Extreme rainfall forecasting based on wavelet analysis and M-K test

Author:

Wang Zijian

Abstract

In recent years, many places in China have encountered extremely rare heavy rainfall weather, and the north has also encountered rare blizzard weather, which poses a serious threat to the personal and property safety of local people. On July 20th, 2021 , with the maximum hourly rainfall reaching 201.9 mm, Zhengzhou suffered the extremely heavy rainfall once in a thousand years. The 7.20 heavy rain in Zhengzhou caused many communities and roads in Zhengzhou to be flooded by the rain and thus drew attention to and recognized the extraordinary precipitation. In this paper, a correlation analysis is made on the interannual variation of precipitation characteristics in Zhengzhou area, and concrete quantitative analysis is made on flood events; In addition, the characteristics and losses of precipitation in Shaanxi and Zhengzhou are compared Finally, put forward the long-term planning and construction of cities under the condition of extreme heavy rainfall in the future.

Publisher

Darcy & Roy Press Co. Ltd.

Reference10 articles.

1. Xu Xiaoyan, Guo Chunyi. Study on the Establishment and Application of Drought and Flood Prediction Model in Hunhe River Basin Based on Grey Theory [J], Jilin water resources,2010(5):45-47.

2. Wang Hongyu, Ma Fang, Yang Kai, etc. Research and Application of Grey Metabolic Model in Medium and Long-term Urban Precipitation Forecast, Journal of Wuhan University,2004(6):31-34.

3. Zhai Qiumin, Zhang Wenjia, Anning, et al. multi-time scale analysis of climate change in southern Henan based on M-K, wavelet and R/S methods [J], Journal of Henan University,2017,47(05):532-543.

4. Kuoray. Simulation study on the effect of urban low-impact rain and flood [J]. Technical supervision of water conservancy,2017,25(06):99-101+128.

5. Zhao Linlin, Xia Letian. Improvement and Application of Grey Markov Chain Model [J], Journal of Hohai University,2007,35(4):487-490.

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