02698nas a2200181   4500008004100000245014700041210006900188300001500257490000700272520207300279100001802352700001302370700001602383700002202399700002302421700001602444856005602460       2011                        eng d00aFrom precipitation to groundwater baseflow in a native prairie ecosystem: a regional study of the Konza LTER in the Flint Hills of Kansas, USA0 aFrom precipitation to groundwater baseflow in a native prairie e  a3181 -31940 v153 a<p>Methods are developed to study hydrologic interactions across the surficial/groundwater interface in a native prairie ecosystem. Surficial ecohydrologic processes are simulated with the USDA&#39;s EPIC model using daily climate data from the Kansas Weather Data Library, vegetation and soil data from the USDA, and current land-use management practices. Results show that mean annual precipitation (from 1985&ndash;2005) is partitioned into 13% runoff regionally and 14% locally over the Konza LTER, lateral flow through soil is 1% regionally and 2% locally, groundwater recharge is 11% regionally and 9% locally, and evapotranspiration accounts for the remaining 75%. The spatial distribution of recharge was used in a regional Modflow groundwater model that was calibrated to existing groundwater observations and field measurements gathered for this study, giving a hydraulic conductivity in the Flint Hills region of 1&ndash;2 m day&minus;1 with a local zone (identified here) of 0.05&ndash;0.1 m day&minus;1. The resistance was set to fixed representative values during model calibration of hydraulic conductivity, and simple log-log relations correlate the enhanced recharge beneath ephemeral upland streams and baseflow in perennial lowland streams to the unknown resistance of the streambeds. Enhanced recharge due to stream transmission loss (the difference between terrestrial runoff and streamflow) represents a small fraction of streamflow in the ephemeral upland and the resistance of this streambed is 100 000 day. Long-term baseflow in the local Kings Creek watershed (2% of the groundwater recharge over the watershed) is met when the resistance of the lowland streambed is 1000 day. The coupled framework developed here to study surficial ecohydrological processes using EPIC and groundwater hydrogeological processes using Modflow provides a baseline hydrologic assessment and a computational platform for future investigations to examine the impacts of climate change, vegetative cover, soils, and management practices on hydrologic forcings.</p>1 aSteward, D.R.1 aYang, X.1 aLauwo, S.Y.1 aStaggenborg, S.A.1 aMacpherson, G., L.1 aWelch, S.M.  uhttps://www.hydrol-earth-syst-sci.net/15/3181/2011/01962nas a2200229   4500008004100000245006700041210006700108300001300175490000700188520130100195653002201496653001501518653001601533653001501549100001301564700001801577700002001595700001701615700001601632700001801648856006601666       2010                        eng d00aData model for system conceptualization in groundwater studies0 aData model for system conceptualization in groundwater studies  a677 -6940 v243 a<p>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&#39;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.</p>10aconceptualization10adata model10agroundwater10asimulation1 aYang, X.1 aSteward, D.R.1 ade Langeb, W.J.1 aLauwoa, S.Y.1 aChubb, R.M.1 aBernard, E.A.  uhttps://www.tandfonline.com/doi/abs/10.1080/13658810902967389