Journal of Ecology and Rural Environment ›› 2019, Vol. 35 ›› Issue (3): 316-323.doi: 10.19741/j.issn.1673-4831.2018.0574

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Study on Evaluation and Driving Forces of Ecological Changes in Jinghe County, Xinjiang

WANG Li-chun1,2, JIAO Li1,2, LAI Feng-bing1,2, DAI Peng-chao3   

  1. 1. Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Xinjiang Normal University, Urumqi 830054, China;
    2. College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China;
    3. Urumqi Meteorological Satellite Ground Station, Urumqi 830011, China
  • Received:2018-09-18 Online:2019-03-25 Published:2019-04-25

Abstract:

Based on the Landsat remote sensing images from 1994, 2002, and 2016, the ecological environment quality of Jinghe County was studied by using the remote sensing ecological index (RSEI) to analyze Comprehensive Green, Humidity, Dryness and Heat Index and Principal Components. The results show that the RSEI index based on greenness, humidity, heat and dryness has certain applicability, and can better monitor and evaluate the ecological environment quality and its temporal and spatial changes in Jinghe County. In 1994, 2002, and 2016, the average RSEI index was 0.377, 0.323 and 0.327, respectively, and after ranking the RSEI index, it was found that the "poor" quality of the ecological environment was dominant, the grade of "excellent" was reduced, the ecological environment in the area was developing to the bad direction. The artificial oasis in Jinghe County expanded remarkably, and the area of natural oasis decreased. Climate change and human activities have had combined effects on the ecological environment of Jinghe County. The deterioration of ecological environment quality is greatly affected by human disturbance. Population pressure, urbanization process, unreasonable grazing, rational allocation of land resources, inefficient utilization of water resources and other human factors are still the critical points to concern for future ecological environment construction in Jinghe County.

Key words: ecological environment, RSEI, principal component analysis, land use, Jinghe County

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