Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/11360
DC FieldValueLanguage
dc.contributor.authorChow, M.F.en_US
dc.contributor.authorJamil, M.M.en_US
dc.date.accessioned2018-12-14T02:42:57Z-
dc.date.available2018-12-14T02:42:57Z-
dc.date.issued2017-
dc.description.abstractFlooding problem is becoming more frequent, intense and less predictable in the last century as a consequence of changing climate conditions including shifts in precipitation, soil moisture and land uses. Lack of hydrological data and catchment information has becomes great challenges for the local authorities to set up the flood early warning system in many developing countries. Thus, Integrated Flood Analysis System (IFAS) is developed to forecast the flood event in insufficiently gauged catchments. IFAS Software is able to improve the accuracy of lead time of flood forecast and thus reduce the vulnerability to flood disaster. IFAS can automatically collect the geographical data, soil type, land uses and satellite rainfall data to set up the river basin model for flood simulations. This study reviews the development and applications of IFAS at several river basins with different catchment characteristics in Asian countries. © Medwell Journals, 2017.
dc.language.isoenen_US
dc.titleReview of development and applications of Integrated Flood Analysis System (IFAS) for flood forecasting in insufficiently-gauged catchmentsen_US
dc.typeArticleen_US
dc.identifier.doi10.3923/jeasci.2017.9210.9215-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:UNITEN Scholarly Publication
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.