利用加纳韦塔传统地区的综合雨量计(RG)和遥感(TRMM)数据集绘制强度-持续时间-频率(IDF)曲线

Mawufemor Dzamposu Agakpe , Mexoese Nyatuame , Francis Ampiaw
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引用次数: 0

摘要

这项研究为威塔地区开发了 IDF 曲线并推导出经验方程,以估算设计降雨量。研究人员分别从加纳气象局和美国国家航空航天局获得了 22 年来威塔地区雨量计和热带降雨测量任务(TRMM)3B42 的日降雨量数据。使用印度气象局的公式将日数据分解为小时合成序列,以绘制 IDF 曲线。对组合数据集进行频率分析,以确定最能体现数据集特征的分布。结果表明,IDF 曲线为较短持续时间(0.08 小时、0.17 小时、0.25 小时和 0.5 小时)提供了较高的强度,而为较长持续时间(1 小时、2 小时、6 小时、12 小时和 24 小时)提供了较低的强度。降雨强度和重现期是平行的,同一重现期的高强度与短持续时间相关。与雨量计数据相比,TRMM 高估了降雨量。IDF 曲线和推导出的经验方程是水利基础设施设计和水资源规划与管理的有用科学工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of intensity – duration – frequency (IDF) curves using combined rain gauge (RG) and remote sense (TRMM) datasets for Weta Traditional Area in Ghana

Development of intensity – duration – frequency (IDF) curves using combined rain gauge (RG) and remote sense (TRMM) datasets for Weta Traditional Area in Ghana

This research developed IDF curves and derived empirical equations for the Weta Area to estimate design rainfall. Daily rainfall data of Rain Gauge and Tropical Rainfall Measuring Mission (TRMM) 3B42 over 22 years for Weta were obtained from the Ghana Meteorological Services and National Aeronautics and Space Administration, respectively. The Indian Meteorological Department formula was used to disaggregate the daily data into hourly synthetic series to develop the IDF curves. The combined dataset was subjected to frequency analysis to determine the distribution which best characterize the dataset. The results demonstrated that the IDF curves provided higher intensities for shorter durations (0.08-h, 0.17-h, 0.25 h, and 0.5 h) while lower intensities for longer durations (1 h, 2-h, 6-h, 12 h and 24 h). The rainfall intensities and return periods are parallel and high intensities correlated with brief durations for the same return period. TRMM overestimated rainfall compared to Rain Gauge data. The IDF curves and derived empirical equations are useful scientific tools for hydraulic infrastructure design and water resources planning and management.

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