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 in | Environmental earth sciences Vol. 80; no. 9; p. 351 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.05.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1866-6280 1866-6299 1866-6299 |
DOI | 10.1007/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. |
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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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CitedBy_id | crossref_primary_10_1016_j_jhydrol_2022_128674 crossref_primary_10_3390_w16152203 crossref_primary_10_1016_j_jclepro_2021_126987 crossref_primary_10_1016_j_jenvman_2024_122699 crossref_primary_10_1007_s43615_023_00269_y crossref_primary_10_1016_j_envpol_2024_123449 crossref_primary_10_1016_j_scitotenv_2022_154992 crossref_primary_10_1061__ASCE_EE_1943_7870_0002030 crossref_primary_10_1007_s40899_024_01057_8 crossref_primary_10_1016_j_ejrh_2022_101173 crossref_primary_10_3390_su13147596 crossref_primary_10_1016_j_envpol_2024_123683 |
Cites_doi | 10.3133/pp411I 10.1016/j.scitotenv.2020.139879 10.1007/s10653-020-00685-1 10.5194/hess-17-637-2013 10.3133/ofr20161086 10.1029/WR022i09Sp0135S 10.3390/su11061618 10.1007/s00254-006-0244-y 10.1016/j.jwpe.2020.101156 10.3133/ofr200092 10.1007/s11269-006-9025-3 10.32479/ijeep.10897 10.1080/10643389.2011.604259 10.1016/j.advwatres.2010.01.008 10.1007/s41742-018-0134-7 10.1007/s00253-019-10032-9 10.1007/s10661-018-6733-0 10.1029/WR016i001p00145 10.2174/1874378101206010058 10.1007/s12403-016-0210-1 10.1016/j.enpol.2011.07.042 10.3133/tm7C9 10.1016/j.swaqe.2017.09.002 10.1016/j.scitotenv.2007.02.020 10.1016/j.cej.2006.10.001 10.1111/j.1745-6584.2006.00189.x 10.2166/wst.2007.061 10.5194/hess-19-4165-2015 10.1016/j.jconhyd.2018.11.002 10.1016/j.jclepro.2021.126987 10.3133/pp411A 10.1080/02634937.2015.1119552 10.1016/j.jenvman.2018.08.057 10.3390/ijerph13111115 10.3390/atmos12030314 10.11159/ICEPR19.155 10.3390/su13147596 |
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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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Title | Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries |
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