Comprehensive assessment of marine ecological environment based on entropy weight model

• Autorzy: Li Y. , Zhao L. , Suo J.
• Języki publikacji: EN

Abstrakty

EN

In order to overcome the defects of stronger subjectivity of common assessment methods of marine ecological environmental assessment, the entropy weight model was introduced. In the comprehensive assessment, because of different influence degrees of each index to the comprehensive assessment results, different improved measures can be adopted to increase policy ability. As Shannon information entropy has the advantages of objectivity and adaptability in determining weight value, it was applied to determine the weight value of each index in the comprehensive assessment model. Then the optimal and worst indexes were selected based on a double base point model. Through comparing the distance between the scheme point and double base points, the result of comprehensive assessment can be obtained. Then the model was employed to assess the ecological environment of a bay of China. Application results show the efficiency of this method.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2015
• Tom: 24
• Numer: 1
• Opis fizyczny: p.151-155,ref.

Twórcy

autor

Li Y.

• Hebei University of Engineering, Handan 056038, China

autor

Zhao L.

• Hebei University of Engineering, Handan 056038, China

autor

Suo J.

• Hebei University of Engineering, Handan 056038, China

Bibliografia

• 1. DOUVERE F., EHLER C. N. New perspectives on sea use management: Initial finding from European experience with marine spatial planning. Journal of Environment Management 90, (1), 77, 2009.
• 2. ZHAND K., WEN Z. Review and challenges of policies of environmental protection and sustainable development in China. Journal of Environmental Management 88, (4), 1249, 2008.
• 3. PANWAR N. L., KAUSHIK S. C., KOTHARI S. Role of renewable energy sources in environmental protection: A review. Renewable and Sustainable Energy Reviews 15, (3), 1513, 2011.
• 4. CHARLES A., WILSON L. Human dimensions of marine protection areas. ICES Journal of Marine Science 66, (1), 6, 2009.
• 5. FODEN J., ROGERS S. I., JONES A. P. A critical review of approaches to aquatic environmental assessment. Marine Pollution Bulletin 56, (11), 1825, 2008.
• 6. LYONS B. P., THAIN J. E., STENTIFORD G. D., HYLLAND K., DAVIES I. M., VETHAAK A. D. Using biological effects tools to define good environmental status under the European Union marine strategy framework directive. Marine Pollution Bulletin 60, (10), 1647, 2010.
• 7. JENNINGS S. The role of marine protected areas in environmental management. ICES Journal of Marine Science 66, (1), 16, 2009.
• 8. TIAN X., JU M., SHAO C., FANG Z. Developing a new grey dynamic modeling system for evaluation of biology and pollution indicators of marine environment in coastal areas. Ocean & Coastal Management 54, (10), 750, 2011.
• 9. BORJA A., DAUER D. M., GREMARE A. The importance of setting targets and reference conditions in assessing marine ecosystem quality. Ecological Indicators 12, (1), 1, 2012.
• 10. BORJA A., RANASINGHE A., WEISBERG S. B. Assessing ecological integrity in marine waters, using multiple indices and ecosystem components: Challenges for the future 59, (1-3), 1, 2009.
• 11. BORJA A., ELLIOTT M., CARSTENSEN J., HEISKANEN A.-S., VANDE BUND W. Marine management-towards an integrated implementation of the European marine strategy framework and the water framework directives. Marine Pollution Bulletin 60, (12), 2175, 2010.
• 12. SCHULZ MACEDO H., VIVACQUA M., LIMA RODRIGUES H. C., CAVALERII GERHARDINGER L. Governing wide coastal-marine protected territories: A governance analysis of the baleia franca environmental protection area in South Brazil. Marine Policy 41, 118, 2013.
• 13. MA C., ZHANG X., CHEN W., ZHANG G., DUAN H., JU M., LI H., YANG Z. Ocean & Coastal Management 76, 1, 2013.
• 14. WANG T., LEE H. Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert Systems with Application 36, (5), 8980, 2009.
• 15. WU J., SUN J., LIANG L., ZHA Y. Determination of weights for ultimate cross efficiency using Shannon entropy. Expert Systems with Application 38, (5), 5162, 2011.
• 16. CHEN T., LI C. Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis. Information Sciences 180, (21), 4207, 2010.
• 17. LIU P., HAN Z. A fuzzy multi-attribute decision-making method under risk with unknown attribute weights. Technological and Economic Development of Economy 2, 146, 2011.
• 18. XIA X., CUI J. Improved TOPSIS multiindex and multiproject sequencing method. Operations Research and Management Science 15, (5), 17, 2006.
• 19. HU J. Research on ecological environment comprehensive assessment methods for coast marine area. Dalian University of Technology, China, 2007.