[1]洪晓湘　庄　炀　孟冰祥　吴建成.漳州市短时强降水致涝研究分析[J].大众科技,2022,24(06):22-25.
　Research and Analysis on Waterlogging Caused by Short-Term Heavy Precipitation in Zhangzhou City[J].Popular Science & Technology,2022,24(06):22-25.
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漳州市短时强降水致涝研究分析()
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《大众科技》[ISSN:1008-1151/CN:45-1235/N]

卷:
24
期数:
2022年06
页码:
22-25
栏目:
资源与环境
出版日期:
2022-06-20

文章信息/Info

Title:
Research and Analysis on Waterlogging Caused by Short-Term Heavy Precipitation in Zhangzhou City
作者:
洪晓湘1　庄　炀1　孟冰祥1　吴建成2　
（1.福建省漳州市气象局，福建 漳州 363000；2.福建省龙文区气象局，福建 漳州 363005）
关键词:
短时强降水; 内涝; 漳州
Keywords:
short-term heavy precipitation waterlogging Zhangzhou
文献标志码:
A
摘要:
通过收集漳州市区近两年内涝情况和降水数据，共收集16次内涝过程共37点次，并对内涝过程进行分析。结果表明2020年内涝较2019年频繁，其次，内涝主要发生在5月至9月，5月最多、8月次之，5月和8月的内涝范围也是最大的。内涝主要出现的时间在午后到晚上。空间分布特征表明，漳州市区积水点分布基本各区都有，但是主要集中在市中心、城乡结合部及低洼路段。统计表明：漳州市区内涝和短时强降水密切相关，发生内涝时周边平均小时降水量24毫米。将造成漳州城市内涝的大尺度环流形势分为副高型边缘型（局地热对流）、台风型和暖区降水型。
Abstract:
Based on the collected data of 16 waterlogging processes in Zhangzhou in the past two years, a total of 37 points, combined with precipitation data, the waterlogging process was analyzed. The results show that: firstly, the waterlogging in 2020 was more frequent than that in 2019. Secondly, the waterlogging mainly occurred in May to September, with the most in May and the second in August. And the range of waterlogging in May and August is largest. Waterlogging mainly occurs in the afternoon to evening. The spatial distribution characteristics show that there are water accumulation points in all districts, mainly concentrated in the downtown area, urban-rural junction and low-lying road sections. Statistics show that the occurrence of waterlogging in Zhangzhou urban area is closely related to short-term heavy precipitation. The average hourly precipitation in the surrounding area is 24 mm when waterlogging occurred. The large-scale circulation patterns that cause urban waterlogging in Zhangzhou can be divided into sub-high edge type (local thermal convection), typhoon type and warm section precipitation type.

参考文献/References:

[1] 那仁满都拉，宫凌旭，张虎贵，等. 城市内涝的时空分布特征及其成因分析——以呼和浩特市区为例[J]. 灾害学，2021，36(4): 1-7. [2] 薛莹莹，贺山峰，王欣. 城市居民内涝灾害风险感知调查研究——以郑州市为例[J]. 河南科学，2019，37(5): 854-860. [3] 张辉，许新宜，张磊，等. 2000-2010 年我国洪涝灾害损失综合评估及其成因分析[J]. 水利经济，2011，29(5): 5-9. [4] 彭芳，吴古会，杜小玲. 贵州省汛期短时强降水时空特征分析[J]. 气象. 2012，38(3): 307-313. [5] 侯淑敏，盛春岩，万文龙，等. 山东省极端强降水天气概念模型研究[J]. 大气科学学报. 2014，37(2): 163-174.

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备注/Memo

备注/Memo:
【收稿日期】2022-01-25 【基金项目】漳州市科技计划项目（ZZ2021J31）；闽西南区域协同发展气象科技专项课题（2020MXN07）。 【作者简介】洪晓湘（1981－），男，福建厦门人，福建省漳州市气象局高级工程师，从事天气预报预警工作。
更新日期/Last Update: 2022-07-25