Statistical modelling of nonpoint source pollution from a ropical urban residential area

Quantification of the pollutants generated due to rainfall-runoff process is tedious and expensive. On the other hand, the characteristics of runoff quality also depend on the landuses and rainfall patterns. Such difficulties can be simplified by the development of reliable and easy to use nonpoint...

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Main Authors:	Al-Mamun, Abdullah, Alam, Md. Zahangir, Darus, D., Idris, Azni
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	TD Environmental technology. Sanitary engineering
Online Access:	http://irep.iium.edu.my/6422/ http://irep.iium.edu.my/6422/ http://irep.iium.edu.my/6422/1/Statistical_Modelling.pdf

id	iium-6422
recordtype	eprints
spelling	iium-64222011-12-27T04:32:33Z http://irep.iium.edu.my/6422/ Statistical modelling of nonpoint source pollution from a ropical urban residential area Al-Mamun, Abdullah Alam, Md. Zahangir Darus, D. Idris, Azni TD Environmental technology. Sanitary engineering Quantification of the pollutants generated due to rainfall-runoff process is tedious and expensive. On the other hand, the characteristics of runoff quality also depend on the landuses and rainfall patterns. Such difficulties can be simplified by the development of reliable and easy to use nonpoint source (NPS) regression models. Information on the statistical models for the estimation of NPS or diffuse pollution loading in many tropical countries, including Malaysia, is not available yet. Therefore, local data was used to develop multivariate statistical models to estimate various pollutants from the NPS or diffuse sources of a residential area. The multivariate regression models were developed for total dissolved solids (TDS), total suspended solids (TSS), zinc (Zn) and copper (Cu), which could be used to estimate pollution loading from the urban residential areas having activities and drainage system similar to the study area. Fifty six storm events of various durations and intensities were monitored for the study. It was observed that the rainfall data followed log-normal distribution at 95% confidence level. About 5% of the events had interevent dry period of less than 19.5 hours and 95% of the events occurred less than a gap of 169.8 hours. Forty six rain events were used to develop the regression models. Calibration and validation were done using another five rain events for each exercise. Models for other parameters exhibited low coefficients of determinations (less than 0.50) and, therefore, considered not useful for the estimation of pollution load form nonpoint sources of a developed urban residential area. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/6422/1/Statistical_Modelling.pdf Al-Mamun, Abdullah and Alam, Md. Zahangir and Darus, D. and Idris, Azni (2011) Statistical modelling of nonpoint source pollution from a ropical urban residential area. In: 46th Central Canadian Symposium on Water Quality Research, 22-23 Feb., 2011, Ontario. http://www.cawq.ca/cgi-bin/symposium/details.cgi?language=english&pk_symposium=24
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TD Environmental technology. Sanitary engineering
spellingShingle	TD Environmental technology. Sanitary engineering Al-Mamun, Abdullah Alam, Md. Zahangir Darus, D. Idris, Azni Statistical modelling of nonpoint source pollution from a ropical urban residential area
description	Quantification of the pollutants generated due to rainfall-runoff process is tedious and expensive. On the other hand, the characteristics of runoff quality also depend on the landuses and rainfall patterns. Such difficulties can be simplified by the development of reliable and easy to use nonpoint source (NPS) regression models. Information on the statistical models for the estimation of NPS or diffuse pollution loading in many tropical countries, including Malaysia, is not available yet. Therefore, local data was used to develop multivariate statistical models to estimate various pollutants from the NPS or diffuse sources of a residential area. The multivariate regression models were developed for total dissolved solids (TDS), total suspended solids (TSS), zinc (Zn) and copper (Cu), which could be used to estimate pollution loading from the urban residential areas having activities and drainage system similar to the study area. Fifty six storm events of various durations and intensities were monitored for the study. It was observed that the rainfall data followed log-normal distribution at 95% confidence level. About 5% of the events had interevent dry period of less than 19.5 hours and 95% of the events occurred less than a gap of 169.8 hours. Forty six rain events were used to develop the regression models. Calibration and validation were done using another five rain events for each exercise. Models for other parameters exhibited low coefficients of determinations (less than 0.50) and, therefore, considered not useful for the estimation of pollution load form nonpoint sources of a developed urban residential area.
format	Conference or Workshop Item
author	Al-Mamun, Abdullah Alam, Md. Zahangir Darus, D. Idris, Azni
author_facet	Al-Mamun, Abdullah Alam, Md. Zahangir Darus, D. Idris, Azni
author_sort	Al-Mamun, Abdullah
title	Statistical modelling of nonpoint source pollution from a ropical urban residential area
title_short	Statistical modelling of nonpoint source pollution from a ropical urban residential area
title_full	Statistical modelling of nonpoint source pollution from a ropical urban residential area
title_fullStr	Statistical modelling of nonpoint source pollution from a ropical urban residential area
title_full_unstemmed	Statistical modelling of nonpoint source pollution from a ropical urban residential area
title_sort	statistical modelling of nonpoint source pollution from a ropical urban residential area
publishDate	2011
url	http://irep.iium.edu.my/6422/ http://irep.iium.edu.my/6422/ http://irep.iium.edu.my/6422/1/Statistical_Modelling.pdf
first_indexed	2023-09-18T20:15:22Z
last_indexed	2023-09-18T20:15:22Z
_version_	1777407751220101120

Statistical modelling of nonpoint source pollution from a ropical urban residential area

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