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Mobile application for field knowledge data of urban river catchment decision support system

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dc.citedby2
dc.contributor.authorUsman F.en_US
dc.contributor.authorOmar R.C.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorid55812540000en_US
dc.contributor.authorid35753735300en_US
dc.contributor.authorid35070506500en_US
dc.date.accessioned2023-05-16T02:46:26Z
dc.date.available2023-05-16T02:46:26Z
dc.date.issued2014
dc.description.abstractWater quality monitoring in urban area is a must. Regard to development and increasing of population due to urbanization, it has catapulting degradation effect to water quality of river. River Penchala is one of main river in Klang basin flows crossing urban area where diverse land use established. From historical data on its water quality, River Penchala was facing very polluted water with Water Quality Index range from III to V. Data on water quality periodically collected from several measurement stations along this river but analysis and interpretation of those information require appropriate strategy to implement the correct technique and/or procedure in order to improve the water quality of the river. This paper present development of mobile application for field knowledge data collection to be used by a decision support system. Previous methods on development of water quality decision support system are also discussed. At the end of this paper an initial framework of decision support system for River Penchala river catchment will be presented.en_US
dc.description.natureFinalen_US
dc.identifier.epage544
dc.identifier.issueJanuary
dc.identifier.scopus2-s2.0-84938217745
dc.identifier.spage540
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84938217745&partnerID=40&md5=d2866c4c55ed21bce3534830cb01fce7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21980
dc.identifier.volume2209
dc.publisherNewswood Limiteden_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Engineering and Computer Science
dc.titleMobile application for field knowledge data of urban river catchment decision support systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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