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Multivariate delineation of rainfall homogeneous regions for estimating quantiles of maximum daily rainfall: A case study of northwestern Mexico

机译:估计每天最大降水量的降雨均质区的多变量描绘:以墨西哥西北部为例

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摘要

Lack of data in maximum daily rainfall frequency analysis can generate inefficient estimates for design purposes. An approach to diminish these errors is to apply regional estimation techniques, which require that all stations be located at the same homogeneous region. In this paper, a delineation of homogeneous precipitation regions was made based on the multivariate methods of principal component analysis and hierarchical ascending clustering. A region in northwestern Mexico was selected to apply this methodology. It was concluded that only the coefficients of variation of the L-moments, along with latitude, longitude and altitude at each climatological station are sufficient to define the homogeneous rainfall regions, and that either the inclusion or exclusion of information in the regional techniques has a direct impact on the estimation of events associated to different return periods.
机译:每日最大降雨频率分析中缺少数据可能会导致设计效率低下。减少这些误差的一种方法是应用区域估计技术,该技术要求所有站点都位于同一同质区域。本文基于主成分分析和层次聚类的多元方法,对均匀降水区进行了划分。选择了墨西哥西北部的一个地区来应用这种方法。得出的结论是,只有每个气候站的L矩变化系数以及纬度,经度和海拔高度才能确定均匀的降雨区域,并且在区域技术中包括或不包括信息都具有直接影响与不同回报期相关的事件的估计。

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