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首页> 外文期刊>Arabian Journal for Science and Engineering >Rainfall Intensity–Duration–Frequency (IDF) Curves: Effects of Uncertainty on Flood Protection and Runoff Quantification in Southwestern Saudi Arabia
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Rainfall Intensity–Duration–Frequency (IDF) Curves: Effects of Uncertainty on Flood Protection and Runoff Quantification in Southwestern Saudi Arabia

机译：降雨强度持续时间频率（IDF）曲线：不确定性对沙特阿拉伯西南部防洪和径流量化的影响

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摘要

Southwestern Saudi Arabia experiences occasional flash floods, possibly due to an inadequate understanding of rainfall and runoff and a lack of infrastructure. Several studies have investigated rainfall intensity, duration, and runoff, while the infrastructure is not adequate to avoid floods. One possibility for the lack of adequate infrastructure might be the limitations in handling rainfall data. In this study, rainfall intensity–duration–frequency (IDF) curves were developed using the Gumbel distribution for five areas (Abha, Al-Baha, Bisha, Gizan, and Khamis Mushait) in southwestern Saudi Arabia. Four methods of calculating depth–duration relationships were applied. The 25-year daily maximum rainfall data were converted into hourly and sub-hourly data using these methods. The methods showed considerable variability in the IDF relationships, which may influence the essential protective measures against floods and runoff collection. The log-Pearson Type Ⅲ (LPT Ⅲ) distribution and RainyDay were also used to develop the 24-h IDF curves. The results show that Gumbel and LPT Ⅲ can be used in regions with a lack of sub-daily rainfall data, while RainyDay can be used with caution in regions with no rainfall data. This study observed significant variability in the storage capacity requirements in different areas. The effects of methodological variability can be minimized by long-term monitoring of data, calibrating the methods using these data, and constructing watersheds to store the wide ranges of runoff. The areas showed significant differences in IDF curves, emphasizing the need for studying smaller areas rather than the entire region. A better understanding of the variability in IDF relationships may assist in controlling flash floods and maximizing runoff storage.
机译：沙特阿拉伯西南部偶尔经历闪存洪水，可能是由于对降雨和径流的理解不足，缺乏基础设施。几项研究已经调查了降雨强度，持续时间和径流，而基础设施并不能避免洪水。缺乏适当基础设施的一种可能性可能是处理降雨数据的局限性。在这项研究中，利用沙特阿拉伯西南部的五个地区（Abha，Al-Baha，Bisha，Gizan和Khamis Mushait）开发了降雨强度持续时间频率（IDF）曲线。应用了计算深度关系的四种方法。使用这些方法将25年日最大的降雨数据转换为每小时和次小时数据。该方法在IDF关系中表现出相当大的变化，这可能影响对洪水和径流收集的基本保护措施。 Log-PearsonⅢ（LPTⅢ）分布和雨季也用于开发24-H个IDF曲线。结果表明，Gumbel和LPTⅢ可用于缺乏亚日降雨数据的地区，而雨季可在没有降雨数据的地区谨慎使用。本研究观察了不同领域的存储容量要求的显着变化。通过长期监控数据，可以最小化方法论变异性的影响，使用这些数据校准方法，并构建流域来存储径流范围。该区域显示了IDF曲线的显着差异，强调需要研究较小区域而不是整个地区的需要。更好地理解IDF关系中的变异可能有助于控制闪光洪水和最大化径流存储。

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