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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 156
FORECASTING OF GROUNDWATER QUALITY IN AND AROUND
BELLANDUR LAKE BY VISUAL MODFLOW FLEX
Navyashree. A. N
1
, Dr B Santhaveerana Goud
2
, Anusha.G3
1
PG Student, Department of Civil Engineering, University Visvesvaraya College of Engineering, Karnataka, India.
2
Professor of Civil Engineering, Department of Civil Engineering, UVCE, Bangalore University, Bengaluru,
Karnataka, India.
3Research Scholars, Department of Civil Engineering, UVCE, Bangalore University, Bengaluru, Karnataka, India.
---------------------------------------------------------------------***--------------------------------------------------------
Abstract - Bangalore city originally met its water demand
from the lakes and rivers. The lakes and rivers that were
once a source of water for irrigation, drinking, fishing is
now used as dumping sites for domestic sewage, domestic
solid waste. (Ankesh S. B et al., 2018). The lakes of the city
are facing extinction due to pollution. Groundwater
contamination is nearly always the result of human
activity. Human activities like indiscriminate disposal of
untreated industrial effluents and sewage wastes, dumping
of solid waste, dumping of construction and demolition
wastes into water bodies leads to groundwater
contamination. One of such lake which is affected by these
human activities is Bellandur lake.
Key Words: status of water quality, Bangalore, Bellandur
lake.
1. INTRODUCTION
Groundwater is a critical resource for people, economies,
and the environment. The increase in population increases
the demand and thus the exploitation (Smith et al. 2016).
Globally 70 percentage of surface and sub-surface water is
used for irrigation India is the largest user of groundwater
in the world followed by China and USA. Many regions in
India experiencing declining water tables due to over
exploitation and ill-management of the resources. According
to the recent studies shows that 26% of the area of
Karnataka State is under over exploited category. Due to
this there is need to understand the processes by which
uncontaminated groundwater is made available.
2. OBJECTIVES
The objective of this dissertation work is as follows:
A. To assess the impact of total dissolved solids (TDS)
concentration on the groundwater system of Bellandur
lake with the help of Visual MODFLOW Flex Software.
B. To predict the future groundwater TDS
concentration in the study area from the year 2019
to 2030 using MT3DMS for the following scenarios:
1. If the present scenario of lake pollution without
proper control measures continues for next 10
years, what will be the impact on the
groundwater quality by the end of 2030
2. If industries meet TDS discharge of 2100 mg/l
(IS-10500,2012) and no sewage discharge into
the lake for next 10 years, what will be the
impact on the groundwater quality by the end of
2030.
3. If the remedial measures such as STP with
Integrated constructed wastelands and algae
ponds to remove the nutrients meet TDS
discharge of 500 mg/l (IS-10500,2012) for the
next 10 years, what will be impact in the
groundwater quality by the end of 2030.
To suggest remedial measures to improve the future
groundwater quality of the study area.
3. Materials and Methodology
Study Area
Location of the study area: Bellandur Lake in
Bangalore city spreads across an area of 892 acres. It is
located at latitude of 12°58ʹ N and longitude of 77°35ʹ E
at an altitude of 921 m above mean sea level. The water
storing capacity of Bellandur lake is 17.66 million cubic
feet. It is located about 20 km from the city towards the
south-east of Bangalore city which is extremely
important ecological zone. Water further flows to the
Varthur lake, eventually into the Pinakini River basin.
The tank remains full throughout the year since it
receives sewage water of about 500 MLD from Bangalore
city (Ramesh N et al. 2014).
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 157
Figure 1: Location of the Bellandur lake.
Bellandur lake is highly polluted with sewage and in May
2015 the foam covering the water surface caught fire and
burned for hours making international headlines. The lake
has since caught fire multiple times including in January
2018, and March 2021 but in 1970s people from as many as
18 villages depended on the waters of Bellandur tank to lead
their lives.
There are some issues regarding with Bellandur lake
because of entry of untreated sewage into the lake through
various inlets. Stormwater drains was designed for flow of
clean rainwater from Koramangala and Challaghatta (K&C)
Valley to Bellandur lake. However, the lake gets sewage
inflow due to these reasons.
1) Improper sewage system due to which untreated
sewage overflows and joins storm water drains,
mixes with rain water, which in turn flows to
Bellandur lake.
2) Lack of effluent treatment plants to treat industrial
wastes from small factories which also get into the
storm water drains
(https://bengaluru.citizenmatters.in/all-you-need-
to-know-about-bellandur-lake-and-its-problems)
Figure 3: Representation of four main inlets from where
sewage enters Bellandur lake. (Pic Source: BWSSB).
4.Methodology
Figure 4: Flow chart of modelling in the schematic block
diagram (N.Mondal ,2019)
5. Data analysis and interpretation
Modflow Model input
Preparation of Base Map Base map of the study area
was taken from google earth pro. It was converted into
.SHP format with the help of ArcGIS.
Figure 2: Location of the study area.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 158
Figure 5: Model Screen with study boundary, lakeboundary
and inactive cells
Assigning Layer Elevations (Above Mean SeaLevel): Here
three layers were considered throughout the study area.
Top erosional ground level (GD) layer, shallow weathering
layer as layer-1 and the bottom layer was named as layer-2.
The top layer is shallow weathered zone of thickness 25 m
and the bottom layer is deeper fractured rock with
thickness of 225 meters. By using Google Earth Pro, the
elevation data for all layers were obtained. It was entered to
the model using the surfer grid file in. GRD format.
 ASSIGNING LAYER PROPERTIES
Visual MODFLOW allows to input field observations for
head, concentration and relate these observations to model
output values.
Figure 6: Observation well data being assigned to the model
MODEL RUN- After completing the input parameters, run
model isselected from the screen. By selecting [Run] in the
Main Menu, Select Run Type dialogue box appears, the
modelwas run.
6.MODEL OUTPUT
Modflow output provides graphs of calculated vs observed
heads and velocity vectors.
 CHART SHOWING CALCULATED VS OBSERVED
HEADS FOR 440 DAYS
The calibrated chart for the 440th day showed good
match between the observed head in the field versus the
model calculated head values. The standard error of
estimation was 1.52 m and the root mean squared value
was 2.74 m which implies the error of less than 5%.
Figure 7: Calculated Vs Observed groundwater level
(above MSL) for the 440 days
 CHART SHOWING CALCULATED VS OBSERVED
HEADS FOR 880 DAYS
The calibrated chart for the 880th day showed good
match between the observed head in the field versus the
model calculated head values. The standard error of
estimation was 1.08 m and the root mean squared value
was 2.74 m which implies the error of less than 5%.
Figure-8: Calculated Vs Observed groundwater level
(above MSL) for day 880th day
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 159
 CHART SHOWING CALCULATED VS OBSERVED HEADS
FOR 1766 DAYS
The calibrated chart for the 1766th day showed good match
between the observed head in the field versus the model
calculated head values. The standard error of estimation
was 1.58 m and the root mean squared value was 2.74 m
which implies the error of less than 5%
Figure 9: Calculated Vs Observed groundwater level (above
MSL) for the 1766days
7.Modpath Input
Particles are assigned on the boundary of the study area
covering source of pollution
Modpath Output
The output from the MODPATH includes the particle path-
line direction of the groundwater which was towards the
northeast direction of the study area.
8.MT3DMS OUTPUT
MT3DMS output provides calculated versus observed TDS
concentration graph.
The Calibration of the model is done by adjusting the
dispersion values by trial-and-error method.
 CHART SHOWING CALCULATED VS OBSERVED
CONCENTRATIONS FOR 440 DAYS
The calibrated chart for the 440th day showed good match
between the TDS concentration that was observed in the
field versus the model calculated TDS concentration values.
The standard error of estimation was 0.91 mg/L and the
root mean squared value was 3.93 mg/L which implies the
error of less than 5%
Figure 10: Calculated Vs Observed Groundwater
Concentration (mg/L) for the 440 days.
 CHART SHOWING CALCULATED VS OBSERVED
CONCENTRATIONS FOR 880 DAYS
The calibrated chart for the 880th day showed good
match between the TDS concentration that was observed
in the field versus the model calculated TDS
concentration values. The standard error of estimation
was 0.85 mg/L and the root mean squared value was
2.39 mg/L which implies the error of less than 5%.
Figure-11: Calculated Vs Observed Groundwater
Concentration (mg/L) for 880 days.
 CHART SHOWING CALCULATED VS OBSERVED
CONCENTRATIONS FOR 1080 DAYS
The calibrated chart for the 1080th day showed good
match between the TDS concentration that was observed
in the field versus the model calculated TDS
concentration values. The standard error of estimation
was 0.91 mg/L and the root mean squared value was
3.93 mg/L which implies the error of less than 5%
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 160
0
200
400
600
800
1000
1200
2010 2020 2030 2040
TDS
concentration
in
mg/L
Time in years
Scenario 1
Scenario 2
Scenario 3
0
200
400
600
800
1000
1200
2010 2015 2020 2025 2030 2035
TDS
concentration
in
mg/L
Time in years
Scenario 1
Scenario 2
Scenario 3
0
200
400
600
800
1000
1200
2010 2015 2020 2025 2030 2035
TDS
concentration
in
mg/L
Time in years
Scenario 1
Scenario 2
Scenario 3
Figure-12: Calculated Vs Observed Groundwater
Concentration (mg/L) for 1080 days
9. PREDICTION OF TDS CONCENTRATION IN THE
STUDY AREA
The TDS concentration is predicted in the study area under
three different Scenario. Prediction is done for 10 years i.e.,
from the year 2020 to 2030. three wells around to the study
area were considered and their impact on the ground water
was studied. three wells are located at Adugodi, HSR Layout,
Indiranagar.
The three observation wells located at Adugodi, HSR Layout,
Indiranagar for the above three scenarios the forecasting is
been present in below figures 12,13 and 14 respectively.
Figure 12: Forecasted values of TDS concentration in
groundwater at ADUGODI, till 2030 for all the three
different scenarios
Figure 13: Forecasted values of TDS concentration in
groundwater at HSR LAYOUT, till 2030 for all the three
different scenarios
Figure 14: Forecasted values of TDS concentration in
groundwater at Indiranagara, till 2030 for all the three
different scenarios.
10. CONCLUSIONS
The following conclusions can be drawn from the study
based on the results obtained after simulating the model:
 The output from the MODFLOW shows that the head
(groundwater level) used for the calibration and the
validation step has a good match between observed
values and model calculated values for all the three
observation wells.
 The direction of groundwater flow is from the South-
West to the East direction, following the
gravitational flow from the higher elevation in the
South west direction towards the lower elevation on
East direction of study area.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 161
 The output from the MT3DMS model shows the TDS
concentration of groundwater at all the three
concentration wells considered to have a good match
with the observed and model calculated TDS values for
both calibration and validation steps.
 The prediction of the model for the three scenarios are
as follows:
1. The well COBS1 is located in ADUGODI. The
borewell is 5.86 kms away from the lake. By the
year 2030, if the present scenario continues the
TDS concentration will increase up to 800 mg/L.
For scenarios 2, the TDS concentration will reach
up to 1150 mg/L and for scenario 3 the TDS
concentration will decrease up to 400 mg/l.
2. The COBS2 borewell is located at HSR layout. It is
2.92 km away from the lake. By the year 2030, if
the present scenario continues the TDS
concentration will increase up to 890 mg/L. For
scenarios 2, the TDS concentration will reach up to
1180 mg/L and for scenario 3 the TDS
concentration will decrease up to 410 mg/l.
3. The COBS2 borewell is located at Indiranagara. It is
5.36 km away from the lake. By the year 2030, if
the present scenario continues the TDS
concentration will increase up to 900 mg/L. For
scenarios 2, the TDS concentration will reach up to
1170 mg/L and for scenario 3 the TDS
concentration will decrease up to 390 mg/l.
 Predictions for scenario 2, showed that the TDS
concentration in groundwater will increase from
which it can be concluded that STP are not
functioning properly and also improper discharge
industrial effluents and sewage water into the lake
concludes effect on the ground water system.
 By adopting the remedial measures (scenario 3), it
was seen that the TDS concentration had been
significantly reduced. Remedial measures that
could be adopted are
1. No more untreated sewage diversion to the
lake
2. Enforcement of Polluter pays Principle which
is to ensure zero discharge through effluent
treatment plants.
3. Decentralized treatment of sewage a model
similar to Jakkur lake (STP with constructed
wetlands and algal ponds)
4. For frothing and fire issue ban phosphorus use
in detergents or regulate detergents with
phosphorous in the market which can reduce
eutrophication and minimizes the frothing
4. REFERENCES
 Akshatha M(2015) All you need to know about
Bellandur Lake and its problems | Citizen Matters,
Bengaluru. https://bengaluru.citizenmatters.in/all-
you-need-to-know-about-bellandur-lake-and-its-
problems.
 Arun Kumar G.P, Dr. M C Sampath Kumar (2021),
Basic Studies on Reclamation of Bellandur Lake,
Ijariie-Issn(O)-2395-4396 Vol-7 Issue-3 2021.
 CGWB (2018), Aquifers system of Karnataka.
 CPCB (2017), status of groundwater quality in India-
Part 1, groundwater quality series, GWQS.
 https://bangaloremirror.indiatimes.com/bangalore
/others/bellandur-a-warning-bell-for-
bengaluru/articleshowprint/57238208.cms?prtpage
=1
 Jambhava Samavedamuni Chandrashekar R.K.
Somashekar (2013), Impact of urbanization on
Bellandur Lake, Bangalore - A case study. August
2003 Journal of Environmental Biology 24(3):223-7.
 Parvathi K S, Shivani P Kumar, Vikash Kumar
Gupta (2018), Evaluation of Water Quality in
Bellandur Lake. International Journal of Engineering
Technology Science and Research IJETSR
www.ijetsr.com ISSN 2394 – 3386 Volume 5, Issue 1
January 2018.
 Ramachandra.T.V, Sudhira.H.S, Karthik.B,
Avinash.K.G(2008), Environmental Impact of
Developmental Activities in the Bellandur Lake
catchment. Centre for Ecological Sciences, Indian
Institute of Science, Bengaluru.
 Ramesh. N, Krishnaiah. S (2014) Water Quality
Assessment of Bellandur Lake in Bangalore City,
Karnataka, India. International Journal of
Engineering Research & Technology (IJERT) ISSN:
2278-0181 Vol. 3 Issue 3, March – 2014.
 Sushant Kumar, M. K. Choudhary, T. R. Nayak
(2017), Groundwater Modelling in Bina River Basin,
India using Visual Modflow. IJSRD - International
Journal for Scientific Research & Development| Vol.
5, Issue 05, 2017 | ISSN (online): 2321-0613.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 162
 T V Ramachandra, Durga Madhab Mahapatra, Vinay
Shivamurthy, Sudarshan Bhat(2017), Bellandur and
Varthur Lakes Rejuvenation Blueprint.
https://www.researchgate.net/publication/319https:/
/www.researchgate.net/publication/319103759.
 V Hariharan and M Uma Shankar (2017), A review of
Visual MODFLOW applications in groundwater
modelling. IOP Publishing 14th ICSET-2017.
 Waterloo hydrogeologic Inc “Visual MODFLOW flex 6.1
User’s Manual” Waterloo hydrogeologic Inc, Canada,
pages 702.

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FORECASTING OF GROUNDWATER QUALITY IN AND AROUND BELLANDUR LAKE BY VISUAL MODFLOW FLEX

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 156 FORECASTING OF GROUNDWATER QUALITY IN AND AROUND BELLANDUR LAKE BY VISUAL MODFLOW FLEX Navyashree. A. N 1 , Dr B Santhaveerana Goud 2 , Anusha.G3 1 PG Student, Department of Civil Engineering, University Visvesvaraya College of Engineering, Karnataka, India. 2 Professor of Civil Engineering, Department of Civil Engineering, UVCE, Bangalore University, Bengaluru, Karnataka, India. 3Research Scholars, Department of Civil Engineering, UVCE, Bangalore University, Bengaluru, Karnataka, India. ---------------------------------------------------------------------***-------------------------------------------------------- Abstract - Bangalore city originally met its water demand from the lakes and rivers. The lakes and rivers that were once a source of water for irrigation, drinking, fishing is now used as dumping sites for domestic sewage, domestic solid waste. (Ankesh S. B et al., 2018). The lakes of the city are facing extinction due to pollution. Groundwater contamination is nearly always the result of human activity. Human activities like indiscriminate disposal of untreated industrial effluents and sewage wastes, dumping of solid waste, dumping of construction and demolition wastes into water bodies leads to groundwater contamination. One of such lake which is affected by these human activities is Bellandur lake. Key Words: status of water quality, Bangalore, Bellandur lake. 1. INTRODUCTION Groundwater is a critical resource for people, economies, and the environment. The increase in population increases the demand and thus the exploitation (Smith et al. 2016). Globally 70 percentage of surface and sub-surface water is used for irrigation India is the largest user of groundwater in the world followed by China and USA. Many regions in India experiencing declining water tables due to over exploitation and ill-management of the resources. According to the recent studies shows that 26% of the area of Karnataka State is under over exploited category. Due to this there is need to understand the processes by which uncontaminated groundwater is made available. 2. OBJECTIVES The objective of this dissertation work is as follows: A. To assess the impact of total dissolved solids (TDS) concentration on the groundwater system of Bellandur lake with the help of Visual MODFLOW Flex Software. B. To predict the future groundwater TDS concentration in the study area from the year 2019 to 2030 using MT3DMS for the following scenarios: 1. If the present scenario of lake pollution without proper control measures continues for next 10 years, what will be the impact on the groundwater quality by the end of 2030 2. If industries meet TDS discharge of 2100 mg/l (IS-10500,2012) and no sewage discharge into the lake for next 10 years, what will be the impact on the groundwater quality by the end of 2030. 3. If the remedial measures such as STP with Integrated constructed wastelands and algae ponds to remove the nutrients meet TDS discharge of 500 mg/l (IS-10500,2012) for the next 10 years, what will be impact in the groundwater quality by the end of 2030. To suggest remedial measures to improve the future groundwater quality of the study area. 3. Materials and Methodology Study Area Location of the study area: Bellandur Lake in Bangalore city spreads across an area of 892 acres. It is located at latitude of 12°58ʹ N and longitude of 77°35ʹ E at an altitude of 921 m above mean sea level. The water storing capacity of Bellandur lake is 17.66 million cubic feet. It is located about 20 km from the city towards the south-east of Bangalore city which is extremely important ecological zone. Water further flows to the Varthur lake, eventually into the Pinakini River basin. The tank remains full throughout the year since it receives sewage water of about 500 MLD from Bangalore city (Ramesh N et al. 2014).
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 157 Figure 1: Location of the Bellandur lake. Bellandur lake is highly polluted with sewage and in May 2015 the foam covering the water surface caught fire and burned for hours making international headlines. The lake has since caught fire multiple times including in January 2018, and March 2021 but in 1970s people from as many as 18 villages depended on the waters of Bellandur tank to lead their lives. There are some issues regarding with Bellandur lake because of entry of untreated sewage into the lake through various inlets. Stormwater drains was designed for flow of clean rainwater from Koramangala and Challaghatta (K&C) Valley to Bellandur lake. However, the lake gets sewage inflow due to these reasons. 1) Improper sewage system due to which untreated sewage overflows and joins storm water drains, mixes with rain water, which in turn flows to Bellandur lake. 2) Lack of effluent treatment plants to treat industrial wastes from small factories which also get into the storm water drains (https://bengaluru.citizenmatters.in/all-you-need- to-know-about-bellandur-lake-and-its-problems) Figure 3: Representation of four main inlets from where sewage enters Bellandur lake. (Pic Source: BWSSB). 4.Methodology Figure 4: Flow chart of modelling in the schematic block diagram (N.Mondal ,2019) 5. Data analysis and interpretation Modflow Model input Preparation of Base Map Base map of the study area was taken from google earth pro. It was converted into .SHP format with the help of ArcGIS. Figure 2: Location of the study area.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 158 Figure 5: Model Screen with study boundary, lakeboundary and inactive cells Assigning Layer Elevations (Above Mean SeaLevel): Here three layers were considered throughout the study area. Top erosional ground level (GD) layer, shallow weathering layer as layer-1 and the bottom layer was named as layer-2. The top layer is shallow weathered zone of thickness 25 m and the bottom layer is deeper fractured rock with thickness of 225 meters. By using Google Earth Pro, the elevation data for all layers were obtained. It was entered to the model using the surfer grid file in. GRD format.  ASSIGNING LAYER PROPERTIES Visual MODFLOW allows to input field observations for head, concentration and relate these observations to model output values. Figure 6: Observation well data being assigned to the model MODEL RUN- After completing the input parameters, run model isselected from the screen. By selecting [Run] in the Main Menu, Select Run Type dialogue box appears, the modelwas run. 6.MODEL OUTPUT Modflow output provides graphs of calculated vs observed heads and velocity vectors.  CHART SHOWING CALCULATED VS OBSERVED HEADS FOR 440 DAYS The calibrated chart for the 440th day showed good match between the observed head in the field versus the model calculated head values. The standard error of estimation was 1.52 m and the root mean squared value was 2.74 m which implies the error of less than 5%. Figure 7: Calculated Vs Observed groundwater level (above MSL) for the 440 days  CHART SHOWING CALCULATED VS OBSERVED HEADS FOR 880 DAYS The calibrated chart for the 880th day showed good match between the observed head in the field versus the model calculated head values. The standard error of estimation was 1.08 m and the root mean squared value was 2.74 m which implies the error of less than 5%. Figure-8: Calculated Vs Observed groundwater level (above MSL) for day 880th day
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 159  CHART SHOWING CALCULATED VS OBSERVED HEADS FOR 1766 DAYS The calibrated chart for the 1766th day showed good match between the observed head in the field versus the model calculated head values. The standard error of estimation was 1.58 m and the root mean squared value was 2.74 m which implies the error of less than 5% Figure 9: Calculated Vs Observed groundwater level (above MSL) for the 1766days 7.Modpath Input Particles are assigned on the boundary of the study area covering source of pollution Modpath Output The output from the MODPATH includes the particle path- line direction of the groundwater which was towards the northeast direction of the study area. 8.MT3DMS OUTPUT MT3DMS output provides calculated versus observed TDS concentration graph. The Calibration of the model is done by adjusting the dispersion values by trial-and-error method.  CHART SHOWING CALCULATED VS OBSERVED CONCENTRATIONS FOR 440 DAYS The calibrated chart for the 440th day showed good match between the TDS concentration that was observed in the field versus the model calculated TDS concentration values. The standard error of estimation was 0.91 mg/L and the root mean squared value was 3.93 mg/L which implies the error of less than 5% Figure 10: Calculated Vs Observed Groundwater Concentration (mg/L) for the 440 days.  CHART SHOWING CALCULATED VS OBSERVED CONCENTRATIONS FOR 880 DAYS The calibrated chart for the 880th day showed good match between the TDS concentration that was observed in the field versus the model calculated TDS concentration values. The standard error of estimation was 0.85 mg/L and the root mean squared value was 2.39 mg/L which implies the error of less than 5%. Figure-11: Calculated Vs Observed Groundwater Concentration (mg/L) for 880 days.  CHART SHOWING CALCULATED VS OBSERVED CONCENTRATIONS FOR 1080 DAYS The calibrated chart for the 1080th day showed good match between the TDS concentration that was observed in the field versus the model calculated TDS concentration values. The standard error of estimation was 0.91 mg/L and the root mean squared value was 3.93 mg/L which implies the error of less than 5%
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 160 0 200 400 600 800 1000 1200 2010 2020 2030 2040 TDS concentration in mg/L Time in years Scenario 1 Scenario 2 Scenario 3 0 200 400 600 800 1000 1200 2010 2015 2020 2025 2030 2035 TDS concentration in mg/L Time in years Scenario 1 Scenario 2 Scenario 3 0 200 400 600 800 1000 1200 2010 2015 2020 2025 2030 2035 TDS concentration in mg/L Time in years Scenario 1 Scenario 2 Scenario 3 Figure-12: Calculated Vs Observed Groundwater Concentration (mg/L) for 1080 days 9. PREDICTION OF TDS CONCENTRATION IN THE STUDY AREA The TDS concentration is predicted in the study area under three different Scenario. Prediction is done for 10 years i.e., from the year 2020 to 2030. three wells around to the study area were considered and their impact on the ground water was studied. three wells are located at Adugodi, HSR Layout, Indiranagar. The three observation wells located at Adugodi, HSR Layout, Indiranagar for the above three scenarios the forecasting is been present in below figures 12,13 and 14 respectively. Figure 12: Forecasted values of TDS concentration in groundwater at ADUGODI, till 2030 for all the three different scenarios Figure 13: Forecasted values of TDS concentration in groundwater at HSR LAYOUT, till 2030 for all the three different scenarios Figure 14: Forecasted values of TDS concentration in groundwater at Indiranagara, till 2030 for all the three different scenarios. 10. CONCLUSIONS The following conclusions can be drawn from the study based on the results obtained after simulating the model:  The output from the MODFLOW shows that the head (groundwater level) used for the calibration and the validation step has a good match between observed values and model calculated values for all the three observation wells.  The direction of groundwater flow is from the South- West to the East direction, following the gravitational flow from the higher elevation in the South west direction towards the lower elevation on East direction of study area.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 161  The output from the MT3DMS model shows the TDS concentration of groundwater at all the three concentration wells considered to have a good match with the observed and model calculated TDS values for both calibration and validation steps.  The prediction of the model for the three scenarios are as follows: 1. The well COBS1 is located in ADUGODI. The borewell is 5.86 kms away from the lake. By the year 2030, if the present scenario continues the TDS concentration will increase up to 800 mg/L. For scenarios 2, the TDS concentration will reach up to 1150 mg/L and for scenario 3 the TDS concentration will decrease up to 400 mg/l. 2. The COBS2 borewell is located at HSR layout. It is 2.92 km away from the lake. By the year 2030, if the present scenario continues the TDS concentration will increase up to 890 mg/L. For scenarios 2, the TDS concentration will reach up to 1180 mg/L and for scenario 3 the TDS concentration will decrease up to 410 mg/l. 3. The COBS2 borewell is located at Indiranagara. It is 5.36 km away from the lake. By the year 2030, if the present scenario continues the TDS concentration will increase up to 900 mg/L. For scenarios 2, the TDS concentration will reach up to 1170 mg/L and for scenario 3 the TDS concentration will decrease up to 390 mg/l.  Predictions for scenario 2, showed that the TDS concentration in groundwater will increase from which it can be concluded that STP are not functioning properly and also improper discharge industrial effluents and sewage water into the lake concludes effect on the ground water system.  By adopting the remedial measures (scenario 3), it was seen that the TDS concentration had been significantly reduced. Remedial measures that could be adopted are 1. No more untreated sewage diversion to the lake 2. Enforcement of Polluter pays Principle which is to ensure zero discharge through effluent treatment plants. 3. Decentralized treatment of sewage a model similar to Jakkur lake (STP with constructed wetlands and algal ponds) 4. For frothing and fire issue ban phosphorus use in detergents or regulate detergents with phosphorous in the market which can reduce eutrophication and minimizes the frothing 4. REFERENCES  Akshatha M(2015) All you need to know about Bellandur Lake and its problems | Citizen Matters, Bengaluru. https://bengaluru.citizenmatters.in/all- you-need-to-know-about-bellandur-lake-and-its- problems.  Arun Kumar G.P, Dr. M C Sampath Kumar (2021), Basic Studies on Reclamation of Bellandur Lake, Ijariie-Issn(O)-2395-4396 Vol-7 Issue-3 2021.  CGWB (2018), Aquifers system of Karnataka.  CPCB (2017), status of groundwater quality in India- Part 1, groundwater quality series, GWQS.  https://bangaloremirror.indiatimes.com/bangalore /others/bellandur-a-warning-bell-for- bengaluru/articleshowprint/57238208.cms?prtpage =1  Jambhava Samavedamuni Chandrashekar R.K. Somashekar (2013), Impact of urbanization on Bellandur Lake, Bangalore - A case study. August 2003 Journal of Environmental Biology 24(3):223-7.  Parvathi K S, Shivani P Kumar, Vikash Kumar Gupta (2018), Evaluation of Water Quality in Bellandur Lake. International Journal of Engineering Technology Science and Research IJETSR www.ijetsr.com ISSN 2394 – 3386 Volume 5, Issue 1 January 2018.  Ramachandra.T.V, Sudhira.H.S, Karthik.B, Avinash.K.G(2008), Environmental Impact of Developmental Activities in the Bellandur Lake catchment. Centre for Ecological Sciences, Indian Institute of Science, Bengaluru.  Ramesh. N, Krishnaiah. S (2014) Water Quality Assessment of Bellandur Lake in Bangalore City, Karnataka, India. International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 3 Issue 3, March – 2014.  Sushant Kumar, M. K. Choudhary, T. R. Nayak (2017), Groundwater Modelling in Bina River Basin, India using Visual Modflow. IJSRD - International Journal for Scientific Research & Development| Vol. 5, Issue 05, 2017 | ISSN (online): 2321-0613.
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 10 | Oct 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 162  T V Ramachandra, Durga Madhab Mahapatra, Vinay Shivamurthy, Sudarshan Bhat(2017), Bellandur and Varthur Lakes Rejuvenation Blueprint. https://www.researchgate.net/publication/319https:/ /www.researchgate.net/publication/319103759.  V Hariharan and M Uma Shankar (2017), A review of Visual MODFLOW applications in groundwater modelling. IOP Publishing 14th ICSET-2017.  Waterloo hydrogeologic Inc “Visual MODFLOW flex 6.1 User’s Manual” Waterloo hydrogeologic Inc, Canada, pages 702.