ASRWM: an arid/semiarid region water management model

Water shortage resulting from both natural conditions and human activities has been proved to be a bottleneck that chokes development in arid and semiarid regions. Systems analysis provides an effective way of clarifying conflicts between water supply and demand. In this study, an arid/semiarid region water management (ASRWM) model is developed for sound planning of a water resources system. The proposed model is founded on interval-fuzzy multiobjective programing (IFMOP) for effectively reflecting complexities of the study system and expediently facilitating solution of the model. Member-ship functions for modeling objectives and constraints are formulated to reflect uncertainties in different system components and their interrelationships. To evaluate the applicability of the proposed model, a case study for the Luopu County in northwestern China has been undertaken. The modeling outputs generated through scenario analyses are based on in-depth examination of several sensitive issues including farming, horticulture, stockbreeding, spring water allocation, pasture expansion, and land exploitation. The obtained results lead to two alternatives that provide an useful basis for formulating desired policies of sustainable development in the region. Through the case study, the proposed model is proved to have reasonable computational requirements and to be applicable to large-scale practical planning problems.

[1]  Guohe Huang,et al.  A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY , 1992 .

[2]  Guohe Huang,et al.  Grey Dynamic Programming for Waste‐Management Planning under Uncertainty , 1994 .

[3]  James W. Male,et al.  Model for Prescribing Ground‐Water Use Permits , 1992 .

[4]  America's Water Supply: Status and Prospects for the Future , 1995 .

[5]  Guohe Huang,et al.  Adaption to Climate Change through Water Trading under Uncertainty - An Inexact Two-Stage Nonlinear Programming Approach , 2003 .

[6]  John W. Labadie,et al.  Multiobjective Watershed-Level Planning of Storm-Water Detention Systems , 1997 .

[7]  S. M. Wu,et al.  An interactive inexact-fuzzy approach for multiobjective planning of water resource systems , 1997 .

[8]  Benjamin F. Hobbs,et al.  Irreversible Investment in Wetlands Preservation: Optimal Ecosystem Restoration Under Uncertainty , 2000 .

[9]  Ni-Bin Chang,et al.  Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming , 1995 .

[10]  Guohe Huang,et al.  Incorporation of Inexact Dynamic Optimization with Fuzzy Relation Analysis for Integrated Climate Change Impact Study , 1996 .

[11]  R. Słowiński,et al.  Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty , 1990, Theory and Decision Library.

[12]  Ning Zhang,et al.  Economic-Environmental System Planning for Arid Regions in China , 2002 .

[13]  Guohe Huang,et al.  A hybrid GIS-supported watershed modelling system: application to the Lake Erhai basin, China , 1999 .

[14]  K. Hipel Multiple objective decision making in water resources , 1992 .

[15]  K. Hipel MULTIPLE OBJECTIVE DECISION MAKING IN WATER RESOURCES FOREWORD , 1992 .

[16]  Ching-Gung Wen,et al.  Application of Multiobjective Programming to Water Quality Management in a River Basin , 1996 .

[17]  J. Alcamo,et al.  Global modeling and scenario analysis for the World Commission on Water for the 21st Century , 2017 .

[18]  Bin Chen,et al.  A MULTIOBJECTIVE APPROACH FOR INTEGRATED ENVIRONMENTAL ECONOMIC PLANNING UNDER UNCERTAINTY , 2000 .

[19]  H. Zimmermann Fuzzy programming and linear programming with several objective functions , 1978 .

[20]  Guohe Huang,et al.  A Stochastic Water Quality Forecasting System for the Yiluo River , 2003 .

[21]  H. Orth,et al.  A Combined Water Management Approach Based on River Water Quality Standards , 2004 .

[22]  Jack A. Jackson,et al.  Safety Risk Analysis of an Innovative Environmental Technology , 2001, Risk analysis : an official publication of the Society for Risk Analysis.