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dc.contributor.authorJenny Kuihoon, Kulu
dc.contributor.authorMah, Darrien Yau Seng
dc.contributor.authorFrederik, Josep Putuhena, Prof. Dr.
dc.contributor.authorSalim, Said, Prof. Dr.
dc.date.accessioned2011-09-14T16:47:10Z
dc.date.available2011-09-14T16:47:10Z
dc.date.issued2007-12
dc.identifier.citationThe Journal of the Institution of Engineers, Malaysia, vol. 68(4), 2007, pages 41-46en_US
dc.identifier.issn0126-513X
dc.identifier.urihttp://myiem.org.my/content/iem_journal_2007-178.aspx
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/13760
dc.descriptionLink to publisher's homepage at http://www.myiem.org.my/en_US
dc.description.abstractSungai Maong catchment is one river basin with the worst flooding history in Kuching City. Post-flood forensic analysis outlined in this paper presented an approach using a hydrodynamic model – InfoWorks River Simulation (RS) coupled with its GIS applications, to identify the amount and location of the flooded areas. Results demonstrate that InfoWorks RS model is satisfactorily capable of providing a clear picture of the January 2000 flood event being simulated, highlighting the flooding where the floodwater flows outside the river channel and its pattern of spread. The model has successfully identified the flood behaviors and areas for improvement in respect to flooding in Sungai Maong catchment. The approach served as a demonstration tool for government agencies and communities to safeguard against future floods and recovery problems in Sungai Maong catchment as well as in the state of Sarawak.en_US
dc.language.isoenen_US
dc.publisherThe Institution of Engineers, Malaysiaen_US
dc.subjectFlooden_US
dc.subjectPost-flood analysisen_US
dc.subjectForensicen_US
dc.subjectInfoWorks RSen_US
dc.subjectSungai Maongen_US
dc.subjectKuching Cityen_US
dc.titlePost-flood forensic analysis of Sungai Maong using InfoWorks ™ River Simulation (RS)en_US
dc.typeArticleen_US
dc.contributor.urldarrien_mah@yahoo.co.uken_US


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