Paolo Benettin

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On the Integrated Response of Catchments: benchmark applications using chloride and isotopic tracers

Paolo Benettin

Workshop on coupled hydrological modling Padova | 23 – 24 April 2015

age T

𝒑𝑸(𝑻, 𝒕)

Distribution of water parcels

time

𝐢 𝑑 = 𝑐 𝑇 𝒑𝑸 𝑻, 𝒕 𝑑𝑇

∞

0

fundamental link between water age and water quality

spatially-integrated approach

2

NO FERTILIZATION

Measurements from the Hupsel Brook Catchment, NL

1 – slow transport response

TTDs and transport

NL

outlet

2 – fast β€˜reactivity’ during storms

CHLORIDE concentration measurements

3

β€’ fast calibration

β€’ easy exploration of the parameter space

spatially-integrated approach

simplification of the system, no physically-based

descriptions

β€˜soft’ models that capture the emergent transport

processes

suitable for hydrologic TRANSPORT and TTDs

effective integration of spatial complexity

4

integrated catchment response

from McDonnell et al., 2010, HP

realistic distributions ideal distributions

𝒑𝑸(𝑻, 𝒕)

smooth, easy to parameterize

irregular, time-variant

5

πœ• [𝑆 𝑑 𝒑𝑺 𝑇, 𝑑 ]

πœ•π‘‘+πœ•[𝑆 𝑑 𝒑𝑺 𝑇, 𝑑 ]

πœ•π‘‡= βˆ’π‘„ 𝑑 𝝎(𝑇, 𝑑) 𝒑𝑺(𝑇, 𝑑)

Age Master Equation (after Botter et al., GRL, 2011):

younger water

𝝎 (𝑇, 𝑑)

1

older water

𝒑𝑺(𝑇, 𝑑)

age tracking at catchment scale

age distribution of the water storage

StorAge Selection (SAS) functions

age T

RS

6

Random sampling: 𝑝𝑄(𝑇, 𝑑) = 𝑝𝑆(𝑇, 𝑑)

∞ S(t)

Q(t) Q(t)

𝐢𝑄 𝑑 = 𝐢𝑆 π‘‡βˆž

0

𝑝𝑸 𝑇, 𝑑 𝑑𝑇

𝐢𝑄 𝑑 = 𝐢𝑆 π‘‡βˆž

0

𝑝𝑺 𝑇, 𝑑 𝑑𝑇 = 𝐢 𝑆 𝑑

solute concentration at the catchment outlet

= 𝑀𝑆 𝑑 /𝑆(𝑑)

S(t)

more on the RS

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many RS compartments one non-RS compartment

𝝎 (𝑇, 𝑑) 𝝎 (𝑇, 𝑑) 𝝎 (𝑇, 𝑑)

two practical approaches

need for a full hydrologic model (internal fluxes) incorporates catchment characteristics (easier)

based on data

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DRAWBACKS β€’ dry deposition β€’ concentration is often too low (noise) β€’ effect of plants: output conc. higher

than input conc.

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chloride as a tracer

MAIN SOURCES β€’ atmosphere (coastal areas) β€’ agriculture (KCl is widely used) β€’ (road salting)

TRACER? β€’ mostly yes β€’ no degradation β€’ nutrient for plants, but in very low

concentrations

NL

outlet

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chloride as a tracer

Hupsel Brook (NL)

Upper Hafren Plynlimon (UK)

fertilization fertilization

shorter (30-100 d) travel times

Q [

mm

/h]

longer (2-3 y) travel times

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Hupsel Brook

Benettin et al., 2013, WRR

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Upper Hafren, Plynlimon

longer travel times

shorter travel times

Benettin et al., 2015, WRR

water stable isotopes

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MAIN SOURCES β€’ atmosphere β€’ (deutered water for small experiments)

liquid 2H, 18O

vapor

depleted enriched

2H, 18O

heavy

lighter lighter

Deuterium Hubbard Brook WS3 (USA)

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water stable isotopes

TRACER? β€’ mostly yes β€’ from precipitation to discharge β€’ if snowmelt and evaporation have

minor impact

precipitation

EPFL lysimeter (CH)

Hubbard Brook WS3 (USA)

MOBILE WATER

MINERAL

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dissolved Si and Na

Hubbard Brook WS3 NH, USA

hydrologic transport in a forested catchment

NS= 0.62

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deuterium transport

travel time distributions

Silicon (Si)

Nov-2006 Nov-2007 Nov-2008

dry days:

many old particles

wet days:

many young particles

𝐢 𝑑 = πΆπ‘’π‘ž 1 βˆ’ π‘’βˆ’π‘˜π‘» 𝑝 𝑄 𝑻, 𝑑 𝑑𝑻

∞

0

πΆπ‘’π‘ž 𝑐(𝑇)

1Β° order chemical kinetics:

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age-dependent transport

14-year dataset dissolved silicon and sodium

NS= 0.42 - 0.76

Silicon (Si) Sodium (Na)

NS= 0.34 - 0.66

1/π‘˜ ~ 10 βˆ’ 13 π‘‘π‘Žπ‘¦π‘ 

Benettin et al., in review 18

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non-RS compartment

Queloz et al., 2015a,b, WRR

Injection of fluorobenzoate (FBA) tracers

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ET

Q

fractional AGE older younger

validation

con

cen

trat

ion

[m

g/l

]

measurements

simulations

Q [

mm

/h]

mean age ~ 60-80 d β€˜direct SAS approach’

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β€’ simple hydrochemical models generate complex age dynamics

β€’ use of age distributions to model geogenic solutes

β€’ multi-RS system can efficiently reproduce emergent transport dynamics

β€’ deeper exploration of β€˜direct SAS’ approach

β€’ characterization of the age of evapotranspiration

β€’ move on to complex transport dynamics (e.g. nitrates)

Summary Future perspectives

acknowledgments

Plynlimon data:

Ype van der Velde

Hupsel Brook data:

Hubbard Brook data:

K.J. McGuire, S.W. Bailey, JP Gannon, M. Green, J. Campbell, G. Likens, D. Buso

ENAC/IIE/ECHO lab Pierre Queloz

Lysimeter data:

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