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Performance-based optimization of land and water resources within irrigation schemes I: Method

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journal contribution
posted on 2008-09-24, 10:25 authored by S.D. Gorantiwar, Ian Smout, Kalanithy Vairavamoorthy
Optimum land and water allocation to different crops grown in different regions of an irrigation scheme is a complex process, especially when these irrigation schemes are characterized by different soils and environment and by a large network of canals. At the same time if the water supply in the irrigation schemes is limited, there is a need to allocate water both efficiently and equitably. This paper describes the approach to include both productivity (efficiency) and equity in the allocation process and to develop the allocation plans for optimum productivity and/or maximum equity for such irrigation schemes. The approach presented in this paper considers the different dimensions of equity such as water distribution over the season, water distribution during each irrigation, benefits generated. It also includes distribution and conveyance losses while allocating water equitably to different allocation units. This paper explains the approach with the help of Area and Water Allocation Model (AWAM) which uses the simulation-optimization technique for optimum allocation of land and water resources to different crops grown in different allocation units of the irrigation scheme.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Citation

GORANTIWAR, S.D., SMOUT, I.K. and VAIRAVAMOORTHY, K., 2006. Performance-based optimization of land and water resources within irrigation schemes I: Method. Journal of Irrigation and Drainage Engineering, 132(4). pp. 332-340. [DOI: 10.1061/(ASCE)0733-9437(2006)132:4(332)]

Publisher

© American Society of Civil Engineers

Publication date

2006

Notes

This is a journal article. The published version is at ASCE Civil Engineering Database (http://oedb.asce.org)

ISSN

0733-9437

Language

  • en

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