An inexact multi-objective programming model for water resources management in industrial parks of Binhai New Area, China

Abstract

In recent years, Binhai New Area of Tianjin has been suffering severe water shortage due to climate change and industrial activities. Integrated and effective water resources management approaches are urgent for the sustainable development of industrial parks in Binhai New Area. However, uncertainties exist in many aspects of the water resources system and are inevitably problematic for water resources planning and policy-making. To address these uncertainties, an interval multiple-objective programming model was developed here to support the long-term planning of industrial water resources management in Binhai New Area, Tianjin, China. The model incorporated both multiple-objective programming and interval linear programming into a general programming framework. The developed model could handle the uncertainties and complexities of the water management system, and also allowed decision makers to adjust fuzzy objective control decision variables to satisfy multiple holistic and interactive objectives. The solutions are useful for planning adjustments of the existing water allocation patterns in Binhai New Area.

Industrial water resources management based on violation risk analysis of the total allowable target on wastewater discharge

“…Li et al . 33 proposed an interval multi-objective programming model to support the long-term industrial water resources management in Binhai New Area, Tianjin, China. Concurrently, it is economically and technically infeasible to maintain zero discharge of industrial wastewater.…”

Recent Developments in the Application of Water Resource Dispatching Systems in China

“…The latter method focuses on optimization and plays a diverse role in terms of solving methods, which include two main categories. The first is a mathematical programming analysis method, comprising linear programming [28,29], nonlinear programming [30,31], dynamic programming [32,33], and the coordinated decomposition of large-scale systems [34,35]. The other is an intelligent optimization algorithm, including fuzzy mathematics [36,37], genetic algorithm [38,39], neural network algorithm [40,41], and chaos theory [42].…”

Unconventional Water Use Allocation in Harbin, China

“…Liu Yu studied Tianjin's current situation of unconventional water use and, through the analysis of water resource utilization pathways and water estimation, came to the conclusion that the amount of rainwater and renewable water resources available can fully satisfy the suitable ecological water demand of the coastal estuary. She then proposed measures for ecological water replenishment of the coastal estuary [24]. Gao Chuanchang examined how reclaimed water, rainwater, seawater, and brackish water are currently used domestically and internationally and offered recommendations for China's unconventional water resource use [25].…”