The Effects of Improved Land Use on the Meteorological Modeling in Klang Valley Region Malaysia

dc.contributor.authorChng, Loi Kok
dc.contributor.authorAbdullah, Ahmad Makmom
dc.contributor.authorSulaiman, Wan Nor Azmin
dc.contributor.authorRamli, Mohammad Firuz
dc.coverage.countryMalaysiaen_US
dc.coverage.regionPacific and Australiaen_US
dc.date.accessioned2011-02-02T17:41:47Z
dc.date.available2011-02-02T17:41:47Z
dc.date.issued2010en_US
dc.description.abstract"It has been widely known that changes of the land surface from vegetation area to urban area can substantially affect the surrounding meteorological condition. Meteorological model was used to assess meteorological condition for air quality modeling and forecasting. Inputs used in this study for the meteorological and air quality model were land use and land cover of the terrain. This study tends to examine the sensitivity of land use and land cover on the predicted meteorological conditions. A meteorological simulation using fifth generation mesoscale model (MM5) by Penn State/NCAR was used to compare the effects of land use from two different years on meteorological condition. The predicted meteorological conditions were then compared with the respective monitoring station onsite. Results showed there is an improved of surface wind speed and temperature simulated using improved land use map. Findings suggest land use map should be taking into consideration in historical meteorological fields to access future air quality if the area of study expects large changes in land use pattern."en_US
dc.identifier.citationjournalEnvironment Asiaen_US
dc.identifier.citationpages117-123en_US
dc.identifier.citationvolume3en_US
dc.identifier.urihttps://hdl.handle.net/10535/6964
dc.languageEnglishen_US
dc.subjectland tenure and useen_US
dc.subjectmodelingen_US
dc.subjecturban affairsen_US
dc.subject.sectorLand Tenure & Useen_US
dc.titleThe Effects of Improved Land Use on the Meteorological Modeling in Klang Valley Region Malaysiaen_US
dc.typeJournal Articleen_US
dc.type.methodologyCase Studyen_US
dc.type.publishedpublisheden_US

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