Optimal multicrop allocation of seasonal and intraseasonal irrigation water

Abstract

The problem of allocation of a limited water supply for irrigation of several crops grown in the same season is addressed. Both seasonal and intraseasonal competition for water between crops are considered. Since intraseasonal irrigation decisions are not independent, the allocation problem is solved in a dynamic framework by decomposition to two levels, seasonal and intraseasonal competition for water. A single crop irrigation scheduling model provides the input to the models at both levels. The optimization models at the two levels and the single crop model are solved by dynamic programming. Economic coefficients, crop areas, and crop growth stage stress effects are included in the mathematical formulation at both levels. The final output is an implementable set of weekly irrigation programmes of individual crops. Results of model application to a two crop situation are presented.

Optimal reservoir operation for irrigation of multiple crops using elitist-mutated particle swarm optimization

“…The present study uses an empirical equation for calculating the deep percolation component (Rao et al, 1990;Paul et al, 2000), which is given by:…”

“…To achieve this, an effective reservoir operation model for irrigation should consider decisions both at reservoir level and at farm level. As it is a usual practice in many farming communities to grow several crops within a season, the actual model should also consider the multicrop situation (Rao et al, 1990;Vedula & Nagesh Kumar, 1996). In water scarce conditions, for irrigation of multiple crops, there is always competition among the crops for the limited amount of water available.…”

“…Rao et al (1990) developed a model for optimal weekly irrigation scheduling policy for two crops, considering both seasonal and intraseasonal competition for water. Vedula & Mujumdar (1992) formulated a model to obtain a steady state optimal reservoir operating policy for irrigation of multiple crops with stochastic inflows by first using dynamic programming (DP) to optimally allocate the available water among all crops within a given period, and then evaluating the system performance using SDP to optimize the benefits over a full year.…”

“…For optimal allocation of irrigation water, models were developed based on stochastic dynamic programming (SDP) for a single crop situation (for example, Dudley et al, 1971;Dudley & Burt, 1973;Bras & Cordova, 1981) and for a multicrop situation (for example, Rao et al, 1990;Vedula & Mujumdar, 1992;Vedula & Nagesh Kumar, 1996). Rao et al (1990) developed a model for optimal weekly irrigation scheduling policy for two crops, considering both seasonal and intraseasonal competition for water.…”

Performance-Based Optimization of Land and Water Resources within Irrigation Schemes. I: Method

“…optimizing productivity (Matanga and Marino 1979;Yaron and Dinar 1982;Loftis and Houghtalen 1987;Bernardo et al 1988;Abderrahman et al 1989;Hiessl and Plate 1990;Rao et al 1990;Vedula and Mujumdar 1992;Mannocchi and Mecarelli 1994;Akhand et al 1995;Mainuddin et al 1996;Sunantara and Ramirez, 1997;Wardlaw and Barnes 1999;Paul et al 2000 andSahoo et al 2001). The models used in these studies were of single field type.…”