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104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
Effects of Polluted Water Irrigation on Environment
and Health of People in Jamber, District Kasur,
Pakistan Muhammad Aqeel Ashraf
1, Mohd. Jamil Maah
1, Ismail Yusoff
2 , Karamat Mehmood
3
1Department of Chemistry University of Malaya, Kuala Lumpur 50603, Malaysia. 2Department of Geology, University of Malaya, Kuala Lumpur 50603, Malaysia.
3Department of Chemistry, The Islamia University of Bahawalpur 63100, Pakistan.
Corresponding Author; Email: [email protected]
Tel.: +6017 277 0972 Fax +603 7967 5149
Abstract-- A study was conducted in Jamber Khurd, a union
council of Tehsil Pattoki, district Kasur in Punjab province,
Pakistan, in order to determine the effects of using polluted
water for irrigation which disturbed the quality of ground
water and then its ultimate effects on the environment and
health of common man living in the area. Different water quality parameters were studied in ground water samples that
includes physico-chemical parameters (pH, temperature,
dissolved oxygen, conductivity, turbidity and total dissolved
solids), anions (carbonates, bicarbonates and chlorides),
cations (sodium, calcium and magnesium), biological parameters like total coliform (faecal coliform and e- coli),
heavy metals (manganese, nickel, chromium, lead, copper,
cobalt, iron and zinc), Sodium absorption ratio (SAR) and
residual sodium carbonate (RSC). The results were compared
with National Environment Quality Standards (NEQS). The results of the study show that, the use of polluted water
increases the value of conductivity, total dissolved solids,
sodium absorption ratio and residual sodium carbonate in
ground water and exceeds the acceptable limits of National
Environment Quality Standards. After detailed survey it was concluded that the use of polluted water not only degraded the
ground water quality but also have a severe health hazard on
the residents of the area. The concentration of heavy metals
was also found to be higher than acceptable range. Possible
recommendations were given, in order to protect the area from pollution degradation.
Index Term-- Ground water, pollution, health effects,
people, Pakistan.
I. INTRODUCTION
Polluted water consists of Industrial discharged effluents,
sewage water, and the rain water. The use of this type of
water is a common practice in agriculture. Estimation
indicates that more than fifty countries of the world with an
area of twenty million hectares area are treated with polluted
or partially treated polluted water [1]. In poor countries of
the world more than 80% polluted water have been used for
irrigation with only seventy to eighty percent food and
living security in industrial urban and semi urban areas[2].
Polluted water is complex water resource with both
advantageous and also disadvantageous. Generally the use
of polluted water for irrigation has an advantage of crop
production so benefits to farmers and the whole community
but also harmful for the people and whole ecosystem of the
concerned area. The main reason for the use of this polluted
water is the non availability of enough funding to treat
polluted water before using for irrigation purposes. As a
result it degrades the environment as well as a cause of
water borne diseases in the said area. All polluted water
contains plant nutrients and also organic matter other than
high concentration of soluble salts and heavy metals [3].
Farmers use polluted water to save their
expenses[4].Harmful effects can last for several years due to
extensive irrigation of polluted water so it can not only leach
down the soil but also has a negative effect on ground water
quality. In Pakistan more than eighty percent of the
population use ground water for drinking purpose. The
effects of water pollution are numerous. Some water
pollution effects are recognized immediately, whereas
others don’t show up for months or years. When toxins are
in the water, the toxins travel from the water the animals
drink to humans when the animals’ meat is eaten so the
pollutants enter the food chain. Infectious diseases such as
typhoid and cholera can be contracted from drinking
contaminated water. This is called microbial water
pollution. The human heart and kidneys can be adversely
affected if polluted water is consumed regularly. Other
health problems associated with polluted water are poor
blood circulation, skin lesions, vomiting, and damage to the
nervous system. In fact, the effects of water pollution are
said to be the leading cause of death for humans across the globe [5].
The irrigation system of Punjab Province, Pakistan is
accompanied by a network of drainage system. The drains
were originally constructed to counter the problem of water
logging and to collect the surplus water and flood water. But
in the present scenario due to increased population and
industrialization, the drains mainly carry the industrial and
municipal effluents that are ultimately carried to the canals
and rivers. The untreated industrial and municipal wastes
have created multiple environmental hazards for mankind
and have become a threat to the various useful uses
including irrigation, drinking and sustenance of aquatic life.
The drainage water contains heavy metals in addition to
biological contaminations. This water adds pollution to our
food chain in addition to groundwater contamination when
used to irrigate crops. These risks must be kept at a level acceptable to the community [6].
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II. DESCRIPTION OF STUDY AREA
Kasur is one of the oldest industrial cities of Pakistan. It is
located 55 kilometres away on southeast side of Lahore on
Indo-Pak border [7].More than five thousand hectares area
of Kasur was irrigated by polluted water mainly from River
Ravi. The study was conducted in Jamber Khurd Union
Council of Tehsil Pattoki district Kasur. Jamber Khurd is
located at (310
08’ 11.04‖ N, 730 55’ 7.68‖ E). National
Highway N5 (Multan-Lahore Road) is present on east while
Balloki Sulemanki (BS) Link canal also called Lower
Depalpur Canal is present on west of the town which
originates from River Ravi at Balloki headworks. According
to Population Census Organization of Pakistan (1998),
Jamber Khurd has a population thirteen thousands, with an
area of 1024 hectares being irrigated from River Ravi which
at present the most polluted river in Pakistan. The soil of the
study area is Late Pleistocene silty loess but the dating of
silty loess is 1-6 million annum [8]. The contents of soils are
mainly silt, loamy clay, clay and sand while, the loamy clay
increase gradually with distance form riverbed [9]. There
are significant changes in lithologies. Short absorb capacity
of ground; a large amount of water would naturally cause
runoff. The average annual rainfall in the area is about 650
mm, in which 65% occur during the southwest monsoon
(June to September) while the contribution from northeast
monsoon is nearly 20% and the rest is received during the
pre-monsoon period.
Fig. 1. Jamber Khurd Town, Kasur Pakistan
III. MATERIAL & METHODS
In order to determine the environmental impacts of polluted
water, a study was conducted to estimate the contamination
in groundwater after irrigation. Representative sampling is
probably most difficult in situations where reliable data are
needed most [10]. Chemists have struggled for decades with
the difficulties involved in obtaining representative
analytical results from bulk solid or natural water samples.
Scientists who have worked with environmental samples
fully appreciate these difficulties. To get truly representative
samples, site conceptual model was developed which is
based on underground water flow, contaminant fate and
transport [11] as shown in fig. 2.
Fig. 2. Jamber Town Sampling Conceptual Model
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Twenty sites were selected in the Jamber area for the
collection of ground water sample and Global Positioning
System (GPS) were used to confirm the final location of the
sampling point [12]. Samples were taken by making single
level boreholes which were drilled by cable tool percussion
method at a depth of 120-160 feet.
Fig. 1. Arial View with Sampling Stations of Jamber Khurd Town, Kasur Pakistan
Stainless steel bladder pumps were used at boreholes with
flow rate 1L/min due to extremely coarse-textured
formation. For sampling lowflow purging technique were
used [13].The passing of the sampling device through the
overlying casing water causes the mixing of stagnant waters
and the dynamic waters within the screened interval. There
is disturbance to suspended sediment collected in the bottom
of the casing and the displacement of water out into the
formation immediately adjacent to the well screen. These
situations make low flow purging technique with minimal
draw drown extremely useful [14].Structure of single level
piezometer borehole with stainless steel bladder pump is
shown in fig. 4.
Fig. 4. Single Level borehole with Bladder pump.
Water Depth is measured by Stevens Contact Meter. Total
200 ground water samples were taken from these locations.
For sampling 0.45 um in-line filter connected to bladder
pump is used and rinsed with 50 ml ground water prior to
sample collection. Filter has a net filtration area of 130 cm2.
The medium to be filtered only has contact with the
chemically inert Teflon. The rest of the apparatus consist of
stainless steel. Water samples were filtered and collected in
250 ml plastic bottles for anions analysis and cooled at 4 0C,
for cations and metal analysis water samples were collected
in 125ml plastic bottles, preserved with 4ml/ L HCl for
cations and 8ml/L HNO3 for metals analysis and preserved
at 4 0C followed by the EPA standards for water sampling
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and handling [15].Ground water sampling and well purging
data is represented in (Table I).
Well drilling/completion, purging, sampling and analysis
steps all contribute to error in ground-water monitoring
results. Therefore quality assurance procedures and quality
control checks were strictly followed and implemented
throughout the project in order to get accurate results. [16],
[17]. Blanks, standards, and spiked samples for field
QA/QC performance were used are analogous to the use of
laboratory blanks, standards, and procedural or validation
standards. The fundamental goal of field QC is to ensure
that the sampling protocol is being executed faithfully and
that situations leading to error are recognized before they
seriously impact the data. The use of field blanks and
standards and spiked samples can account for changes in
samples which occur after sample collection. Field blanks
and standards enable quantitative correction for bias (i.e.,
systematic errors) which arises due to handling, storage,
transport and laboratory procedures. Spiked samples and
blind controls provide the means to achieve combined
sampling and analytical accuracy or recoveries for the actual
conditions to which the samples have been exposed.
Following measures were taken for high level QA/QC
performance in the field;
Trip blank and temperature blank samples: Trip blanks
and temperature blank for cations, anions and metals were
filled and sealed in the same manner as actual samples for
cations, anions and metals analysis. Trip blanks consist of a
set of pre-filled 40-ml purge-and-trap vials and are to
accompany each cooler containing metals sample. These
sample vials travel with the actual sample vials to and from
the field in the cooler, to the well head, etc., so the blanks
were exposed to the same conditions as the actual samples.
The vials were not opened until analyzed in the laboratory
along with the actual samples they have accompanied.
Equipment blank samples: Equipment blanks are used to
determine the adequacy of the decontamination procedures
applied to reusable sampling equipment. Place pumps and
tubing that have been decontaminated were filled with clean
water, and also filled sample vials for the equipment blank
using the same lot of sampling container, sampling
equipment and the same sampling methods that are used to
collect the other sample. One equipment blank sample was
used each day, by each field sampling crew, for the reusable
sampling equipment.
Duplicate samples: One field duplicate sampling set was
collected for each sampling event. Duplicate samples were
collected by sequentially filling all containers as close
together in time as practical.
Physio-chemical parameters pH, temperature, conductivity,
dissolved oxygen, turbidity and total dissolved solids were
measured in situ by AquaSensors DataStick TM
multiparameter probe while total coliform (Faecal coliform,
E- coli) [18], anions (CO3
--
, HCO3
-
, Cl-
) [18], cations (Na+
,
Ca++
+ Mg++
) [18], heavy metals like Mn, Ni, Cr, Pb, Cu,
Co, Fe, Zn were measured in the laboratory by using AAS
Atomic Absorption Spectrophotometer (Perkin Elmer Mode
2380) and compared with NEQS standards [19]. AAS was
calibrated for each element using standard solution of
known concentration before sample injection [20].
Cations and Anions are determined only to calculate Sodium
Absorption Ratio (SAR) and Residual Sodium Carbonate
(RSC); which were calculated by the following equations ;
SAR = Na / {(Ca + Mg) / 2}1/2
RSC (me L-1
) = (CO3
--
+ HCO3
-
) – (Ca++
+ Mg++
)
Where the concentrations are expressed in milli equivalents
per liter (me L-1
) [21].
In the second phase of this project, a community survey was
conducted among 3,222 inhabitants in 6 hospitals, 11 health
care units and 755 houses of the study area from January
2008 to December 2008 in order to determine the health
effects of polluted water irrigation by doing interview of the
people of different ages and sex. The results of survey data
were compared with the data of same size population of
Changa Manga area, same Division (Kasur) but being
irrigated from normal irrigation water. Changa Manga is the
largest planted forest in the world. It is spread over an area
of 50 km2. Chang Manga is located in the Chunian District
70 km South of Lahore. It was initially planted during the
British era to provide timber for steam locomotives. Most of
the trees found here are Kikar and Mulberry. Presently, a
portion of the forest has been turned in to a park for
recreational purposes. Lots of people visit Changa Manga
every year. There are many activities to keep the visitors
interest alive. The main activity being a small rail ride
which takes the visitors on a 5 km ride through the forest.
IV. RESULTS & DISCUSSION
Ground Water Quality Analysis
The data of water quality obtained from study area was
analyzed statistically for mean, standard deviation and
percentage following the standard procedure [22]. Data in
(Table II) represents the quality criteria for irrigation water
in terms of suitable, marginal and unsuitable irrigation water
quality which have been developed by U.S. salinity staff for
irrigation and drainage [23]. Data in Table (III, IV) shows
range, mean and standard deviation with quality criteria of
total two hundred samples analyzed from each location. pH
of water samples ranged from 8.4-9.1 with 80 (35%)
samples out of 200 are fit, 108 (47%) marginally fit and 12
(18%) are unfit, temperature ranged from 22-26 0C with 134
(67%) samples out of 200 are fit, 62 (31%) marginally fit
and 4 (2%) are unfit while dissolved oxygen ranged from 5-
8 mg/L with 98 (49%) samples out of 200 are fit, 74 (37%)
marginally fit and 28 (14%) are unfit. Overall these
parameters are within the permissible limits set by National
Environment Quality NEQS for irrigation water quality. The
other water quality parameters such as conductivity,
turbidity, TDS, RSC, SAR, chlorides, FC and E.coli of
water samples does not follow the criteria set by NEQS for
irrigation. So by comparing results of (Table III) with (Table
IV), it was again found that different parameters exceeding
the water quality limits for irrigation. Similar kinds of
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results have also been reported by different researchers.
[24], [25]. Irrigation water contains a mixture of naturally
occurring salts. The extent to which the salts accumulate in
the soil will depend upon the irrigation water quality,
irrigation management and the adequacy of drainage.
Salinity control becomes more difficult as water quality
becomes poorer. As water salinity increases greater care
must be taken to leach salts out of the root zone before their
accumulation reaches at concentration which might affect
yield [26]. Conductivity ranged from 3500-4970 μS cm-1
with 24 samples (12%) out of 200 are fit, 38 (19%)
marginally fit and 138 (69%) are unfit. Turbidity ranged
from 25-100 NTU
with 56 samples (28%) out of 200 are fit,
49 (24.5%) marginally fit and 95 (47.5%) are unfit. TDS
ranged from 3000-5000 mg/L
with 12 samples (6%) out of
200 are fit, 19 (9.5%) marginally fit and 169 (84.5%) are
unfit. SAR represents the relative proportion of Na to Ca +
Mg. The SAR of water samples ranged from 0.1 to 33.5
with mean of 18.69 and standard deviation of 12.44 (Table
3). Considering relative frequency dis tribution regarding
SAR (Table 5), 76 samples (38%) were fit, 21 samples
(10.5%) were marginally fit and remaining 103 samples
(51.5%) were unfit. Sodium adsorption is stimulated when
Na proportion increases as compared to Ca + Mg resulting
in soil dispersion [27]. At high levels of sodium relative to
divalent cations in the soil solution, clay minerals in soils
tend to swell and disperse and aggregates tend to slake,
especially under conditions of low total salt concentration
and high pH. As a result, the permeability of the soil is
reduced and the surface becomes more crusted and
compacted under such conditions. Soil’s ability to transmit
water is severely reduced by excessive sodicity [26]. The
irrigation water containing excess of CO3
and HCO3
will
precipitate calcium and hence sodium will increase in soil
solution. It leads to saturation of clay complex with sodium
and consequently decreased infiltration rate. The RSC
values of water samples ranged from 0-21.4 me L-1
with
mean of 6.51 me L-1
and standard deviation of 4.82 (Table
3). Forty three samples (21.5 %) out of 200 were fit, 56
samples (28 %) were marginally fit and remaining 101
samples (50.5 %) were unfit (Table IV). Data in (Table III,
IV) also indicates high percentage of total coli-form that is
faecal Coli-form and E.Coli then the acceptable limits
according to NEQS.
The fitness of water of different sites depends upon the
average condition of soil texture, quantity of irrigation water
applied, soil drainage, infiltration rate etc along with other
variables like climate and tolerance of crop to salts. It was
observed that most of the water samples were unfit due to
high RSC. Farmers can use high RSC water for growing
crops after gypsum amendment. Gypsum requirement can
be calculated by following formula:
Gypsum requirement (kg) = RSC (me L-1
) × discharge
(cusec) × working hours × 8.8
Water quality also depends upon texture of the soil.
Irrigation water unfit for fine textured soils might not be so
for coarse textured soils (Table III). Farmers can use
marginal and unfit water for salt tolerant crops like wheat,
sorghum etc as these crops have physiology for moderating
the ill effects of salts. An integrated, holistic approach is
needed to conserve water and prevent soil salinization and
water logging while protecting the environment and
ecology. Firstly, source control through the implementation
of more efficient irrigation systems and practices should be
undertaken to minimize water application and reduce deep
percolation. Conjunctive use of saline groundwater and
surface water should also be undertaken to aid in lowering
water table elevations, hence to reduce the need for drainage
and its disposal, and to conserve water [26].
Efficiency of irrigation must be increased by the adoption of
appropriate management strategies, systems and practices
and through education and training. There is usually no
single way to achieve salinity control in irrigated lands and
associated waters. Many different approaches and practices
can be combined into satisfactory control systems. The
appropriate combination depends upon economic, climatic
and social as well as hydro-geologic situations [26].
(Table III) represents the maximum concentration of Fe
which has 58% of the total metal concentration while the
concentration of Mn, Zn, Cu, Cr and Co are higher than the
permissible level of NEQS but the concentration of Ni and
Pb is in the acceptable range. These species may react with
the other and the equilibrium of system may alter and may
enter the food chain due to the changing in redox
equilibrium. The presence of other trace metals is not out of
question. So The Balloki and Sulemanki head works, water
distributor to Jamber area may have heavy pollution of other
metals which are need to be determined. The odour and
color of irrigation channels especially at Head Balloki,
Sulemanki may be due to the presence of some toxic species
and microbial activities, which also need to be analyzed.
Industrial effluents and municipal wastes discharging into
irrigation channels may be monitored exclusively.
Health Effects on Common Man
To analyze the effects of polluted water on health of
common man, people were interviewed for 12 months. Total
3222 inhabitants were interviewed according to their age
and sex. The same population were interviewed in Changa
Manga Town in the same district Kasur, being irrigated with
fresh water, largest man made forest in the world and a
picnic spot. (Table VI, Graph 1) shows that in Jamber
Town, out of 3222 inhabitants being interviewed, 2351
were effected by different kind of diseases which shows that
76.07% of the population is effected and only 23.93% is
normal (Graph 2). Most of the persons being investigated
were affected by nail problem, skin problem and fever. In
Changa Manga, out of 3222 inhabitants being interviewed,
only 1289 were effected diseases (Table VII, Graph 1)
which are 40.0% of the total population investigated while
60.0% were normal (Graph 3). So it can observe that the
ratio of infection in Jamber Town is two times higher then
in Changa Manga. It was also found that most of the persons
being investigated were affected by nail problem, skin
problem, diarrhoea and fever. (Table VIII) shows that in
Jamber, female population (55.12%) is more effected with
diseases then male population (44.87%) while in Changa
Manga rate of infection is equal in male (50.65%) and
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female (49.34%). Furthermore in Jamber population with
age (1-10, 61 and above) are mostly infected by diseases
while in Changa Manga, no such pattern was observed. This
study shows that the percentage of the mentioned diseases is
higher in Jamber Khurd area where underground water is
polluted due to polluted water irrigation as compared to
Changa Manga, with fresh water for irrigation. The study
indicates that people are more susceptible to stomach and
digestive system diseases like skin problem, nail problem,
diarrhoea, diarrhoea with fever and dysentery etc. which is
the direct effect of polluted water used for drinking and for
irrigation purposes. The present study also indicates the
percentage of getting ill for a family in one year is also
greater in this area as compared to other areas. An
immediate action should be taken to save the community as
well as the future generation.
V. CONCLUSION & RECOMMENDATIONS
The analytical data indicate that all sampling stations are fit
with respect to irrigation parameters (pH, temperature and
DO) while parameters (conductivity, turbidity, TDS, SAR,
RSC, FC and E.Coli) exceeds NEQS limits for irrigation.
The trace metal Ni and Pb reflects low while Fe, Mn, Zn,
Cu, Cr and Co reflects their higher concentration in the
system under the present scenario. The main reason for the
water pollution is the discharge of untreated industrial
effluents directly into the water reservoirs that results in a
high level of pollution in the surface water of reservoirs and
also in ground water. This poor quality water causes health
hazard and death of human being, aquatic life and also
disturbs the production of different crops. The main reasons
for this problem are lack of funding, lack of water treatment
plants and lack of awareness. From the present study it can
be concluded that the results are somewhat in range of
NEQS standards but if preventive measures could not be
taken then toxic level of harmful material can mix up with
the ground water and can cause serious damage to our whole
environment. There is no easy way to solve water pollution;
if there were, it wouldn’t be so much of a problem. Broadly
speaking, there are three different things that can help to
tackle the problem—education, laws, and economics—and
they work together as a team.
By applying following preventive measures, can reduce the
risk of ground water contamination in Pakistan.
1- Water Quality Standards such as NEQS should be
applied strictly to big industrial units draining huge
amount of wastewater effluents into drains that
ultimately reaches to rivers .
2- Strict actions leading to shutdown of unit should be
taken by the Environment Department in Pakistan
against the industrial units that are directly draining
their waste water effluents without proper treatment
into the drains and rivers.
3- Proper drainage system should be constructed in
order to reduce the risk of leakage and overflow
and also to avoid the addition of waste material into
the drains.
4- Post harvest contamination might occur during
transport or at markets. This is due to poor
sanitation facilities and lack of water supply for
personal hygiene as well as washing and
―refreshing‖ of vegetables. Efforts should be taken
to improve cleanliness in markets , washing
vegetables before selling, Displaying vegetables on
tables instead of the ground can largely reduce the
risk of pathogens. Market Committees in Pakistan
can play a vital role in this regard.
5- Concerning departments in Pakistan can make sure
that leafy vegetables are not growing in areas that
are directly irrigated by wastewater. If restriction
cannot be enforced, public awareness campaigns
should be launched to educate people about the
health risks involved.
6- Contamination risks can also be avoided by ceasing
irrigation 3-4 days before harvesting, if the crop is
less sensitive to water loss. It can allow the
pathogens to die-off.
ACKNOWLEDGMENT
The work reported in this paper was carried out in
Analytical Laboratory, Department of Chemistry, The
Islamia University of Bahawalpur, Pakistan. I take this
opportunity to express my gratitude to Prof. Dr. Karamat
Mehmood and Mr. Abdul Wajid for facilitating me to carry
out my work in Pakistan. Thanks also go the IPPP Unit,
University of Malaya for providing me enough funding to
complete this work abroad.
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Pers., vol. 107, no. 7, pp. 553-561. 1999. [25] M. Rashid, S.R. Awad and M.A. Salam, ―Monitoring of
groundwater in Gabal el Asfar waste water irrigated area
(Greater Cairo),‖ W. Sc. & Tech., vol. 32, no. 11, pp. 163-169. 1995.
[26] FAO The use of saline waters for crop production, Irrigation and drainage paper 48. FAO, Rome, 1992.
[27] W.W. Emerson and A.C. Bakker, ―The comparative effects of exchangeable calcium, magnesium and sodium on some physical properties of red-brown earth subsoils,‖ Aus. J. S. Res. vol. 11, pp. 151–157, 1973.
[28] Wapda Soil salinity Survey, Soil Salinity and Watertable Survey Directorate, Planning Division, Lahore, Pakistan, vol. 1, 1981.
[29] D.M. Malik, M.A. Khan and T .A. Chaudhry, ―Analysis method for soil, plant and water,‖ Soil Fertility Survey and Soil Testing
Institute, Punjab, Lahore, Pakistan, 1984. [30] S. Muhammad, ―Soil salinity, sodicity and water logging‖- In:
Soil Science. National Book Foundation Islamabad, Pakistan,
pp. 472-506, 1996. [31] WWF National Surface Water Classification Criteria and
Irrigation Water Quality Guidelines for Pakistan, WWF- Pakistan, Ferozepur Road, Lahore- 54600, Pakistan, 2007.
AUTHO R(S) BIO SKETCHES
Muhammad Aqeel Ashraf, M.Phil, PhD. Candidate, Department of
Chemistry, University of Malaya, Kuala Lumpur, Malaysia. Email: [email protected]
Mohd. Jamil Maah, PhD. Full Professor, Department of Chemistry and is currently serving as Deputy Vice Chancellor (Research & Innovation) in
University of Malaya, Kuala Lumpur, Malaysia. Email: [email protected]
Ismail Yusoff, PhD., Associate Professor, Department of Geology, University of Malaya, Kuala Lumpur, Malaysia. Email:
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 39
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE I WELL CASING & PURGING SPECIFICATIONS AT JAMBER T OWN
Sampling
Station
Date Location Well
Diameter
Depth to
Water
(ft)
Non Pumping
Water Level
Static (ft)
Well Volume
(ft3)
Casing
Material
Well Depth
BTOC* (ft)
Pump
set at
TOC (ft)
Type of
Pump
Water
Level
Pumping
(ft) moving
Purging
(Pump)
Rate
(L/Min)
Total
Volume
Purged gall
S1 11/4/2007
310 08’
32.65‖ N
730 54’ 55.92‖ E 6 Inch 124 40 19.62 Stainless Steel 4 2 Bladder
Pump 12 1L/Min 340
S2 17/4/20
07
310 08’
28.06‖ N
730 55’ 09.32‖ E
6 Inch 132 44 19.85 Stainless Steel 5 2 Bladder
Pump
10 1L/Min 318
S3 24/4/20
07
310 08’
26.89‖ N
730 54’ 50.61‖ E
6 Inch 128 52 23.14 Stainless Steel 3 2 Bladder
Pump
14 1L/Min 354
S4 29/4/2007
310 08’
21.81‖ N
730 54’ 39.15‖ E
6 Inch 138 58 23.88 Stainless Steel 6 2 Bladder Pump
13 1L/Min 311
S5 03/5/2007
310 08’
17.47‖ N
730 54’ 25.85‖ E
6 Inch 121 41 19.60 Stainless Steel 8 2 Bladder Pump
9 1L/Min 344
S6 09/5/2007
310 08’
09.93‖ N
730 54’ 26.37‖ E
6 Inch 142 43 19.64 Stainless Steel 3 2 Bladder Pump
11 1L/Min 326
S7 14/5/20
07
310 08’
13.18‖ N
730 54’ 33.68‖ E
6 Inch 148 51 23.12 Stainless Steel 4 2 Bladder
Pump
10 1L/Min 313
S8 18/5/20
07
310 08’
17.05‖ N
730 54’ 42.45‖ E
6 Inch 136 43 19.81 Stainless Steel 5 2 Bladder
Pump
12 1L/Min 328
S9 23/5/2007
310 08’
20.54‖ N
730 54’ 52.91‖ E
6 Inch 158 48 19.94 Stainless Steel 6 2 Bladder Pump
14 1L/Min 309
S10 28/5/2007
310 08’
19.96‖ N
730 55’ 08.33‖ E
6 Inch 152 52 23.18 Stainless Steel 5 2 Bladder Pump
13 1L/Min 351
S11 03/6/2007
310 08’
16.39‖ N
730 55’ 16.26‖ E
6 Inch 146 50 23.44 Stainless Steel 7 2 Bladder Pump
13 1L/Min 345
S12 09/6/20
07
310 08’ 15.02‖ N
730 55’ 07.72‖ E
6 Inch 132 41 21.56 Stainless Steel 6 2 Bladder
Pump
12 1L/Min 329
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 40
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
S13 13/6/2007
310 08’
13.53‖ N
730 54’ 55.48‖ E
6 Inch 138 48 21.78 Stainless Steel 8 2 Bladder Pump
11 1L/Min 348
S14 18/6/2007
310 08’
19.39‖ N
730 54’ 44.94‖ E
6 Inch 160 43 19.95 Stainless Steel 7 2 Bladder Pump
15 1L/Min 319
S15 23/6/2007
310 07’
59.63‖ N
730 54’ 26.78‖ E
6 Inch 140 52 23.76 Stainless Steel 3 2 Bladder Pump
10 1L/Min 328
S16 29/6/20
07
310 08’
1.44‖ N
730 54’ 42.32‖ E
6 Inch 124 48 22.67 Stainless Steel 5 2 Bladder
Pump
11 1L/Min 324
S17 04/7/20
07
310 08’
3.37‖ N
730 54’ 54.25‖ E
6 Inch 128 45 20.12 Stainless Steel 8 2 Bladder
Pump
14 1L/Min 337
S18 10/7/2007
310 08’
08.93‖ N
730 55’ 07.78‖ E
6 Inch 144 49 20.87 Stainless Steel 4 2 Bladder Pump
12 1L/Min 344
S19 14/7/2007
310 08’
02.26‖ N
730 55’ 07.94‖ E
6 Inch 152 42 19.76 Stainless Steel 6 2 Bladder Pump
10 1L/Min 317
S20 18/7/2007
310 07’
46.76‖ N
730 55’ 5.86‖ E
6 Inch 139 47 20.61 Stainless Steel 5 2 Bladder Pump
11 1L/Min 321
BTOC*
below top of casing
TOC*
top of casing
Specifications
Nominal Stainless steel, type schedule 40, fine thread, casing diameter 2 inch, Wt lbs/ft 1.732.
Pump dials cycles/min.
Stabilization Criteria DO +/- 0.3 mg/L Turbidity +/-10%
EC +/- 3% pH +/- 0.1 Units
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 41
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE II IRRIGATION WATER QUALITY CRITERIA
Serial No. Parameter Status Richards, L. A. (1954)
[28]
WAPDA (1981)
[29]
Malik et al. (1984)
[30]
Muhammad (1996)
[31]
1 pH Suitable 6.0-7.5 6.0-7.5 6.5-7.5 6.5-7.5
Marginal 5.5-8.00 6.0-8.00 6.0-8.00 6.0-8.00
Unsuitable Above or Below Above or Below Above or Below Above or Below
2 Temperature 0C
Suitable 22-26
24-26 24-26 24-26
Marginal 15-28 15-30 15-30 15-30
Unsuitable Above or Below Above or Below Above or Below Above or Below
3 DO mg/L Suitable 7.0-8.0 7.5-8.5 7.0-8.5 7.5-8.5
Marginal 5.0-8.5 5.0-8.50 5.0-8.5 5.0-8.0
Unsuitable <5.0 <5.0 <5.5 <5.5
4 Conductivity µS/cm Suitable 750 <1500 <1500 <1000
Marginal 751-2250 1500-3000 1500-2700 1001-1250
Unsuitable >2250 >3000 >2700 >1250
5 Turbidity NTU Suitable 10-15 5-15 5-10 5-15
Marginal 5-25 5-50 5-30 5-30
Unsuitable >25 >50 >30 >30
6 Total dissolved solids
mg/L
Suitable 500 1,000 1,000 1,000
Marginal 500-1,000 1,000-2,000 1,000-1,500 1,000-1,500
Unsuitable >1,000 >2,000 >1,500 >1,500
7 RSC me L-1
Suitable <1.25 <2.5 <2.0 <1.25
Marginal 1.25-2.50 2.5-5.0 2.0-4.0 1.25-2.50
Unsuitable >2.50 <5.0 >4.0 >2.50
8 SAR Suitable <10 <10 <7.5 <6.0
Marginal 10-18 10-18 7.5-15 6.0-10.0
Unsuitable >18 >18 >15 >10.0
9 Cl me L-1
Suitable <4.5 - 0-3.9 -
Marginal - - - -
Unsuitable >4.5 - >3.9 -
10 Faecal Coliform
FC/100ml
Suitable <150 <100 <50 <50
Marginal 150-250 100-200 50-200 50-200
Unsuitable >250 >200 >200 >200
11 E.Coli EC/100ml Suitable <150 <100 <50 <50
Marginal 150-250 100-200 50-200 50-200
Unsuitable >250 >200 >200 >200
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 42
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE III RANGE, MEAN AND STANDARD DEVIATION (S.D.) OF IRRIGATION QUALITY PARAMETERS WITH NEQS
Serial No. Parameter Experimental Results
(Range)
Mean Standard Deviation NEQS
1 pH 8.4-9.1 8.73 0.24 6-10
2 Temperature 22-26 24 0.42 20-26
3 Dissolved Oxygen (DO) mg/L 5-8 6 1.46 6-8
4 Conductivity µS/cm 3,500-4970 4,600 677.43 1,500
5 Turbidity NTU 25-100 78 78.67 25-50
6 Total dissolved solids mg/L 3000-5000 3498 562.34 1000
7 RSC me L-1
0-21.4 6.51 4.82 2.5
8 SAR (mmol/L)0.5
0.1-33.5 18.69 12.44 10.0
9 Cl me L-1
0.1-6.8 3.28 3.32 2.5
10 Faecal Coliform mg/L 1.0-1.5 1.2 0.0056 0.5
11 E.Coli mg/L 1.2-2.0 1.6 0.0042 0.5
12 Fe mg/L 4.10-5.0 4.34 0.77 5.0
13 Mn mg/L 1.10-1.15 1.12 1.23 0.12
14 Ni mg/L 0.19-0.24 0.20 1.26 0.20
15 Cu mg/L 1.56-1.80 1.62 2.56 1.0
16 Cr mg/L 0.09-1.50 1.16 23.24 1.0
17 Pb mg/L 0.36-0.55 0.47 25.10 0.50
18 Co mg/L 0.17-0.22 0.20 45.10 0.05
19 Zn mg/L 1.84-2.0 1.86 1.28 0.77
T ABLE IV
CONDITIONS OF WATER USE AND IRRIGATION WATER QUALITY PARAMETERS
Condition of Use Conductivity µS/cm SAR RSC me L-1
Coarse Textured Soil 3000 10 2.50
Medium Textured Soil 2300 08 2.30
Fine Textured Soil 1500 08 1.25 Irrigation water quality guidelines for Pakistan, proposed by WWF (2007) [32]
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 43
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE V RELATIVE FREQUENCY DISTRIBUTION OF GROUND WATER CHARACTERISTICS IN JAMBER T OWN, DISTRICT KASUR
Serial No. Parameter Class Interval Relative Frequency Distribution Status
No. of Samples Percentage %
1 pH 6.5-7.5 80 35 Fit
6.0-8.00 108 47 Marginally Fit
8.1-10.0 12 18 Unfit
2 Temperature 0C 24-26 134 67 Fit
15-30 62 31 Marginally Fit
31-50 4 2 Unfit
3 DO 7.5-8.5 98 49 Fit
5.0-8.0 74 37 Marginally Fit
8.1-10.0 28 14 Unfit
4 Conductivity µS/cm 750-1000 24 12 Fit
1001-1250 38 19 Marginally Fit
1251-1500 138 69 Unfit
5 Turbidity 1-15 56 28 Fit
16-30 49 24.5 Marginally Fit
31-45 95 47.5 Unfit
6 Total dissolved
solids
500-1,000 12 6 Fit
1,001-1,500 19 9.5 Marginally Fit
1,501-2000 169 84.5 Unfit
7 RSC me L-1
0.1-1.25 43 21.5 Fit
1.25-2.50 56 28 Marginally Fit
2.50-5.00 101 50.5 Unfit
8 SAR (mmol/L)0.5
2.0-6.0 76 38 Fit
6.0-10.0 21 10.5 Marginally Fit
10.1-14.0 103 51.5 Unfit
9 Cl me L-1
3.3-3.9 18 9 Fit
3.9-4.5 63 31.5 Marginally Fit
4.6-5.1 119 59.5 Unfit
10 Faecal Coliform .001-50 61 30.5 Fit
50-200 37 18.5 Marginally Fit
200-350 102 51 Unfit
11 E.Coli .001-50 71 35.5 Fit
50-200 87 43.5 Marginally Fit
200-350 42 21 Unfit
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 44
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
12 Fe mg/L
4.0-5.0 72 36 Fit
5.1-6.0 52 26 Marginally Fit
6.1-7.0 76 38 Unfit
13 Mn mg/L
0.05-0.10 38 19 Fit
0.11-0.15 26 13 Marginally Fit
0.16-0.20 136 68 Unfit
14 Ni mg/L 0.10-0.15 82 41 Fit
0.16-0.20 68 34 Marginally Fit
0.21-0.25 50 25 Unfit
15 Cu mg/L 0.01-0.10 33 16.5 Fit
0.11-1.0 57 28.5 Marginally Fit
1.0-1.1 110 55 Unfit
16 Cr mg/L
0.005-0.10 32 16 Fit
0.11-1.0 61 30.5 Marginally Fit
1.1-1.5 107 53.5 Unfit
17 Pb mg/L
0.10-0.35 91 45.5 Fit
0.36-0.70 73 36.5 Marginally Fit
0.71-1.05 36 18 Unfit
18 Co mg/L 0.01-0.03 29 14.5 Fit
0.031-0.05 43 21.5 Marginally Fit
0.051-0.70 128 64 Unfit
19 Zn mg/L 0.10-0.50 59 29.5 Fit
0.51-1.0 33 16.5 Marginally Fit
1.1-1.5 108 54 Unfit
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 45
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE VI AFFECTED INHABITANTS ACCORDING TO AGE IN JAMBER T OWN
Age
Diseases
Cold/Pneumonia Typhoid Fever Nail Problem Dysentery Skin Problem Diarrhoea with fever Diarrhoea
15-19 51 38 56 70 48 64 32 30
20-24 40 41 50 68 44 58 38 28
25-34 29 32 41 59 33 49 34 29
35-44 24 29 38 49 29 47 31 25
45-54 35 33 46 56 32 52 36 24
55-64 39 35 49 62 36 56 33 26
65 and above 43 40 52 65 41 60 37 29
Total 261 248 332 429 263 386 241 191
Total Inhabitants 3222
Effected by Diseases 2351 Effected Percentage 76.07%
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 46
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE VII AFFECTED INHABITANTS ACCORDING TO AGE IN CHANGA MANGA T OWN
Age
Diseases
Cold/Pneumonia Typhoid Fever Nail Problem Dysentery Skin Problem Diarrhoea with fever Diarrhoea
15-19 27 14 18 19 32 35 20 30
20-24 26 22 28 21 16 14 31 20
25-34 28 23 31 26 21 32 34 16
35-44 25 24 42 25 14 18 12 25
45-54 23 19 34 20 32 22 10 24
55-64 27 20 22 23 12 17 33 14
65 and above 26 17 16 17 41 10 18 23
Total 182 139 191 151 168 148 158 152
Total Inhabitants 3222
Effected by Diseases 1289 Effected Percentage 40.00%
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 47
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
T ABLE VIII COMPARISON OF INHABITANTS IN BOTH T OWNS ACCORDING TO AGE & SEX
Age Total Affected Persons in
Jamber Male Female Total Affected Persons in Changa
Manga Male Female
15-19 389 177 212 195 102 93
20-24 367 199 168 178 98 80
25-34 306 118 188 211 94 117
35-44 272 130 142 185 104 81
45-54 314 126 188 184 90 94
55-64 336 156 180 168 91 77
65 and above 367 149 218 168 74 94
Total 2351 1055 1296 1289 653 636
Percentage 44.87% 55.12% Percentage 50.65% 49.34%
Graph. 1. Comparison of Population Affected by Different Diseases in Both Towns
Disease Vs Inhibitants n=3222
261 248
332
429
263
386
241
191182
139
191
151168
148 158 152
0
50
100
150
200
250
300
350
400
450
500
Cold/P
eneumonia
Typhoid
Fever
Nail Pro
blem
Dysentry
Skin Pro
blem
Diarrh
ae with
fever
Diarrh
ae
Disease
Inh
ibta
nts
Jamber
Changa Manga
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:03 48
104703-4949 IJBAS-IJENS © June 2010 IJENS I J E N S
Graph. 2. Jamber Population Affected by Diseases
Graph. 3. Changa Manga Population Affected by Disease
Jamber Population Affected by Diseases
n=3222
Not
Affected,
23.93%
Affected,
76.07%
Changa Manga Population Affected by Diseases
n=32222
Affected,
40.0%
Not
Affected,
60.0%