Multiple Imputations by Chained Equations for Recovering Missing Daily Streamflow Observations: A Case Study of Langat River Basin in Malaysia

2021 ◽  
Author(s):  
Fatimah Bibi Hamzah ◽  
Firdaus Mohamad Hamzah ◽  
Siti Fatin Mohd Razali
Keyword(s):  
River Basin ◽  
Multiple Imputations ◽  
Daily Streamflow ◽  
Langat River

scholarly journals Flood risk index pattern assessment: case study in Langat River Basin

2018 ◽  
Vol 9 (2S) ◽  
pp. 12 ◽  
Author(s):  
A.S.M. Saudi ◽  
M.K.A. Kamarudin ◽  
I.S.D. Ridzuan ◽  
R Ishak ◽  
A Azid ◽  
...  
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Risk Index ◽  
Langat River

scholarly journals Precision of raw and bias-adjusted satellite precipitation estimations (TRMM, IMERG, CMORPH, and PERSIANN) over extreme flood events: case study in Langat river basin, Malaysia

2020 ◽  
Vol 11 (S1) ◽  
pp. 322-342 ◽  
Author(s):  
Eugene Zhen Xiang Soo ◽  
Wan Zurina Wan Jaafar ◽  
Sai Hin Lai ◽  
Faridah Othman ◽  
Ahmed Elshafie ◽  
...  
Keyword(s):  
River Basin ◽  
Random Errors ◽  
Satellite Precipitation ◽  
Extreme Flood ◽  
Langat River ◽  
Alternative Means ◽  
Local Intensity ◽  
Peak Streamflow ◽  
Intensity Scaling

Abstract Although satellite precipitation products (SPPs) increasingly provide an alternative means to ground-based observations, these estimations exhibit large systematic and random errors which may cause large uncertainties in hydrologic modeling. Three approaches of bias correction (BC), i.e. linear scaling (LS), local intensity scaling (LOCI), and power transformation (PT), were applied on four SPPs (TRMM, IMERG, CMORPH, and PERSIANN) during 2014/2015 extreme floods in Langat river basin, and the performance in terms of rainfall and streamflow were investigated. The results show that the original TRMM had a potential to predict the peak streamflow although CMORPH show the best performance in general. After performing BC, it is found that the LS-IMERG and LOCI-TRMM show the best performance at both rainfall and streamflow analysis. Generally, it is indicated that the current SPP estimations are still imperfect for any hydrological applications. Cross validation of different datasets is required to avoid the calibration effects of datasets.

ASSESSMENT OF TORRENTIAL FLOOD SUSCEPTIBILITY USING GIS MATRIX METHOD: CASE STUDY - VRBAS RIVER BASIN (B&H)

2018 ◽  
Vol 13 (2) ◽  
pp. 369-382 ◽  
Author(s):  
Radislav TOŠIĆ ◽  
◽  
Novica LOVRIĆ ◽  
Slavoljub DRAGIĆEVIĆ ◽  
Sanja MANOJLOVIĆ
Keyword(s):  
River Basin ◽  
Matrix Method ◽  
Flood Susceptibility ◽  
Gis Matrix Method ◽  
Torrential Flood
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