Urban-Scale Quantification of Rainfall Interception Drivers in Tree Communities: Implications for Sponge City Planning

Urban trees play a crucial role in regulating hydrological processes within urban ecosystems by intercepting rainfall to effectively reduce surface runoff and mitigate urban flooding. Current research lacks a systematic quantification of rainfall interception capacity and its community-level impacts at the urban scale. This study adopts a city-scale perspective, integrating field survey data with the i-Tree Eco model to systematically explore the contributions of 20 factors to the average annual rainfall interception of tree species and the average annual rainfall interception efficiency of communities. The study revealed that Deciduous broadleaf trees (1.28 m3 year−1) and Pure coniferous forests (90.7 mm year−1) exhibited substantial rainfall interception capacity. Relative Height, Average Tree Height, Average Crown Width, and Planting Density of trees significantly influence interception capacity. Urban planning can optimize the selection of tree species (e.g., Paulownia, Populus tomentosa, etc.) and community structure (e.g., mixed planting of conifers and deciduous broadleaf trees) to improve rainfall interception capacity, thereby effectively reducing stormwater runoff, mitigating the risk of urban flooding. These findings provide a scientific basis for designing urban vegetation to mitigate flooding, support water management, and advance sponge city development.

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Publication Details

Journal
Sustainability
Published
2025-08-29
DOI
https://doi.org/10.3390/su17177793
Citations
1
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.80

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Urban-Scale Quantification of Rainfall Interception Drivers in Tree Communities: Implications for Sponge City Planning

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1 citations
Sustainability
Urban Stormwater Management Solutions
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article

Urban-Scale Quantification of Rainfall Interception Drivers in Tree Communities: Implications for Sponge City Planning

Ho Yi Wan, Xiaoyang Tan, Runxin Zhang, Xiaobo Zhu, An‐Ping Li, Peihao Song, Chao‐Nan Xu, Kun Wang, Baoguo Liu, Shidong Ge, Enkai Xu
article en
1 citations

Abstract

Urban trees play a crucial role in regulating hydrological processes within urban ecosystems by intercepting rainfall to effectively reduce surface runoff and mitigate urban flooding. Current research lacks a systematic quantification of rainfall interception capacity and its community-level impacts at the urban scale. This study adopts a city-scale perspective, integrating field survey data with the i-Tree Eco model to systematically explore the contributions of 20 factors to the average annual rainfall interception of tree species and the average annual rainfall interception efficiency of communities. The study revealed that Deciduous broadleaf trees (1.28 m3 year−1) and Pure coniferous forests (90.7 mm year−1) exhibited substantial rainfall interception capacity. Relative Height, Average Tree Height, Average Crown Width, and Planting Density of trees significantly influence interception capacity. Urban planning can optimize the selection of tree species (e.g., Paulownia, Populus tomentosa, etc.) and community structure (e.g., mixed planting of conifers and deciduous broadleaf trees) to improve rainfall interception capacity, thereby effectively reducing stormwater runoff, mitigating the risk of urban flooding. These findings provide a scientific basis for designing urban vegetation to mitigate flooding, support water management, and advance sponge city development.

SustainabilityVol. 17(17)
Cal Poly Humboldt (US), University of Florida (US), Institute for Global Environmental Strategies (JP), Henan Agricultural University (CN), California State Polytechnic University (US)
National Natural Science Foundation of China, China Scholarship Council
Openalex Percentile: Top 25%
Urban Stormwater Management Solutions
0.80
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