Agricultural Water demand Modeling using HEC HMS … · • HEC HMS can simulate the rainfall -runoff at any point within a watershed when given the physical characteristics of the

Agricultural Water demand Modeling using HEC HMS Soil Moisture Accounting for Ajay River basin, India

by

Dr Sujana Dhar Senior Project Scientist

Deptartment of Civil Engineering Indian Institute of Technology Delhi

Outline of Presentation

• Purpose of Work

• Chosen study area in Eastern India: Ajay River Basin

• Part I: The HEC HMS Model

• Part II: Hydrological Modeling of the Ajay River using HEC HMS Model

Purpose of Work

• Ajay River basin in Eastern India was selected and studied for assessment of water availability with emphasis on soil moisture accounting. A futuristic look into water availability for the year 2050 was attempted. In order for a successful analysis, a tools like Hydrological Engineering Centre Hydrological Modelling System (HEC HMS) were used.

• Once the hydrological simulation of the river basin was made, soil moisture accounting was given due priority, the futuristic prediction of water availability was achieved based on the projected rainfall data generated out of the regional climatic change models keeping primarily in view the land cover and land use pattern.

Introduction

• Ajay River is an important rivers in West Bengal. These natural resources of water support a large and vitally important variety of economic activities such as fishery, recreation and irrigation.

• The intensive use of land and water in the watersheds for purposes of agricultural irrigation, domestic, municipal and wildlife make the rivers susceptible to drying up/depletion of resources.

Description 1/2

• The catchment located in the plateau of Santhal Parganas, lies between 23°27′ to 24°40′ N latitudes and between 86°15′ to 88°10′ E longitudes and is covered by Survey of India toposheets nos. 72L/6,7,8,10,11,12,15,16, 73I/13, 73M/ 1,2,5,6,7,10,11,14,15 and 79A/1 in the scale of 1:50,000 and 1:36,360.

• It spreads over Deoghar, Dumka, Giridhi, Munger & Jamui district of Bihar and the Burdwan and Birbhum districts of West Bengal.

Description 2/2

• The total basin area of Ajay River is 6,888 square km. The basin area in Jharkhand is 3,554 square km, which is 51.6 percent of the total basin area. In West Bengal, the basin area is 3,334 square km, which is 48.4 percent of the total. The basin area in Jharkhand is hilly whereas that in West Bengal is mostly plain. About 7 percent of the total area is under forests and about 63 percent is under cultivation.

• The observed discharge for two gauge stations in Ajay River located at Jamtara, in Jharkhand and Natunhat in Barddhaman district in West Bengal was collected from CWC,Asansol.

Jamtara and Natunhat Subbasins

• The river basin between these two gauge stations represents the study area. The Jamtara station is located at latitude 23°58′18″ and longitude 86°54′25″ and the Natunhat station is located at latitude 23°32′44″ and longitude 87°54′25″.

• The basin area between these two stations is about 2906 square km. Average annual precipitation of the study area is about 120 cm. The elevation of the study area ranges from 232m to 48m. The major portion of the study area is under agriculture. Soils of the study area are red loamy soil, older alluvium and younger alluvium. The average slope varies from 1 in 700 to 1 in 2500.

Settlement

Natunhat

Birbhum District

LANDUSE / LANDCOVER

Ajoy R.

Kharif Double Cropped Crops subject to flooding

River Water bodies

Riverine Sand

Index

State Highway District Roads Village Roads Village Boundary

Land Use of Ajay River at Natunhat

Jamtara Subbasin

Part I: The HEC HMS Model

Modeling

• In general a model can be defined as a deliberately simplified construct of nature erected for the purpose of understanding a phenomenon (Batchelor, 1994).

• A watershed hydrology model is an assemblage of component models corresponding to different components of hydrologic cycle (Singh, 1995).

Introduction

• HEC HMS can simulate the rainfall-runoff at any point within a watershed when given the physical characteristics of the watershed.

• It is a tool for watershed management that can be developed to determine the effect on the magnitude, quantity and timing of runoff at points of interest. Results from the model can be used by a number of other programs to determine impact in areas such as water quality and flood damage.

• It has been developed by the US Army Corps of Engineers, USA

Model Development

• Identify the decision required.

• Determine what information is required to make a decision.

• Identify methods that can provide the information, identify criteria for selecting one of the methods and select a method.

• Calibrate and verify the model.

• Apply the model.

• Process results to derive required information.

Soil Moisture Accounting (SMA)

• SMA within HEC HMS method allows for long-term continuous simulation of hydrologic processes that occur and change over time in a watershed.

• This is achieved by simulating the movement of precipitation through storage volumes that represent canopy interception, surface depressions, the soil profile and two groundwater layers.

Soil Moisture Accounting within HEC HMS Model

Input to Model

• Climatic Data

• Topographical information

• Soil type

• Land use pattern

• Hydrological information

Limitations of HEC HMS

• Availability of information for calibration or parameter estimation

• Appropriateness of the assumptions inherent in the model

Part II: Hydrological Modeling of the Ajay River using HEC HMS Model

Introduction

• The HEC HMS model was applied to the Ajay River basin spanning Bihar and West Bengal.

• The following slides illustrate the calibration and subsequent graphs generated over the Ajay River basin using the HEC HMS model. The subbasins that were chosen within the Ajay River basin were Jamtara in Jharkhand and Natunhat in Burdwan, West Bengal.

HEC HMS Interface

Model calibration

• Calibration is the process of adjusting the model parameter values until model simulated results match historical data

• Calibration allows us to correct errors and thus ensures our accuracy. A well calibrated model will give us a much better scope of properly utilizing the model

Calibration procedure

Input parameters & agencies

• Precipitation in mm from IMD, Kolkata

• Discharge in cumecs from CWC, Asansol

• Soil data from NATMO,NBSSLUP thematic maps

• Topographical information from SOI, Kolkata

• Futuristic statistical precipitation data from IITM, Pune obtained from on Hadley centre for climate prediction and research, UK.

Results of Calibration

Coefficient of correlation • The statistical goodness-of-fit used was the coefficient of

correlation (R2), which explains how much the measured values are explained by the simulated values indicating the strength of correlation between the two variables.

• If the value for R2 is zero or close to zero, the model’s prediction capability is poor and unacceptable. If the values are close or equal to one, the model prediction is considered perfect.

Jamtara calibration for the year 1998

HEC HMS Flow Calibration Year 1998

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HEC HMS

Jamtara calibration for the year 1998 Flow Correlation for 1998

R2 = 0.7395

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Jamtara calibration for the year 1999

HEC HMS Flow Calibration for year 1999

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HEC HMS

Jamtara calibration for the year 1999 Flow Correlation for 1999

R2 = 0.5064

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Natunhat calibration for the year 1998 Simulated and Observed Hydrograph for year 1998

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HEC HMS SimulatedCWC Gauge Observed

Natunhat calibration for the year 1998

Flow Correlation for 1998

R2 = 0.7634

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Natunhat calibration for the year 1999 Simulated and Observed Hydrograph for 1999

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Natunhat calibration for the year 1999

Flow Correlation for 1999

R2 = 0.535

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Natunhat calibration for the year 1998-2000

Simulated and Observed Hydrograph

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HEC HMS Simulated CWC Gauge Observed

Natunhat calibration for the year 1998-2000

Flow Correlation for years 1998-2000

R2 = 0.9986

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CWC Gauge Observed data

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a

Model validation

• Model validation was performed for the annual and monthly stream flows of the Jamtara & Natunhat sub-basins. The site was selected based on the availability of measured flow data.

• In the validation process, the model run was made with input parameters set during the calibration process without any change and the results were compared with observed data from the year 2000 were used for calibration.

Results of Validation Study

Flow validation over Jamtara for the year 2000

Flow validation over Jamtara for the year 2000

Flow Correlation for year 2000

R2 = 0.82

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Flow validation over Natunhat for the year 2000

Simulated and Observed Hydrograph for year 2000

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Flow validation over Natunhat for the year 2000

Flow Correlation for year 2000

R2 = 0.8539

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Projected Results for the years 2042-2050

Projections for Jamtara during the years 2042-2050 Projected Evapotranspiration

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Projections for Natunhat during the years 2042-2050

Projected Canopy Evapotranspiration

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Projected Soil Evapotranspiration

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Projections for Jamtara during the years 2042-2050 Projected Hydrological Parameters

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total pptn mmtotal loss mmtotal excess mmtotal direct runoff mmtotal discharge mm

Projection for Natunhat during the year 2041

Projected Flow for year 2041

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Projection for Natunhat during the years 2042-2050 Projected Peak Discharge

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Observations

• It was observed that precipitation, discharge, excess and direct runoff decrease while losses increase over the mentioned time frame.

• Soil parameters such as canopy evapotranspiration are seen to increase. The soil evapotranspiration and surface evapotranspiration are seen to display a decreasing trend from the year 2041-2050.

Projected discharge comparison at Natunhat 1/2

• The runoff simulated for the current climate year 2000, was

compared with results for the warmer climate, simulated towards the year 2050.

• In the following figs we see a comparison of projected discharge of years 2041,43,45,47 and 2049 with respect to baseline year 2000 (wherein no climate change has occurred and is under present precipitation regime).

Projected discharge comparison at Natunhat

Projected Discharge for Year 2041 compared to Year 2000

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Projected Discharge in Year 2049 compared to Year 2000

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Year 2049

Projected discharge comparison at Natunhat 2/2

• Here the least effect of climate change is seen in year 2047 (37.50% less discharge as compared to discharge for year 2000)

• In 2043 we see the maximum effect of climate change where projected discharge is 82.24% less than baseline discharge

• This may be attributed to the effects of climate change such as shifts in spatial rainfall patterns, increase in average annual temperature and less annual precipitation per basin average area.

Conclusion of part II

• A detailed study involving the application of a very well calibrated HEC HMS model (R2 = 0.85) was carried out over the Ajay River spanning Jharkhand and West Bengal. The sub basins chosen for the work were Jamtara sub basin (Jharkhand) and Natunhat sub basin (West Bengal).

• Projected data obtained from Hadley Centre, UK through IITM, Pune was used to obtain projected parameters for future water availability of the Ajay River over the chosen area from the year 2041-2050.

Conclusion of part II

• It was observed that precipitation, discharge, excess and direct runoff decrease while losses increase over the mentioned time frame.

• Soil parameters such as canopy evapotranspiration are seen to increase. The soil evapotranspiration and surface evapotranspiration are seen to display a decreasing trend from the year 2041-2050.

Selected References 1/2

• Arnold, J. G., R. Srinivason, R. R. Muttiah and J. R. Williams (1998) "Large Area Hydrologic Modeling and Assessment Part I : Model Development." Journal of the American Water Resources Association 34(1): 73-89.

• Arnold, J. G., Williams, J. R., Srinivasan, R. and King, K. W (1994) Soil and Water Assessment Tool, Use's Manual, USDA, Agriculture Research Service, Grassland, Soil and Water Research Laboratory, 808 East Blackland Road Temple, TX 76502.

• Intergovernmental Panel on Climate Change (IPCC) (1996b) Climate Change 1995: Impacts, Adaptations and Mitigation of Climate Change: Scientific-Technical Analyses: Contribution of Working Group II to the Second Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, New York.

Selected References 2/2

• Roy P K and Mazumdar A (2005) A comparative study of stream flow between lumped and distributed model of Ajoy river basin. Proc. National Seminar on Survey, Conservation & Utilization of Water Resources, Jan 2005.

• Tripathi M P; Panda R K and Raghuwanshi N S (1999a) Runoff estimation from a small watershed using SWAT model. Hydrological Modelling, Proceeding of International Conference on Water, Environment, Ecology, Socio-Economics and Health Engineering, held at Seoul, Korea from October 18 to 21, 1999, pp 143–152

• USACE (2000a) Hydrologic Modeling System HEC-HMS. Technical Reference Manual, US Army Corps of Engineers, Hydrologic Engineering Center

Publications

International Publications 1/4 • Sujana Dhar and Asis Mazumdar.,(2009) Hydrological Modeling of the

Kangsabati River under Changed Climate Scenario: Case Study in India, Hydrological Processes, John Wiley & Sons. Accepted for publication.

• Sujana Dhar and Asis Mazumdar.,(2008) Hydrological Modeling of Natunhat Watershed , West Bengal of the Ajay River Catchment under Changed Climate Scenario , International Journal of Ecological Economics and Statistics, Princeton University, USA. Accepted for publication.

• Sujana Dhar and Asis Mazumdar (2009). Impacts of Climate Change under the Threat of Global Warming for an Agricultural Watershed of the Kangsabati River. Proc. of EnviroEnergy 2009 & World Academy of Science, Engineering and Technology.

International Publications 2/4 • Sujana Dhar and Asis Mazumdar (2009). Climate Change and its

impact on the Kangsabati Basin using the SWAT Model. Proc. of Water, Energy, Environment and Society. New Delhi 2009

• Sujana Dhar and Asis Mazumdar (2009). Asssessment of the Impacts of Climate Change over the Kangsabati River using Hydrological Modeling. Proc. Climate Change Conference.Pune 2009

• Sujana Dhar and Asis Mazumdar (2008). Simulation of the SMA Parameters for the Ajay River for Future Water Availability Scenario. Proc. International Convention On Water Resources Development And Management. Pilani 2008

International Publications 3/4

• Sujana Dhar and Asis Mazumdar.,(2008) Climate Change effects on the Jamtara Watershed of the Ajay River with Special Emphasis on Soil Moisture Parameters, Proc. International Conference on water Crisis and opportunities, NEERI,Nagpur

• Sujana Dhar and Asis Mazumdar.,(2007) Cartography for Natural Resources Management of the Piyali River in Sundarbans of West Bengal, Proc. XXVII INCA International Congress, Visakapatnam.

• Sujana Dhar and Asis Mazumdar., (2007) Investigation and Remedial Measures for Salt Water Intrusion due to Global Climate Change: A Case Study in Sundarbans. Proc. International Groundwater Conference, Jaipur.

International Publications 4/4

• Sujana Dhar and Asis Mazumdar., (2006)Cartography Application for Evaluation of Water Resources of a Watershed in Eastern India, Proc. XXI INCA International Congress, New Delhi.

• Sujana Dhar and Asis Mazumdar.,(2006) An Assessment of the Future Water Availability of Ajoy River Catchment with Special Emphasis on Soil Moisture Accounting, Proc. Map India 2006, New Delhi.

National Publications • Sujana Dhar and Asis Mazumdar.,(2007) Hydrological Modelling of

Jamtara Watershed, West Bengal of the Ajoy River Catchment through Soil Moisture accounting Parameters, Journal of Soil and Water Conservation, New Delhi. Accepted for publication

• Sujana Dhar and Asis Mazumdar., (2006) Water Resources Availability Scenario of an Agricultural Watershed under the Threat of Climate Change. Proc. Water Resources - Future Options 2006, Central Board of Irrigation and Power, Jaipur, Rajasthan.

• Sujana Dhar and Asis Mazumdar (2008). Impacts of Climate Change over the Water Resources of the Kangsabati River using Hydrological Modeling. Proc. of Integrated Water and Wastewater Management. Kokata 2008

List of Publications: Communicated to Journals 1/3

• Sujana Dhar and Asis Mazumdar., (2009) Agricultural Water

Resources assessment of the Kangsabati River Basin under the threat of Climate Change. Irrigation and Drainage Journal, Wiley InterScience, in communication.

• Sujana Dhar and Asis Mazumdar., (2009) Field Investigation into the Salinity Condition of the Piyali River of the Sundarbans. River Research & Applications, John Wiley & Sons in communication.

• Sujana Dhar and Asis Mazumdar., (2009) Hydrological Modeling of the Ajay River Basin in West Bengal through Soil Moisture Accounting. River Research & Applications, John Wiley & Sons in communication.


• Sujana Dhar and Asis Mazumdar., (2009) Comparison of HEC HMS-

SMA and SWAT Model: Case Study of the Kangsabati River Basin over West Bengal. Journal of Hydroinformatics, IWA Publishers, in communication.

• Sujana Dhar and Asis Mazumdar., (2009) Investigation into the Effects of Climate Change for the Ajay River Basin using Hydroinformatics. Hydrological Processes, John Wiley & Sons, in communication.

• Sujana Dhar and Asis Mazumdar., (2008) Calibration of the SWAT Model to the Kangsabati River: Case Study India. Journal of Hydroinformatics, IWA Publishers, in communication


• Sujana Dhar and Asis Mazumdar.,(2007) Hydrologic Modeling of

HEC HMS over the Ajoy River Catchment, Jamtara Watershed, Jharkhand, Journal of Spatial Hydrology, USA, in communication

• Sujana Dhar and Asis Mazumdar.,(2007) Controlling Salt Water Intrusion into the Piyali River: Case Study in the Sundarbans of India , International Journal of Water, in communication

Thank you

Documents

Agricultural Water demand Modeling using HEC HMS … · • HEC HMS can simulate the rainfall -runoff at any point within a watershed when given the physical characteristics of the