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Environmental Geochemistry and Health

, Volume 41, Issue 6, pp 2665–2679 | Cite as

Research on ecological risk assessment in land use model of Shengjin Lake in Anhui province, China

  • Liang Peng
  • Bin DongEmail author
  • Ping Wang
  • Shuwei Sheng
  • Li Sun
  • Lei Fang
  • Haoran Li
  • Liping Liu
Original Paper

Abstract

Shengjin Lake is a typical lake-type wetland in the lower of the Yangtze River, which is also an important national nature reserve in China. It is of great significance to evaluate the ecological risk of land use for promoting the coordinated development of land use and ecological environment. In this paper, according to the TM remote sensing images of Shengjin Lake wetland in Anhui province in 1986, 2002 and 2016, we used supervised classification method to divide the Shengjin Lake reserve into eight types of land use, and then we acquire land use information after the statistics of land utilization type and area, so as to analyze land use ecological risk indicator factors. Then we used analytic hierarchy process to calculate the weight of each index factor and established the land use ecological risk assessment index system. On this basis, the model of ecological risk assessment of land use was established by hierarchical analysis and fuzzy mathematics. The results showed that the overall ecological risk of Shengjin Lake wetland was intermediate in rank, from 1986 to 2016, the ecological risk of land use increased. Among them, the land use ecological risk index of the core area was relatively low, but it also showed a gradually increasing trend. The ecological risk index of the experimental area was higher. The ecological risk index of the buffer area changed obviously, and the ecological risk was serious.

Keywords

Wetland Land use Ecological risk Evaluation model Shengjin Lake 

Notes

Acknowledgements

This paper was funded by the project of LUCC in Anhui Province (2011-k-23; 2012-k-24; 2013-k-09); and the fund project of Anhui Agricultural University (wd2011-07; yj2012-03); and the project of the forest and land resources research in Anhui Province (KJ2012Z108); National Natural Science Foundation of China (41571101).

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Liang Peng
    • 1
  • Bin Dong
    • 1
    Email author
  • Ping Wang
    • 1
  • Shuwei Sheng
    • 1
  • Li Sun
    • 1
  • Lei Fang
    • 1
  • Haoran Li
    • 1
  • Liping Liu
    • 2
  1. 1.School of ScienceAnhui Agricultural UniversityHefeiChina
  2. 2.Faculty of Science and Environmental StudiesLakehead UniversityThunder BayCanada

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