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Thomas Reimann

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Researcher and Lecturer

Technische Universität Dresden

Germany

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Characterisation and modelling of multi-compartment karst systems by integrated interpretation of spring signals - iKarst

Open Date: 2018-01-01

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Articles (13)

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Collaborators (7)

Matteo Albano

Permanent researcher

Istituto Nazionale di Geofisica e Vulcanologia

ITALY

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Olaf Kolditz

Head of Department

Helmholtz-Zentrum für Umweltforschung UFZ

GERMANY

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Marco PETITTA

Full Professor

Università degli Studi di Roma La Sapienza

ITALY

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Nicola Bonora

Professor

University of Cassino and Southern Lazio

ITALY

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Ezra Haaf

Researcher

Chalmers University of Technology

SWEDEN

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Jannes Kordilla

University of Goettingen

GERMANY

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Gerik Scheuermann

Leipzig University

GERMANY

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Thomas Reimann

Research Interests

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Recent Grants

Articles (13)

How earthquakes reshape carbonate aquifers: Modelling groundwater redistribution in Central Italy after the October 2016, Mw 6.5 Norcia earthquake

Interactive educational applications for hydrogeology and groundwater management

Development of a Dual‐Domain Karst Flow Model Under Consideration of Preferential Film‐Flow Dynamics and Analysis of Compartment‐Specific Parameter Sensitivities

The Hydrodynamic Response of the Sibillini Mts. Carbonate Hydrostructure Before and After the Mw 6.5 Norcia Earthquake (Central Italy): Hints from Numerical Models

“Feels Like an Indie Game”—Evaluation of a Virtual Field Trip Prototype on Radioactive Waste Management Research for University Education

Evaluation of inferred conduit configurations in the Yucatan karst system (Mexico) from gravity and aeromagnetic anomalies, using MODFLOW-CFPv2

Groundwater Flow Numerical Analysis Of The Sibillini Hydrostructure (Central Italy): System Characterization And Evaluation Of Hydrogeological Changes After The Mw 6.5 Norcia Earthquake

Laboratory and numerical simulations of infiltration process and solute transport in karst vadose zone

Joint inversion of groundwater flow, heat, and solute state variables: a multipurpose approach for characterization and forecast of karst systems

Data‐Driven Estimation of Groundwater Level Time‐Series at Unmonitored Sites Using Comparative Regional Analysis

A data-driven approach for modelling Karst spring discharge using transfer function noise models

Toward the estimation of the transfer coefficient in karst systems: Using baseflow recession coefficient under matrix-restrained flow regime

CFPy – A Python Package for Pre- and Postprocessing of the Conduit Flow Process of MODFLOW

Collaborators (7)

Matteo Albano

Olaf Kolditz

Marco PETITTA

Nicola Bonora

Ezra Haaf

Jannes Kordilla

Gerik Scheuermann

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