Research Repository

Sectoral conjunctive use planning for optimal cropping under hydrological uncertainty

Raul, Sanjay and Panda, Sudhindra N and Inamdar, P. M (2012) Sectoral conjunctive use planning for optimal cropping under hydrological uncertainty. Journal of Irrigation and Drainage Engineering, 138 (2). pp. 145-155. ISSN 0733-9437 (print), 1943-4774 (online)

Full text for this resource is not available from the Research Repository.

Abstract

The rising demand for water, specifically for irrigated agriculture, which consumes nearly 80% of the world’s developed water resources (Wolff and Stein 1999), has brought new challenges to water resources planners and managers. A major part of the consumable water resources exists as groundwater. Sustainability of irrigated agriculture, therefore, demands either the development of additional water resources or efficient management of the available water resources under the existing scenarios. Shortages of surfacewater supplies necessitate the development of groundwater in many canal commands that can be used optimally in conjunction with surface supplies. The joint use and management of surface-water and groundwater resources to maximize reliable supply and minimize damage to the quantity or quality of the resources is known as conjunctive use (Hanson et al. 2010). Conjunctive-use management has been the most suitable alternative for optimum utilization of available land and water resources.

Item Type: Article
Uncontrolled Keywords: ResPubID24921, linear programming, irrigation scheduling model, optimal cropping, hydrologic uncertainty, conjunctive use, sectoral planning irrigated command, dated production function
Subjects: FOR Classification > 0701 Agriculture, Land and Parks Management
FOR Classification > 0905 Civil Engineering
Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 13 Dec 2012 01:06
Last Modified: 04 Mar 2015 05:46
URI: http://vuir.vu.edu.au/id/eprint/10392
DOI: 10.1061/(ASCE)IR.1943-4774.0000393
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar