Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters
Serious harms of flash flood can be caused by heavy precipitation. Based on flash flood disasters, soil moisture information and the historical precipitation data, etc. from January 2013 to December 2016, the temporospatial distribution characteristics of precipitation and flash flood over China and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Torrential Rain and Disasters
2021-12-01
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| Series: | 暴雨灾害 |
| Subjects: | |
| Online Access: | http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.06.010 |
| _version_ | 1827907576213274624 |
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| author | Jingyue DI Fengwen XU Hongjun BAO Chengpeng XU Guoping ZHANG |
| author_facet | Jingyue DI Fengwen XU Hongjun BAO Chengpeng XU Guoping ZHANG |
| author_sort | Jingyue DI |
| collection | DOAJ |
| description | Serious harms of flash flood can be caused by heavy precipitation. Based on flash flood disasters, soil moisture information and the historical precipitation data, etc. from January 2013 to December 2016, the temporospatial distribution characteristics of precipitation and flash flood over China and in several typical regions (Yunnan Province, Guizhou Province, Sichuan Province and Chongqing Province) are preliminarily analyzed. The method of static critical precipitation of flash flood is developed by establishing the relationship between flash flood events and precipitation at different time-scales (1 h, 6 h, 12 h and 24 h) before each flash flood event. Combined with the characteristics of the relative soil moisture in different layers (10~50 cm) at different time period before disasters, the dynamic critical precipitation threshold is calculated as well. The dynamic critical precipitation threshold model of flash flood in national and regional domains is proposed in the paper. The results show that the models perform well, and the hit ratio of the dynamic model reaches 73%, which is better than the static model. |
| first_indexed | 2024-03-13T01:10:09Z |
| format | Article |
| id | doaj.art-d0a7484558394c2fa09c5a12471d6bf8 |
| institution | Directory Open Access Journal |
| issn | 2097-2164 |
| language | zho |
| last_indexed | 2024-03-13T01:10:09Z |
| publishDate | 2021-12-01 |
| publisher | Editorial Office of Torrential Rain and Disasters |
| record_format | Article |
| series | 暴雨灾害 |
| spelling | doaj.art-d0a7484558394c2fa09c5a12471d6bf82023-07-06T04:30:38ZzhoEditorial Office of Torrential Rain and Disasters暴雨灾害2097-21642021-12-0140665566310.3969/j.issn.1004-9045.2021.06.0102790Research on precipitation characteristics and dynamic critical thresholds of flash flood disastersJingyue DI0Fengwen XU1Hongjun BAO2Chengpeng XU3Guoping ZHANG4National Meteorological Centre, Beijing 100081National Meteorological Centre, Beijing 100081National Meteorological Centre, Beijing 100081National Meteorological Centre, Beijing 100081CMA Public Meteorological Service Centre, Beijing 100081Serious harms of flash flood can be caused by heavy precipitation. Based on flash flood disasters, soil moisture information and the historical precipitation data, etc. from January 2013 to December 2016, the temporospatial distribution characteristics of precipitation and flash flood over China and in several typical regions (Yunnan Province, Guizhou Province, Sichuan Province and Chongqing Province) are preliminarily analyzed. The method of static critical precipitation of flash flood is developed by establishing the relationship between flash flood events and precipitation at different time-scales (1 h, 6 h, 12 h and 24 h) before each flash flood event. Combined with the characteristics of the relative soil moisture in different layers (10~50 cm) at different time period before disasters, the dynamic critical precipitation threshold is calculated as well. The dynamic critical precipitation threshold model of flash flood in national and regional domains is proposed in the paper. The results show that the models perform well, and the hit ratio of the dynamic model reaches 73%, which is better than the static model.http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.06.010flash floodsoil moisturedynamic thresholdcritical precipitationflash flood early warning |
| spellingShingle | Jingyue DI Fengwen XU Hongjun BAO Chengpeng XU Guoping ZHANG Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters 暴雨灾害 flash flood soil moisture dynamic threshold critical precipitation flash flood early warning |
| title | Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| title_full | Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| title_fullStr | Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| title_full_unstemmed | Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| title_short | Research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| title_sort | research on precipitation characteristics and dynamic critical thresholds of flash flood disasters |
| topic | flash flood soil moisture dynamic threshold critical precipitation flash flood early warning |
| url | http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2021.06.010 |
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