XUWen-bin,LIYi-fei,LISha,et al.Rainstorm Pattern Suitable for Evaluation of Rainwater Drainage and Waterlogging Control Ability in Southern Cities[J].China Water & Wastewater,2023,39(23):133-138.
Rainstorm Pattern Suitable for Evaluation of Rainwater Drainage and Waterlogging Control Ability in Southern Cities
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第39卷
Number:
第23期
Page:
133-138
Column:
Date of publication:
2023-12-01
- Keywords:
- southern cities; long-duration rainfall pattern; synthetic rainfall pattern; rainstorm zone; cluster analysis
- Abstract:
- The flood season of cities in Southern China lasts for a long time and the rainwater drainage is greatly affected by the backwater of river and lake system, making it is necessary to investigate the long-duration rainfall pattern and synthetic rainfall pattern. Therefore, a case study was carried out in Nanchang. Firstly, Nanchang City was divided into four rainstorm zones by Thiessen polygon analysis, natural breakpoint classification method and PRISM. Then, the long-duration rainfall was investigated by cluster analysis. The long-duration rainfall in Nanchang City demonstrated obvious single cluster characteristics, and the proportion of single cluster in each zone was as high as 77.3%, 74.0%, 72.2% and 74.2%, respectively. The 24-hour long-duration rainstorm pattern of each zone had the characteristic of rainfall peak in the front, gentle in the middle and rising at the tail. In addition, the related research of synthetic rainfall pattern was carried out based on the objective needs. In Nanchang, the synthetic rainfall pattern in each rainstorm zone was mainly single-peak rainfall pattern. Even if there were double or multiple peaks before extremely short-duration rainstorm, the frequency of occurrence was only 1-2 times. The 22-hour+2-hour synthetic rainfall pattern with different return periods was obtained by recombining the Chicago rainfall pattern with the first 22-hour rainfall pattern intercepted from actual rainfall sequence after cluster analysis.
Last Update:
2023-12-01