scholarly journals Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin

2017 ◽  
Vol 122 (9) ◽  
pp. 4808-4828 ◽  
Author(s):  
Deeksha Rastogi ◽  
Shih-Chieh Kao ◽  
Moetasim Ashfaq ◽  
Rui Mei ◽  
Erik D. Kabela ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Sensitivity Study ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation

Climate Change Impact on Probable Maximum Precipitation in Chenar-Rahdar River Basin

2015 ◽  
Author(s):  
A. H. Afrooz ◽  
H. Akbari ◽  
G. R. Rakhshandehroo ◽  
A. Pourtouiserkani
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Climate Change Impact ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Change Impact

scholarly journals Can Satellite Precipitation Products Estimate Probable Maximum Precipitation: A Comparative Investigation with Gauge Data in the Dadu River Basin

2017 ◽  
Vol 10 (2) ◽  
pp. 41 ◽  
Author(s):  
Yuan Yang ◽  
Guoqiang Tang ◽  
Xiaohui Lei ◽  
Yang Hong ◽  
Na Yang
Keyword(s):  
River Basin ◽  
Comparative Investigation ◽  
Satellite Precipitation ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Gauge Data ◽  
Dadu River

scholarly journals Estimation of Probable Maximum Precipitation in the context of climate change

MethodsX ◽  
2020 ◽  
Vol 7 ◽  
pp. 100904 ◽  
Author(s):  
Subharthi Sarkar ◽  
Rajib Maity
Keyword(s):  
Climate Change ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation

scholarly journals PROBABLE MAXIMUM PRECIPITATION USING STATISTICAL METHOD FOR THE YODO RIVER BASIN

2013 ◽  
Vol 69 (4) ◽  
pp. I_157-I_162 ◽  
Author(s):  
Nor Eliza ALIAS ◽  
Pingping LUO ◽  
Kaoru TAKARA
Keyword(s):  
Statistical Method ◽  
River Basin ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation

scholarly journals Effects of variability in probable maximum precipitation patterns on flood losses

2018 ◽  
Author(s):  
Andreas Paul Zischg ◽  
Guido Felder ◽  
Rolf Weingartner ◽  
Niall Quinn ◽  
Gemma Coxon ◽  
...  
Keyword(s):  
River Basin ◽  
Critical Infrastructure ◽  
Flood Hazard ◽  
Infrastructure Management ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Precipitation Patterns ◽  
Probable Maximum Flood ◽  
Flood Losses ◽  
Model Chain

Abstract. The assessment of the impacts of extreme floods is important for dealing with residual risk, particularly for critical infrastructure management and for insurance purposes. Thus, modelling of the probable maximum flood (PMF) from probable maximum precipitation (PMP) by coupling hydrologic and hydraulic models has gained interest in recent years. Herein, we examine whether variability in precipitation patterns exceeds or is below other uncertainties in flood loss estimation and if the flood losses within a river basin are related to the probable maximum discharge at the basin outlet. We developed a model experiment with an ensemble of probable maximum precipitation scenarios created by Monte-Carlo simulations. For each rainfall pattern, we computed the flood losses with a model chain and benchmarked the effects of variability in rainfall distribution with other model uncertainties. The results show that flood losses vary considerably within the river basin and depend on the timing and superimposition of the flood peaks from the basin's sub-catchments. In addition to the flood hazard component, the other components of flood risk, exposure and vulnerability, contribute remarkably to the overall variability. This leads to the conclusion that the estimation of the probable maximum expectable flood losses in a river basin should not be based exclusively on the PMF. Consequently, the basin-specific sensitivities to different precipitation patterns and the spatial organisation of the settlements within the river basin need to be considered in the analyses of probable maximum flood losses.

scholarly journals Estimating Probable Maximum Precipitation for Linau River Basin in Sarawak

2014 ◽  
Vol 5 (3) ◽  
pp. 1-5
Author(s):  
M. Hussain ◽  
S. Nadya ◽  
F.J. Chia
Keyword(s):  
Statistical Method ◽  
River Basin ◽  
Public Safety ◽  
Geographical Location ◽  
Hydraulic Modeling ◽  
Rain Gauge ◽  
Data Set ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
The Impact

 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.

scholarly journals Monitoring and Prediction of Climate Change Impact on 24-h Probable Maximum Precipitation in the Southeast of Caspian Sea

2021 ◽  
Author(s):  
Zahra Afzali-Gorouh ◽  
Alireza Faridhosseini ◽  
Bahram Bakhtiari ◽  
Abolfazl Mosaedi ◽  
Nasrin Salehnia
Keyword(s):  
Climate Change ◽  
Caspian Sea ◽  
Climate Change Impact ◽  
General Circulation ◽  
Climatic Data ◽  
Probable Maximum Precipitation ◽  
Maximum Precipitation ◽  
Change Impact ◽  
Near Future ◽  
Far Future

Abstract Due to the impacts of climate change on Probable Maximum Precipitation (PMP), and its importance in designing hydraulic structures, PMP estimation is crucial. In this study, the effect of climate change on 24-h probable maximum precipitation (PMP24) was investigated in a part of the Qareh-Su basin located in the Southeast of Caspian Sea. So far, there are no studies emphasizing on climate change impact on hydrological (physical) PMP values have been conducted in the study area. For this purpose, the climatic data were applied during the years 1988–2017. To generate future data, the outputs of the CanESM2 (Second Generation Canadian Earth System Model) model as a general circulation model (GCM) under optimistic (RCP2.6), middle (RCP4.5), and pessimistic (RCP8.5) emission scenarios, and statistical downscaling model (SDSM) were used in the near (2019-2048) and the far (2049-2078) future periods. The PMP24 values were estimated using a physical method in the baseline and future periods under the three scenarios. The PMP24 value was estimated at 143 mm for the baseline-period, using a physical approach. These values were 98, 105, and 109 for the near-future and 129, 122, and 126mm for the far-future period. The results showed that the physical approach's PMP24 values tend to fall at 14-38%. Overall, the PMP24 values decrease in the future, and the rate of decrease in the near-future was more than the rate of the far-future. The spatial distribution maps of PMP24 in the baseline and future-periods showed that the PMP24 values decreased from west to east.

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