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The application of information entropy in basin level water waste permits allocation in China
Institution:1. School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China;2. Tianjin Academy of Environmental Planning, Tianjin 300191, China;1. School of Engineering and Digital Arts University of Kent, Canterbury CT2 7NT, United Kingdom;2. Department of Electronics Engineering, Aligarh Muslim University, Aligarh 202002, UP, India;1. State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian 116024, China;2. Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China;1. State Key Laboratory of Pollution Control and Resource Reuse, School of The Environment, Nanjing University, Nanjing, 210093, PR China;2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, PR China;3. School of Government, Nanjing University, Nanjing, 210093, PR China;4. State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environmental Planning, Beijing, 100012, PR China
Abstract:The water waste discharge permits allocation among great river basins in national level is the firs step of national wide water waste management strategy and a key point of total mass control as well. The challenge is coming from the conflict between equality and efficiency. In this research, a new allocation method based on the conception of information entropy and maximum entropy method is introduced into the basin level wastewater permits allocation. Four indexes are chosen to compose a multi-criterion system in information entropy method (IEM) including, GDP, population, water environmental capacity and water resource quantity. The allocation of chemical oxygen demand (COD) in national basin level among the seven great river basins in China is illustrated as a case study.
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