Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan

More than 60% of the population of Pakistan has no access to safe drinking water. Industrial zones near populated areas make conditions more severe due to continuous contamination. The aim of this study was to use statistical tools for correlation and source identification and health risk assessment...

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Autores principales:	Muhammad Irfan Jalees, Muhammad Umar Farooq, Asma Tufail Shah
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	correlation heavy metals risk assessment source statistical modeling Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/843afc4f8d34446fb1e561bc3d22e713
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spelling	oai:doaj.org-article:843afc4f8d34446fb1e561bc3d22e7132021-11-05T19:29:51ZCancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan2043-90832408-936210.2166/washdev.2021.217https://doaj.org/article/843afc4f8d34446fb1e561bc3d22e7132021-03-01T00:00:00Zhttp://washdev.iwaponline.com/content/11/2/314https://doaj.org/toc/2043-9083https://doaj.org/toc/2408-9362More than 60% of the population of Pakistan has no access to safe drinking water. Industrial zones near populated areas make conditions more severe due to continuous contamination. The aim of this study was to use statistical tools for correlation and source identification and health risk assessment of contamination due to Sundar Industrial Estate (SIE), Lahore, Pakistan. Drinking and wastewater samples were collected from SIE and analyzed for physical, chemical, microbial, and heavy metals analysis. Results showed that heavy metals and microbial contamination were beyond the National Drinking Water Quality Standards of Pakistan while high values of chemical oxygen demand (COD) and biochemical oxygen demand (BOD) wastewater were responsible for contamination of drinking water through seepage. There was a medium to strong correlation among parameters of all samples as indicated by Pearson correlation and analysis of variance. Principal component analysis and cluster analysis indicated sources of contamination, i.e., refuse leachate and untreated effluent discharges as main source of pollutants for drinking water. Health risk assessment showed a high intake of heavy metals through drinking water. Hazard quotient and hazard index indicated high probability of non-carcinogenic risk while cancer risk assessment suggested that out of every 100 of the population 93 people may suffer carcinogenic effects. HIGHLIGHTS Samples showed high bacterial and heavy metals contamination due to untreated effluent.; Statistical modeling showed strong correlation and seepage as the main source of pollution.; The hazard quotient and hazard index (for non-carcinogenic risk) values are >1.; Risk assessment showed 93 people out of 100 of population may suffer from cancer.;Muhammad Irfan JaleesMuhammad Umar FarooqAsma Tufail ShahIWA Publishingarticlecorrelationheavy metalsrisk assessmentsourcestatistical modelingEnvironmental technology. Sanitary engineeringTD1-1066ENJournal of Water, Sanitation and Hygiene for Development, Vol 11, Iss 2, Pp 314-326 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	correlation heavy metals risk assessment source statistical modeling Environmental technology. Sanitary engineering TD1-1066
spellingShingle	correlation heavy metals risk assessment source statistical modeling Environmental technology. Sanitary engineering TD1-1066 Muhammad Irfan Jalees Muhammad Umar Farooq Asma Tufail Shah Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
description	More than 60% of the population of Pakistan has no access to safe drinking water. Industrial zones near populated areas make conditions more severe due to continuous contamination. The aim of this study was to use statistical tools for correlation and source identification and health risk assessment of contamination due to Sundar Industrial Estate (SIE), Lahore, Pakistan. Drinking and wastewater samples were collected from SIE and analyzed for physical, chemical, microbial, and heavy metals analysis. Results showed that heavy metals and microbial contamination were beyond the National Drinking Water Quality Standards of Pakistan while high values of chemical oxygen demand (COD) and biochemical oxygen demand (BOD) wastewater were responsible for contamination of drinking water through seepage. There was a medium to strong correlation among parameters of all samples as indicated by Pearson correlation and analysis of variance. Principal component analysis and cluster analysis indicated sources of contamination, i.e., refuse leachate and untreated effluent discharges as main source of pollutants for drinking water. Health risk assessment showed a high intake of heavy metals through drinking water. Hazard quotient and hazard index indicated high probability of non-carcinogenic risk while cancer risk assessment suggested that out of every 100 of the population 93 people may suffer carcinogenic effects. HIGHLIGHTS Samples showed high bacterial and heavy metals contamination due to untreated effluent.; Statistical modeling showed strong correlation and seepage as the main source of pollution.; The hazard quotient and hazard index (for non-carcinogenic risk) values are >1.; Risk assessment showed 93 people out of 100 of population may suffer from cancer.;
format	article
author	Muhammad Irfan Jalees Muhammad Umar Farooq Asma Tufail Shah
author_facet	Muhammad Irfan Jalees Muhammad Umar Farooq Asma Tufail Shah
author_sort	Muhammad Irfan Jalees
title	Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
title_short	Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
title_full	Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
title_fullStr	Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
title_full_unstemmed	Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan
title_sort	cancer risk assessment and modeling of groundwater contamination near industrial estate, lahore, pakistan
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/843afc4f8d34446fb1e561bc3d22e713
work_keys_str_mv	AT muhammadirfanjalees cancerriskassessmentandmodelingofgroundwatercontaminationnearindustrialestatelahorepakistan AT muhammadumarfarooq cancerriskassessmentandmodelingofgroundwatercontaminationnearindustrialestatelahorepakistan AT asmatufailshah cancerriskassessmentandmodelingofgroundwatercontaminationnearindustrialestatelahorepakistan
_version_	1718444048125001728

Cancer risk assessment and modeling of groundwater contamination near industrial estate, Lahore, Pakistan

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