[Influence of Pervious/Impervious Pattern on Runoff and Pollution in Parcel-based Catchment].

Huan Jing Ke Xue

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.

Published: October 2020

AI Article Synopsis

  • The study examined how the arrangement and composition of permeable and impermeable surfaces in urban areas affect runoff and pollution, using landscape metrics to analyze these relationships.
  • Results showed that higher patch density (more fragmented surfaces) correlated positively with total runoff and pollutant loads, while larger patches had a negative impact, indicating that smaller, scattered patches contribute more to runoff than larger ones.
  • For planning urban landscapes, the research suggests transforming small, regular patches into larger, irregular ones to better control runoff and pollution, highlighting the importance of surface patterns in urban water management.

Article Abstract

Determining the influence of pervious/impervious underlying surface pattern (composition, position, proportion, etc.) on the generation capacity of surface runoff and pollution in the urban parcel-based catchment could aid in alleviating the urban waterlogging and control non-point source pollution significantly. Landscape metrics were used to analyze the relationship between the characteristics of pervious/impervious underlying surface pattern and total runoff () and the cumulative load of dissolved pollutants () and particulate pollutants (). The results showed that: ① For the metrics of fragmentation, the patch density (PD) was positively correlated with and . and largest patch index (LPI) was negatively correlated with them. Especially, the PD exhibited a significantly positive correlation with (=0.59, <0.05, calculated in COD). However, the LPI exhibited a significantly negative correlation with (=-0.60, <0.05, calculated in COD). ② For the metrics of complexity, landscape shape index (LSI) was positively correlated with and , and mean shape index (MSI) was negatively correlated with them. Especially, the LSI exhibited a significantly positive correlation with (=0.61, <0.05, calculated in TP) significantly. However, the MSI exhibited a significantly negative correlation with (=-0.62, <0.01, calculated in TP) significantly. ③ For the metrics of vergence, the split index (SPLIT) was positively correlated with and , and the cohesion index (COHESION) was negatively correlated with them. The COHESION exhibited a significantly negative correlation with (=-0.59, <0.05, calculated in COD), whereas the SPLIT exhibited a significantly positive correlation with (=0.6, <0.05, calculated in COD). ④ In the planning on the distribution and pattern of pervious surface under small-scale catchment, it is suggested that the scattered small-regular patches should be transformed to large-irregular patches or patch group. The relationship of the fragmentation, complexity, and vergence of pervious/impervious surface, with the runoff generation, and pollution output in parcel-based catchment was analyzed, which provided a new method for rainfall runoff and pollution control by considering rational allocation of LID facilities in terms of its pattern characteristics (area, distance, shape, etc.).

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http://dx.doi.org/10.13227/j.hjkx.202003221DOI Listing

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