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首页> 外文期刊>Journal of Water Resource and Protection >Analysis of Rainfall Intensity-Duration-Frequency Relationship for Rwanda
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Analysis of Rainfall Intensity-Duration-Frequency Relationship for Rwanda

机译:卢旺达降雨强度-持续时间-频率关系分析

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Global atmospheric and oceanic perturbations and local weather variability induced factors highly alter the rainfall pattern of a region. Such factors result in extreme events of devastating nature to mankind. Rainfall Intensity Duration Frequency (IDF) is one of the most commonly used tools in water resources engineering particularly to identify design storm event of various magnitude, duration and return period simultaneously. In light of this, the present study is aimed at developing rainfall IDF relationship for entire Rwanda based on selected twenty six (26) rainfall gauging stations. The gauging stations have been selected based on reliable rainfall records representing the different geographical locations varying from 14 to 83 years of record length. Daily annual maximum rainfall data has been disaggregated into sub-daily values such as 0.5 hr, 1 hr, 3 hr, 6 hr and 12 hr and fitted to the probability distributions. Quantile estimation has been made for different return periods and best fit distribution is identified based on least square standard error of estimate. At-site and regional IDF parameters were computed and subsequent curves were established for different return period. The moment ratio diagram (MRD) and L-moment ratio diagram (LMRD) methods have been used to fit frequency distributions and identify homogeneous regions for observed 24-hr maximum annual rainfall. The rainfall stations have been divided into five homogeneous rainfall regions for all 26 stations. The results of present analysis can be used as useful information for future water resources development planning purposes.
机译:全球大气和海洋的扰动以及当地天气变化的诱发因素极大地改变了该地区的降雨模式。这些因素导致对人类破坏性的极端事件。降雨强度持续时间频率(IDF)是水资源工程中最常用的工具之一,特别是用于同时识别各种幅度,持续时间和恢复期的设计风暴事件。有鉴于此,本研究旨在根据选定的二十六个(26)雨量测量站,为整个卢旺达开发雨量IDF关系。测量站的选择基于可靠的降雨记录,这些记录代表了从14年到83年的记录长度不等的不同地理位置。每天的年度最大降雨量数据已细分为次日值,例如0.5小时,1小时,3小时,6小时和12小时,并与概率分布拟合。已针对不同的回报期进行了分位数估计,并根据估计的最小二乘标准误差确定了最佳拟合分布。计算了现场和区域IDF参数,并为不同的返回期建立了后续曲线。矩比图(MRD)和L矩比图(LMRD)方法已用于拟合频率分布并确定观测到的24小时最大年降雨量的均匀区域。降雨站已被全部26个站划分为五个均匀降雨区。当前分析的结果可以用作将来水资源开发计划目的的有用信息。

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