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Data model for system conceptualization in groundwater studies
Authors:Xiaoying Yang  David R Steward  Willem J de Lange  Simon Y Lauwo  Richard M Chubb  Eric A Bernard
Institution:1. Department of Civil Engineering , Kansas State University , Manhattan, KS, USA xiaoying@ksu.edu;3. Department of Civil Engineering , Kansas State University , Manhattan, KS, USA;4. Institute for Inland Water Management and Waste Water Treatment, RIZA , Lelystad, The Netherlands;5. Office of Mediated Education , Kansas State University , Manhattan, KS, USA;6. Department of Landscape Architecture/Regional and Community Planning , Kansas State University , Manhattan, KS, USA
Abstract:Development of a conceptualization of a hydrogeologic system serves as the basis of groundwater modeling. While existing groundwater data models are designed to store groundwater system information, none is designed to capture its conceptual view. This study addresses this need by presenting a new object-oriented Conceptualization Groundwater Data Model that represents a groundwater system as a series of aquifer layers with defined aquifer properties and water boundary conditions. A case study is presented that develops the conceptual view of the groundwater system beneath Konza Prairie. This single conceptualization is used to support groundwater models across existing technologies of finite difference, finite element, and analytical element methods. While the models each employ different mathematics, data input files, and formats, all models are founded on the same conceptualization process that is represented using this new data model. The case study illustrates the data model's promise as an effective mechanism for groundwater system conceptualization and data storage, and utility for various groundwater computational models. This conceptualization of a groundwater data model suggests a new focus on incorporating system conceptualization into data model design.
Keywords:data model  conceptualization  groundwater  simulation
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