Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map

Remote sensing, Geographic Information System (GIS) and electrical resistivity technique were used in this study to develop the site suitability map for river bank filtration (RBF) locations for a case study in Jenderam Hilir, Dengkil. A high resolution 2012 GeoEye-1 satellite image was classified i...

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Main Author: Yusoh , Rais
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.usm.my/41059/1/RAIS_BIN_YUSOH_24_Pages.pdf
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author Yusoh , Rais
author_facet Yusoh , Rais
author_sort Yusoh , Rais
collection USM
description Remote sensing, Geographic Information System (GIS) and electrical resistivity technique were used in this study to develop the site suitability map for river bank filtration (RBF) locations for a case study in Jenderam Hilir, Dengkil. A high resolution 2012 GeoEye-1 satellite image was classified into six classes using the supervised maximum likelihood classification process. The classified image was further analyzed using GIS technique such as overlaying, buffering and Boolean analysis, to identify the suitability of a RBF location area based on location, distance from the river and distance from built up area. The classified image results show that the overall accuracy is 89% with kappa statistic of 0.864. For the subsurface profile, the electrical images method was used for investigating the aquifer existence and to evaluating the extent of soil subsurface. Electrical-imaging resistivity results showed the lithology of sandy clay to sandy silt sediments at more than 3 m deep. From the inverse model of resistivity variation with depth indicated the occurrence of potential aquifer mostly in silty sand zones within the traps and below it. Based on lithology, a potential water-bearing aquifer was identified at a depth of 3 m depth which is good agreement with interpreted results. A site suitability map was developed and RBF locations were identified. The suitability map also coincides with the existing borehole location at study area.
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spelling usm.eprints-410592018-07-17T04:06:44Z http://eprints.usm.my/41059/ Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map Yusoh , Rais TA1-2040 Engineering (General). Civil engineering (General) Remote sensing, Geographic Information System (GIS) and electrical resistivity technique were used in this study to develop the site suitability map for river bank filtration (RBF) locations for a case study in Jenderam Hilir, Dengkil. A high resolution 2012 GeoEye-1 satellite image was classified into six classes using the supervised maximum likelihood classification process. The classified image was further analyzed using GIS technique such as overlaying, buffering and Boolean analysis, to identify the suitability of a RBF location area based on location, distance from the river and distance from built up area. The classified image results show that the overall accuracy is 89% with kappa statistic of 0.864. For the subsurface profile, the electrical images method was used for investigating the aquifer existence and to evaluating the extent of soil subsurface. Electrical-imaging resistivity results showed the lithology of sandy clay to sandy silt sediments at more than 3 m deep. From the inverse model of resistivity variation with depth indicated the occurrence of potential aquifer mostly in silty sand zones within the traps and below it. Based on lithology, a potential water-bearing aquifer was identified at a depth of 3 m depth which is good agreement with interpreted results. A site suitability map was developed and RBF locations were identified. The suitability map also coincides with the existing borehole location at study area. 2015 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41059/1/RAIS_BIN_YUSOH_24_Pages.pdf Yusoh , Rais (2015) Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map. Masters thesis, Universiti Sains Malaysia.
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Yusoh , Rais
Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title_full Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title_fullStr Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title_full_unstemmed Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title_short Site Characterization Of Surface And Sub-Surface Spatial Data In Producing Riverbank Filtration Site Suitability Map
title_sort site characterization of surface and sub surface spatial data in producing riverbank filtration site suitability map
topic TA1-2040 Engineering (General). Civil engineering (General)
url http://eprints.usm.my/41059/1/RAIS_BIN_YUSOH_24_Pages.pdf
work_keys_str_mv AT yusohrais sitecharacterizationofsurfaceandsubsurfacespatialdatainproducingriverbankfiltrationsitesuitabilitymap