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- W2285849013 abstract "A methodology has been developed to delineate recharge areas that support groundwater-dependent ecological features such as wetlands and coldwater streams. Numerical groundwater models are employed together with particle tracking techniques to link recharge areas to specific ecological features. Kernel density estimation methods are used to identify areas that contain the maximum number of particle endpoints per unit area. These high-density endpoint clusters are subsequently mapped as ecologically significant groundwater recharge areas (ESGRAs). The technique can be utilized with either finite-element or finite-difference groundwater models which are loosely coupled or fully integrated with a distributed hydrologic model. A good representation of both the surface water and the shallow groundwater system is required and the models should be based on a rigorous understanding of the regional, watershed and local-scale geologic, hydrogeologic and hydrologic setting. This manuscript describes how the methodol..." @default.
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- W2285849013 date "2015-09-12" @default.
- W2285849013 modified "2023-09-23" @default.
- W2285849013 title "A methodology for identifying ecologically significant groundwater recharge areas" @default.
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- W2285849013 doi "https://doi.org/10.1080/07011784.2015.1080125" @default.
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