Estimating Tetrachloroethene Sorption Coefficients Based on Soil Properties in Organic-Poor Soils
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22320%2F24%3A43930157" target="_blank" >RIV/60461373:22320/24:43930157 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/14/24/11761" target="_blank" >https://www.mdpi.com/2076-3417/14/24/11761</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app142411761" target="_blank" >10.3390/app142411761</a>
Alternative languages
Result language
angličtina
Original language name
Estimating Tetrachloroethene Sorption Coefficients Based on Soil Properties in Organic-Poor Soils
Original language description
In the context of contaminated site remediation, the fate of chlorinated solvents in the subsurface and subsequent groundwater contamination is influenced by soil properties governing sorption. The solid–water distribution coefficient (Kd) is a key parameter for modeling contaminant distribution and transport, essential for risk assessment and remediation planning. This study evaluated tetrachloroethene sorption isotherms in 34 low-organic-carbon soils from the Czech Republic, assessing the influence of soil properties on Kd. Soil samples exhibited variability in organic carbon content (˂0.05–0.81%), with clay ranging from 0% to 64.9%, silt 5.1% to 71.2%, and sand 5.2% to 88.9%, specific surface area (0.41–64.39 m2 g−1), particle density (2.05–4.09 g cm−3), and porosity (43.5–67.3%). Batch experiments were conducted using standard procedures, with Kd values ranging from 0.379 to 2.272 L kg−1. Statistical analysis grouped the soils into three textural classes: sandy, clayey fine, and silty loam. The findings reveal that organic carbon content and specific surface area are the primary predictors of Kd, while clay and sand also play a significant role in shaping sorption behavior. Multivariate regression models explained 63.6% to 98.5% of Kd variability with high accuracy, as indicated by low root means square error (0.070–0.329) and mean absolute percentage error (3.8–28.8%) values. These models offer reliable predictions of sorption behavior, providing valuable tools for risk assessment and remediation strategies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences-Basel
ISSN
2076-3417
e-ISSN
2076-3417
Volume of the periodical
2024
Issue of the periodical within the volume
14
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
11761
UT code for WoS article
001384140400001
EID of the result in the Scopus database
2-s2.0-85213271654