Projection the long-term ungauged rainfall using integrated Statistical Downscaling Model and Geographic Information System (SDSM-GIS) model
An accuracy in the hydrological modelling will be affected when having limited data sources especially at ungauged areas. Due to this matter, it will not receiving any significant attention especially on the potential hydrologic extremes. Thus, the objective was to analyse the accuracy of the long-t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2019
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/25910/ http://umpir.ump.edu.my/id/eprint/25910/ http://umpir.ump.edu.my/id/eprint/25910/ http://umpir.ump.edu.my/id/eprint/25910/1/Projection%20the%20long-term%20ungauged%20rainfall%20using%20integrated%20Statistical%20Downscaling%20Model%20and%20Geographic%20Information%20System%20%28SDSM-GIS%29%20model.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/25910/http://umpir.ump.edu.my/id/eprint/25910/
http://umpir.ump.edu.my/id/eprint/25910/
http://umpir.ump.edu.my/id/eprint/25910/1/Projection%20the%20long-term%20ungauged%20rainfall%20using%20integrated%20Statistical%20Downscaling%20Model%20and%20Geographic%20Information%20System%20%28SDSM-GIS%29%20model.pdf