in Charleroi (Deligne, 2001, 2003). Therefore, we

assume that the majority of the coal combusted in the Zenne basin originated from the mines

in the south of Belgium. The isotopic composition of Pb released by combustion of Belgian

coal (determined by Walraven et al., 1997) is also tabulated in Table 6.3.

Isotopic ratios of Pb can be interpreted in ‘three isotopes plots’. In such a plot the isotopic

ratios 206Pb/207Pb and 208Pb/206Pb are plotted against each other. In this plot, the measured

isotopic compositions in the samples will fall within a triangle formed between the plotted

isotopic compositions of three distinct Pb sources or end-members (Vanhaecke and Kyser,

2012). A three-isotope plot is interpreted the same way as texture triangles used to classify

soils.

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Table 6.3: Mean isotopic ratios of Pb in different environmental samples in the Zenne basin or other relevant areas. If multiple samples were analysed in the studies, we give the range of the obtained results.

206Pb/207Pb 208Pb/206Pb Reference

Gasoline in France 1,084 2,182 Mona et al., 1997

Gasoline in the Netherlands 1,062 2,28 Hopper et al., 1991

Aerosols in Brussels (1972-75) 1,141-1,146 2,115-2,119 Petit, 1977

Aerosols in Charleroi 1,129 2,1331 (Petit, 1974)

Precipitation in Brussels (1974-75) 1,137-1,146 2,106-2,121 Id

Metallurgic industry in Hoboken

(1974)

1,179-1,184 2,064-2,084 Id

Belgian coals and coal ashes 1,170-1,180 2,091-2,098 Walraven et al., 1997

The three isotopes plots (Figure 6.3 and Figure 6.4) reveal that the isotopic composition of

both sediment cores was very distinct. The isotopic signatures of the DRO1 samples lie closer

to the isotopic composition of the crust (see Table 6.2) than the EPP1 samples. This is

probably caused by the upstream position of Drogenbos to Brussels and the consequent lower

levels of Pb contamination.

We also see that all analysed samples fall on a mixing line between the isotopic composition

of the crust and the isotopic composition of the Broken Hill ore (Figure 6.3). The Australian

Broken Hill ore was mainly used to produce Pb additives for gasoline in Western Europe

(Komárek et al., 2008). This was also the case for Belgium. The relative contribution of Pb

from Broken Hill in Pb additives in Belgian gasoline ranged between 45 and 61% between

1970 and 1974. The remaining fraction originated from Canadian and South African ores

(Petit, 1977). This explains why gasoline additives can be identified as an end-member in

Figure 6.4.

The isotopic composition of gasoline additives changed through time due to changing

mixtures of Pb originating from different ores. In France for example, the contribution of Pb

from Broken Hill to leaded gasoline varied between 50 and 80% between 1980 and 1995.

Consequently, the 206Pb/207Pb isotopic ratio ranged between 1,06 and 1,10 in the same period

(Véron et al., 1999). This temporal variation in isotopic signature of leaded gasoline might

partially explain the different signature of Pb additives in the Netherlands and France. In the

following, we assume the isotopic composition of Pb additives used in France is the same as

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the one of Belgium. Indeed, the different atmospheric samples (aerosols and precipitation)

collected in Belgium (Petit, 1974 & 1977) have an isotopic composition that lie on the mixing

line between the isotopic signature of leaded gasoline in France and the natural end-member.

The deviations of the determined isotopic compositions around the mixing line between the

natural end-member and leaded gasoline can be caused by (i) the uncertainty of the isotopic

compositions of the two end-members that define the mixing line or (ii) the presence of a

third, but unknown end-member.

In Figure 6.3 it can be seen that the DRO1-samples have a signature close to the one of the

Spanish Rio Tinto ore. According to Fletcher (1991), Spain was the biggest Pb producer in

Europe since 1878 and Spanish Pb was exported to the entire world. Ayrault et al. (2012)

showed that, by means of isotopic analyses, historic urban Pb (i.e. before the introduction of

leaded gasoline) in Paris mainly originated from the Rio Tinto ore. This might be the case for

Brussels and the Zenne basin as well. However, the isotopic composition of Pb in the DRO1

samples possibly also resembles a mixture between Pb originating from Belgian or German

ores and leaded gasoline (see Figure 6.3 and 6.4). The average and most recent (2011) 206Pb/207Pb ratio of the EPP1-samples (1,154 ± 0,003) is equal to the signature of the ‘urban

Pb’ in Paris as reported by Ayrault et al., 2012. Ayrault et al. (2012) defined urban Pb as the

mixture of historical Parisian lead (i.e. Pb originating from Rio Tinto) and Pb originating from

leaded gasoline. This strengths the hypothesis that historic urban Pb in Brussels originated

from the Spanish ores, because downstream of Brussels (i.e. in Eppegem) the isotopic

signature of Pb is a mixture between the natural end-member, Pb originating from leaded

gasoline and Pb introduced in the catchment before the introduction of leaded gasoline.

Unfortunately, to our knowledge, no long time series of isotopic signatures of Pb in urban

areas in the Zenne basin or Belgium exist to proof this hypothesis. Therefore, the isotopic

compositions of dated pre-industrial sediment samples are needed.

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Figure 6.3: Three isotopes plot of sediment cores EPP1 and DRO1 and different ores that were potentially imported in the Zenne basin. The mixing line between the isotopic composition of the crust and the Broken Hill ore is also indicated.

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34

Figure 6.4: Three isotopes plot of the sediment samples EPP1 and DRO1 and different anthropogenic activities in the Zenne basin. The mixing line between the isotopic composition of the crust and leaded gasoline is also indicated.

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To see if the relative contribution of leaded gasoline decreased since the stricter regulations,

we have a more detailed look at the EPP1 samples in a three isotopes plot (Figure 6.5). A

significant change (spearman rank ! = -0,510, p<0,05) is observed in the isotopic signatures

of the EPP1 samples in Figure 6.5. This indicates that the contribution of leaded gasoline

decreased in time, and the isotopic compositions of the sediments shifted towards the natural

end-member. This finding is in agreement with the findings in other studies about the

temporal evolution of Pb contamination in Europe (e.g. Monna et al., 1997; Sonke et al.,

2002; De Vleeschouwer et al., 2007; Ayrault et al., 2010) and the decrease of Pb emissions

from combustion of leaded gasoline (Pacyna and Pacyna, 2000; von Storch et al., 2003).

There are some other interesting features in Figure 6.5 to observe. First of all, the sample at 3

cm depth (dated as 2009) has the lowest 206Pb/207Pb isotopic ratio of all EPP1 samples, despite

the fact that it has one of the lowest EFs. This might indicate that the total Pb concentration in

this sample originates for a higher percentage from e.g. gasoline. Different explanations are

possible for the low ratio. Firstly, an increase in leaded gasoline emissions in the environment

can decrease the 206Pb/207Pb isotopic ratio. However, this hypothesis is unlikely because

leaded gasoline is not available anymore in Belgium since the 1990s (Von Storch et al.,

2003). Secondly, a decrease in the contribution of the industry or a decrease in coal

combustion increases the relative contribution of ‘old’ emissions of Pb originating from

gasoline. A final hypothesis is based on the coincidence of the low 206Pb/207Pb isotopic ratio

with the temporary closure of Aquiris, the biggest WWTP of Brussels in April 2009. If the

sediment that is normally retained in this WWTP (i.e. soil particles from the city centre of

Brussels) is enriched with Pb originating from leaded gasoline, the 206Pb/207Pb isotopic ratio

will decrease.

A second interesting sample is the one at 40 cm depth, dated 1990. In Figure 6.5 it can be

seen that it does not fall on the mixing line between the isotopic composition of gasoline and

the pre-industrial sediments. A third, but unknown, end-member has probably contributed

substantially to this sample.

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Figure 6.5: Three isotopes plot of the EPP1 samples. The depth and determined age of each sample is given.

6.3.2 Determination of the fraction of contributing Pb sources

Until now, we only qualitatively discussed the Pb isotopic data. However, theoretical models

exist to determine the relative contribution of different end-members to a sample.

In literature a simple, two-end-member model based on the isotopic composition is frequently

used (Monna et al., 1997; Komárek et al., 2008; Ayrault et al., 2012). This model is given by

equation (2):

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&$'&*%

&$'(!%

'$'.-% '$'.+% '$'*!% '$'*&% '$'*.% '$'*-% '$'*+% '$'-!%

!"# $%&

!"' $%(

!"'$%&!")$%(

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37

!! !

!"!"#

!"!"#!"#$%&

! !"!"#

!"!"#!

!"!"#

!"!"#!! !"!"#

!"!"#!

!""

(2)

where (206Pb/207Pb)i, for i = sample, A and B, the isotopic composition of the sample and two

end-members A and B. In the three-isotope plot (Figure 6.4) we saw that most variation

within the determined isotopic compositions was explained by two sources of Pb: leaded

gasoline and the natural isotopic composition of the crust.

Another, more complicated, model was used by Shirahata et al. (1980). This model

incorporates the isotopic composition of Pb and the Pb concentration of the sample and two

end-members A and B. It is given by equation 3:

!" ! !

!"!"#

!"!"#!"#$%&

!" !"#$%& !!"!"#

!"!"#!!" !

! !"!"#

!"!"#!

(3)

The determined EFs can also be used to assess the anthropogenic Pb fraction in a sample

without the use of the isotopic composition. This can be done by eq. (4):

f = 1 - (1/EF) (4)

It is easy to show that equation 4 is related to the model used by Shotyk (1996) and Sonke et

al. (2002) to determine the anthropogenic contribution of Pb within the total Pb concentration

of a sample. This model is given by eq. (5)

!" !"#$%&%'(")* ! !" !"!#$!!"#$%& ! !" !"#$%&!"!" !"#$%

(5)

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38

In case of eq. 3 and 5, the anthropogenic fraction can be calculated as the ratio between the

anthropogenic Pb concentration and the total Pb concentration of a sample.

All these models have been applied on the DRO1 and EPP1 samples. We chose leaded

gasoline of France and the upper crust as end-members (see Table 6.3 for the isotopic

signatures and references). The results are summarised in Table 6.4. The average fraction of

Pb originating from leaded gasoline in the DRO1 samples is always significantly lower

(Mann Whitney test, p<0,05) than the fractions calculated in the EPP1 samples. This could be

expected from the relative position of the EPP1 and DRO1 samples on the mixing line in

Figure 6.4. It is striking that the fractions that were obtained with eq. 2 are significantly lower

(Mann Whitney test, p<0,05) and not significantly correlated with the results obtained with

eq. 3 and 4 (Spearman rank test, p>0,05). The results obtained with eq. 3 and eq. 4 are highly

significantly correlated (spearman rank of 0,901; p<0,01), which is in agreement with the

findings of Sonke et al., (2002). The obtained results of eq. 3 and eq. 4 show that the

anthropogenic fraction of Pb decreases significantly through time (Spearman rank of

respectively -0,788 and -0,755, p<0,01). This confirms our finding that the influence of

leaded gasoline decreases through time. The different results between eq. 2 and eqs. 3 and 4

are probably caused by the incorporation of the total Pb concentration in the model. In the

results obtained with eq. 3, we see that anthropogenic fractions up to 104% are obtained. This

is not realistic, but is probably caused by the use of the total Pb concentration in the samples

and thus, differences in organic carbon content and grain size are not incorporated.

Table 6.4: The fraction of leaded gasoline that contributed to the different samples, according to different models

Average DRO1

("2)

Range EPP1

Eq. 2 31% (2,6) 39-47%

Eq. 3 82% (4,2) 94-104%

Eq. 4 93% (1,6) 97-99%

Three-end-member models are also developed in literature (e.g. Li et al., 2012) but are

complicated to apply and need a lot of additional data about the different end-members. In the

case of the EPP1-core it is not relevant to apply these models, because we only identified two

end-members.

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39

7 Conclusions

7.1 General conclusions

To reconstruct the lead (Pb) contamination in the Zenne basin, we used a dated sediment-core

(referred to as EPP1) that was collected along the Zenne downstream of Brussels, and a non-

dated sediment core collected in Drogenbos (upstream of Brussels). The following three

research questions were formulated.

1. Can we see an evolution in the concentrations and isotopic composition of lead

through time?

2. Is it possible to determine different sources of lead contamination in the Zenne basin

based on the isotopic composition of lead?

3. Is it possible to explain trends or peak events of the lead contamination through time

based on the isotopic compositions of lead?

The following conclusion forms the answer to these questions.

The Pb concentrations (up to 775 mg/kg) and enrichment factors revealed a high level of Pb

contamination of the Zenne, but they decrease significantly through time. This decrease is

probably caused by the de-industrialisation of Brussels and the stricter environmental

regulations that were introduced since the 1970s. In Drogenbos, the average Pb concentration

was 90 mg/kg ("2 = 14,9). This is significantly lower than the concentrations measured in

Eppegem. This difference in concentrations indicates a large contribution of Brussels to Pb

contamination in the Zenne. Still, the Pb concentrations in Drogenbos are well above the

mean Pb concentration of the upper crust. This indicates that also Pb contamination exists

upstream of Brussels.

The average isotopic composition of Pb in the Drogenbos samples (206Pb/207Pb = 1,167; "2 =

0,003 and 208Pb/206Pb = 2,099; "2 = 0,003) was significantly different from the isotopic

composition of the EPP1-samples (206Pb/207Pb = 1,148-1,158 and 208Pb/206Pb = 2,101-2,124).

We used three-isotopes plots to determine different sources or end-members of Pb

contamination. In these plots it became clear that, in addition to the natural isotopic

composition, leaded gasoline contributed significantly to the Pb contamination in both the

EPP1 and Drogenbos samples. However, leaded gasoline contributed significantly more in the

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40

EPP1 samples than in the Drogenbos samples, probably because Drogenbos is situated

upstream of Brussels. We also found indications that the Pb used in the Zenne basin before

the introduction of leaded gasoline probably originated from the Spanish Rio Tinto ore.

In the three-isotopes plots we saw that the isotopic composition in the EPP1-core shifted

significantly from the isotopic composition of leaded gasoline towards the natural end-

member through time. The decrease in time of the contribution of leaded gasoline to Pb

contamination in the Zenne was also observed in the determined fractions of leaded gasoline

within the samples. These results reflect the decreasing use of leaded gasoline due to the

changed regulations since the 1970s and explain partially the decreasing Pb concentration

through time.

7.2 Scope for future research

To make an assessment about the degree of Pb contamination we calculated enrichment

factors. We used the mean Pb concentration of the upper continental crust as a background

value in these calculations. However, by doing this, local variations in background

concentration are not taken into account. Therefore, we made an attempt to construct a local

background concentration for Pb in the Zenne basin based on results published in literature.

To confirm this background concentration, more dateable sediment cores are needed. These

dateable sediment cores should reach sediments of pre-industrial age and must be located in

different parts of the Zenne basin. Ideally, these sediment cores must be collected in the upper

reaches of the catchment and just upstream and downstream of Brussels. In this way, the

spatial and temporal evolution of Pb contamination in the whole catchment can be

characterised.

These dateable sediment cores are also needed to test the hypothesis if the Spanish Rio Tinto

ore was the main source for Pb in the Zenne basin before the introduction of leaded gasoline.

Detailed historical data about the industry, import and ways of production in the Zenne basin,

if existing, could also contribute to determine the different sources of Pb contamination.

Little studies on the isotopic composition of Pb in the Zenne basin, or central Belgium, exist.

More research about this subject can give more insight and understandings in the evolution of

Pb usage in Belgium.

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!

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Attachment 1 In this attachment the results of the gamma spectrometry on the EPP1 sediment core are

given. These results were presented in Renders (2012). Note that the activities of both proxies

are normalised by the Th content of the samples. This was done to remove the grain size

effects. The peak in 137Cs activity at 46-47 cm depth is attributed to the Chernobyl accident in

1986, indicating a sedimentation rate of 1,88 cm/year. The 210Pb-xs activity decreases

exponentially with depth. The logarithmic function fitted on the 210Pb-xs depth distribution

allowed Renders (2012) to determine a sedimentation rate of 2,07 cm/year. More information

about the dating and its reliability can be found in Renders (2012).

!

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Attachment 2 In this attachment, the results of the ICP-QMS analyses on all samples are tabulated.

name

sample

Depth

(cm)

Year Pb

(mg/kg)

206Pb/207Pb 2s 208Pb/206Pb 2s

EPP1 00 0 2011 331,7 1,1547 0,0026 2,1118 0,0100

EPP1 03 3 2009 186,3 1,1481 0,0009 2,1154 0,0016

EPP1 05 5 2008 n.d 1,1561 0,0008 2,1067 0,0017

EPP1 07,5 7,5 2007 245,0 1,1549 0,0006 2,1086 0,0023

EPP1 10 10 2006 283,6 1,1526 0,0039 2,1151 0,0097

EPP1 12 12 2005 285,5 1,1577 0,0008 2,1054 0,0018

EPP1 15 15 2003 224,4 1,1578 0,0007 2,1043 0,0016

EPP1 17 17 2002 250,9 1,1549 0,0006 2,1063 0,0013

EPP1 21 21 2000 308,8 1,1548 0,0010 2,1058 0,0030

EPP1 24 24 1998 341,9 1,1536 0,0006 2,1082 0,0024

EPP1 30 30 1995 596,6 1,1553 0,0054 2,1055 0,0074

EPP1 40 40 1990 606,9 1,1547 0,0046 2,1242 0,0087

EPP1 43 43 1988 311,3 1,1520 0,0049 2,1116 0,0075

EPP1 45 45 1987 600,9 1,1526 0,0039 2,1114 0,0082

EPP1 47 47 1986 595,8 1,1516 0,0045 2,1037 0,0068

EPP1 50 50 1984 559,0 1,1486 0,0042 2,1094 0,0076

EPP1 60 60 1979 775,2 1,1569 0,0029 2,1014 0,0092

EPP1 70 70 1974 690,4 1,1578 0,0032 2,1113 0,0094

!

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51

Attachment 3 In this attachment, the existing Pb profiles in sediments along the Zenne are given. These

profiles were analysed by Verstraelen (1998) en Callebaut (2001). The EFs were calculated in

this work.

Profiles analysed by Verstraelen (1998)

!%*!%'!!%'*!%&!!%&*!%(!!%

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*+,-.(/012(

$%(=>(!"#$#%&'%

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52

!

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$%(=>(

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$%(=>(!"#$%&'(

Page 63: A sediment record of lead contamination in the Zenne River ...lib.ugent.be/fulltxt/RUG01/002/063/749/RUG01... · Twee sedimentkernen die verzameld werden langs de rivier Zenne in

53

Profiles analysed by Callebaut (2001)

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!

C

Page 64: A sediment record of lead contamination in the Zenne River ...lib.ugent.be/fulltxt/RUG01/002/063/749/RUG01... · Twee sedimentkernen die verzameld werden langs de rivier Zenne in

54

!%'!%&!%(!%.!%*!%-!%,!%+!%)!%

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$%(/1:&;:2(

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!% &!% .!% -!%

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!

!

!

Page 65: A sediment record of lead contamination in the Zenne River ...lib.ugent.be/fulltxt/RUG01/002/063/749/RUG01... · Twee sedimentkernen die verzameld werden langs de rivier Zenne in

55

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