Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia

The river basin pollution becomes a serious issue in Peninsular Malaysia. This research is to clarify river water quality using environmetric techniques (PCA, MLR and HACA) and statistical process control (control chart and capability indices) performances consist of three river basins (North-Middle...

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Main Author: Samsudin, Mohd Saiful
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/39816/1/FPAS%202014%202%20IR.pdf
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author Samsudin, Mohd Saiful
author_facet Samsudin, Mohd Saiful
author_sort Samsudin, Mohd Saiful
collection UPM
description The river basin pollution becomes a serious issue in Peninsular Malaysia. This research is to clarify river water quality using environmetric techniques (PCA, MLR and HACA) and statistical process control (control chart and capability indices) performances consist of three river basins (North-Middle-South) in Peninsular Malaysia. Commonly, lack of knowledge of analysis and modeling for river pollution are unable to encounter either present or future river pollution loading in Malaysia. Besides, total water quality management by using statistical approaches are needed for a sustainable environment. Nevertheless, quality engineering tools are not often applied in river pollution problems for a sustainable environment. The abundant water quality data monitoring are required to utilize for exact identification and distribution of pollution for more effective and optimized sampling strategy. The objectives of this research are to identify the types of pollution sources in each of the river basins, to determine the most significant parameters of each river basin which contribute to river pollution loading and to discover the potential contamination of pollutants and perform the process capability of water quality. In this study, secondary data from monitoring stations under the river water quality monitoring program by the Department of Environment (DOE) from 2003 to 2007 were packed into consideration to extract the spatial-temporal information on Perlis River, Klang River and Johor River. From this study, the deviations of the types of pollution sources and dissimilar of significant possible pollution sources can be sanctioned. In Perlis River Basin, the results show BOD and COD as the principal parameters which indicate as the quantity of the agricultural pollution. For Klang River Basin, NH3-N has been unveiled as the main parameters which indicate from anthropogenic activities. Johor River Basin has revealed NH3-N and PO4 as the main parameter as the main pollutants that give highest contribution towards the river and it is believe from land alterations towards oil palm plantation. However, SPC indicates the level of all significance parameters concentration for each basin shown the risk of unacceptable water pollution level according to WQI. This is because of a dissimilar type of human activities and area development surrounding the study areas. This study shows the important of statistical analysis and modeling for river water quality management to save time consuming and help to save money in managing river water quality analysis.
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spelling upm.eprints-398162015-08-25T05:03:03Z http://psasir.upm.edu.my/id/eprint/39816/ Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia Samsudin, Mohd Saiful The river basin pollution becomes a serious issue in Peninsular Malaysia. This research is to clarify river water quality using environmetric techniques (PCA, MLR and HACA) and statistical process control (control chart and capability indices) performances consist of three river basins (North-Middle-South) in Peninsular Malaysia. Commonly, lack of knowledge of analysis and modeling for river pollution are unable to encounter either present or future river pollution loading in Malaysia. Besides, total water quality management by using statistical approaches are needed for a sustainable environment. Nevertheless, quality engineering tools are not often applied in river pollution problems for a sustainable environment. The abundant water quality data monitoring are required to utilize for exact identification and distribution of pollution for more effective and optimized sampling strategy. The objectives of this research are to identify the types of pollution sources in each of the river basins, to determine the most significant parameters of each river basin which contribute to river pollution loading and to discover the potential contamination of pollutants and perform the process capability of water quality. In this study, secondary data from monitoring stations under the river water quality monitoring program by the Department of Environment (DOE) from 2003 to 2007 were packed into consideration to extract the spatial-temporal information on Perlis River, Klang River and Johor River. From this study, the deviations of the types of pollution sources and dissimilar of significant possible pollution sources can be sanctioned. In Perlis River Basin, the results show BOD and COD as the principal parameters which indicate as the quantity of the agricultural pollution. For Klang River Basin, NH3-N has been unveiled as the main parameters which indicate from anthropogenic activities. Johor River Basin has revealed NH3-N and PO4 as the main parameter as the main pollutants that give highest contribution towards the river and it is believe from land alterations towards oil palm plantation. However, SPC indicates the level of all significance parameters concentration for each basin shown the risk of unacceptable water pollution level according to WQI. This is because of a dissimilar type of human activities and area development surrounding the study areas. This study shows the important of statistical analysis and modeling for river water quality management to save time consuming and help to save money in managing river water quality analysis. 2014-07 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39816/1/FPAS%202014%202%20IR.pdf Samsudin, Mohd Saiful (2014) Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia. Masters thesis, Universiti Putra Malaysia. Rivers - Environmental aspects - Peninsular Malaysia Water quality - Peninsular Malaysia Watersheds - Peninsular Malaysia
spellingShingle Rivers - Environmental aspects - Peninsular Malaysia
Water quality - Peninsular Malaysia
Watersheds - Peninsular Malaysia
Samsudin, Mohd Saiful
Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title_full Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title_fullStr Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title_full_unstemmed Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title_short Interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in Peninsular Malaysia
title_sort interpretation of river water quality using environmetric techniques and statistical process control performances for selected river basins in peninsular malaysia
topic Rivers - Environmental aspects - Peninsular Malaysia
Water quality - Peninsular Malaysia
Watersheds - Peninsular Malaysia
url http://psasir.upm.edu.my/id/eprint/39816/1/FPAS%202014%202%20IR.pdf
work_keys_str_mv AT samsudinmohdsaiful interpretationofriverwaterqualityusingenvironmetrictechniquesandstatisticalprocesscontrolperformancesforselectedriverbasinsinpeninsularmalaysia