GroMoPo Metadata for Martinsville Alternative Site (Illinois) model

The regulatory requirements for characterization of the Martinsville Alternative Site (MAS) were fulfilled by applying an iterative approach to the groundwater flow modeling of the site and surrounding area The approach consisted of field data collection and development of an initial conceptual model. The numerical model was then constructed to be consistent with the data and conceptual model. Next, the calibration results were evaluated statistically, and visually by a groundwater modeling review committee, to determine if the model accurately represented groundwater flow at the site. Initial results failed acceptance criteria because the values of numerical model input parameters had to be varied beyond observed data ranges to calibrate the results, and therefore the model was inconsistent with the initial conceptual model. This led to additional field data collection in areas where the numerical model deviated most from field-determined data. The new data provided sufficient information to revise the conceptual model and calibrate the numerical model successfully. Model calibration was followed by validation. Validation of the numerical model provided additional assurance that the model correctly simulated the observed system. No additional data were found to be necessary during validation of the MAS numerical model. The iterative approach proved to be successful for calibrating and validating this groundwater flow model and should be implemented from the onset of characterization planning in other applications.

针对马丁维尔替代场地（MAS）的表征监管要求，通过采用对该场地及其周边区域地下水流动模型的迭代方法得以实现。该方法包括现场数据收集和初步概念模型的开发。随后，构建了数值模型以确保其与数据及概念模型的一致性。接着，通过地下水模型审查委员会从统计和视觉角度评估校准结果，以确定模型是否准确反映了该场地的地下水流动。由于数值模型输入参数的值必须超出观测数据范围以校准结果，因此模型与初始概念模型不一致，导致初始结果未能通过验收标准。这促使在数值模型与现场确定的数据差异最大的区域进行额外的现场数据收集。新数据提供了足够的信息以修订概念模型并成功校准数值模型。模型校准后，进行了验证。数值模型的验证提供了额外的保证，表明模型正确模拟了观测到的系统。在MAS数值模型的验证过程中，未发现需要额外的数据。迭代方法已被证明在校准和验证此地下水流动模型方面是成功的，并应在其他应用的特征表征规划初期实施。