Probable maximum precipitation in tropical zone (Thailand) as estimated by generalized method and statistical method

Wangwongwiroj, Nittaya; Khemngoen, Chatchapol

doi:10.1002/joc.6119

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Thailand (Wangwongwiroj and Khemngoen 2019). Nevertheless, the practice of designing and evaluating flood related structures based on such PMP (and the ensuing PMF) have been criticized…”

Section: Traditional Statistical Methodsmentioning

confidence: 99%

PMP and Climate Variability and Change: A Review

Salas

Anderson²,

Papalexiou

et al. 2020

J. Hydrol. Eng.

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A state-of-the-art review on the Probable Maximum Precipitation (PMP) as it relates to climate variability and change is presented. The review consists of an examination of the current practice and the various developments published in literature. The focus is on relevant research where the effect of climate dynamics on the PMP are discussed as well as statistical methods developed for estimating very large extreme precipitation including the PMP. Often confusion arises on the interpretation of extreme events without considering the effect of low frequency components of the climate system, their probabilistic nature that may be described by heavy-tail models, and the effect of the uncertainty of several factors determining them, such as atmospheric moisture, its transport into storms, wind, and their future changes. The review examines these issues as well as the underlying historical and proxy data. In addition, we summarize the procedures and guidelines established by some countries (e.g. USA, Australia, Canada, UK, EU, and others), states (e.g. California, Quebec), and the current manual of the World Meteorological Organization for estimating the PMP. In doing so, we paid attention whether the current guidelines and research published literature take into consideration the effects of the variability and change of climatic processes and the underlying uncertainties.

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“…Thailand (Wangwongwiroj and Khemngoen 2019). Nevertheless, the practice of designing and evaluating flood related structures based on such PMP (and the ensuing PMF) have been criticized…”

Section: Traditional Statistical Methodsmentioning

confidence: 99%

PMP and Climate Variability and Change: A Review

Salas

Anderson²,

Papalexiou

et al. 2020

J. Hydrol. Eng.

View full text Add to dashboard Cite

show abstract

“…The second type involves statistical methods, such as Hershfield's approach. In general, the first is more common because it takes into account a large amount of meteorological data [1].…”

Section: Introductionmentioning

confidence: 99%

Spillway Capacity Estimation Using Flood Peak Analysis and Probable Maximum Flood Method

Thepprasit,

Intavong,

Chompuchan

et al. 2024

Water

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This study aims to assess a spillway’s capacity to manage the highest possible fluctuations in water levels, the probable maximum flood (PMF). The PMF values have experienced alterations throughout the last six decades since the initial design and construction of the Kaeng Krachan Dam, one of Thailand’s major dams. The study also conducted an assessment of the greatest levels of rainfall for different timeframes, known as probable maximum precipitation (PMP). This was achieved by simulating the movement of rainstorms into the reservoir area near the dam. Afterwards, a thorough examination was carried out on several time periods related to anticipated flood volumes, PMF, and the spillway’s capability. The research entailed a comprehensive analysis of rainfall occurrences spanning 65 years, encompassing a total of 190 storm events, to present the top 10 highest recorded levels of rainfall in the southern and western regions of Thailand. This information is of utmost significance in assessing the potential maximum rainfall in the study area. The results reveal that the highest PMP observed over a three-day period was 429.20–726.40 mm, which is slightly different from the results obtained using storm transposition method (513.90–869.76 mm). Results of PMF and base flow were 4677.00 and 86.80 cms, respectively. The results of the examination of the estimated maximum flood volumes and their comparison with previous studies show that the maximum flow rates per unit area are within reasonable and consistent boundaries. The current spillway has the capability to manage flood flows with a frequency of up to 10,000 years. Nevertheless, while examining the potential PMF, it has been concluded that the existing spillway’s capacity is insufficient to adequately handle the highest water level in the reservoir, therefore preventing it from exceeding the designated maximum water level.

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Estimation of the probable maximum precipitation (PMP) in the Cheliff semi-arid region (Algeria)

Boucefiane

Meddi²

2022

Meteorol Atmos Phys

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Probable maximum precipitation in tropical zone (Thailand) as estimated by generalized method and statistical method

Cited by 5 publications

References 23 publications

PMP and Climate Variability and Change: A Review

PMP and Climate Variability and Change: A Review

Spillway Capacity Estimation Using Flood Peak Analysis and Probable Maximum Flood Method

Estimation of the probable maximum precipitation (PMP) in the Cheliff semi-arid region (Algeria)

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