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Mehran Naseri-Rad
Division of Water Resources Engineering, Department of Building and Environmental Technology, Lund University, Box 118, SE-221 00 Lund, Sweden

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Journal article
Published: 07 July 2021 in Sustainability
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Current sustainability assessment (SA) tools to help deal with contaminated groundwater sites are inherently subjective and hardly applied. One reason may be lack of proper tools for addressing contaminant spread which are basically objective. To fill this gap, there is a need for contaminant transport models that provide site managers with needed room for applying their judgments and considerations about the efficiency of each remediation method based on their experiences in similar cases. INSIDE-T uses trend analysis and inverse modeling to estimate transport parameters. It then simulates contaminant transport both with and without the inclusion of remedial actions in a transparent way. The sustainability of each remedy measure can then be quantified based on the underlying SA tool (INSIDE). INSIDE-T was applied to a site in south Sweden, contaminated with pentachlorophenol. Simulation scenarios were developed to enable comparison between various remediation strategies and combinations of these. The application indicated that natural attenuation was not a viable option within the timeframe of interest. Although pump-and-treat combined with a permeable reactive barrier was found to be just as effective as bioremediation after five years, it received a much lower sustainability score overall. INSIDE-T outcomes enable site managers to test and evaluate different scenarios, a necessity in participatory decision-making practices such as remediation projects.

ACS Style

Mehran Naseri-Rad; Ronny Berndtsson; Ursula McKnight; Magnus Persson; Kenneth Persson. INSIDE-T: A Groundwater Contamination Transport Model for Sustainability Assessment in Remediation Practice. Sustainability 2021, 13, 7596 .

AMA Style

Mehran Naseri-Rad, Ronny Berndtsson, Ursula McKnight, Magnus Persson, Kenneth Persson. INSIDE-T: A Groundwater Contamination Transport Model for Sustainability Assessment in Remediation Practice. Sustainability. 2021; 13 (14):7596.

Chicago/Turabian Style

Mehran Naseri-Rad; Ronny Berndtsson; Ursula McKnight; Magnus Persson; Kenneth Persson. 2021. "INSIDE-T: A Groundwater Contamination Transport Model for Sustainability Assessment in Remediation Practice." Sustainability 13, no. 14: 7596.

Original article
Published: 26 April 2021 in Environmental Earth Sciences
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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.

ACS Style

Ivan Radelyuk; Mehran Naseri-Rad; Hossein Hashemi; Magnus Persson; Ronny Berndtsson; Madeniyet Yelubay; Kamshat Tussupova. Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries. Environmental Earth Sciences 2021, 80, 1 -14.

AMA Style

Ivan Radelyuk, Mehran Naseri-Rad, Hossein Hashemi, Magnus Persson, Ronny Berndtsson, Madeniyet Yelubay, Kamshat Tussupova. Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries. Environmental Earth Sciences. 2021; 80 (9):1-14.

Chicago/Turabian Style

Ivan Radelyuk; Mehran Naseri-Rad; Hossein Hashemi; Magnus Persson; Ronny Berndtsson; Madeniyet Yelubay; Kamshat Tussupova. 2021. "Assessing data-scarce contaminated groundwater sites surrounding petrochemical industries." Environmental Earth Sciences 80, no. 9: 1-14.

Journal article
Published: 10 June 2020 in Science of The Total Environment
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Modeling criteria interaction in decision-making problems is complex and often neglected. In complicated problems, like contaminated site remediation projects, independency of involved criteria is not a realistic assumption. INfluence based deciSIon guiDE (INSIDE) is a methodology that enables sustainable decision making and management in contaminated site remediation practice. Unlike most previous decision-support methods, INSIDE considers realistic interactions among all involved criteria. The method not only gives a one-time best option for choosing a remediation method for the project at hand, but also a management plan for further improvements of the system. INSIDE recognizes economic, environmental, social, and technological considerations for the most sustainable practice. Eight criteria are defined based on these aspects and they can be interrelated. This means that a criterion, e.g., remediation time, does not need to belong to any pre-defined category such as economic, environmental, social, or technical, but can interact with other criteria. This allows for a system with many degrees of freedom that is more realistic for practical problem-solving. In INSIDE, the DEcision MAking Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) techniques are combined for assigning weights to criteria and scoring of remediation alternatives, respectively. Thus, the proposed methodology gives a managerial cone of influence versus importance for all involved criteria in the system. The method is applied to a data-scarce case study in Iran to prioritize between remediation methods for a contaminated groundwater aquifer. The results show that human health risk and environmental impacts are more influential than other evaluated criteria. The suggested methodology should be further tested on a variety of actual remediation problems for additional evaluation.

ACS Style

Mehran Naseri-Rad; Ronny Berndtsson; Kenneth M. Persson; Kei Nakagawa. INSIDE: An efficient guide for sustainable remediation practice in addressing contaminated soil and groundwater. Science of The Total Environment 2020, 740, 139879 .

AMA Style

Mehran Naseri-Rad, Ronny Berndtsson, Kenneth M. Persson, Kei Nakagawa. INSIDE: An efficient guide for sustainable remediation practice in addressing contaminated soil and groundwater. Science of The Total Environment. 2020; 740 ():139879.

Chicago/Turabian Style

Mehran Naseri-Rad; Ronny Berndtsson; Kenneth M. Persson; Kei Nakagawa. 2020. "INSIDE: An efficient guide for sustainable remediation practice in addressing contaminated soil and groundwater." Science of The Total Environment 740, no. : 139879.

Journal article
Published: 14 April 2020 in Water
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Groundwater is a major source of drinking and agricultural water supply in arid and semiarid regions. Poor groundwater quality can be a threat to human health especially when it is combined with hazardous pollutants like heavy metals. In this study, an innovative method involving entropy weighted groundwater quality index for both physicochemical and heavy metal content was used for a semiarid region. The entropy weighted index was used to assess the groundwater’s suitability for drinking and irrigation purposes. Thus, groundwater from 19 sampling sites was used for analyses of physicochemical properties (electrical conductivity—EC, pH, K+, Ca2+, Na+, SO42−, Cl−, HCO3−, TDS, NO3−, F−, biochemical oxygen demand—BOD, dissolved oxygen—DO, and chemical oxygen demand—COD) and heavy metal content (As, Ca, Sb, Se, Zn, Cu, Ba, Mn, and Cr). To evaluate the overall pollution status in the region, heavy metal indices such as the modified heavy metal pollution index (m-HPI), heavy metal evaluation index (HEI), Nemerow index (NeI), and ecological risks of heavy metals (ERI) were calculated and compared. The results showed that Cd concentration plays a significant role in negatively affecting the groundwater quality. Thus, three wells were classified as poor water quality and not acceptable for drinking water supply. The maximum concentration of heavy metals such as Cd, Se, and Sb was higher than permissible limits by the World Health Organization (WHO) standards. However, all wells except one were suitable for agricultural purposes. The advantage of the innovative entropy weighted groundwater quality index for both physicochemical and heavy metal content, is that it permits objectivity when selecting the weights and reduces the error that may be caused by subjectivity. Thus, the new index can be used by groundwater managers and policymakers to better decide the water’s suitability for consumption.

ACS Style

Ehsan Kamali Maskooni; Mehran Naseri-Rad; Ronny Berndtsson; Kei Nakagawa. Use of Heavy Metal Content and Modified Water Quality Index to Assess Groundwater Quality in a Semiarid Area. Water 2020, 12, 1115 .

AMA Style

Ehsan Kamali Maskooni, Mehran Naseri-Rad, Ronny Berndtsson, Kei Nakagawa. Use of Heavy Metal Content and Modified Water Quality Index to Assess Groundwater Quality in a Semiarid Area. Water. 2020; 12 (4):1115.

Chicago/Turabian Style

Ehsan Kamali Maskooni; Mehran Naseri-Rad; Ronny Berndtsson; Kei Nakagawa. 2020. "Use of Heavy Metal Content and Modified Water Quality Index to Assess Groundwater Quality in a Semiarid Area." Water 12, no. 4: 1115.