Fienen, Michael N., - ECU Libraries Catalog

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Cover image for Using models for the optimization of hydrologic monitoring

Using models for the optimization of hydrologic monitoring

2010
Format: Electronic

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Cover image for Approaches in highly parameterized inversion

Approaches in highly parameterized inversion

by Fienen, Michael N.
2013
Format: Electronic

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Cover image for CloudPEST

CloudPEST

by Fienen, Michael N.
2011
Format: Electronic

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Cover image for Assessment of groundwater trends near Crex Meadows, Wisconsin

Assessment of groundwater trends near Crex Meadows, Wisconsin

by Haserodt, Megan J.
2021
Format: Electronic

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Cover image for Approaches to highly parameterized inversion

Approaches to highly parameterized inversion

by Doherty, John E.
2010
Format: Electronic

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Cover image for Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin

Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin

by Fienen, Michael N.
2013
Format: Electronic

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Cover image for Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts

Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts

by Walter, Donald A.
2019
Format: Electronic

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Cover image for Simulation of the shallow groundwater-flow system near Mole Lake, Forest County, Wisconsin

Simulation of the shallow groundwater-flow system near Mole Lake, Forest County, Wisconsin

by Fienen, Michael N.
2011
Format: Electronic

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Cover image for Simulation of groundwater flow and interaction of groundwater and surface water on the Lac du Flambeau Reservation, Wisconsin

Simulation of groundwater flow and interaction of groundwater and surface water on the Lac du Flambeau Reservation, Wisconsin

by Juckem, Paul F.
2014
Format: Electronic

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Cover image for Using prediction uncertainty analysis to design hydrologic monitoring networks

Using prediction uncertainty analysis to design hydrologic monitoring networks

2011
Format: Electronic

Location
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