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Spatial Effects of Urban-Rural Ditch Connectivity Gradient Changes on Water Quality to Support Ditch Optimization and Management

Author

Listed:
  • Chunqi Qiu

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Yufeng Li

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Alan L. Wright

    (Soil & Water Sciences Department, University of Florida-IFAS, Gainesville, FL 34945, USA)

  • Cheng Wang

    (School of Geography, Nanjing Normal University, Nanjing 210023, China)

  • Jiayi Xu

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Shiwei Zhou

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Wanchun Huang

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Yanhui Wu

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Yinglei Zhang

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

  • Hongyu Liu

    (School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)

Abstract

Ditch networks play crucial roles in regulating water fluxes with their surroundings. The connectivity of ditches can have great impacts on nutrient migration and transformations. However, connectivity patterns related to ditch networks have rarely been studied, especially the relationships with water quality assessed through spatial analysis. This paper considered ditch connectivity and water quality indicators comprehensively, using spatial autocorrelation and geographically weighted regression (GWR) models, to analyze the impact of ditch connectivity on water quality from urban to rural gradients. The results suggested that water quality in rural areas and towns was better than in suburbs and transition zones, and the different areas exhibited variable spatial ditch connectivity. The Moran’s I index of the connectivity indicators showed the clustering state of spatial distribution, with ditch connectivity explaining 61.06% of changes in water quality. The circularity and network connectivity of the ditches had the most influence on water quality. However, the degree of influence varied with region. Circularity had the greatest impact on water quality in urban areas, and network connectivity had the greatest impact on water quality in township areas. Therefore, future water improvement projects, based on ditch optimization and management, need to consider the more related influencing factors and their spatial differences.

Suggested Citation

  • Chunqi Qiu & Yufeng Li & Alan L. Wright & Cheng Wang & Jiayi Xu & Shiwei Zhou & Wanchun Huang & Yanhui Wu & Yinglei Zhang & Hongyu Liu, 2021. "Spatial Effects of Urban-Rural Ditch Connectivity Gradient Changes on Water Quality to Support Ditch Optimization and Management," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8329-:d:601662
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    References listed on IDEAS

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    1. Honghu Sun & Xianfu Cheng & Mengqin Dai, 2016. "Regional flood disaster resilience evaluation based on analytic network process: a case study of the Chaohu Lake Basin, Anhui Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 39-58, May.
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