Journal of East China Normal University(Natural Science) ›› 2021, Vol. 2021 ›› Issue (4): 81-89.doi: 10.3969/j.issn.1000-5641.2021.04.010

• Water Pollution Control and Treatment • Previous Articles     Next Articles

Changes in water quality and land use structure in the green-belt area around Shanghai

Tida CHEN1,2,3,4, Dan CUI1,2,3,4, Yuxin YUAN1,2,3,4, Jiamin LIU1,2,3,4, Minsheng HUANG1,2,3,4,*(), Ying Li1,2,3,4   

  1. 1. Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
    2. Institute of Eco-Chongming, Shanghai 202162, China
    3. Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai 200241, China
    4. Technology Innovation Center for Land Spatial Eco-Restoration in Metropolitan Area (Ministry of Natural Resources), Shanghai 200062, China
  • Received:2020-12-21 Online:2021-07-25 Published:2021-07-23
  • Contact: Minsheng HUANG


In this paper, we study land use change and its effects on water quality for 30 water bodies in the green-belt area of Shanghai; the analysis is based on the Markov transfer matrix and Pearson correlation analysis of field data and interpreted land use types. The results show that: the water quality is dominated by Grade Ⅳ and lower Grade Ⅴ; the proportion of water bodies with lower Grade Ⅴ is decreasing year by year; the buffer zone is dominated by construction land, forest, and grassland, with a total proportion of about 84.37%; the increase in construction land and decrease in bare land, accounted for 48.95% of the total reduced area and 50.85% of the total increased area, respectively; on the 300 m buffer scale, grassland had a positive effect on DO and Chla; on the 500 m scale, bare land was the main factor for CODMn deterioration; and cultivated land was positively correlated with multiple pollution indicators at two scales.

Key words: green-belt around the city, Nemero index method, Markov transition matrix, land use change

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