Abstract
In this study, an inexact two-stage stochastic programming (ITSP) model was developed for supporting water resources allocation for the four main water use sectors (industry, municipal, environmental, and agriculture) and total amount control of the pollutant emissions. The Yinma River Basin in northeast China was selected for a case study. A number of scenarios corresponding to different flow levels were examined. The flow levels reflect different probabilities of water resource availability and environmental carrying capacity. The results revealed that the optimal allocation strategies for each sector depend on water resource carrying capacity, wastewater treatment capacity, the total amount of regional control, and the water environment carrying capacity. Water ecology projects were identified that are needed to treat contaminated water and to address the insufficient carrying capacity for pollutant emissions generated in water-using processes. The results will be helpful for establishing sensible water management systems that integrate the development and utilization of water resources and protect the environment, and for providing a basis for water pollution prevention plans, the model can be used to guide management interventions to improve the water environment by regional pollutant emission control and the improvement of carrying capacity in the Yinma River Basin.
Highlights
Water resources play an essential role in human survival, sustainable socioeconomic development, and the eco-environment [1]
An inexact two-stage stochastic programming (ITSP) model was developed for the management of water resources and environmental carrying capacity under uncertainties
The proposed model can simultaneously deal with uncertainties presented as interval values and probability distributions by integrating the interval-parameter programming (IPP) and two-stage stochastic programming (TSP) methods
Summary
Water resources play an essential role in human survival, sustainable socioeconomic development, and the eco-environment [1]. There are many uncertainties in the water environment system, such as the variability in the availability of water resources, variability in the development of technology, variability of demand, and the complexity of the interconnected processes (e.g., water utilization, recycling, wastewater treatment, and discharge) [6]. These uncertainties generate enormous challenges for water resources allocation and water quality management. Water management issues that need to be optimized include water resources allocation and utilization, water quality management, environmental protection, and regional development
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