Optimal water resource management for sustainable development of the chemical industrial park under multi-uncertainty and multi-pollutant control.

摘要: Two major concerns over the chemical industrial park (CIP) operations are high consumption of water resources and large amount pollutant emissions. This study develops an interval chance-constrained programming model for management (ICCP-IWM) with consideration multi-uncertainty multi-environmental constraints. Uncertainties expressed as intervals probability distributions merged in ICCP-IWM framework. The developed is used to solve a real-world resource problem Shenyang Chemical Industrial Park demonstrate its capacity effectiveness, where objective minimize system cost pathways pollutant-emission control under series Interval solutions respect allocation, wastewater management, emissions could be generated. Results indicate that lower violation risk leads increased strictness constraints, then higher cost; conversely, results cost, at expense increase risk. These findings would recommended by decision-makers because their applicability practical decision process providing optimal strategy sustainable multiple uncertainties.