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Relative Entropy Method for Regional Allocation of Water Pollution Loading

Editor

Listed:
  • Ju-liang Jin
  • Yi-Ming Wei

  • Lin-yan Jing
  • Yan Guo

Abstract

Regional allocation of water pollution loading is an important measure for achieving general quality and quantity control, which key problem is allocating right weights to sub-regions. Information entropy method (IEM) is proposed to mine the objective variation information of sub-regions and experience information of decision makers during the allocation process. The research results show that IEM is concise and universal, so it can be widely applied to theory and practice of various systems engineering applications.

Suggested Citation

  • Ju-liang Jin & Yi-Ming Wei & Lin-yan Jing & Yan Guo (ed.), 2007. "Relative Entropy Method for Regional Allocation of Water Pollution Loading," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b22.
    • Handle: RePEc:biw:bookli:b22
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    File URL: https://link.springer.com/chapter/10.1007/978-3-540-72588-6_161
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    More about this item

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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