Academic Journal

A novel evaluation method-based effect analysis of urbanization on extreme precipitation in Guangxi, South China.

التفاصيل البيبلوغرافية
العنوان: A novel evaluation method-based effect analysis of urbanization on extreme precipitation in Guangxi, South China.
المؤلفون: Huang, Jingyi1,2 (AUTHOR), Li, Xungui1,2 (AUTHOR) xunguili@gxu.edu.cn, Tian, Yi1,2 (AUTHOR), Sun, Jian1,2 (AUTHOR), Yang, Qiyong1,2 (AUTHOR), Yang, Meiqing3 (AUTHOR), Wang, Shaobo4 (AUTHOR)
المصدر: Theoretical & Applied Climatology. Jul2024, Vol. 155 Issue 7, p5957-5971. 15p.
مصطلحات موضوعية: *CITIES & towns, *METEOROLOGICAL stations, *RAINFALL, *EMERGENCY management, *URBANIZATION
مستخلص: Intense rainfall occurrences are increasing globally due to rapid urbanization, necessitating effective flood management and disaster reduction in urban areas. This study examines the spatiotemporal patterns of extreme precipitation (EP) in Guangxi Zhuang Autonomous Region, China, from 1985 to 2014 using the Mann–Kendall test. By categorizing 88 meteorological stations as urban or rural based on impervious area percentages in their buffer zones, a correlation is established between EP and urban impervious area. The study proposes an improved normalization method for urbanization effect on extreme precipitation (INM-UEEP). Key findings include: (i) Ten EP indices displayed increasing trends in Guangxi from 1985 to 2014, predominantly in central and northeastern areas with higher urbanization levels; (ii) Urbanization accelerated after 2000, resulting in the number of urban meteorological stations in Guangxi rising from two to twelve. Urban areas experienced more frequent extreme precipitation events compared to rural areas, with significant influence from short-term heavy precipitation indices such as R50, R95p, R99p, and RX1day; and (iii) Liuzhou and Nanning exhibited notable urbanization effects on extreme precipitation among urban stations, while Laibin and Qinzhou had minimal impact. The INM-UEEP overcomes limitations of traditional approaches in assessing urban–rural disparities by providing a standardized evaluation criteria. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:0177798X
DOI:10.1007/s00704-024-04992-w