Modeling irrigated agricultural production and water use decisions under water supply uncertainty

Abstract

1] Farmers make joint water and land use decisions for economic purposes based in part on water availability and reliability. A two-stage economic production model is developed to examine the effects of hydrologic uncertainty and water prices on agricultural production, cropping patterns, and water and irrigation technology use. The model maximizes net expected farm profit from permanent and annual crop production with probabilistic water availability and a variety of irrigation technologies. Results demonstrate effects of water availability, price, and reliability on economic performance, annual and long-run cropping patterns, and irrigation technology decisions. Variations in water price and availability affect the desirability of different irrigation technologies. Increased water supply reliability can raise the probability of higher economic returns and promote more effective use of water for permanent crops. Such economic benefits can be compared to costs of operational changes and programs to increase water supply reliability for agricultural areas.Citation: Marques, G. F., J. R. Lund, and R. E. Howitt (2005), Modeling irrigated agricultural production and water use decisions under water supply uncertainty, Water Resour. Res., 41, W08423,

Analysis of Factors that Influence the Willingness to Pay for Irrigation Water in the Kurdistan Regional Government, Iraq

“…Farmers try to optimize water allocation among challenging crops and irrigation technologies to maximize production and farm revenue [13]. Policies related to the management of water resources are a current problem throughout the world [14][15][16] Current water policies treat water as an economic good, yet water shares a number of characteristics with other resources, like life and politics.…”

Stochastic multiobjective optimization model for allocating irrigation water to paddy fields

“…The 30-year flow data of the Chia-Nan region in Southern Taiwan are treated stochastically. Marques et al (2005) developed a two-stage economic production model to examine the effects of hydrologic uncertainty and water prices on agricultural production, cropping patterns, and water and irrigation technology use. The model maximizes net expected farm profit from permanent and annual crop production with probabilistic water availability and a variety of irrigation technologies.…”

Irrigation management: the optimization perspective

“…Two problems can be analysed here: ones where the cropping pattern is previously defined, and others where the cropping patterns are to be defined. The first situation gives rise to the water allocation models (Rao et al [28], Hiessl and Plate [11], Paudyal and Manguerra [25], Vedula and Mujumbar [36], Wardlaw and Barnes [37], Kipkorir et al [14]), and the second situation gives rise to the land and water allocation models (Matanga and Mariño [23], Kumar and Khepar [17], Yaron and Dinar [38], Rao et al [27], Manocchi and Mecarelli [19], Sahoo et al [30], Marques et al [21], Smout and Gorantiwar [32], Gorantiwar and Smout [8]). …”

“…Multicrop situations were dealt with by Sunantara and Ramirez [33] in an optimal seasonal irrigation water allocation and an optimal stochastic intraseasonal (daily) irrigation scheduling model, by Vedula and Nagesh Kumar [35] in the context of a single purpose irrigation reservoir, and by Rao et al [28] that used heuristically derived seasonal crop-water production functions. Marques et al [21] have described a two-stage stochastic quadratic programming technique for taking decisions on perennial and annual crops, water use, irrigation technologies and economic performance.…”