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

Chunqi Qiu, Yufeng Li, Alan L. Wright, Cheng Wang, Jiayi Xu, Shiwei Zhou, Wanchun Huang, Yanhui Wu, Yinglei Zhang and Hongyu Liu
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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

Sustainability, 2021, vol. 13, issue 15, 1-17

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.

Keywords: urban-rural gradient; ditch connectivity; spatial autocorrelation; GWR model; water quality (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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