Influence of urbanization on hourly extreme precipitation over China. (1st April 2022)

• Record Type: Journal Article
• Authors: Huang, Xiaowen; Wang, Dashan; Ziegler, Alan D; Liu, Xiaoping; Zeng, Hui; Xu, Zhibo; Zeng, Zhenzhong
• Is Part Of: Environmental research letters. Volume 17:Number 4(2022)
• Publication Date: 2022-04-01
• Subjects: urbanization -- hourly extreme precipitation -- spatiotemporal pattern -- urban–rural difference -- dynamic classification; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/ac59a6
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: The impact of rapid urbanization on the spatiotemporal pattern of short-term extreme precipitation in China remains unclear at the subnational scale. In this study, we present a general framework that measures urbanization-induced variation in hourly extreme wet season precipitation (April–October) from 1985 to 2012, with reference to a dynamic urban–rural station classification based on annual changes in urban extent. We found that urbanization in south China (<29° N) brings more extreme precipitation to urban areas than to suburbs, and reduces extreme precipitation continually over urban areas in parts of the north and northeast. Over 60% of provincial capital cities show significant changes in extreme precipitation due to urbanization, including smaller size cities separated from large urban clusters. Urbanization enhances extreme precipitation mainly in the local main part of the rainy season, which refers to May in the south (e.g. urban–rural differences of 0.70 mm h −1 in Guangzhou) and July–September in the central and north (1.16 mm h −1 in August of Beijing). Urbanization also increases hourly extreme precipitation at peak times in diurnal cycles. The results indicate that urbanization has caused overall more and more heterogeneous spatial patterns over China and concentrated distributions during the rainy season and peak time. These patterns warrant attention when assessing the risk of increased waterlogging and flash flooding in urban areas.