An Optimization Model for Water Management Based on Water Resources and Environmental Carrying Capacities: A Case Study of the Yinma River Basin, Northeast China

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.

[1]  G H Huang,et al.  An inexact mixed risk-aversion two-stage stochastic programming model for water resources management under uncertainty , 2014, Environmental Science and Pollution Research.

[2]  J. Nunes,et al.  Potential Impact of Climate Change on Suspended Sediment Yield in NW Spain: A Case Study on the Corbeira Catchment , 2016 .

[3]  Guohe Huang,et al.  Development of an inexact two-stage stochastic model with downside risk control for water quality management and decision analysis under uncertainty , 2014, Stochastic Environmental Research and Risk Assessment.

[4]  Junye Wang,et al.  Assessing climate change impacts on fresh water resources of the Athabasca River Basin, Canada. , 2017, The Science of the total environment.

[5]  Guo H. Huang,et al.  An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty , 2005, Eur. J. Oper. Res..

[6]  A. Zabaleta,et al.  Simulation climate change impact on runoff and sediment yield in a small watershed in the basque country, northern Spain. , 2014, Journal of environmental quality.

[7]  L. Ran,et al.  Redressing China’s Strategy of Water Resource Exploitation , 2013, Environmental Management.

[8]  Florent Chazarenc,et al.  Artificial aeration to increase pollutant removal efficiency of constructed wetlands in cold climate , 2006 .

[9]  Ming Hu,et al.  An Interval-parameter Fuzzy Robust Nonlinear Programming Model for Water Quality Management , 2013 .

[10]  K. Abbaspour,et al.  Modelling blue and green water resources availability in Iran , 2009 .

[11]  Guohe Huang,et al.  Interval-parameter chance-constrained fuzzy multi-objective programming for water pollution control with sustainable wetland management , 2012 .

[12]  Y. F. Li,et al.  An inexact two-stage stochastic programming model for water resources management in Nansihu Lake Basin, China. , 2013, Journal of environmental management.

[13]  Guohe Huang,et al.  Inexact two-stage stochastic robust optimization model for water resources management under uncertainty. , 2009 .

[14]  Dong Liu,et al.  The Application of a Water Rights Trading Model Based on two-Stage Interval-Parameter Stochastic Programming , 2016, Water Resources Management.

[15]  Jun Xia,et al.  Water resources vulnerability and adaptive management in the Huang, Huai and Hai river basins of China , 2012 .

[16]  Hugh Ellis,et al.  STOCHASTIC DYNAMIC PROGRAMMING MODELS FOR WATER QUALITY MANAGEMENT , 1993 .

[17]  Guohe Huang,et al.  A Hybrid Dynamic Dual Interval Programming for Irrigation Water Allocation under Uncertainty , 2012, Water Resources Management.

[18]  Y. Xu,et al.  Climate Change Impacts on Flow and Suspended Sediment Yield in Headwaters of High-Latitude Regions—A Case Study in China’s Far Northeast , 2017 .

[19]  M. Bierkens,et al.  Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers , 2017, Nature.

[20]  Michael Rode,et al.  Hydrology and Earth System Sciences Uncertainties in Selected River Water Quality Data , 2022 .

[21]  W. Li,et al.  An integrated ecological floating-bed employing plant, freshwater clam and biofilm carrier for purification of eutrophic water , 2010 .

[22]  K. Abbaspour,et al.  Modeling impacts of climate change on freshwater availability in Africa , 2013 .

[23]  Adrien Wanko,et al.  Mitigation of agricultural nonpoint-source pesticide pollution in artificial wetland ecosystems , 2009 .

[24]  Junye Wang,et al.  Predicting sediment yield and transport dynamics of a cold climate region watershed in changing climate. , 2018, The Science of the total environment.

[25]  Guohe Huang,et al.  AN INEXACT TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR WATER RESOURCES MANAGEMENT UNDER UNCERTAINTY , 2000 .

[26]  Bing Shen,et al.  Interval Two-Stage Stochastic Integer Programming for Urban Water Resource Management under Uncertainty , 2015 .

[27]  L. Zhang,et al.  An Inexact Two-Stage Water Resources Allocation Model for Sustainable Development and Management Under Uncertainty , 2014, Water Resources Management.

[28]  K. Lindenschmidt,et al.  Impacts of Climate Change on the Water Quality of a Regulated Prairie River , 2017 .

[29]  R. Kerachian,et al.  An Interval Parameter Model for Cooperative Inter-Basin Water Resources Allocation Considering the Water Quality Issues , 2012, Water Resources Management.

[30]  Guohe Huang,et al.  Inexact Two-Stage Stochastic Programming for Water Resources Allocation under Considering Demand Uncertainties and Response—A Case Study of Tianjin, China , 2017 .

[31]  Jianxun He,et al.  Riverine Water Quality Response to Precipitation and Its Change , 2018 .

[32]  Guohe Huang,et al.  Optimal water resource planning under fixed budget by interval-parameter credibility constrained programming , 2011 .