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http://dx.doi.org/10.7857/JSGE.2022.27.S.092

A New Evaluation Model for Natural Attenuation Capacity of a Vadose Zone Against Petroleum Contaminants  

Woo, Heesoo (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
An, Seongnam (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
Kim, Kibeum (Cheongwoo Environment Co., LTD.)
Park, Saerom (Korea Institute of Civil engineering and building Technology, Department of Environmental research)
Oh, Sungjik (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
Kim, Sang Hyun (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
Chung, Jaeshik (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
Lee, Seunghak (Water Cycle Research Center, Korea Institute of Science and Technology (KIST))
Publication Information
Journal of Soil and Groundwater Environment / v.27, no.spc, 2022 , pp. 92-98 More about this Journal
Abstract
Although various methods have been proposed to assess groundwater vulnerability, most of the models merely consider the mobility of contaminants (i.e., intrinsic vulnerability), and the attenuation capacity of vadose zone is often neglected. This study proposed an evaluation model for the attenuation capacity of vadose zone to supplement the limitations of the existing index method models for assessing groundwater vulnerability. The evaluation equation for quantifying the attenuation capacity was developed from the combined linear regression and weighted scaling methods based on the lab-scale experiments using various vadose zone soils having different physical and biogeochemical properties. The proposed semi-quantifying model is expected to effectively assess the attenuation capacity of vadose zone by identifying the main influencing factors as input parameters together with proper weights derived from the coefficients of the regression results. The subsequent scoring and grading system has great versatility while securing the objectivity by effectively incorporating the experimental results.
Keywords
Attenuation capacity; Groundwater vulnerability assessment; Index method; Multiple linear regression analysis; Vadose zone;
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Times Cited By KSCI : 1  (Citation Analysis)
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