In this study, an inexact two-stage stochastic downside risk-aversion programming is
developed for regional industrial water resources allocation under considering system return …

In this study, a new concept concerning comprehensive characteristics of water resources
utilization as an index for risk modeling within the water allocation management model is …

Uncertainties exist in the water resources system, while traditional two-stage stochastic
programming is risk-neutral and compares the random variables (eg, total benefit) to identify …

In order to control the discharge of regional total pollutants in the region and improve the
ability of water environment management and decision making, a multi-objective decision …

To optimize the water distribution of three industries based on the water demand prediction
under multiple uncertainties, a fuzzy credibility-constrained interval two-stage stochastic …

Water resource allocation aimed at sustainable watershed development suffers from
prominent challenges such as water pollution and scarcity, especially in water-deprived …

In this study, an inexact two-stage allocation model is put forward for supporting decisions of
water resource planning and management. Two processes and three phases with the …

Water quality management along rivers involves making water-allocation plans, establishing
water quality goals, and controlling pollutant discharges, which is complicated itself but …

In this study, an inexact chance-constrained waste-load allocation (ICWA) model is
proposed for supporting river quality management under uncertainty that is capable of …

In order to deal with the risk of low system stability and unbalanced allocation during water
resources management under uncertainties, a risk-averse inexact two-stage stochastic …