An inexact stochastic-fuzzy optimization model for agricultural water allocation and land resources utilization management under considering effective rainfall. (September 2018)

• Record Type: Journal Article
• Authors: Xie, Y.L.; Xia, D.X.; Ji, L.; Huang, G.H.
• Is Part Of: Ecological indicators. Volume 92(2018)
• Page Start: 301
• Page End: 311
• Publication Date: 2018-09
• Subjects: Land resources utilization -- Agricultural water management -- Inexact stochastic-fuzzy programming -- Imprecise crops water consumption -- Random effective rainfall; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2017.09.026
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: Inexact stochastic-fuzzy programming model for agricultural water resources and land utilization management. Surface water and groundwater, land resources, random effective rainfall, and imprecise crops water requirements are considered. Land area and water resources allocation schemes, and system benefit were analyzed. Multiple uncertainties were reflected as discrete intervals and stochastic-fuzzy information. Abstract: Agricultural water management faces challenges from ecological environment stress (e.g. water scarcity issues, land resources pressure, and climate conditions) and uncertainties exist among multifarious activities in agricultural water resources management systems. In this study, an inexact stochastic-fuzzy programming model was proposed for irrigation water resources allocation and land resources utilization management under considering multiple uncertainties. In the model, uncertainties can be directly integrated into the optimization process through reflecting parameters and coefficients as interval values, fuzzy sets, random variables, and their combinations. The developed method is applied to planning irrigation water resources allocation and cropland pattern under considering the limited surface water and groundwater, the random effective rainfall, and the imprecise crops water requirements in Jining City. A number of scenarios corresponding to different fuzzy probability of violating constraint are examined in order to obtain the best management program under various scenarios, and search reasonable tradeoffs between varied system benefit and system-failure risk. The results indicated that agricultural water allocation is explicitly affected by uncertainties expressed as randomness and fuzziness, and the results are valuable for supporting the adjustment or justification of the existing water resources management schemes and a desired land utilization plan for regions socioeconomic development under uncertainty.