Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries

A common problem when studying groundwater contamination in low-income countries is that data required for a detailed risk assessment are limited. This study presents a method for assessment of the potential impact of groundwater contamination by total petroleum hydrocarbons (TPH) in a data-scarce r...

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Published inEnvironmental earth sciences Vol. 80; no. 9; p. 351
Main Authors Radelyuk, Ivan, Naseri-Rad, Mehran, Hashemi, Hossein, Persson, Magnus, Berndtsson, Ronny, Yelubay, Madeniyet, Tussupova, Kamshat
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2021
Springer Nature B.V
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ISSN1866-6280
1866-6299
1866-6299
DOI10.1007/s12665-021-09653-z

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Abstract A common problem when studying groundwater contamination in low-income countries is that data required for a detailed risk assessment are limited. This study presents a method for assessment of the potential impact of groundwater contamination by total petroleum hydrocarbons (TPH) in a data-scarce region. Groundwater modeling, using the MODFLOW, was used to simulate regional-scale flow pattern. Then, a semi-analytical contamination transport model was calibrated by minimization of the absolute errors between measured and modeled concentrations. The method was applied to a case study in Kazakhstan to assess the potential spreading of a TPH plume, based on historical observations. The limited data included general information about the local geology, observations of GW level in the area, and concentrations during 5 years of TPH in monitoring wells surrounding the source of the pollution. The results show that the plume could spread up to 2–6 km from the source, depending on estimate of the initial concentrations, until the concentration reaches permissible levels. Sensitivity analysis identified parameters of longitudinal and transverse dynamic dispersivity together with the plume of TPH spreading, as the priority subjects for future investigations. The proposed approach can be used as a tool for governmental and municipal decision-makers to better plan the usage of affected groundwater sites in data-scarce regions. It can also help to decrease the negative impact of contaminated GW on human health and to better manage the industrial pollution.
AbstractList A common problem when studying groundwater contamination in low-income countries is that data required for a detailed risk assessment are limited. This study presents a method for assessment of the potential impact of groundwater contamination by total petroleum hydrocarbons (TPH) in a data-scarce region. Groundwater modeling, using the MODFLOW, was used to simulate regional-scale flow pattern. Then, a semi-analytical contamination transport model was calibrated by minimization of the absolute errors between measured and modeled concentrations. The method was applied to a case study in Kazakhstan to assess the potential spreading of a TPH plume, based on historical observations. The limited data included general information about the local geology, observations of GW level in the area, and concentrations during 5 years of TPH in monitoring wells surrounding the source of the pollution. The results show that the plume could spread up to 2–6 km from the source, depending on estimate of the initial concentrations, until the concentration reaches permissible levels. Sensitivity analysis identified parameters of longitudinal and transverse dynamic dispersivity together with the plume of TPH spreading, as the priority subjects for future investigations. The proposed approach can be used as a tool for governmental and municipal decision-makers to better plan the usage of affected groundwater sites in data-scarce regions. It can also help to decrease the negative impact of contaminated GW on human health and to better manage the industrial pollution.
A common problem when studying groundwater contamination in low-income countries is that data required for a detailed risk assessment are limited. This study presents a method for assessment of the potential impact of groundwater contamination by total petroleum hydrocarbons (TPH) in a data-scarce region. Groundwater modeling, using the MODFLOW, was used to simulate regional-scale flow pattern. Then, a semi-analytical contamination transport model was calibrated by minimization of the absolute errors between measured and modeled concentrations. The method was applied to a case study in Kazakhstan to assess the potential spreading of a TPH plume, based on historical observations. The limited data included general information about the local geology, observations of GW level in the area, and concentrations during 5 years of TPH in monitoring wells surrounding the source of the pollution. The results show that the plume could spread up to 2–6 km from the source, depending on estimate of the initial concentrations, until the concentration reaches permissible levels. Sensitivity analysis identified parameters of longitudinal and transverse dynamic dispersivity together with the plume of TPH spreading, as the priority subjects for future investigations. The proposed approach can be used as a tool for governmental and municipal decision-makers to better plan the usage of affected groundwater sites in data-scarce regions. It can also help to decrease the negative impact of contaminated GW on human health and to better manage the industrial pollution.
ArticleNumber 351
Author Persson, Magnus
Yelubay, Madeniyet
Radelyuk, Ivan
Naseri-Rad, Mehran
Hashemi, Hossein
Berndtsson, Ronny
Tussupova, Kamshat
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Snippet A common problem when studying groundwater contamination in low-income countries is that data required for a detailed risk assessment are limited. This study...
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StartPage 351
SubjectTerms Biogeosciences
case studies
Civil Engineering
Contamination
Data
Decision making
Earth and Environmental Science
Earth Sciences
Engineering and Technology
Environmental Science and Engineering
Flow distribution
Flow pattern
Geochemistry
Geology
Groundwater
groundwater contamination
Groundwater data
Groundwater pollution
human health
Hydrocarbons
hydrologic models
Hydrology/Water Resources
Industrial pollution
Industry
Kazakhstan
Low income areas
Original Article
Parameter identification
Parameter sensitivity
Pattern analysis
Petrochemicals
Petrochemicals industry
petroleum
Petroleum hydrocarbons
Pollution monitoring
Risk assessment
Samhällsbyggnadsteknik
Sensitivity analysis
Teknik
Terrestrial Pollution
Vattenteknik
Water Engineering
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  providerName: Springer Nature
Title Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries
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