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丹寨各乡镇洪涝灾害及降水的时空变化特征
周智晖,彭合梅,潘虹旭,龙先菊
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(贵州省丹寨县气象局,贵州 丹寨 557500;贵州省黔东南苗族侗族自治州气象局,贵州 凯里 556000)
摘要:
利用2014—2020年丹寨地区6个乡镇洪涝灾情统计数据和21个区域气象自动站逐日降水资料,采用统计分析方法,分析洪涝灾害及降水的时空分布。结果表明:2014—2020年丹寨境内共出现24次洪涝灾害,2015年6月8日洪涝灾害最重,2020年洪涝灾害最多;从月分布来看,最多最重主要在6月,最少为4月,后半夜(00—03时)是洪涝多发时段;暴雨日数与洪涝灾害时空分布基本相似。受地形作用的影响,洪涝灾害具有季节性、局地性强,成灾率较高,日变化明显等特征;扬武镇、排调镇、雅灰乡出现暴雨和洪涝灾害相对较多,兴仁镇、南皋乡相对较少;中部以南的龙泉镇、排调镇、雅灰乡、扬武镇的洪涝灾害主要因夜间和持续性强降雨导致,而北部的南皋乡、兴仁镇的洪涝灾害主要因夜间强降雨导致。
关键词:  丹寨乡镇:洪涝灾害;降水;时空分布
DOI:
投稿时间:2022-09-15
基金项目:贵州省气象局科研业务登记项目(黔气科登〔2021〕11-13号):丹寨县“三个叫应”降水阈值分析
The Spatiotemporal Variation Characteristics of Flood Disasters  and Precipitation in Various Townships of Danzhai
ZHOU Zhihui,PENG Hemei,PAN Hongxu,LONG Xianju
(Danzhai Meteorological Bureau of Guizhou Province, Danzhai 557500 , China;Qiandongnan Miao and Dong Autonomous Prefecture Meteorological Bureau of Guizhou Province, Kaili 556000 , China)
Abstract:
Using the statistical data of flood disasters in 6 townships in Danzhai area from 2014 to 2020 and daily precipitation data from 21 regional meteorological automatic stations, statistical analysis methods were used to analyze the spatiotemporal distribution of flood disasters and precipitation. The results show that there have been a total of 24 floods in the country from 2014 to 2020, with the heaviest flooding occurring on June 8, 2015 and the highest in 2020; The maximum and heaviest period is mainly in June, with a minimum of April, and the latter half of the night (00—03) is a period of frequent flooding; the spatial and temporal distribution of rainstorm days and flood disasters are basically similar. Due to the influence of terrain, flood disasters have the characteristics of seasonality, strong locality, high disaster rate, and obvious daily changes; there are relatively more rainstorm and flood disasters in Yangwu Town, Paidiao Town and Yahui Township, and relatively fewer in Xingren Town and Nangao Township; Longquan Town, Paidiao Town, Yahui Township, and Yangwu Town, south of the central region, mainly suffer from floods caused by nighttime and sustained heavy rainfall, while Nangao Township and Xingren Town in the north mainly suffer from floods caused by nighttime heavy rainfall.
Key words:  Danzhai Township; flood disasters; precipitation; spatiotemporal distribution
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