Influence of the envelope curve on the estimate of probable maximum precipitation (PMP) in the coastal region of Algeria

2021 ◽  
Author(s):  
Soumia Batout ◽  
Larbi Houichi ◽  
Nadir Marouf
Keyword(s):  
Coastal Region ◽  
Envelope Curve ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation

scholarly journals Estimation of the probable maximum precipitation in Barcelona (Spain)

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

scholarly journals Probable Maximum Precipitation (PMP) Analysis for Bakun Dam Area

2011 ◽  
Vol 2 (2) ◽  
pp. 53-59
Author(s):  
Yiau S.S. ◽  
F.J. Putuhena
Keyword(s):  
Catchment Area ◽  
Flood Control ◽  
Design Criterion ◽  
Control Measures ◽  
Dam Construction ◽  
Research Publication ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Probable Maximum Flood ◽  
The One

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 .

scholarly journals Estimation of Probable Maximum Precipitation (PMP) and Probable Maximum Flood (PMF) Using GSSHA Model (Case Study Area Upper Citarum Watershed)

2021 ◽  
Vol 893 (1) ◽  
pp. 012023
Author(s):  
Puji R A Sibuea ◽  
Dewi R Agriamah ◽  
Edi Riawan ◽  
Rusmawan Suwarman ◽  
Atika Lubis
Keyword(s):  
Model Simulation ◽  
Hydrologic Model ◽  
Model Case ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Hydrologic Analysis ◽  
Probable Maximum Flood ◽  
The Mean ◽  
The Impact

Abstract Probable Maximum Flood (PMF) used in the design of hydrological structures reliabilities and safety which its value is obtained from the Probable Maximum Precipitation (PMP). The objectives of this study are to estimate PMP and PMF value in Upper Citarum Watershed and understand the impact from different PMP value to PMF value with two scenarios those are Scenario A and B. Scenario A will calculate the PMP value from each Global Satellite Mapping of Precipitation (GSMaP) rainfall data grid and Scenario B calculate the PMP value from the mean area rainfall. PMP value will be obtained by the statistical Hershfield method, and the PMF will be obtained by employed the PMP value as the input data in Gridded Surface Subsurface Hydrologic Analysis (GSSHA) hydrologic model. Model simulation results for PMF hydrographs from both scenarios show that spatial distribution of rainfall in the Upper Citarum watershed will affect the calculated discharge and whether Scenario A or B can be applied in the study area for PMP duration equal or higher than 72 hours. PMF peak discharge for Scenario A is averagely 13,12% larger than Scenario B.

Discussion of “Estimating the Probable Maximum Precipitation”

1962 ◽  
Vol 88 (2) ◽  
pp. 179-182
Author(s):  
Walter T. Wilson ◽  
J. Kerr
Keyword(s):  
Probable Maximum Precipitation ◽  
Maximum Precipitation
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