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Team(ERT)in Edison,New Jersey. This document can be downloaded from the ERT Compendium <br /> of Standard Operating Procedures at the following website: <br /> http://www.ert.org/media resres/media_resres.asp. <br /> Data Quality and Data Qualitv Objectives <br /> The results of soil gas sampling must meet the applicable requirements for data quality and <br /> satisfy the data quality objectives of the study for which they are intended. Data quality objectives <br /> are qualitative and quantitative statements derived from the data quality objectives process that <br /> clarify study objectives, define the appropriate type of data, and specify the tolerable levels of <br /> potential decision errors that will be used to support site decisions. Data quality objectives are <br /> formulated in the first phase of a sampling project. <br /> In the second phase of the project, a Quality Assurance Project Plan (QAPP)translates these <br /> requirements into measurement performance specifications and quality assurance/quality control <br /> procedures to provide the data necessary to satisfy the user's needs. The QAPP is the critical <br /> planning document for any environmental data collection operation because it documents how <br /> quality assurance and quality control activities will be implemented during the life of the project. <br /> Development of the data quality objectives and the QAPP for soil gas sampling should follow the <br /> guidance provided by EPA's Quality Assurance Division of the Office of Research and Development. <br /> Guidance documents concerning the development and integration of the data quality objectives and <br /> the QAPP can be obtained from the EPA website at: <br /> http://epa.gov/neerqa/qa/qa—docs.html. <br /> In addition to the above guidance, the EPA Regional Office and/or other appropriate regulatory <br /> agency should be consulted concerning specific sampling requirements. <br /> 4.3 ASSUMPTIONS AND LIMITATIONS OF THE SOIL GAS MODEL <br /> As discussed previously, the soil gas models operate under the assumption of steady-state <br /> conditions. This means that enough time has passed for the vapor plume to have reached the <br /> building of interest directly above the source of contamination and that the vapor concentrations have <br /> reached their maximum values. Depending on the depth at which the soil gas is sampled, diffusion <br /> of the soil gas toward the building is a function of the soil properties between the building floor in <br /> contact with the soil and the sampling depth. Convection of the soil gas into the structure is a <br /> function of the building properties and the effective soil vapor permeability. Assumptions and <br /> limitations of the soil gas models are the same as those in Section 2.11 with the exception of the <br /> source vapor concentration that is determined empirically through soil gas sampling. <br /> The user should also recognize the inherent limitations of soil gas sampling. First, the <br /> geologic variability of the subsurface may be considerable. This may be especially problematic for <br /> 65 <br />