Sectoral conjunctive use planning for optimal cropping under hydrological uncertainty

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

Raul, Sanjay, Panda, Sudhindra N and Inamdar, Prasad Mohanrao (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)

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.

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/10392
DOI 10.1061/(ASCE)IR.1943-4774.0000393
Official URL http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.00003...
Subjects Historical > FOR Classification > 0701 Agriculture, Land and Parks Management
Historical > FOR Classification > 0905 Civil Engineering
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Keywords ResPubID24921, linear programming, irrigation scheduling model, optimal cropping, hydrologic uncertainty, conjunctive use, sectoral planning irrigated command, dated production function
Citations in Scopus 8 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login