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

Water 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....

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Main Authors: Usman F., Omar R.C., Sidek L.M.
Other Authors: 55812540000
Format: Conference Paper
Published: Newswood Limited 2023
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spelling my.uniten.dspace-219802023-05-16T10:46:26Z Mobile application for field knowledge data of urban river catchment decision support system Usman F. Omar R.C. Sidek L.M. 55812540000 35753735300 35070506500 Water 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. Final 2023-05-16T02:46:26Z 2023-05-16T02:46:26Z 2014 Conference Paper 2-s2.0-84938217745 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938217745&partnerID=40&md5=d2866c4c55ed21bce3534830cb01fce7 https://irepository.uniten.edu.my/handle/123456789/21980 2209 January 540 544 Newswood Limited Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Water 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.
author2 55812540000
author_facet 55812540000
Usman F.
Omar R.C.
Sidek L.M.
format Conference Paper
author Usman F.
Omar R.C.
Sidek L.M.
spellingShingle Usman F.
Omar R.C.
Sidek L.M.
Mobile application for field knowledge data of urban river catchment decision support system
author_sort Usman F.
title Mobile application for field knowledge data of urban river catchment decision support system
title_short Mobile application for field knowledge data of urban river catchment decision support system
title_full Mobile application for field knowledge data of urban river catchment decision support system
title_fullStr Mobile application for field knowledge data of urban river catchment decision support system
title_full_unstemmed Mobile application for field knowledge data of urban river catchment decision support system
title_sort mobile application for field knowledge data of urban river catchment decision support system
publisher Newswood Limited
publishDate 2023
_version_ 1806424576303824896
score 13.222552

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