Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia

Bibliographic Details
Format: Restricted Document
_version_ 1860799511934271488
building INTELEK Repository
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2017-07-21 17:31:51
eventvenue Kaohsiung
format Restricted Document
id 6287
institution UniSZA
originalfilename 1125-01-FH03-ESERI-18-12633.pdf
person Adobe InDesign CS6 (Windows)
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6287
spelling 6287 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6287 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 19 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Adobe InDesign CS6 (Windows) 2017-07-21 17:31:51 xmp.id:EFA0225B0C6EE7118958DF2A8059E8C6 1125-01-FH03-ESERI-18-12633.pdf UniSZA Private Access Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia Stream classification system identified the characteristic of stream on the basin. Stream behaviors can provide guidance for future problem in this basin. This study discusses on the development of stream classification system on tropical areas with statistical approval based on remote sensing, geographical information system, and river hydrographic survey based on Rosgen classification system. Pahang River Basin is the longest river in Peninsular Malaysia and the main channel to drain off water from the inundated area of Pahang Basin to the South China Sea. The environmental statistical techniques were used to identify the clustering development on the tropical river system using hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA) and principal component analysis (PCA). The HACA results indicated that the main of Pahang tropical river system is classed into three main clusters namely the upstream reach, middle stream reach and downstream reach. The calibration and validation analyses proved the DA with 100% confident level. The PCA indicates three variables demonstrated significant correlations that are domination slope R2 = 0.796, bankfull width-to-depth ratio R2 = −0868, and sinuosity R2 = 0.557, respectively. Model of stream classification system with future geomorphology process and problem expectations is produced where the first class considered in terrace and valley erosion zone, second class in a low terrace of land near the channels and sediment transports zone, and third class in valley deposition and floodplain zone. The results are important to local authorities as a decision support system using the river clustering model for Pahang River Basin International Conference on Challenges in Environmental Science & Engineering Kaohsiung
spellingShingle Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
summary Stream classification system identified the characteristic of stream on the basin. Stream behaviors can provide guidance for future problem in this basin. This study discusses on the development of stream classification system on tropical areas with statistical approval based on remote sensing, geographical information system, and river hydrographic survey based on Rosgen classification system. Pahang River Basin is the longest river in Peninsular Malaysia and the main channel to drain off water from the inundated area of Pahang Basin to the South China Sea. The environmental statistical techniques were used to identify the clustering development on the tropical river system using hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA) and principal component analysis (PCA). The HACA results indicated that the main of Pahang tropical river system is classed into three main clusters namely the upstream reach, middle stream reach and downstream reach. The calibration and validation analyses proved the DA with 100% confident level. The PCA indicates three variables demonstrated significant correlations that are domination slope R2 = 0.796, bankfull width-to-depth ratio R2 = −0868, and sinuosity R2 = 0.557, respectively. Model of stream classification system with future geomorphology process and problem expectations is produced where the first class considered in terrace and valley erosion zone, second class in a low terrace of land near the channels and sediment transports zone, and third class in valley deposition and floodplain zone. The results are important to local authorities as a decision support system using the river clustering model for Pahang River Basin
title Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
title_full Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
title_fullStr Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
title_full_unstemmed Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
title_short Development of stream classification system on tropical areas with statistical approval in Pahang River basin, Malaysia
title_sort development of stream classification system on tropical areas with statistical approval in pahang river basin, malaysia