Integrated Assessment of the Runoff and Heat Mitigation Effects of Vegetation in an Urban Residential Area

Xi Wu, Qing Chang (), So Kazama, Yoshiya Touge and Shunsuke Aita
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Xi Wu: School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
Qing Chang: School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
So Kazama: Department of Civil and Environmental Engineering, Tohoku University, Sendai 980-8579, Japan
Yoshiya Touge: Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji 611-0011, Japan
Shunsuke Aita: Department of Civil and Environmental Engineering, Tohoku University, Sendai 980-8579, Japan

Sustainability, 2024, vol. 16, issue 12, 1-18

Abstract: Urban vegetation has an essential role in maintaining the hydrological and energy balance. These processes in urban areas have been long overlooked due to the fragmentation and uneven feature of land use and vegetation distribution. Recent advances in remote sensing and the ease of data acquisition have allowed a more precise mapping of vegetation and land cover, making it possible to simulate the above processes at micro scales. This research selects a small typical residential catchment in Japan as the study area and the purpose of this research is to investigate the impact of urban vegetation on mitigating urban runoff and the heat island effect. The remote-sensed Normalized Difference Vegetation Index (NDVI) data were used to represent vegetation spatial distribution and seasonal variation. A single layer canopy model and the Storm Water Management Model were coupled to simulate interception, evapotranspiration, and runoff generation processes. The effects of vegetation amount and landscape patterns on the above processes were also considered. The results showed that the coupled model had a satisfactory performance in the modeling of these processes. When the vegetation amount was set to 1.4 times its original value, the summer total runoff had a 10.7% reduction and the average surface temperature had a 2.5 °C reduction. While the vegetation amount was 0.8 times its original value, the total runoff increased by 6%, and the average surface temperature in summer increased by 1.5 °C. The combination of green roof and dense street trees showed the best mitigation performance among the different landscape patterns. The results of this study could be used as a reference for future green infrastructure development in areas with similar climate and vegetation characteristics.

Keywords: urban vegetation; process modeling; runoff reduction; heat mitigation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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