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Analysis of Ecological Quality of the Environment and Influencing Factors in China during 2005–2010

Author

Listed:
  • Shi-Xin Wang

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

  • Yao Yao

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    Graduate School of Chinese Academy of Sciences, Beijing 10049, China)

  • Yi Zhou

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

Abstract

Since the twentieth century, China has been facing various kinds of environmental problems. It is necessary to evaluate and analyze the ecological status of the environment over China, which is of great importance for environmental protection measures. In this article, an Eco-environmental Quality Index (EQI) model is established using national remote sensing land-use data, NDVI data from MODIS and other statistical data. The model is used to evaluate the ecological status over China during 2005, 2008 and 2010, and spatial and temporal variations in EQI are analyzed during the period 2005–2010. We also discuss important factors affecting ecological quality, with special emphasis on meteorological conditions (including rainfall and sunshine duration) and anthropogenic factors (including normalized population and gross domestic product densities). The results show that, EQIs in northwestern China are generally lower than those in the southeast of the country, presenting a ladder-like distribution. There is significant correlation between EQI, rainfall and sunshine duration. Population density and GDP also have some relation to EQI. On the whole, the environmental quality results showed little variation during 2005–2010, with national average EQIs of 54.86, 55.07 and 54.43 in 2005, 2008 and 2010, respectively. During 2005–2010, differences in EQI were observed at the local level, but those at the provincial level were small.

Suggested Citation

  • Shi-Xin Wang & Yao Yao & Yi Zhou, 2014. "Analysis of Ecological Quality of the Environment and Influencing Factors in China during 2005–2010," IJERPH, MDPI, vol. 11(2), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:2:p:1673-1693:d:32678
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    References listed on IDEAS

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    1. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    2. van Vuuren, D. P. & Smeets, E. M. W., 2000. "Ecological footprints of Benin, Bhutan, Costa Rica and the Netherlands," Ecological Economics, Elsevier, vol. 34(1), pages 115-130, July.
    3. Xiaohuan Yang & Hanqing Ma, 2009. "Natural Environment Suitability of China and Its Relationship with Population Distributions," IJERPH, MDPI, vol. 6(12), pages 1-15, December.
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    Cited by:

    1. Ziqi Meng & Min Liu & Qiannan She & Fang Yang & Lingbo Long & Xia Peng & Ji Han & Weining Xiang, 2018. "Spatiotemporal Characteristics of Ecological Conditions and Its Response to Natural Conditions and Human Activities during 1990–2010 in the Yangtze River Delta, China," IJERPH, MDPI, vol. 15(12), pages 1-16, December.
    2. Chan Lu & Lei Shi & Lihua Fu & Simian Liu & Jianqiao Li & Zhenchun Mo, 2023. "Urban Ecological Environment Quality Evaluation and Territorial Spatial Planning Response: Application to Changsha, Central China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    3. Shujie Zhang & Zhengzheng Wei & Wenliang Liu & Ling Yao & Wenyu Suo & Jingjing Xing & Bingzhao Huang & Di Jin & Jiansheng Wang, 2015. "Indicators for Environment Health Risk Assessment in the Jiangsu Province of China," IJERPH, MDPI, vol. 12(9), pages 1-13, September.
    4. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.

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