Nitrate reduction in geologically heterogeneous catchments--a framework for assessing the scale of predictive capability of hydrological models.

[1]  Esben Auken,et al.  A parallel, scalable and memory efficient inversion code for very large‐scale airborne electromagnetics surveys , 2015 .

[2]  K. Jensen,et al.  Importance of including small‐scale tile drain discharge in the calibration of a coupled groundwater‐surface water catchment model , 2013 .

[3]  Jens Christian Refsgaard,et al.  Spatial-scale characteristics of precipitation simulated by regional climate models and the implications for hydrological modeling , 2012 .

[4]  E. Auken,et al.  Combining ground-based and airborne EM through Artificial Neural Networks for modelling glacial till under saline groundwater conditions , 2012 .

[5]  Esben Auken,et al.  Transboundary geophysical mapping of geological elements and salinity distribution critical for the assessment of future sea water intrusion in response to sea level rise , 2012 .

[6]  Karsten H. Jensen,et al.  Statistical analysis of the impact of radar rainfall uncertainties on water resources modeling , 2011 .

[7]  C. T. Green,et al.  The fate and transport of nitrate in shallow groundwater in northwestern Mississippi, USA , 2011 .

[8]  Jens Christian Refsgaard,et al.  Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling , 2010 .

[9]  Esben Auken,et al.  A Global Measure for Depth of Investigation , 2010 .

[10]  Jens Christian Refsgaard,et al.  Groundwater Modeling in Integrated Water Resources Management—Visions for 2020 , 2010, Ground water.

[11]  Hans Peter Broers,et al.  Field‐Scale Measurements for Separation of Catchment Discharge into Flow Route Contributions , 2010 .

[12]  Jens Christian Refsgaard,et al.  An integrated and physically based nitrogen cycle catchment model , 2009 .

[13]  Andrea Viezzoli,et al.  Spatially constrained inversion for quasi 3D modelling of airborne electromagnetic data – an application for environmental assessment in the Lower Murray Region of South Australia , 2009 .

[14]  A. Christiansen,et al.  An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system , 2009 .

[15]  B Grizzetti,et al.  Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments. , 2009, Journal of environmental monitoring : JEM.

[16]  B. Kronvang,et al.  Towards European harmonised procedures for quantification of nutrient losses from diffuse sources--the EUROHARP project. , 2009, Journal of environmental monitoring : JEM.

[17]  S. Anthony,et al.  Evaluation of the difference of eight model applications to assess diffuse annual nutrient losses from agricultural land. , 2009, Journal of environmental monitoring : JEM.

[18]  M. Dahl,et al.  European case studies supporting the derivation of natural background levels and groundwater threshold values for the protection of dependent ecosystems and human health. , 2008, The Science of the total environment.

[19]  S. Hansen,et al.  Field scale heterogeneity of redox conditions in till-upscaling to a catchment nitrate model , 2008 .

[20]  A. Christiansen,et al.  Quasi-3D modeling of airborne TEM data by spatially constrained inversion , 2008 .

[21]  Peter A. Vanrolleghem,et al.  Uncertainty in the environmental modelling process - A framework and guidance , 2007, Environ. Model. Softw..

[22]  K. Jensen,et al.  The importance of alternative conceptual models for simulation of concentrations in a multi-aquifer system , 2007 .

[23]  J. Vrbancich,et al.  Identification of calibration errors in helicopter electromagnetic (HEM) data through transform to the altitude-corrected phase-amplitude domain , 2006 .

[24]  J. Refsgaard,et al.  Model uncertainty--parameter uncertainty versus conceptual models. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[25]  Esben Auken,et al.  SkyTEM–a New High-resolution Helicopter Transient Electromagnetic System , 2004 .

[26]  R. Thomsen,et al.  Hydrogeological mapping as a basis for establishing site-specific groundwater protection zones in Denmark , 2004 .

[27]  F. Bouraoui,et al.  Modeling flow and nitrate fate at catchment scale in Brittany (France). , 2003, Journal of environmental quality.

[28]  Maja Brandt,et al.  Watershed modelling of nonpoint nitrogen losses from arable land to the Swedish coast in 1985 and 1994 , 2000 .

[29]  J. Refsgaard,et al.  Large scale modelling of groundwater contamination from nitrate leaching , 1999 .

[30]  J. Sørensen,et al.  Reduction of nitrate in clayey subsoils controlled by geochemical and microbial barriers , 1998 .

[31]  E. J. Wilson,et al.  A semi-distributed integrated flow and nitrogen model for multiple source assessment in catchments (INCA): Part II — application to large river basins in south Wales and eastern England , 1998 .

[32]  J. Refsgaard.  Parameterisation, calibration and validation of distributed hydrological models , 1997 .

[33]  V. Ernstsen.  Reduction of Nitrate By Fe2+ in Clay Minerals , 1996 .

[34]  P. Rasmussen.  Monitoring shallow groundwater quality in agricultural watersheds in Denmark , 1996 .

[35]  Keith Beven,et al.  Linking parameters across scales: Subgrid parameterizations and scale dependent hydrological models. , 1995 .

[36]  Merete Styczen,et al.  Modelling of N-movements on catchment scale - a tool for analysis and decision making , 1993, Fertilizer research.

[37]  D. Postma,et al.  Nitrate Reduction in an Unconfined Sandy Aquifer: Water Chemistry, Reduction Processes, and Geochemical Modeling , 1991 .

[38]  Keith Beven,et al.  Effects of spatial variability and scale with implications to hydrologic modeling , 1988 .

[39]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system , 1986 .

[40]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .

[41]  Merete Styczen,et al.  Modelling of N-movements on catchment scale - a tool for analysis and decision making , 2004, Fertilizer research.

[42]  Sebastien Strebelle,et al.  Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics , 2002 .

[43]  Steven F. Carle,et al.  CONDITIONAL SIMULATION OF HYDROFACIES ARCHITECTURE: A TRANSITION PROBABILITY/MARKOV APPROACH1 , 1998 .

[44]  C. Appelo,et al.  Geochemistry, groundwater and pollution , 1993 .