SWAT-MODFLOW and an Optimization Model for Conjunctive Use of Surface and Groundwater of Nagarjuna Sagar Catchment

(1)

INTERNATIONAL SWAT CONFERENCE

10-12 January 2018, IIT Madras, Chennai, India

SWAT-MODFLOW, AN OPTIMIZATION MODEL FOR CONJUNCTIVE USE OF SURFCE AND GROUNDWATER OF NAGARJUNA SAGAR CATCHMENT

B. Hima Bindu

Dept. of Civil Engineering IIT Hyderabad

Dr. T. Shashidhar

Dept. of Civil Engineering IIT Hyderabad

DEPARTMENT OF CIVIL ENGINEERING

INDIAN INSTITUTE OF TECHNOLOGY HYDERABAD Date: 10-Jan-18

(2)

• Problem identification

• Objectives

• Study area

• Data collection

• Model setup

• Results and conclusion

OVERVIEW OVERVIEW

(3)

Source: Indian Meteorological Department and Directorate Of Economics And Statistics

722.0 991.0

886.0 565.0

914.0 760.0

953.0

853.0 1009.0 965.0 644.0

1485.0

665.0

ANNUAL RAINFALL OF GUNTUR DISTRICT IN MM

1122.0 1284.0

908.0 826.0

1193.0 1113.0

1551.0 1393.0

1203.0 1584.0

734.0 1804.0

913.0

ANNUAL RAINFALL OF KHAMMAM DISTRICT IN MM

(4)

Raising and falling trends of Ground water levels

--Average water level trend

--pre monsoon water level trend -- Post monsoon water level trend

Guntur

Khammam

Source: Central Ground water department, 2013

 No significant fall of water table noticed in Guntur district when compared to Khammam

 About 83% of the wells are

showing general rising trend of

0.0015 to 0.7684 m/year and the

rest 17% of the wells are showing

falling trend varying from 0.0101

to 0.4833m/year in Guntur District

(5)

Khammam(Telangana)

Guntur(Andhra Pradesh)

Study area

(6)

Objectives

 To develop and test the feasibility of the integrated modelling

framework for surface and groundwater hydrological models (SWAT-

MODFLOW)

(7)

Data collection

DEM

• srtm.csi.cgiar.org

Soil and LULC

• www.waterbase.org

Climate data

• https://globalweather.

• tamu.edu/#pubs

Specific storage Specific yield

Aquifer thickness Hydraulic conductivity

Source: Central Ground water department, 2013

SWAT

MODFLOW

(8)

CONJUNCTIVE USE

Combined use of surface

water &

groundwater

To optimize resource use

minimize adverse effects of using a single

source.

SWAT-

MODFLOW

SWAT-MODFLOW is an integrated hydrological model that couples SWAT land surface processes with spatially-explicit groundwater flow processes

It helps to develop optimum conjunctive use model

(9)

SWAT- RESULTS

SWAT model setup

(10)

SWAT model setup

(11)

SWAT- RESULTS

0 50 100 150 200 250 300

1 2 3 4 5 6 7 8 9 10 11 12

RAINFALL & RUNOFF (MM)

TIME (MONTHS) RAIN SURF

PRECIPITATION = 1226.4 MM

SURFACE RUNOFF Q = 298.82 MM

GROUNDWATER (SHAL AQ) Q = 240.5 MM GROUNDWATER (DEEP AQ) Q = 14.71 MM REVAP (SHAL AQ => SOIL/PLANTS) = 39.36 MM DEEP AQ RECHARGE = 14.74 MM

TOTAL AQ RECHARGE = 294.83 MM TOTAL WATER YLD = 564.85 MM

PERCOLATION OUT OF SOIL = 295.08 MM ET = 621.3 MM

PET = 1967.8 MM

(12)

SWAT model setup

^W^O_R

K D O N E

(13)

13

SWAT- RESULTS

3.57 4.19 10.86 26.49 64.16

291.78

376.98

304.07

181.91

141.89

53.15 15.31 0.57 0.73 1.35 0.65 7.91

151.05

228.45

168.58

78.34

57.77

20.36 5.06 0

50 100 150 200 250 300 350 400

1 2 3 4 5 6 7 8 9 10 11 12

RAINFALL & RUNOFF(MM)

TIME (MONTHS) RAIN SURF

Rainfall-Runoff analysis of Guntur

PRECIPITATION = 1474.4 MM

SURFACE RUNOFF Q = 720.84 MM

GROUNDWATER (SHAL AQ) Q = 152.13 MM GROUNDWATER (DEEP AQ) Q = 9.59 MM REVAP (SHAL AQ => SOIL/PLANTS) = 32.51 MM DEEP AQ RECHARGE = 9.63 MM

TOTAL AQ RECHARGE = 192.65 MM TOTAL WATER YLD = 885.96 MM

PERCOLATION OUT OF SOIL = 192.70 MM ET = 557.3 MM

PET = 1930.6MM

(14)

Hydrological modelling of Madhira Sub basin (Khammam)

(15)

Calibration parameters- SWATCUP-Madhira

Sl.No Parameter_Name Fitted_Value Min_value Max_value

1 R__CN2.mgt -0.084562 -0.100000 -0.010000

2 V__GW_DELAY.gw

175.730774 30.0 180.000000

3 A__GWQMN.gw 20.300001 80.000000 50.000000

4 A__REVAPMN.gw 42.884624 350.000000 100.000000

5 V__GW_REVAP.gw

0.163692 0.100000 0.180000

6 R__SOL_K(..).sol

0.145000 0.300000 0.200000

7 R__SOL_AWC(..).sol 0.338615 0.200000 0.400000

8 V__ESCO.bsn 0.733346 0.700000 0.850000

9 V__EPCO.bsn 0.572385 0.400000 0.700000

(16)

Calibration and validation graphs of Madhira

0 50 100 150 200

Monthly streamflow (m3/s)

Time (Months)

Observed Simulated 0

50 100 150 200 250

Streamflow (m3/s)

Time (Months) Observed Simulated

Calibration Validation Objective

Function

R

²

NSE R

²

NSE

0.67 0.63 0.7 0.43

Calibration period: 1985 – 2006 Validation period : 2007 -- 2013

SWAT-CUP has been used for model

calibration and validation

(17)

SWAT-MODFLOW of Madhira

(18)

SWAT-MODFLOW of Madhira

(19)

Madhira DEM

(20)

Hydrological modelling of Pondugala sub basin

(Guntur)

(21)

SWAT-MODFLOW

(22)

SWAT-MODFLOW

(23)

SWAT-MODFLOW

(24)

SWAT-MODFLOW

(25)

Conclusion

 SWAT-MODFLOW setup has been carried out for Pondugala(Guntur) and Madhira (Khammam) watershed.

 The calibration and validation results of Madhira shows good relation between observed and simulated.

 It is observed that surface runoff of Guntur district shows high values when compared to Khammam District.

 The ground water levels of Khammam and Guntur was estimated using SWAT-MODFLOW.

 Evaluation of management strategies has to be carried out with the help of Linear

programming model.

(26)

(27)

Calibration parameters- SWATCUP-Pondugala

Sl.No Parameter_Name Fitted_Value Min_value Max_value

1 :R__CN2.mgt -0.179200 -0.190000 -0.150000

2 V__GW_REVAP.gw 0.065167 0.050000 0.180000

3 R__SOL_AWC(..).sol 0.350000 0.500000 0.500000

4 R__CN2.mgt -0.059567 -0.120000 -0.050000

5 V__ESCO.bsn 0.124667 0.000000 0.200000

6 R__CN2.mgt -0.126500 -0.150000 -0.120000

7 V__ALPHA_BF.gw 0.304133 0.250000 0.330000

8 V__EPCO.bsn 0.421333 0.300000 0.700000

9 A__GWQMN.gw 260.333344 200.000000 300.000000

10 V__GW_DELAY.gw 34.950001 30.000000 75.000000

11 A__REVAPMN.gw 88.266670 40.000000 120.000000

12 12:R__RES_K.res -0.400333 -0.800000 -0.300000

(28)

28

(29)

29