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1860797426004131840
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2015-12-30 16:15:00
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Restricted Document
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12667
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UniSZA
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1. Biswas, A. K., (1999). Management of international water: Opportunities and constraints. Journal of Water Resource Development. 15(4): 429-441. 2. Kamarudin, M. K. A., Toriman, M. E., Rosli, M. H., Juahir, H., Azid, A., Mohamed Zainuddin, S. F., Abdul Aziz, N. A. and Sulaiman, W. N. A., (2014). Analysis of meander evolution studies on effect from land use and climate change at upstream reach of Pahang River, Malaysia. Mitigation and Adaptation Strategies for Global Change : 1- 10 3. Toriman, M. E., Gasim, M.B., Yusop, Z., Shahid, I., Mastura, S.A.S., Abdullah, P., Jaafar, M., Aziz, N.A.A., Kamarudin, M. K. A., Jaafar, O., Karim, O., Juahir, H. and Jami, N.R., (2012). Use of 137Cs activity to investigate sediment movement and transport modeling in river coastal environment. American Journal of Environmental Science 8: 417-423. 4. Jaafar. O., Toriman, M.E., Idris, M., Sharifah Mastura, S.A., Juahir, H., Abdul Aziz, N.A., Kamarudin, M.K.A. and Jamil, N.R., (2010). Study of water level-discharge relationship using artificial neural network (ANN) in Sungai Gumum, Tasik Chini, Pahang, Malaysia. Research Journal of Applied Sciences. 5(1): 20-26. 5. Jaafar, O., Toriman, M. E., Sharifah Mastura, S. A., Gazim, M. B., Lan, P. I., Abdullah, P., Kamarudin, M. K. A. and Abdul Aziz, N.A., (2010). Modeling the impacts of ringlet reservoir on downstream hydraulic capacity of Bertam River using XPSWMM in Cameron Highlands, Malaysia. Research Journal of Applied Sciences 5(2): 47-53. 6. Wischmeier, and Smith, D.D., (1978). Predicting Rainfall Erosion Losses; A Guide to conservation planning. Agriculture. Handbook No.537, USDA, Washington, DC, pp. 57. 7. Hickin, E.J., (1983). River Channel Changes: Retrospect and Prospect. In: River Channel Changes. Modern and Ancient. Fluvial System, Collinson, J.D. and J. Lewin (Eds.), Blackwell Scientific. London. pp: 61-83. 8. Parveen, R. and Kumar, U., (2012). Integrated approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for soil loss risk assessment in Upper South Koel Basin, Jharkhand. Journal of Geographic Information System. 4: 588-596. 9. Ghosh, S. and Guchhait, S.K. (2012). Soil loss estimation through USLE and MMF methods in the lateritic ttracts of Eastern Plateau Fringe of Rajmahal Traps, India. Ethiopian Journal of Environmental Studies and Management. 5(4): 529 – 541. 10. Li H., Chen X., Kyoung J. L., Cai X. and Myung S. (2010). Assessment of soil erosion and sediment yield in Liao Watershed, Jiangxi Province, China, using USLE, GIS, and RS. Journal of Earth Science. 21(6): 941–953. 11. Zhang Q., Yuan L. and Andreas M. (2008). GIS-based approach for change and prediction of soil erosion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 36: 859 – 864. 12. Kim K.T., Kim, J.H., Park, J.S., Choi, Y.S., (2005). Analysis of soil erosion hazard zone in Farmland. proceedings.esri.com,http://proceedings.esri.com/library/userconf/proc05/papers/pap1834.pdf 13. Mutalib, S. N. Rahim, S. A., Juahir, H., Azid, A., Sharif, S.M., Latif, M.T., Aris, A.Z., Zain, S.M., and Dominick, D. (2013). Spatial and temporal air quality pattern recognition using environmetric techniques: A case study in Malaysia. Environmental Science: Processes Impacts. 15: 1717-1728. 14. Azid, A., Juahir, H., Latif, M.T., Zain, S. M. and Osman, M. R. (2013). Feed-forward artificial neural network model for air pollutant index prediction in the Southern Region of Peninsular Malaysia. Journal of Environmental Protection 4(12A): 1-10. 15. Shukla, K. K., (2000). Neuro-genetic prediction of software development effort. Information and Software Technology 42 (10): 701–713. 16. Toriman, M.E., Ata, F. M., Kamarudin M. K. A. and Idris, M. (2013). Bed-load sediment profile and effect of river bank erosion on river cross-section. American Journal Environmental Sciences 6: 292-300. 17. Lun P. I., Gasim, M. B., Toriman, M.E., Rahim, S. A., Kamarudin, M. K. A., (2011). Hydrological pattern of Pahang river basin and their relation to flood historical event. e-BANGI. 4(1): 29-37. 18. Toriman, M. E., Lee Q. Y., Kamarudin, M. K. A., Aziz, N. A. A., Mokhtar, M., Elfithri, R. and Bhaktiku, K. (2014). Applying Seasonal Climate Trends To Agricultural Production In Tanjung Karang, Malaysia. American Journal Agriculture Biological Sciences 9 (1): 119-126. 19. Kamarudin, M. K. A., Idris, M. and Toriman, M. E. (2013). Analysis of Leptobarbus hoevenii in control environment at natural lakes. American Journal Agriculture Biological Sciences 8: 142-148. 20. Gasim, M.B., Ismail, B.S., Sajaul Islam-Mir, Rahim, S.A. and Toriman, M.E., (2011). The physico-physical properties of four soil series in Tasik Chini, Pahang Malaysia. Asean Journal of Earth Sciences. 1-10. 21. Kamarudin, M. K. A., Toriman, M. E., Sharifah Mastura, S. A., Idris, M., Jamil, N. R. and Gasim, M.B., (2009). Temporal variability on lowland river sediment properties and yield. American Journal of Environmental Sciences 5(5): 657-663. 22. Juahir, H., Sharifuddin, M. Z., Mazlin, M., Toriman, M. E., Jalaludin, Z. and Jan, I.K.M., (2008). The use of chemometrics analysis as a cost-effective tool in sustainable utilisation of water resources in the Langat River catchment, Malaysia. American-Eurasian Journal of Agriculture and Environmental Science 4(2): 258-265. 23. Gasim, M. B., Toriman, M. E., Rahim, S. A., Mir Sujaul Islam, Chek, T. C. and Juahir, H., (2006). Hydrology and water quality assessment of Tasik Chini’s feeder rivers, Pahang Malaysia. Geografia 3 (3): 1-16.
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norman
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oai_dc
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12667 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12667 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 767 96 96 norman 1414 61 61 2015-12-30 16:15:00 1414x767 6974-01-FH02-ESERI-15-04696.jpg UniSZA Private Access Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika] Malaysian Journal of Analytical Sciences 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 km2 or 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 R2 equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2 equals 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. 19 6 Malaysian Society of Analytical Sciences Malaysian Society of Analytical Sciences 1335-1347 1. Biswas, A. K., (1999). Management of international water: Opportunities and constraints. Journal of Water Resource Development. 15(4): 429-441. 2. Kamarudin, M. K. A., Toriman, M. E., Rosli, M. H., Juahir, H., Azid, A., Mohamed Zainuddin, S. F., Abdul Aziz, N. A. and Sulaiman, W. N. A., (2014). Analysis of meander evolution studies on effect from land use and climate change at upstream reach of Pahang River, Malaysia. Mitigation and Adaptation Strategies for Global Change : 1- 10 3. Toriman, M. E., Gasim, M.B., Yusop, Z., Shahid, I., Mastura, S.A.S., Abdullah, P., Jaafar, M., Aziz, N.A.A., Kamarudin, M. K. A., Jaafar, O., Karim, O., Juahir, H. and Jami, N.R., (2012). Use of 137Cs activity to investigate sediment movement and transport modeling in river coastal environment. American Journal of Environmental Science 8: 417-423. 4. Jaafar. O., Toriman, M.E., Idris, M., Sharifah Mastura, S.A., Juahir, H., Abdul Aziz, N.A., Kamarudin, M.K.A. and Jamil, N.R., (2010). Study of water level-discharge relationship using artificial neural network (ANN) in Sungai Gumum, Tasik Chini, Pahang, Malaysia. Research Journal of Applied Sciences. 5(1): 20-26. 5. Jaafar, O., Toriman, M. E., Sharifah Mastura, S. A., Gazim, M. B., Lan, P. I., Abdullah, P., Kamarudin, M. K. A. and Abdul Aziz, N.A., (2010). Modeling the impacts of ringlet reservoir on downstream hydraulic capacity of Bertam River using XPSWMM in Cameron Highlands, Malaysia. Research Journal of Applied Sciences 5(2): 47-53. 6. Wischmeier, and Smith, D.D., (1978). Predicting Rainfall Erosion Losses; A Guide to conservation planning. Agriculture. Handbook No.537, USDA, Washington, DC, pp. 57. 7. Hickin, E.J., (1983). River Channel Changes: Retrospect and Prospect. In: River Channel Changes. Modern and Ancient. Fluvial System, Collinson, J.D. and J. Lewin (Eds.), Blackwell Scientific. London. pp: 61-83. 8. Parveen, R. and Kumar, U., (2012). Integrated approach of Universal Soil Loss Equation (USLE) and Geographical Information System (GIS) for soil loss risk assessment in Upper South Koel Basin, Jharkhand. Journal of Geographic Information System. 4: 588-596. 9. Ghosh, S. and Guchhait, S.K. (2012). Soil loss estimation through USLE and MMF methods in the lateritic ttracts of Eastern Plateau Fringe of Rajmahal Traps, India. Ethiopian Journal of Environmental Studies and Management. 5(4): 529 – 541. 10. Li H., Chen X., Kyoung J. L., Cai X. and Myung S. (2010). Assessment of soil erosion and sediment yield in Liao Watershed, Jiangxi Province, China, using USLE, GIS, and RS. Journal of Earth Science. 21(6): 941–953. 11. Zhang Q., Yuan L. and Andreas M. (2008). GIS-based approach for change and prediction of soil erosion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 36: 859 – 864. 12. Kim K.T., Kim, J.H., Park, J.S., Choi, Y.S., (2005). Analysis of soil erosion hazard zone in Farmland. proceedings.esri.com,http://proceedings.esri.com/library/userconf/proc05/papers/pap1834.pdf 13. Mutalib, S. N. Rahim, S. A., Juahir, H., Azid, A., Sharif, S.M., Latif, M.T., Aris, A.Z., Zain, S.M., and Dominick, D. (2013). Spatial and temporal air quality pattern recognition using environmetric techniques: A case study in Malaysia. Environmental Science: Processes Impacts. 15: 1717-1728. 14. Azid, A., Juahir, H., Latif, M.T., Zain, S. M. and Osman, M. R. (2013). Feed-forward artificial neural network model for air pollutant index prediction in the Southern Region of Peninsular Malaysia. Journal of Environmental Protection 4(12A): 1-10. 15. Shukla, K. K., (2000). Neuro-genetic prediction of software development effort. Information and Software Technology 42 (10): 701–713. 16. Toriman, M.E., Ata, F. M., Kamarudin M. K. A. and Idris, M. (2013). Bed-load sediment profile and effect of river bank erosion on river cross-section. American Journal Environmental Sciences 6: 292-300. 17. Lun P. I., Gasim, M. B., Toriman, M.E., Rahim, S. A., Kamarudin, M. K. A., (2011). Hydrological pattern of Pahang river basin and their relation to flood historical event. e-BANGI. 4(1): 29-37. 18. Toriman, M. E., Lee Q. Y., Kamarudin, M. K. A., Aziz, N. A. A., Mokhtar, M., Elfithri, R. and Bhaktiku, K. (2014). Applying Seasonal Climate Trends To Agricultural Production In Tanjung Karang, Malaysia. American Journal Agriculture Biological Sciences 9 (1): 119-126. 19. Kamarudin, M. K. A., Idris, M. and Toriman, M. E. (2013). Analysis of Leptobarbus hoevenii in control environment at natural lakes. American Journal Agriculture Biological Sciences 8: 142-148. 20. Gasim, M.B., Ismail, B.S., Sajaul Islam-Mir, Rahim, S.A. and Toriman, M.E., (2011). The physico-physical properties of four soil series in Tasik Chini, Pahang Malaysia. Asean Journal of Earth Sciences. 1-10. 21. Kamarudin, M. K. A., Toriman, M. E., Sharifah Mastura, S. A., Idris, M., Jamil, N. R. and Gasim, M.B., (2009). Temporal variability on lowland river sediment properties and yield. American Journal of Environmental Sciences 5(5): 657-663. 22. Juahir, H., Sharifuddin, M. Z., Mazlin, M., Toriman, M. E., Jalaludin, Z. and Jan, I.K.M., (2008). The use of chemometrics analysis as a cost-effective tool in sustainable utilisation of water resources in the Langat River catchment, Malaysia. American-Eurasian Journal of Agriculture and Environmental Science 4(2): 258-265. 23. Gasim, M. B., Toriman, M. E., Rahim, S. A., Mir Sujaul Islam, Chek, T. C. and Juahir, H., (2006). Hydrology and water quality assessment of Tasik Chini’s feeder rivers, Pahang Malaysia. Geografia 3 (3): 1-16.
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| spellingShingle |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
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| summary |
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 km2 or 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 R2 equals to 0.9994. The regression model, on the other hand, forecasted the sediment volume using the equation Y=198. 48x 1.1783 with R2 equals 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.
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| title |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|
| title_full |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|
| title_fullStr |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|
| title_full_unstemmed |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|
| title_short |
Assessment of land use change and sedimentation modelling on environmental health in Tropical river [Penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|
| title_sort |
assessment of land use change and sedimentation modelling on environmental health in tropical river [penilaian perubahan guna tanah dan permodelan sedimentasi ke atas kesihatan persekitaran di sungai bertropika]
|