Assessment of land use change and sedimentation modelling on environmental health in Tropical river

© 2015, Malaysian Society of Analytical Sciences. All rights reserved. Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam...

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Main Authors: Mohd Ekhwan Toriman, Mohd Khairul Amri Kamarudin, Thudchai Sansena, Kampand Bhaktikuld, Roslan Umar, Asyaari Muhamad, Nor Azlina Abd Aziz, Nur Hishaam Sulaiman
Other Authors: Universiti Sultan Zainal Abidin
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/35781
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spelling th-mahidol.357812018-11-23T16:59:35Z Assessment of land use change and sedimentation modelling on environmental health in Tropical river Mohd Ekhwan Toriman Mohd Khairul Amri Kamarudin Thudchai Sansena Kampand Bhaktikuld Roslan Umar Asyaari Muhamad Nor Azlina Abd Aziz Nur Hishaam Sulaiman Universiti Sultan Zainal Abidin Universiti Kebangsaan Malaysia Geo-Informatics and Space Technology Department Agency Mahidol University Chemistry © 2015, Malaysian Society of Analytical Sciences. All rights reserved. Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam Phra Phloeng reservoir by using the Neuro-genetic Optimizer model to calculate the sediment volume from runoff, rainfall, and sediment volume data. The results from satellite imagery interpretation elucidated that from 2002 to 2005, forest area decreased approximately 50,220 km2or 36%, and was converted to agricultural land. By applying the USLE equation, the soil erosion area was found to increase approximately 185,341 tons/year between 2002 and 2005. This result illustrated that the impact of land use change greatly increased sedimentation volume. In applying the Neuro-genetic Optimizer model, the learning rate and momentum of this model was 0.9 and 0.1, respectively, and the initial weight value was +/-3. The model forecasted the annual sediment volume in the Lam Phra Phloeng reservoir in 2005 to be 49,855 tons with R2equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2equals to 0.9974, and the annual sediment volume was estimated to be 45,346 tons. The actual sediment volume in the reservoir in 2005 was obtained from The Royal Irrigation Department, which was found to be 48,697 tons. 2018-11-23T09:59:35Z 2018-11-23T09:59:35Z 2015-01-01 Article Malaysian Journal of Analytical Sciences. Vol.19, No.6 (2015), 1335-1347 13942506 2-s2.0-84949767639 https://repository.li.mahidol.ac.th/handle/123456789/35781 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949767639&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Chemistry
spellingShingle Chemistry
Mohd Ekhwan Toriman
Mohd Khairul Amri Kamarudin
Thudchai Sansena
Kampand Bhaktikuld
Roslan Umar
Asyaari Muhamad
Nor Azlina Abd Aziz
Nur Hishaam Sulaiman
Assessment of land use change and sedimentation modelling on environmental health in Tropical river
description © 2015, Malaysian Society of Analytical Sciences. All rights reserved. Sediments are defined as the organic and inorganic materials or solid fragments derived from the weathering processes of sand, pebbles, silt, mud and loess. The objective of this research is to forecast sediment volume in the Lam Phra Phloeng reservoir by using the Neuro-genetic Optimizer model to calculate the sediment volume from runoff, rainfall, and sediment volume data. The results from satellite imagery interpretation elucidated that from 2002 to 2005, forest area decreased approximately 50,220 km2or 36%, and was converted to agricultural land. By applying the USLE equation, the soil erosion area was found to increase approximately 185,341 tons/year between 2002 and 2005. This result illustrated that the impact of land use change greatly increased sedimentation volume. In applying the Neuro-genetic Optimizer model, the learning rate and momentum of this model was 0.9 and 0.1, respectively, and the initial weight value was +/-3. The model forecasted the annual sediment volume in the Lam Phra Phloeng reservoir in 2005 to be 49,855 tons with R2equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2equals to 0.9974, and the annual sediment volume was estimated to be 45,346 tons. The actual sediment volume in the reservoir in 2005 was obtained from The Royal Irrigation Department, which was found to be 48,697 tons.
author2 Universiti Sultan Zainal Abidin
author_facet Universiti Sultan Zainal Abidin
Mohd Ekhwan Toriman
Mohd Khairul Amri Kamarudin
Thudchai Sansena
Kampand Bhaktikuld
Roslan Umar
Asyaari Muhamad
Nor Azlina Abd Aziz
Nur Hishaam Sulaiman
format Article
author Mohd Ekhwan Toriman
Mohd Khairul Amri Kamarudin
Thudchai Sansena
Kampand Bhaktikuld
Roslan Umar
Asyaari Muhamad
Nor Azlina Abd Aziz
Nur Hishaam Sulaiman
author_sort Mohd Ekhwan Toriman
title Assessment of land use change and sedimentation modelling on environmental health in Tropical river
title_short Assessment of land use change and sedimentation modelling on environmental health in Tropical river
title_full Assessment of land use change and sedimentation modelling on environmental health in Tropical river
title_fullStr Assessment of land use change and sedimentation modelling on environmental health in Tropical river
title_full_unstemmed Assessment of land use change and sedimentation modelling on environmental health in Tropical river
title_sort assessment of land use change and sedimentation modelling on environmental health in tropical river
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/35781
_version_ 1763494648121131008