Volume 10 Issue 6
Nov.  2020
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FAN Xiaoshan, HE Ping, XU Jie, REN Ying, HOU Liping. Research progress of eco-environmental early warning in China[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 996-1006. doi: 10.12153/j.issn.1674-991X.20190212
Citation: FAN Xiaoshan, HE Ping, XU Jie, REN Ying, HOU Liping. Research progress of eco-environmental early warning in China[J]. Journal of Environmental Engineering Technology, 2020, 10(6): 996-1006. doi: 10.12153/j.issn.1674-991X.20190212

Research progress of eco-environmental early warning in China

doi: 10.12153/j.issn.1674-991X.20190212
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  • Corresponding author: HE Ping E-mail: heping@craes.org.cn
  • Received Date: 2019-12-16
  • Rev Recd Date: 2020-07-15
  • Publish Date: 2020-11-20
  • The fundamental principles, research contents and methods of eco-environmental early warning were systematically analyzed and summarized by reviewing the research process of eco-environmental early warning in China. The results showed that the research fields covered the eco-environmental elements and ecosystems, human habitation and industrial economy, river basins and different levels of administrative districts; however, the current researches were difficult to support the national and local ecological security needs, due to the limited accumulation of basic theories and key technologies research results, unreasonable research contents and imperfect research technology and method system. It was proposed that the construction of basic theory should be strengthened, covering the important research contents such as the identification, diagnosis, development and driving mechanism of the problems of ecological security. Moreover, the development characteristics of different types of ecological risks in time and space should be highly considered, and the multi-scale research techniques should be used for obtaining comprehensive data information to enrich the research details and improving the accuracy of eco-environmental early warning, and then the eco-environmental early warning research system should be perfected to provide supports for regional eco-environment management.

     

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