Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies

Remote sensing techniques have been used in various applications including agriculture, forestry, oceanography and environmental studies. This study was carried out using remote sensing techniques and hydrological modeling for flood prediction in the Klang Valley. The remote sensing satellite data t...

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Main Authors: Seeni Mohd , Mohd Ibrahim, Mansor , Mohd Adli
Format: Article
Language:English
Published: 2000
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Online Access:http://eprints.utm.my/id/eprint/2039/1/Application_of_RS_and_hydro.pdf
http://eprints.utm.my/id/eprint/2039/
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spelling my.utm.20392010-06-01T03:00:26Z http://eprints.utm.my/id/eprint/2039/ Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies Seeni Mohd , Mohd Ibrahim Mansor , Mohd Adli Q Science (General) G Geography (General) Remote sensing techniques have been used in various applications including agriculture, forestry, oceanography and environmental studies. This study was carried out using remote sensing techniques and hydrological modeling for flood prediction in the Klang Valley. The remote sensing satellite data that were used is the Landsat-5 Thematic Mapper (TM) data whilst the flood prediction is based on the U.S. Soil Conservation Service Technical Release 55 (SCS TR-55) model. This model involves the calculation of runoff from Curve Number (CN) that relate to landuse, soil type, hydrological conditions and soil moisture. In the determination of runoff, landuse information were derived from the Landsat-5 TM data and landuse maps. The runoff values were used in the calculation of concentration time, peak discharge and bankfull discharge. The peak discharge was calculated by the graphical method of SCS TR-55 model whilst the bankfull discharge was derived from the slope area method. Flood occurrence was determine by comparing the peak discharge values with bankfull discharge values. Flooding occurs if the peak discharge exceeds the bankfull discharge. In this study, watershed areas were generated and the area that would be flooded for specific amount of rainfall were determined using remote sensing techniques and the SCS TR-55 model. The results that were obtained are encouraging and indicate the potential of using remote sensing techniques with hydrological modeling for flood prediction. 2000-07 Article NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2039/1/Application_of_RS_and_hydro.pdf Seeni Mohd , Mohd Ibrahim and Mansor , Mohd Adli (2000) Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies. Malaysian Journal of Remote Sensing & GIS, 1 . pp. 91-98. ISSN 1511-7049
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic Q Science (General)
G Geography (General)
spellingShingle Q Science (General)
G Geography (General)
Seeni Mohd , Mohd Ibrahim
Mansor , Mohd Adli
Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
description Remote sensing techniques have been used in various applications including agriculture, forestry, oceanography and environmental studies. This study was carried out using remote sensing techniques and hydrological modeling for flood prediction in the Klang Valley. The remote sensing satellite data that were used is the Landsat-5 Thematic Mapper (TM) data whilst the flood prediction is based on the U.S. Soil Conservation Service Technical Release 55 (SCS TR-55) model. This model involves the calculation of runoff from Curve Number (CN) that relate to landuse, soil type, hydrological conditions and soil moisture. In the determination of runoff, landuse information were derived from the Landsat-5 TM data and landuse maps. The runoff values were used in the calculation of concentration time, peak discharge and bankfull discharge. The peak discharge was calculated by the graphical method of SCS TR-55 model whilst the bankfull discharge was derived from the slope area method. Flood occurrence was determine by comparing the peak discharge values with bankfull discharge values. Flooding occurs if the peak discharge exceeds the bankfull discharge. In this study, watershed areas were generated and the area that would be flooded for specific amount of rainfall were determined using remote sensing techniques and the SCS TR-55 model. The results that were obtained are encouraging and indicate the potential of using remote sensing techniques with hydrological modeling for flood prediction.
format Article
author Seeni Mohd , Mohd Ibrahim
Mansor , Mohd Adli
author_facet Seeni Mohd , Mohd Ibrahim
Mansor , Mohd Adli
author_sort Seeni Mohd , Mohd Ibrahim
title Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
title_short Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
title_full Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
title_fullStr Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
title_full_unstemmed Application of Remote Sensing and Hydrological Modelling in Flood Prediction Studies
title_sort application of remote sensing and hydrological modelling in flood prediction studies
publishDate 2000
url http://eprints.utm.my/id/eprint/2039/1/Application_of_RS_and_hydro.pdf
http://eprints.utm.my/id/eprint/2039/
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score 13.211869