Groundwater Flow and Contaminant Transport
Groundwater Flow and Contaminant Transport BSysE 595
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This 5 page Class Notes was uploaded by Haylie Rowe on Thursday September 17, 2015. The Class Notes belongs to BSysE 595 at Washington State University taught by Staff in Fall. Since its upload, it has received 62 views. For similar materials see /class/205960/bsyse-595-washington-state-university in Bioengineering at Washington State University.
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Date Created: 09/17/15
Introduction to GroundWater Flow Simulation 1 Usefulness of Groundwater Model A central tenet properly designed amp constructed models can serve as prediction tools they can corroborate hypothesis elucidate discrepancies in other models be used for sensitivity analysis for exploring What iiquot questions 2 Generalized Modeling Approach Develop conceptual model Create numericalanalytical model Execute model for various scenarios Evaluate model results and calibrate model Validate model and decide on the need for further data and modification of model 3 Establishing Conceptual Model Created through evaluation of existing hydrogeologic data to provide a picture or description of the hydrogeologic setting over the region of interest Synthesized information often include Geometric dimensions of aquifer and major geologic units Hydraulic properties Boundary conditions Initial conditions Distribution and rates of groundwater recharge 4 GroundWater Simulation Techniques Analytical solutions may be obtained for simplified situations not Widely used except for well hydraulics Numerical methods much more versatile easier to use including finite differences FD finite elements FE integrated finite differences boundary integral equation method analytic elements The essence of numerical methods to replace the original PDE with a set of algebraic equations to be solved by a computer Difference in FD and FE discretization strategy regular rectangular grid for the former and triangular quadrilateral grid for the latter Common feature head calculated for node points only 5 Model Results Evaluation and Calibration Calibration adjusting certain parameters to achieve good match between predictions and observations accomplished by trialanderror or using automated inverse procedures Pitfall nonuniqueness of calibration Some calibration criteria Mean error 1 2 hm hpi n 39 1 Mean absolute error 1 2 hm hpi n i1 1quot 2 E h h 2 i1 01 In Rootmean squared error n Other criteria correct ow directions and Vh 6 Model Validation Involves using calibrated model to simulate a hydrologic response that is known Field records may be split into two groups one for calibration and the other validation Difference between verification and validation 7 Note of Caution The entire model development process does not lead to a perfect model Model results accuracy depends largely on input data accuracy Avoid two extremes of viewpoint panacea vs garbage
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