Abstract:
Success of an irrigation system depends on efficient water management. Efforts to
improve agricultural practice by making more efficient use of available water resources
require mathematical models to simulate the dynamics of water distribution in an irrigation
system. A number of computer-based models have been reported in the literature (such as
SIMIS, CAMSIS, INCA, OMIS etc.) to help irrigation manager in real-time operation of a
canal system. Such models analyze the system operation in terms of water demands and
supply and optimize the water allocation to meet some performance-based criteria/objectives.
Irrigation command areas may exhibit marked spatial heterogeneity in terms of cropping
pattern, physiographic characteristics, irrigation practices, water availability and utilization
etc. Groundwater availability in an irrigation command varies spatially as well as temporally
depending on the depth of groundwater table below the land surface, and groundwater
extraction facilities. Often, gross simplifying assumptions, such as areal average cropping
pattern, uniform physiographic and agro-climatic characteristics and average groundwater
availability etc. are made in planning and operation of canal irrigation projects. This may lead
to glaring discrepancies with ground situation resulting in inefficient utilisation of water
resources.
The objective of this study is to develop a geo-simulation model that can integrate the
spatial information on different variables related to water supply and water demand for realtime
operation of a canal network. Broad aims of developing the scheme are: a) to integrate
the spatial and temporal database for rational operation of an irrigation system, b) to integrate
various processes of irrigation water management in the command area, and c) to depict the
results of simulation model and performance parameters in form of maps for easy
comprehension and decision-making. It is envisaged that such a model will help the irrigation
manager for judicious operation of a canal network on the basis of current state of the system.The developed model operates at weekly time step and consists of two major
distributed models [Soil Water Balance Model (SWBM) and Canal Network Simulation
Model (CNSM)] and a number of sub-models for database generation and linking various
models of the scheme. The purpose of SWBM is to simulate the moisture variation in root
zone of crops for finding spatially distributed irrigation demands, groundwater recharge,
water stress conditions in crops, and soil moisture content at the end of each week. SWBM is
based on a book keeping procedure and incorporates spatial variability of crop, soil, rainfall,
and topography in the dynamics of soil-water-plant interaction. The purpose of CNSM is to
simulate the weekly operation of a canal network and allocate the available canal water and
groundwater on the basis of irrigation demands (calculated by SWBM), system
characteristics, and prevailing groundwater conditions in the area. For allocation of canal
water under deficit conditions, five different water allocation policies have been proposed: a)
Head-reach priority, b) Conjunctive utilisation of water, c) Proportionate supply, d) Tailreach
priority, and e) Conjunctive use with minimum energy demand. For generating revised
groundwater conditions corresponding to different canal operation scenarios, an existing
groundwater simulation model (Visual MODFLOW) is linked to the modeling scheme.To analyze its performance and utilisation, the developed modeling scheme is applied
to a branch canal command (with a gross area of about 1956 sq. km) under the Madhya
Ganga Canal System in U.P. State, India. ILWIS GIS system is used for database
development (soil map, Thiessen polygon map, digital elevation map, flow direction map,
groundwater table map, irrigable command map etc.) and various spatial analysis. ERDAS
IMAGINE system is used for processing of satellite data. Since the scheme provides a large
area simulation, its calibration and validation is carried out using the analysis of groundwater
behavior in the area. Application of the scheme is demonstrated for one crop season of the
year 1998. Maps corresponding to irrigation demands, groundwater recharge, water stress
conditions in crops, various canal operation details, such as discharge and run-time etc. can
be prepared with the developed scheme.
To summarize, the problem of integrated operation of a canal network considering
real-time spatial information is analyzed in this study. A distributed simulation scheme is
developed to study various operation scenarios for the canal system. Using remote sensing
and GIS for database generation and management, representation of geographic
characteristics of the command area has been made quite realistic. Using the simulation
scheme iteratively, optimization is performed to find the canal run configuration for least
requirement of pumping energy in the system. Using the geo-simulation scheme, the
operation of a canal network can be planned, eco-system of a command area can be
maintained, and energy demands for pumping groundwater can be optimized. The results of
the scheme can be presented in pictorial form for easy understanding. The scheme can be
used as a decision support tool for irrigation water management in command areas.