Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics

Principal component analysis (PCA) and multiple linear regressions (MLR) analysis were applied on the data set of surface water quality for source identification of pollution and their contribution on the variation of water quality. Results revealed that, most of the water quality parameters were f...

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Main Authors:	Nasly, Mohamed Ali, Hossain, Mohamed Amjed, Islam, Mir Sujaul
Format:	Article
Language:	English
Published:	Environment Conservation Journal 2013
Subjects:	TD Environmental technology. Sanitary engineering TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/5052/ http://umpir.ump.edu.my/id/eprint/5052/ http://umpir.ump.edu.my/id/eprint/5052/1/paper-Source_ECJ_14%283%299-16.pdf

id	ump-5052
recordtype	eprints
spelling	ump-50522018-09-28T02:36:35Z http://umpir.ump.edu.my/id/eprint/5052/ Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics Nasly, Mohamed Ali Hossain, Mohamed Amjed Islam, Mir Sujaul TD Environmental technology. Sanitary engineering TA Engineering (General). Civil engineering (General) Principal component analysis (PCA) and multiple linear regressions (MLR) analysis were applied on the data set of surface water quality for source identification of pollution and their contribution on the variation of water quality. Results revealed that, most of the water quality parameters were found to be toxic compare to the national standard of Malaysia. PCA identified the sources as, ionic groups of salts, soil erosion and agricultural runoff, organic and nutrient pollutions from domestic wastewater, industrial sewage and wastewater treatment plants. MLR investigated the R= 0.968 and R2=0.934 and it was highly significant (p<0.01). Environment Conservation Journal 2013-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/5052/1/paper-Source_ECJ_14%283%299-16.pdf Nasly, Mohamed Ali and Hossain, Mohamed Amjed and Islam, Mir Sujaul (2013) Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics. Environment Conservation Journal, 14 (3). pp. 9-16. ISSN 0972-3099 (Print), 2278-5124 (Online) http://www.environcj.in/uploads/2013/3/9-16.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TD Environmental technology. Sanitary engineering TA Engineering (General). Civil engineering (General)
spellingShingle	TD Environmental technology. Sanitary engineering TA Engineering (General). Civil engineering (General) Nasly, Mohamed Ali Hossain, Mohamed Amjed Islam, Mir Sujaul Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
description	Principal component analysis (PCA) and multiple linear regressions (MLR) analysis were applied on the data set of surface water quality for source identification of pollution and their contribution on the variation of water quality. Results revealed that, most of the water quality parameters were found to be toxic compare to the national standard of Malaysia. PCA identified the sources as, ionic groups of salts, soil erosion and agricultural runoff, organic and nutrient pollutions from domestic wastewater, industrial sewage and wastewater treatment plants. MLR investigated the R= 0.968 and R2=0.934 and it was highly significant (p<0.01).
format	Article
author	Nasly, Mohamed Ali Hossain, Mohamed Amjed Islam, Mir Sujaul
author_facet	Nasly, Mohamed Ali Hossain, Mohamed Amjed Islam, Mir Sujaul
author_sort	Nasly, Mohamed Ali
title	Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
title_short	Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
title_full	Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
title_fullStr	Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
title_full_unstemmed	Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
title_sort	source apportionment and quality assessment of surface water using principal component analysis and multiple linear regression statistics
publisher	Environment Conservation Journal
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/5052/ http://umpir.ump.edu.my/id/eprint/5052/ http://umpir.ump.edu.my/id/eprint/5052/1/paper-Source_ECJ_14%283%299-16.pdf
first_indexed	2023-09-18T22:00:10Z
last_indexed	2023-09-18T22:00:10Z
_version_	1777414344983707648

Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics

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