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dc.contributorHassan, Sawsanen_US
dc.contributorEtteieb, Selmaen_US
dc.creatorLouhaichi, Mouniren_US
dc.date2013-11-26en_US
dc.date.accessioned2017-07-23T22:14:24Z
dc.date.available2017-07-23T22:14:24Z
dc.identifierhttp://ajbasweb.com/old/ajbas/2013/June/868-874.pdfen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/oJUIUIp7en_US
dc.identifier.citationMounir Louhaichi, Sawsan Hassan, Selma Etteieb. (26/11/2013). Assessing the risk of flooding in Central Tunisia. Australian journal of basic and applied sciences / International network for scientific information; INSInet, 7 (8), pp. 868-874.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7197
dc.description.abstractDigital elevation models (DEM) can be used to derive a wealth of information about land surface morphology. When analyzed using GIS information about stream channels and watersheds it can determine the flow of water over the Earth’s surface. Manipulation, analysis, and graphic presentation of the flooding risk and hazard data can be done within a GIS system, and their spatial interrelationships can be determined and used for computer based risk assessment models. We used panchromatic 10m SPOT and 30m Landsat 7 images to digitize stream channels, dry washes, and salt flats in the central part of Tunisia. We then employed a DEM with a resolution of 90m to determine watersheds and theoretical surface water flow patterns. Watersheds were determined using a minimum surface area of 65km2. We analyzed the DEM by removing pits then determining cells that received runoff assuming an impervious surface. The areas receiving runoff were then classified into cells receiving high, moderate, and low amounts of runoff precipitation. Areas receiving high amounts were considered “at risk” for flooding. Generated maps can be used by government planners and insurance companies to identify areas prone to flooding and encourage citizens to avoid building on these high risk sites.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherInternational network for scientific information; INSIneten_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceAustralian journal of basic and applied sciences / International network for scientific information; INSInet;7,(2013) Pagination 868,874en_US
dc.subjectdigital elevation model (dem)en_US
dc.subjecthydrological unitsen_US
dc.subjectmap of flood risken_US
dc.titleAssessing the risk of flooding in Central Tunisiaen_US
dc.typeJournal Articleen_US
cg.creator.idLouhaichi, Mounir: 0000-0002-4543-7631en_US
cg.creator.idHassan, Sawsan: 0000-0002-5057-8957en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocgisen_US
cg.subject.agrovocremote sensingen_US
cg.subject.agrovocrisk assessmenten_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Centre for Advanced Mediterranean Agronomic Studies, Mediterranean Agronomic Institute of Chania - CIHEAM - IMACen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionNorthern Africaen_US
cg.coverage.countryTNen_US
cg.contactm.louhaichi@cgiar.orgen_US
dc.identifier.statusOpen accessen_US


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