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DECISION-SUPPORT SOFTWARE FOR SOIL VAPOR EXTRACTION TECHNOLOGY APPLICATION: HYPERVENTILATE
Citation:
Kruger, C. A. AND J. G. Morse. DECISION-SUPPORT SOFTWARE FOR SOIL VAPOR EXTRACTION TECHNOLOGY APPLICATION: HYPERVENTILATE. U.S. Environmental Protection Agency, Washington, DC, EPA/600/SR-93/028, 1993.
Impact/Purpose:
provide information
Description:
The U.S. Environmental Protection Agency (EPA) estimate* that 15% to 20% of the approximately 1.7 million underground storage tank (UST) systems containing petroleum products are either leaking or will leak In the near future. These UST systems could pose a serious threat to public health and the environment. Selection of appropriate corrective action technologies that can be rapidly Implemented and that are efficient and cost-effective Is essential to minimize the Impact of UST releases on the environment and public health. Soil vapor extraction (SVE) is a proven, in situ corrective action technology that can remove volatile organic compounds (VOCs) and selected residual petroleum hydrocarbons from unsaturated soils. To assist regulators, Investigators, and UST owners In evaluating whether SVE is an appropriate cleanup technology for use at UST sites, decision-support software entitled "Hyperventilate" has beeh developed by U.S. EPA and Shell Oil Company under a 1990 Cooperative Research and Development Agreement under the Federal Technology Transfer Act Hyperventilate Is an interactive, software guidance system for evaluating the feasibility of using SVE at a specific site based on site and contaminant characteristics. Hyperventilate Is designed to (1) Identify the level of site data required to evaluate SVE systems, (2) evaluate soil permeability test results, (3) approximate the minimum number of extraction wells likely to be needed, and (4) provide a rough approximation of the system's desired and maximum removal rates. The document summarized here provides guidance In evaluating the use of the IBM-compatible version of Hyperventilate that requires a computer equipped, at a minimum, with an 80386 processor, 4 MB RAM, DOS 3.1, Microsoft Windows 3.x, and Spinnaker PLUS 2.5. In the project report, an overview of SVE principles and procedures Is presented along with the basic model principles and a sensitivity analysis of Hyperventilate. A sample application of the software is also presented by using data from an actual UST site. The case study demonstrates how to estimate and determine Input parameters, goes through the steps Involved in deriving estimates to evaluate whether SVE Is appropriate, and discusses Interpretation of the case study results.