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首页> 外文期刊>Open Journal of Modern Hydrology >Generic Method for Merging Satellite and Historical Ground Station Data to Design Rainfall Intensity Duration Frequency (IDF) Curves in Recordless Sub-Saharian Countries
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Generic Method for Merging Satellite and Historical Ground Station Data to Design Rainfall Intensity Duration Frequency (IDF) Curves in Recordless Sub-Saharian Countries

机译:合并卫星和历史地面站数据以设计无记录撒哈拉以南国家的降雨强度持续时间频率(IDF)曲线的通用方法

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The availability of long-term rainfall records is essential to conduct a serious frequency analysis in order to estimate the effective precipitation depth. The development of the process of elaboration of IDF (Intensity-Duration-Frequency) curves for a given location requires very precise data, at least with daily frequency, obtained through the use of rainfall records. The present study presents a method used to merge historical precipitation data with the latest data collected by satellite in order to perform graphs with IDF curves in places where rainfall records are scarce. The homogeneity of the data used is analyzed in order to guarantee its statistical utility and the frequency analysis was performed with the statistical distributions of Extreme Values Type I (Gumbel), Gamma, Pearson Type III and finally with Log-Pearson Type III, in order to verify which one of them applies better to the sites chosen for this analysis: the cities of Benguela and Lobito in the south of Angola. Daily rainfall data from the TRMM mission and historical daily data were used to derive the relationships between the maximum daily precipitation and the sub-daily precipitation values. From the observed daily data, techniques of disaggregation of the collected data were used, in order to generate a synthetic precipitation sequence with the extreme values in periods of time inferior to the daily one, with statistical properties similar to the registered data. Then IDF equations are established, with which the occasional storm depth is calculated for various return periods and various durations and, after them, the IDF curves are drawn for these two geographic stations.
机译:长期降雨记录的可用性对于进行认真的频率分析以估算有效降水深度至关重要。给定位置的IDF(强度-持续时间-频率)曲线的拟定过程的开发,需要非常精确的数据,至少是每天频率,这些数据是通过使用降雨记录获得的。本研究提出了一种方法,用于将历史降水数据与卫星收集的最新数据合并,以便在降雨记录稀少的地方执行具有IDF曲线的图表。为了保证数据的统计实用性,对所用数据的同质性​​进行了分析,并按照I型极值(Gumbel),Gamma,Pearson III型以及Log-Pearson III型的统计分布进行了频率分析。验证其中哪一个更适合用于此分析的地点:安哥拉南部的本格拉和洛比托等城市。来自TRMM任务的每日降雨量数据和历史每日数据被用于得出最大每日降水量与次日降水值之间的关系。从观测到的每日数据中,使用了对收集到的数据进行分类的技术,以便生成一个合成沉淀序列,该序列在时间上要低于每日一次,其统计特性类似于注册数据。然后建立IDF方程,利用该方程可计算出不同返回周期和持续时间的偶发风暴深度,然后,绘制了这两个地理站的IDF曲线。

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