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1860797377313505280
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INTELEK Repository
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Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2015-11-05 10:31:51
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Restricted Document
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12472
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UniSZA
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| internalnotes |
1. Strahler, N and Strahler, A (1978). Geography and man’s environment, John Wiley and Sons, U.S.A. 2. Ward, R. C. and Smith, K. (1998). Flooding: Physical processes and human impacts, John Wiley and Jones Ltd, England. 3. Nicholls, J.R., Natasha, M., Jason A. L., Sally B., Pier V., Diogo D.G., Jochen H. and Richard S. J. (2010). Sea-level rise and its possible impacts given a ‘beyond 4°C world’ in the twenty-first century. Journal of the Royal Society of Philosophical Transaction 369: 161-181. 4. Mouhsen, S., Zulkifli, Y., Fadhilah, Y., Shamsuddin, S., and Milad J. (2013). Flood Frequency Analysis Based on the t-copula for Johor River, Malaysia. Journal of Applied Sciences 13: 1021-1028. 5. Gasim M. B., Surif S., Mokhtar M., Toriman M. E., Rahim S. A., and Chong H. B. (2010). Flood Analysis of December 2006: Focus at Segamat Town, Johor. Sains Malaysiana 39: 353–361. 6. Floyd, F. J. and Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment 7(3), 286-299. 7. Gorsuch, R. L. (1990). Common Factor-Analysis versus Component Analysis - Some Well and Little Known Facts. Multivariate Behavioral Research 25(1), 33-39. 8. Thompson B. and Daniel L.G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Educational and Psychological Measurement 56(2):197-208. 9. William, B., Brown, T. and Onsman, A. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine 8(3): 1-13. 10. Trubin, I. (2008). Exception Based Modeling and Forecasting. Proceedings of the Computer Measurement Group. 11. Imrie, C.E, Durucan, S. and Korea A. (2000). River flow prediction by using Artificial Neural Networks: generalisation beyond calibration range. Journal Hydrology 233:138-153. 12. Wong, W. K., Manzur, M. and Chew, B. K. (2003). How rewarding is technical analysis? Evidence from Singapore stock market. Journal of Applied Financial Economics 13:543-551. 13. Saudi, A. S. M., Juahir, H., Azid, A., Yusof, K. M. K., Zainuddin, S. F. M., Osman, M. R. (2014). Spatial Assessment of Water Quality Due To Land-Use Changes along Kuantan River Basin. From Sources to Solution 2014: pp 297-300. 14. Li, X., Guo, S., Liu, P., and Chen, G. (2010). Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty. Journal of Hydrology 391:124–132. 15. Mouhsen, S., Zulkifli, Y., Fadhilah, Y., Shamsuddin, S., and Milad J. (2013). Flood Frequency Analysis Based on the t-copula for Johor River, Malaysia. Journal of Applied Sciences 13: 1021-1028.
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6775-01-FH02-ESERI-15-04084.jpg
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norman
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12472
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12472 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12472 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 29 29 759 1408 2015-11-05 10:31:51 1408x759 6775-01-FH02-ESERI-15-04084.jpg UniSZA Private Access Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor] Malaysian Journal of Analytical Sciences This study is focusing on constructing the flood risk index in the Johor river basin. The application of statistical methods such as factor analysis (FA), statistical process control (SPC) and artificial neural network (ANN) had revealed the most efficient flood risk index. The result in FA was water level has correlation coefficient of 0.738 and the most practicable variable to be used for the warning alert system. The upper control limits (UCL) for the water level in the river basin Johor is 4.423m and the risk index for the water level has been set by this method consisting of 0-100.The accuracy of prediction has been evaluated by using ANN and the accuracy of the test result was R2 = 0.96408 with RMSE= 2.5736. The future prediction for UCL in Johor river basin has been predicted and the value was 3.75m. This model can shows the current and future prediction for flood risk index in the Johor river basin and can help local authorities for flood control and prevention of the state of Johor. 19 5 Malaysian Society of Analytical Sciences Malaysian Society of Analytical Sciences 991-1000 1. Strahler, N and Strahler, A (1978). Geography and man’s environment, John Wiley and Sons, U.S.A. 2. Ward, R. C. and Smith, K. (1998). Flooding: Physical processes and human impacts, John Wiley and Jones Ltd, England. 3. Nicholls, J.R., Natasha, M., Jason A. L., Sally B., Pier V., Diogo D.G., Jochen H. and Richard S. J. (2010). Sea-level rise and its possible impacts given a ‘beyond 4°C world’ in the twenty-first century. Journal of the Royal Society of Philosophical Transaction 369: 161-181. 4. Mouhsen, S., Zulkifli, Y., Fadhilah, Y., Shamsuddin, S., and Milad J. (2013). Flood Frequency Analysis Based on the t-copula for Johor River, Malaysia. Journal of Applied Sciences 13: 1021-1028. 5. Gasim M. B., Surif S., Mokhtar M., Toriman M. E., Rahim S. A., and Chong H. B. (2010). Flood Analysis of December 2006: Focus at Segamat Town, Johor. Sains Malaysiana 39: 353–361. 6. Floyd, F. J. and Widaman, K. F. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment 7(3), 286-299. 7. Gorsuch, R. L. (1990). Common Factor-Analysis versus Component Analysis - Some Well and Little Known Facts. Multivariate Behavioral Research 25(1), 33-39. 8. Thompson B. and Daniel L.G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Educational and Psychological Measurement 56(2):197-208. 9. William, B., Brown, T. and Onsman, A. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine 8(3): 1-13. 10. Trubin, I. (2008). Exception Based Modeling and Forecasting. Proceedings of the Computer Measurement Group. 11. Imrie, C.E, Durucan, S. and Korea A. (2000). River flow prediction by using Artificial Neural Networks: generalisation beyond calibration range. Journal Hydrology 233:138-153. 12. Wong, W. K., Manzur, M. and Chew, B. K. (2003). How rewarding is technical analysis? Evidence from Singapore stock market. Journal of Applied Financial Economics 13:543-551. 13. Saudi, A. S. M., Juahir, H., Azid, A., Yusof, K. M. K., Zainuddin, S. F. M., Osman, M. R. (2014). Spatial Assessment of Water Quality Due To Land-Use Changes along Kuantan River Basin. From Sources to Solution 2014: pp 297-300. 14. Li, X., Guo, S., Liu, P., and Chen, G. (2010). Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty. Journal of Hydrology 391:124–132. 15. Mouhsen, S., Zulkifli, Y., Fadhilah, Y., Shamsuddin, S., and Milad J. (2013). Flood Frequency Analysis Based on the t-copula for Johor River, Malaysia. Journal of Applied Sciences 13: 1021-1028.
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| spellingShingle |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| summary |
This study is focusing on constructing the flood risk index in the Johor river basin. The application of statistical methods such as factor analysis (FA), statistical process control (SPC) and artificial neural network (ANN) had revealed the most efficient flood risk index. The result in FA was water level has correlation coefficient of 0.738 and the most practicable variable to be used for the warning alert system. The upper control limits (UCL) for the water level in the river basin Johor is 4.423m and the risk index for the water level has been set by this method consisting of 0-100.The accuracy of prediction has been evaluated by using ANN and the accuracy of the test result was R2 = 0.96408 with RMSE= 2.5736. The future prediction for UCL in Johor river basin has been predicted and the value was 3.75m. This model can shows the current and future prediction for flood risk index in the Johor river basin and can help local authorities for flood control and prevention of the state of Johor.
|
| title |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| title_full |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| title_fullStr |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| title_full_unstemmed |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| title_short |
Flood risk index assessment in Johor river basin [Penilaian indeks risiko banjir di lembangan sungai Johor]
|
| title_sort |
flood risk index assessment in johor river basin [penilaian indeks risiko banjir di lembangan sungai johor]
|