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Study on Eco-Safety Early-Warning and Assessment Index System of Hainan Province

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Ecosystem Assessment and Fuzzy Systems Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 254))

Abstract

To have a comprehensive evaluation on the safety of regional ecology, research is required within the fields of eco-safety and early warning on all relevant elements that affect the ecological environment of a given region. This should be complemented by research on influential elements based on regional characteristics and then followed by the construction of an eco-safety early-warning assessment index system. This article analyzes research findings of related ecological assessments and eco-safety problems of Hainan province in particular. With a focus on economic construction and sustainable development, this analysis reflects on economic, social, environmental, technological, and institutional factors and proposes an eco-safety early-warning assessment index system which suits Hainan’s ecological situation. This index system synthesizes Hainan’s natural resources, ecological situation, degree of pollution, and economic development and consists of five first-class indicators (low-carbon society, land resource safety, water resource safety, air resource safety, and biological species safety), ten second-class indicators (economy, society, environmental resources, technology, low carbon, system, arable land safety, forest safety, land pollution, etc.) and 90 third-class indicators.

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Acknowledgments

This work is supported by International Science & Technology Cooperation Program of China (2012DFA11270) and the Hainan International Cooperation Key Project (GJXM201105).

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Correspondence to Sheng-Quan Ma .

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© 2014 Springer International Publishing Switzerland

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Ma, SQ., Cao, Hh., Wang, Jx., Lin, S. (2014). Study on Eco-Safety Early-Warning and Assessment Index System of Hainan Province. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-03449-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03448-5

  • Online ISBN: 978-3-319-03449-2

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