This thesis investigates the application and performance of Soil Vapor Extraction (SVE) as a remediation technology for a site impacted by Volatile Organic Compounds (VOCs). A comprehensive site characterization is presented, including the physicochemical properties of the contaminants, general and site-specific soil characteristics, and the calculation of VOC mass distribution across the three phases (gaseous, liquid, and sorbed). Based on these elements, a conceptual site model (CSM) is developed to guide the selection and evaluation of the remediation approach. Results include temporal analyses of contaminant mass depletion, concentration trends, and cumulative mass removal. A preliminary SVE test conducted by the site operator is critically examined, with the radius of influence (ROI) recalculated using a non-logarithmic approach to assess discrepancies. Particular emphasis is placed on the intermittent operation of extraction wells, analyzing rebound phenomena following system shutdowns, and evaluating the effect of downtime duration on VOC re-equilibration and re-mobilization. A sensitivity analysis is conducted to explore the influence of key parameters on cleanup time. The findings contribute to a more robust understanding of SVE dynamics and inform strategies for optimizing remediation timeframes and system efficiency in similar hydrogeological contexts.
This thesis investigates the application and performance of Soil Vapor Extraction (SVE) as a remediation technology for a site impacted by Volatile Organic Compounds (VOCs). A comprehensive site characterization is presented, including the physicochemical properties of the contaminants, general and site-specific soil characteristics, and the calculation of VOC mass distribution across the three phases (gaseous, liquid, and sorbed). Based on these elements, a conceptual site model (CSM) is developed to guide the selection and evaluation of the remediation approach. Results include temporal analyses of contaminant mass depletion, concentration trends, and cumulative mass removal. A preliminary SVE test conducted by the site operator is critically examined, with the radius of influence (ROI) recalculated using a non-logarithmic approach to assess discrepancies. Particular emphasis is placed on the intermittent operation of extraction wells, analyzing rebound phenomena following system shutdowns, and evaluating the effect of downtime duration on VOC re-equilibration and re-mobilization. A sensitivity analysis is conducted to explore the influence of key parameters on cleanup time. The findings contribute to a more robust understanding of SVE dynamics and inform strategies for optimizing remediation timeframes and system efficiency in similar hydrogeological contexts.
Assessment of SVE Remediation Efficiency through Coupled Analytical and Field-based VOC Mass Estimation
BELLIN, IRENE
2024/2025
Abstract
This thesis investigates the application and performance of Soil Vapor Extraction (SVE) as a remediation technology for a site impacted by Volatile Organic Compounds (VOCs). A comprehensive site characterization is presented, including the physicochemical properties of the contaminants, general and site-specific soil characteristics, and the calculation of VOC mass distribution across the three phases (gaseous, liquid, and sorbed). Based on these elements, a conceptual site model (CSM) is developed to guide the selection and evaluation of the remediation approach. Results include temporal analyses of contaminant mass depletion, concentration trends, and cumulative mass removal. A preliminary SVE test conducted by the site operator is critically examined, with the radius of influence (ROI) recalculated using a non-logarithmic approach to assess discrepancies. Particular emphasis is placed on the intermittent operation of extraction wells, analyzing rebound phenomena following system shutdowns, and evaluating the effect of downtime duration on VOC re-equilibration and re-mobilization. A sensitivity analysis is conducted to explore the influence of key parameters on cleanup time. The findings contribute to a more robust understanding of SVE dynamics and inform strategies for optimizing remediation timeframes and system efficiency in similar hydrogeological contexts.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/90249