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GROUNDWATER MODELING - A CASE STUDY TINKER AIR FORCE BASE, OKLAHOMA

机译:地下水造型 - 以俄克拉荷马州的案例研究修补程序空军基地

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As a part of site remediation, groundwater models are frequently used as a basis for whether remediation is necessary and, if so, to obtain preliminary remediation goals. Actual field data are used as model input, and the model estimates future contaminant plume migration. Often, plume migration thirty years into the future is modeled. Typically, a large numerical model such as MODFLOW is used to define the underlying hydrogeologic conditions. In order to generate an optimal model, the correct type and an adequate amount of input data are required. In the majority of cases, these data are not available. A typical test for the correctness of the model is model calibration. By manipulating input parameters, the modeler attempts to make the model output fit the existing field data. If the fit is within certain statistical limits, the model is said to 'calibrate' which is intended to indicate that the model output is correct. The caveat to an elaborate deterministic model is that calibration can be achieved, and is often necessitated, by inaccurate and unrealistic input data or output data. That is, these models are often so complex that errors in one area of model input can be offset by errors in other variables so that calibration can be achieved with a wholly inappropriate model configuration. Ideally, verification with an independent data set should follow calibration. Too often however, these large, complex numerical models require so much input information that an additional verification step can not feasibly be attempted. At Tinker AFB, a complex MODFLOW model was generated to determine hydraulic heads and associated contaminant velocities for the northwest comer of the base. The model output was then used as input to a fate and transport model in order to simulate 30-year plume migration. The combined model results showed that for some contaminants, the plumes would be migrating well off base in 30 years, which could initiate a costly interim corrective action. Investigation of model input parameters indicated that unrealistically large hydraulic conductivities of 244 ft/day were needed in order to achieve model calibration. Fundamental statistical, hydraulic and geostatistical analyses later supported the hypothesis that the input parameters were fiawed and that the calibrated model produced excessive contaminant transport velocities. All too often, modeling results are submitted to the regulators without knowledge of many of the model parameters. Because these model results will likely form the basis for corrective actions at a site, incorrect model results can initiate unnecessary corrective actions. It is important to take time to investigate the model parameters as well as the type of model that is being used to see if they seem realistic given the known hydrogeology of the site.
机译:作为现场修复的一部分,地下水模型经常用作修复是必要的,如果是,则获得初步修复目标。实际的现场数据用作型号输入,模型估计未来的污染羽流迁移。通常,模拟了30年的羽流迁移。通常,使用诸如Modflow的大型数值模型来定义潜在的水文地质条件。为了生成最佳模型,需要正确的类型和足够的输入数据。在大多数情况下,这些数据不可用。模型正确性的典型测试是模型校准。通过操纵输入参数,建模器尝试使模型输出适合现有的现场数据。如果拟合在某些统计限制范围内,则该模型被称为“校准”,旨在表示模型输出是正确的。针对精心确定的确定性模型的警告是可以实现校准,并且通常需要通过不准确和不切实际的输入数据或输出数据来实现。也就是说,这些模型通常很复杂,模型输入的一个区域中的错误可以在其他变量中偏移偏移,以便可以通过完全不适当的模型配置来实现校准。理想情况下,使用独立数据集的验证应遵循校准。然而,频繁地,这些大型复杂的数值模型需要如此多的输入信息,即无法释放额外的验证步骤。在Tinker AFB处,产生复杂的模型模型以确定液压头和基座的西北角的相关污染速度。然后将模型输出用作命运和传输模型的输入,以模拟30年的羽流迁移。组合的模型结果表明,对于一些污染物,羽毛将在30年内迁移良好的基地,这可以启动昂贵的临时纠正措施。模型输入参数的调查表明,为了实现模型校准,需要444英尺/天的不切实际的液压导电性。基本统计,液压和地统计分析后来支持了输入参数的假设,并且校准模型产生过量的污染物运输速度。通常,建模结果已提交给监管机构,而不知道许多模型参数。因为这些模型结果可能会为站点进行纠正措施的基础,所以模型结果不正确可以启动不必要的纠正措施。需要花时间来调查模型参数以及所用模型的类型,以便在鉴于现场已知的水文地质似乎熟悉。

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