A Risk-Based Balance Inexact Optimization Model for Water Quality Management with Sustainable Wetland System Development—A Case Study of North China

Abstract

In this study, a risk-based balance inexact water resources optimization model for considering wetland ecological water demand and water quality problems, based on interval-parameter programming, fuzzy two-stage stochastic programming, and downside risk-aversion measure, is developed for regional water resources management in Nansihu Lake basin, Shangdong province, China. The developed model can tackle uncertainties described in terms of …