In recent years, water shortages and unreliable water supplies have been considered as
major barriers to agricultural irrigation water management in China, which are threatening …

A risk-based interval-stochastic optimization modelling approach is developed for
agricultural water allocation in response to the complexity arising from uncertainties and risk …

In this study, an inexact two-stage water management (ITWM) model is developed for
planning agricultural irrigation in the Zhangweinan River Basin, China. The ITWM model is …

In this study, an inexact CVaR (conditional value-at-risk) two-stage mixed-integer linear
programming (ICTMLP) approach is developed for agricultural water management under …

Rapid population growth and economy development have led to increasing reliance on
water resources. It is even aggravated for agricultural irrigation systems where more water is …

In this study, a risk aversion based interval stochastic programming (RAIS) method is
proposed through integrating interval multistage stochastic programming and conditional …

In this study, an interval-parameter fuzzy-stochastic two-stage programming (IFSTP)
approach is developed for irrigation planning within an agriculture system under multiple …

In this paper, an inexact two-stage stochastic programming model was developed for
supporting regional water resource allocation management under uncertainties. The …

In this study, a nonlinear inexact two-stage management (NITM) model is proposed for
optimal agricultural irrigation water management problems under uncertainty conditions …

In this study, a Monte Carlo simulation based dual-interval stochastic programming (MC-
DSP) method is developed for assessment of uncertainty effects on crop planning and …