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

2019 ◽  
Vol 39 (13) ◽  
pp. 4953-4966
Author(s):  
Nittaya Wangwongwiroj ◽  
Chatchapol Khemngoen
2014 ◽  
Vol 5 (3) ◽  
pp. 1-5
Author(s):  
M. Hussain ◽  
S. Nadya ◽  
F.J. Chia

 The probable maximum precipitation (PMP) is the greatest depth of precipitation for a given duration that is physically possible over a given size storm area at a particular geographical location at a certain time of the year. PMP is very important to be considered for the design of river regulating structures i.e Dams and Barrages to overcome any possible chance of overtopping failure as well as for public safety and hazards downstream of any of these structures. Especially if these structures located in the upstream of the of the populated town or city than the failure could damage severely such areas. As such the PMP convention is always a requirement as primary design dam/reservoir criteria when public safety is of concern. The PMP is used to derive Probable Maximum Flood (PMF), which further used in hydraulic modeling to check the impact assessments for such occasions. This paper focuses on estimation of PMP for Linau River Basin in Sarawak using statistical method proposed by World Meteorological Organization (WMO), which is described in its operational manual. Long Lidam and Long Laku are located in Linau River Basin but Long Laku has long discontinuity in the data set thus the rainfall series at Long Lidam is further used for PMP estimation. The missing data was in-filled using Belaga rain gauge station as Long Lidam rainfall has good correlation with Belaga rainfall data. Hershfield statistical method has been adopted to estimate the 24-hour duration PMP. The Probable Maximum Precipitation for 24-hour duration storm is estimated as 691 mm for the Linau River Basin.


MAUSAM ◽  
2021 ◽  
Vol 49 (2) ◽  
pp. 211-216
Author(s):  
P. R. RAKHECHA ◽  
A. K. A. K. KULKARNI A. K. KULKARNI ◽  
B. N. MANDAL ◽  
R. B. SANGAM ◽  
N. R. DESHPANDE

Estimates of Probable Maximum Precipitation (PMP) for different durations were made for the catchment above Koyna dam on the Koyna river. The catchment spans an area of          892 km2 and the PMP estimates were made for a range of durations of 1 to 3 days. The PMP estimates for Koyna dam were found to be 48, 87 and 117 cm by the physical method and 54, 89 and 124 cm by statistical method for 1, 2 and 3 day respectively. These estimates can be used to check the existing spillway design flood of Koyna dam.


2010 ◽  
Vol 31 (9) ◽  
pp. 1322-1327 ◽  
Author(s):  
M Carmen Casas ◽  
Raül Rodríguez ◽  
Marc Prohom ◽  
Antonio Gázquez ◽  
Angel Redaño

2011 ◽  
Vol 2 (2) ◽  
pp. 53-59
Author(s):  
Yiau S.S. ◽  
F.J. Putuhena

Probable Maximum Precipitation is defined as the greatest depth of precipitation which is possible for a given time and duration over a given size storm area under known meteorological conditions. This concept has been used as design criterion of major flood control measures such as spillways of large dams worldwide. It is essential for the generation of Probable Maximum Flood. This paper represents the results of PMP analysis for Bakun Dam Area which has a catchment area of 14,750 km2. Three sets of results were produced, i.e. by statistical method (with frequency factors from World Meteorological Organization manual and National Hydraulic Research Institute of Malaysia in Technical Research Publication No. 1 (TRP 1)) for duration of 1 hour, 8 hours, 24 hours and daily and by experimental method for production of daily PMP. The results were compared with each other and the one made by Sarawak Electricity Supply Corporation on Bakun Dam construction. The set of PMP values results from substitution of Km developed by NAHRIM was concluded to be the most reliable results as daily PMP (276mm) was consistent with the one (280mm) produced by SESCO. However, 6 days PMP value (950mm) done by SESCO was recommended as the Bakun Dam Area cover huge catchment area which higher duration of PMP value should be applied .


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