Flood damage prediction system for disaster risk reduction
FDAPS is a flood damage prediction system capable to forecast the expected value of flood damage corresponding to the flood depth for a flood event. It is solely based on the damage data collected from major flood event for the respective location. The flood damage is described as a percentage of th...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34173/ http://umpir.ump.edu.my/id/eprint/34173/1/Flood%20damage%20prediction%20system%20for%20disaster%20risk%20reduction.CITREX2021..pdf |
| _version_ | 1848824436537425920 |
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| author | Noor Suraya, Romali Nadiatul Adilah, Ahmad Abdul Ghani |
| author_facet | Noor Suraya, Romali Nadiatul Adilah, Ahmad Abdul Ghani |
| author_sort | Noor Suraya, Romali |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | FDAPS is a flood damage prediction system capable to forecast the expected value of flood damage corresponding to the flood depth for a flood event. It is solely based on the damage data collected from major flood event for the respective location. The flood damage is described as a percentage of the total value of the damaged property, hence it can be used for any flood event. FDAPS give the prediction of damage based on the selection of area,category, and flood depth. |
| first_indexed | 2025-11-15T03:13:00Z |
| format | Conference or Workshop Item |
| id | ump-34173 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:13:00Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-341732022-05-19T09:10:54Z http://umpir.ump.edu.my/id/eprint/34173/ Flood damage prediction system for disaster risk reduction Noor Suraya, Romali Nadiatul Adilah, Ahmad Abdul Ghani T Technology (General) TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics FDAPS is a flood damage prediction system capable to forecast the expected value of flood damage corresponding to the flood depth for a flood event. It is solely based on the damage data collected from major flood event for the respective location. The flood damage is described as a percentage of the total value of the damaged property, hence it can be used for any flood event. FDAPS give the prediction of damage based on the selection of area,category, and flood depth. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34173/1/Flood%20damage%20prediction%20system%20for%20disaster%20risk%20reduction.CITREX2021..pdf Noor Suraya, Romali and Nadiatul Adilah, Ahmad Abdul Ghani (2021) Flood damage prediction system for disaster risk reduction. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published) |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics Noor Suraya, Romali Nadiatul Adilah, Ahmad Abdul Ghani Flood damage prediction system for disaster risk reduction |
| title | Flood damage prediction system for disaster risk reduction |
| title_full | Flood damage prediction system for disaster risk reduction |
| title_fullStr | Flood damage prediction system for disaster risk reduction |
| title_full_unstemmed | Flood damage prediction system for disaster risk reduction |
| title_short | Flood damage prediction system for disaster risk reduction |
| title_sort | flood damage prediction system for disaster risk reduction |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/34173/ http://umpir.ump.edu.my/id/eprint/34173/1/Flood%20damage%20prediction%20system%20for%20disaster%20risk%20reduction.CITREX2021..pdf |