Determining the most appropriate probability distribution function for meteorological drought indices in Urmia Lake Basin, Iran

Jahangir, Mohammad Hossein; Azimi, Seyed Mohammad; Arast, Mina

doi:10.1007/s10661-022-10639-y

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…In statistics, several types of frequency distributions are known, and the four types of distribution widely used in the field of hydrology are the Gumbel distribution, normal distribution, log-normal distribution, and log-Pearson III distribution [16][17][18]. In statistics, there are several parameters related to data analysis, which include:…”

Section: Rainfall Frequency Analysismentioning

confidence: 99%

Hydrometeorological Disaster Mitigation Through Rainfall Intensity Mapping Using IDF in Sumatera Island, Indonesia

Susilowati,

Kusumastuti

2024

IJDNE

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Climate change due to weather anomalies causes rainfall and frequency to be more intense than normal conditions, including on the island of Sumatera, Indonesia. This has the potential to cause hydrometeorological disasters, such as floods and landslides. The intensity duration frequency (IDF) is an approach of rainfall amounts in water resources engineering for planning, designing, and operating water resources projects. Therefore, this article aims to conduct a rainfall intensity mapping study for specific return periods using the intensity duration frequency (IDF) approach, a case study of Sumatera Island, Indonesia, with the period of historical rainfall between 2013 and 2022. The purpose of the study is to provide essential reference information to mitigate hydrometeorological disasters to avoid the accumulation of rainwater in disaster-prone areas. The method used is a quantitative study using historical rainfall data from 48 rainfall recording stations in the Sumatera Island area. The results of this study show that the average maximum daily rainfall at nine stations is in the normal category, 39 rain gauge stations are in the standard medium rainfall category, and the rest are in the high category. Maps for each of these conditions are attached as the main results of this study. The practical application of this research has generated disaster vulnerability maps using IDF approaches for Sumatera Island (Indonesia) based on rainfall, emphasizing decreasing and aware activity in these areas.

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Section: Rainfall Frequency Analysismentioning

confidence: 99%