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Investigating relationships between landscape patterns and surface runoff from a spatial distribution and intensity
Luoyang Wang1, Hao Hou1, Yao Li2
1Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Yuhangtang Road No. 2318, Hangzhou, 311121, China; Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Yuhangtang Road No. 2318, Hangzhou, 311121, China.
Journal of Environmental Management
|November 8, 2022
Summary
Urbanization increases waterlogging risk. Landscape patterns, especially impervious surface and green space, significantly impact runoff depth, offering insights for hazard mitigation and planning.
Area of Science:
- Environmental Science
- Urban Planning
- Hydrology
Background:
- Rapid urbanization alters landscapes, leading to increased urban waterlogging and associated risks.
- Understanding urban waterlogging's spatial patterns and influencing factors is crucial for effective mitigation strategies.
Purpose of the Study:
- To investigate the spatial characteristics and impact factors of urban waterlogging under varying rainfall intensities.
- To analyze the relationship between surface runoff depth and landscape patterns.
Main Methods:
- Utilized Storm Water Management Model (SWMM) simulations to calculate runoff depth.
- Employed scenario-based designs, correlation analysis, and stepwise regression models.
- Examined the influence of landscape composition and configuration on runoff depth.
Main Results:
- Waterlogging risk significantly increases when rainfall intensity reaches 12.5 mm/12h.
- Impervious surface proportions between 25-50% and 75-100% show high sensitivity to runoff depth.
- Fragmented impervious surfaces and larger, less fragmented green spaces effectively control surface runoff.
- Landscape composition was found to be a more significant factor than landscape configuration in influencing runoff depth.
Conclusions:
- Landscape variables effectively predict surface runoff depth, with composition playing a larger role than configuration.
- Findings offer insights for urban waterlogging mitigation, landscape planning, and risk management.
- The proposed methodology provides a framework for future urban waterlogging studies, especially concerning climate change impacts.
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