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Postseismic Restoration of the Ecological Environment in the Wenchuan Region Using Satellite Data

Author

Listed:
  • Zhibin Huang

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100094, China)

  • Min Xu

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China)

  • Wei Chen

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China)

  • Xiaojuan Lin

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China
    College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100094, China)

  • Chunxiang Cao

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100101, China)

  • Ramesh P. Singh

    (School of Life and Environmental Sciences, Schmid College of Science and Technology, Chapman University, Orange, CA 92866, USA)

Abstract

Using Landsat remote-sensing data combined with geological information extracted from ALOS and Sentinel-1A radar data, the ecological environment was evaluated in the years 2007, 2008, 2013, and 2017 through gray correlation analysis on the basis of the construction of the pressure-state-response model. The main objective of this research was to assess the ecological environment changes in Wenchuan County before and after the earthquake, and to provide reference for future social development and policy implementation. The grading map of the ecological environment was obtained for every year, and the ecological restoration status of Wenchuan County after the earthquake was evaluated. The results showed that the maximum area cover at a “safe” ecological level was over 46.4% in 2007. After the 2008 earthquake, the proportion of “unsafe” and “very unsafe” ecological levels was 40.0%, especially around the Lancang River and the western mountain area in Wenchuan County. After five years of restoration, ecological conditions were improved, up to 48.0% in the region. The areas at “critically safe” and above recovered to 85.5% in 2017 within nine years after the deadly Wenchuan earthquake of May 12, 2008. In this paper, we discuss the results of detailed analysis of ecological improvements and correlation with the degrees of pressure, state, and response layers of the Pressure-State-Response (PSR) model.

Suggested Citation

  • Zhibin Huang & Min Xu & Wei Chen & Xiaojuan Lin & Chunxiang Cao & Ramesh P. Singh, 2018. "Postseismic Restoration of the Ecological Environment in the Wenchuan Region Using Satellite Data," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3990-:d:179731
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    References listed on IDEAS

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    1. Gong, Jian-zhou & Liu, Yan-sui & Xia, Bei-cheng & Zhao, Guan-wei, 2009. "Urban ecological security assessment and forecasting, based on a cellular automata model: A case study of Guangzhou, China," Ecological Modelling, Elsevier, vol. 220(24), pages 3612-3620.
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    Cited by:

    1. Yuan, Guanghui & Yang, Weixin, 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)," Energy, Elsevier, vol. 183(C), pages 926-935.
    2. Congjian Sun & Xiaoming Li & Wenqiang Zhang & Xingong Li, 2020. "Evolution of Ecological Security in the Tableland Region of the Chinese Loess Plateau Using a Remote-Sensing-Based Index," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    3. Yuangang Li & Maohua Sun & Guanghui Yuan & Qi Zhou & Jinyue Liu, 2019. "Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

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