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Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
High Capacity Wells And Baseflow Decline In The Wolf River Basin, Northeaster Wisconsin (Usa), Susan A. Borchardt, Woonsup Choi, Weon Shik Han
High Capacity Wells And Baseflow Decline In The Wolf River Basin, Northeaster Wisconsin (Usa), Susan A. Borchardt, Woonsup Choi, Weon Shik Han
Geography Faculty Articles
The baseflow of the Wolf River (drainage area of 1,200 km2) in northeastern Wisconsin (USA) has declined by over 30% during the last thirty years, whereas climatic, land cover, and soil characteristics of the basin have remained unchanged. Because groundwater basins do not always coincide with surface water basins, estimating groundwater discharge to streams using variables only pertinent to the surface water basin can be ineffective. The purpose of this study is to explain the decline in the baseflow of the Wolf River by developing a multiple regression model. To take into account variables pertaining to the groundwater basin, withdrawal …
A Spatio-Temporal Analysis Of Groundwater Level Changes In Relation To Urban Growth And Groundwater Recharge Potential For Waukesha County, Wisconsin, Woonsup Choi, Ulrike Galasinski, Sung-Jin Cho, Chul-Sue Hwang
A Spatio-Temporal Analysis Of Groundwater Level Changes In Relation To Urban Growth And Groundwater Recharge Potential For Waukesha County, Wisconsin, Woonsup Choi, Ulrike Galasinski, Sung-Jin Cho, Chul-Sue Hwang
Geography Faculty Articles
The main objective of this study was to spatially and temporally analyze groundwater level changes using geographic information systems and spatial analysis with respect to urban development, groundwater water withdrawal, and groundwater recharge potential. The study focused on Waukesha County in southeastern Wisconsin, where urban development has been accelerating while groundwater has been declining during the last several decades. We analyzed data about groundwater withdrawal, groundwater level, land use/land cover, and precipitation utilizing correlation analysis, Geographically Weighted Regression (GWR), land-use change analysis, and map overlay. As a result, we found that (1) Urban areas increased faster in areas with high …