强降雨强度-持续时间-频率曲线的发展及其上尾分布特征

Q4 Earth and Planetary Sciences Revista Brasileira de Meteorologia Pub Date : 2022-07-04 DOI:10.1590/0102-77863710069
W. A. Pansera, B. Gomes, Eloy Lemos de Mello, J. C. Saad
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引用次数: 0

摘要

各种水工建筑物(如雨水渠、桥梁和水坝)的设计和管理需要对持续时间从几分钟到24小时或更长时间的降雨量进行估算。强度-持续时间-频率(IDF)曲线将发生的概率与给定的降雨强度联系起来。IDF曲线的获取过程主要包括两个步骤:(1)不同持续时间的频率分析和(2)IDF曲线的建模。在第一步,本研究旨在充分选择以下分布的上尾权:广义极值(GEV)、广义logistic (GLO)和广义Pareto (GPA)。第二步,本研究旨在评估三种IDF曲线模型的性能。将传统模型(M1)与经验模型(M2)和二阶多项式模型(M3)进行比较。为了进行这项研究,使用了巴西圣保罗州)Caraguatatuba市1971 - 2001年的降雨数据,时间间隔为10 - 1440 min。主要结论是:(i) GLO和GEV的上尾较重,而GPA的上尾较轻,影响分位数的时间为100 - 100年;(ii)对于大于100年的回归周期,M3的误差小于M1。
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Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution
Abstract The design and management of various hydraulic structures (such as stormwater drains, bridges and dams) require the estimation of rainfall with duration of a few minutes up to 24 h or more. Intensity-duration-frequency (IDF) curves links probability of occurrence to a given rainfall intensity. The procedure for obtaining IDF curves basically involves two steps: (i) frequency analysis for different durations and (ii) modeling of IDF curves. In the first step, this study aimed to adequately select the upper tail weight of the following distributions: generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA). In the second step, this study aimed to evaluate the performance of three models of IDF curves. The traditional model (M1) was compared with empirical model (M2) and a second-order polynomial model (M3). To perform this study, rainfall data from the city of Caraguatatuba (São Paulo state, Brazil) for the period between 1971 and 2001 were used, for time intervals between 10 and 1440 min. The main conclusions were: (i) GLO and GEV had heavy upper tail while GPA had light upper tail, impacting quantiles with T > 100 years; (ii) M3 presents errors lower than M1 for return periods greater than 100 years.
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来源期刊
Revista Brasileira de Meteorologia
Revista Brasileira de Meteorologia Earth and Planetary Sciences-Atmospheric Science
CiteScore
1.70
自引率
0.00%
发文量
26
审稿时长
16 weeks
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