标题:
广州市典型雨量站暴雨雨型研究Study on Storm Pattern of Typical Rainfall Station in Guangzhou
作者:
银磊, 陈晓宏, 陈志和, 位帅, 张明珠, 刘浩
关键字:
暴雨雨型, 时程分布, 模糊识别法Storm Pattern; Temporal Distributions; Fuzzy Identification Method
期刊名称:
《Journal of Water Resources Research》, Vol.2 No.6, 2013-12-26
摘要:
近年来，极端气候受到普遍关注，暴雨造成的洪涝灾害加重。暴雨雨型对于雨洪流量影响重大，本文通过对多种设计雨型进行对比分析后，采用模糊识别法对广州市典型雨量站的24 h暴雨雨型进行分类和统计，结果表明广州市暴雨多为单峰型。单峰降雨雨量集中，易引起较大洪水，对城市、机场等区域排水的影响较大，研究成果为广州市防洪除涝建设提供科学依据与参考。In recent years, extreme climate received universal attention and the flood caused by storm is becoming more and more severe. Scholars and professionals in many countries have put more research emphasis on the amount of rainfall instead of storm pattern in the past. However, storm pattern has a great influence on flood peak. This paper adopts fuzzy identification method to analyze the storm pattern of a typical precipitation station in Guangzhou, which showed that most of the storms in Guangzhou are unimodal type. The amount of precipitation is much more concentrated when it is unimodal, which may cause heavy flood, thus posing a big pressure on urban sewerage and drainage. The results can provide a basis for the construction of flood control and waterlogged elimination in Guangzhou.