Y.P. Li

TL;DR: In this article, an interval-parameter multi-stage stochastic linear programming (IMSLP) method has been developed for water resources decision making under uncertainty, where penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water allocation targets are violated.

TL;DR: In this paper, an integrated optimization method is developed for supporting agriculture water management and planning in Tarim River Basin, Northwest China, where two-stage stochastic programming (TSP) with inexact quadratic program (IQP) is used for forecasting the available irrigation water.

TL;DR: Targeted incomes, recourse costs, and net system benefits under different scenarios are analyzed, which indicates that different policies for agricultural irrigation targets correspond to different water shortages and surplus, and thus lead to varied system benefit and system-failure risk.

TL;DR: In this article, an interval-parameter two-stage stochastic nonlinear programming (ITNP) method is developed for supporting decisions of water-resources allocation within a multi-reservoir system.

TL;DR: In this article, a multistage water allocation model is developed for agricultural water management and cropland use planning in response to the complexities of fluctuating water availabilities and demands, varying crop yields and economic profits.