Title

Effectiveness of Aggressive Fluid Vapor Recovery (AFVR) in Various Soils for the Remediation of Terrestrial Gasoline Contamination

School Name

Spring Valley High School

Grade Level

11th Grade

Presentation Topic

Environmental Science

Presentation Type

Non-Mentored

Abstract

This experiment aimed to determine the conditions of gasoline offgas from simulated Aggressive Fluid Vapor Recovery in a selection of South Carolina soils in order to evaluate the effectiveness of AFVR in real-world remediation tasks involving the spillage of gasoline and related fuels into the environment, especially from Underground Storage Tanks (USTs). It was hypothesized that clay-containing and alluvial soils would not decrease in gasoline contamination as quickly as other soils, especially sandy soils. The increased thickness of the clay-containing soils and the dense nature of alluvial soils formed the basis for this prediction. Results showed that sandy soils remediated the fastest, along with the clay-containing soils. Time predictions were performed with regression analysis.

Location

BS 355

Start Date

3-25-2023 11:30 AM

Presentation Format

Oral and Written

Group Project

No

COinS
 
Mar 25th, 11:30 AM

Effectiveness of Aggressive Fluid Vapor Recovery (AFVR) in Various Soils for the Remediation of Terrestrial Gasoline Contamination

BS 355

This experiment aimed to determine the conditions of gasoline offgas from simulated Aggressive Fluid Vapor Recovery in a selection of South Carolina soils in order to evaluate the effectiveness of AFVR in real-world remediation tasks involving the spillage of gasoline and related fuels into the environment, especially from Underground Storage Tanks (USTs). It was hypothesized that clay-containing and alluvial soils would not decrease in gasoline contamination as quickly as other soils, especially sandy soils. The increased thickness of the clay-containing soils and the dense nature of alluvial soils formed the basis for this prediction. Results showed that sandy soils remediated the fastest, along with the clay-containing soils. Time predictions were performed with regression analysis.