The challenges of modelling phosphorus in a headwater catchment: Applying a ‘limits of acceptability’ uncertainty framework to a water quality model

[1]  Maity Gouranga,et al.  COMPREHENSIVE STUDY OF , 2018 .

[2]  K. Beven,et al.  Major agricultural changes required to mitigate phosphorus losses under climate change , 2017, Nature Communications.

[3]  K. Moore,et al.  Predicting saturation‐excess runoff distribution with a lumped hillslope model: SWAT‐HS , 2017 .

[4]  T. Steenhuis,et al.  Suitability of Watershed Models to Predict Distributed Hydrologic Response in the Awramba Watershed in Lake Tana Basin , 2017 .

[5]  Yi He,et al.  Modelling the impacts of agricultural management practices on river water quality in Eastern England. , 2016, Journal of environmental management.

[6]  J. Xia,et al.  Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China , 2016 .

[7]  K. Beven,et al.  Uncertainty assessment of a dominant-process catchment model of dissolved phosphorus transfer , 2016 .

[8]  K. Beven,et al.  Changing climate and nutrient transfers: Evidence from high temporal resolution concentration-flow dynamics in headwater catchments. , 2016, The Science of the total environment.

[9]  ปฏิวิชช์ สาระพิน และคณะ การศึกษาความสัมพันธ์ระหว่างการเปลี่ยนแปลงการใช้ประโยชน์ที่ดินกับสมดุลน้ำ ในพื้นที่ชุ่มน้ำบึงบอระเพ็ดด้วยแบบจำลอง Soil and Water Assessment Tool , 2016 .

[10]  Hong Wang,et al.  Impact of LUCC on Streamflow using the SWAT Model over the Wei 1 River Basin on the Loess Plateau of China 2 3 , 2016 .

[11]  S. Reaney,et al.  Dominant mechanisms for the delivery of fine sediment and phosphorus to fluvial networks draining grassland dominated headwater catchments. , 2015, The Science of the total environment.

[12]  Richard A. Skeffington,et al.  High‐frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive , 2015 .

[13]  C. Gascuel-Odoux,et al.  Distinct export dynamics for dissolved and particulate phosphorus reveal independent transport mechanisms in an arable headwater catchment , 2015 .

[14]  P. J. Smith,et al.  A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations , 2015, Water resources research.

[15]  P G Whitehead,et al.  Assessing the impacts of climate change and socio-economic changes on flow and phosphorus flux in the Ganga river system. , 2015, Environmental science. Processes & impacts.

[16]  Andrea Rinaldo,et al.  Modeling chloride transport using travel time distributions at Plynlimon, Wales , 2015 .

[17]  Hilary McMillan,et al.  Rating curve estimation under epistemic uncertainty , 2015 .

[18]  D. Lapen,et al.  Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin. , 2015, Journal of environmental management.

[19]  Haw Yen,et al.  The impact of considering uncertainty in measured calibration/validation data during auto-calibration of hydrologic and water quality models , 2015, Stochastic Environmental Research and Risk Assessment.

[20]  M. Karamouz,et al.  Uncertainty based analysis of the impact of watershed phosphorus load on reservoir phosphorus concentration , 2015 .

[21]  Martyn P. Clark,et al.  Diagnostic evaluation of multiple hypotheses of hydrological behaviour in a limits‐of‐acceptability framework for 24 UK catchments , 2014 .

[22]  R. Wilby,et al.  Flow pathways and nutrient transport mechanisms drive hydrochemical sensitivity to climate change across catchments with different geology and topography , 2014 .

[23]  Andrew Binley,et al.  GLUE: 20 years on , 2014 .

[24]  Matthew T Perks,et al.  High-frequency monitoring of nitrogen and phosphorus response in three rural catchments to the end of the 2011–2012 drought in England , 2014 .

[25]  J. David Allan,et al.  Interacting effects of climate change and agricultural BMPs on nutrient runoff entering Lake Erie , 2014 .

[26]  H. Fowler,et al.  Heavier summer downpours with climate change revealed by weather forecast resolution model , 2014 .

[27]  K. R. Douglas-Mankin,et al.  Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations , 2014, Environ. Model. Softw..

[28]  A A Lovett,et al.  Developing Demonstration Test Catchments as a platform for transdisciplinary land management research in England and Wales. , 2014, Environmental science. Processes & impacts.

[29]  Zhenyao Shen,et al.  Uncertainty of SWAT model at different DEM resolutions in a large mountainous watershed. , 2014, Water research.

[30]  Keith Beven,et al.  Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models , 2014 .

[31]  N. Fohrer,et al.  How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance , 2014 .

[32]  A. Pouyan Nejadhashemi,et al.  Assessing uncertainty in best management practice effectiveness under future climate scenarios , 2014 .

[33]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[34]  A. J. Wade,et al.  A cost-effectiveness analysis of water security and water quality: impacts of climate and land-use change on the River Thames system , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[35]  J. Vrugt,et al.  Toward diagnostic model calibration and evaluation: Approximate Bayesian computation , 2013 .

[36]  K. Beven,et al.  Estimating phosphorus delivery with its mitigation measures from soil to stream using fuzzy rules , 2013 .

[37]  Li Jin,et al.  Impacts of climate change on hydrology and water quality: Future proofing management strategies in the Lake Simcoe watershed, Canada , 2013 .

[38]  Qin Huang,et al.  A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling , 2013 .

[39]  J. Freer,et al.  Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality , 2012 .

[40]  Matthew T Perks,et al.  Monitoring agricultural diffuse pollution through a dense monitoring network in the River Eden Demonstration Test Catchment, Cumbria, UK , 2012 .

[41]  Lei Chen,et al.  Impact of spatial rainfall variability on hydrology and nonpoint source pollution modeling , 2012 .

[42]  Trevor Page,et al.  Eliciting fuzzy distributions from experts for ranking conceptual risk model components , 2012, Environ. Model. Softw..

[43]  Christopher J.A. Macleod,et al.  Comparing empirical models for sediment and phosphorus transfer from soils to water at field and catchment scale under data uncertainty , 2012 .

[44]  K. Beven,et al.  Scaling up the phosphorus signal from soil hillslopes to headwater catchments , 2012 .

[45]  K. Beven Rainfall-Runoff Modelling: The Primer , 2012 .

[46]  C. Macleod,et al.  The Effects of Climate Change on the Mobilization of Diffuse Substances from Agricultural Systems , 2012 .

[47]  Raghavan Srinivasan,et al.  SWAT: Model Use, Calibration, and Validation , 2012 .

[48]  Keith Beven,et al.  On the colour and spin of epistemic error (and what we might do about it) , 2011 .

[49]  Jeffrey G. Arnold,et al.  Soil and Water Assessment Tool Theoretical Documentation Version 2009 , 2011 .

[50]  Lei Chen,et al.  Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir Region, China , 2011 .

[51]  Richard A. Wadsworth,et al.  Final Report for LCM2007 - the new UK land cover map. Countryside Survey Technical Report No 11/07 , 2011 .

[52]  Keith Beven,et al.  I believe in climate change but how precautionary do we need to be in planning for the future? , 2011 .

[53]  Keith Beven,et al.  Stage‐discharge uncertainty derived with a non‐stationary rating curve in the Choluteca River, Honduras , 2011 .

[54]  Jim Freer,et al.  Ensemble evaluation of hydrological model hypotheses , 2010 .

[55]  K. Beven,et al.  A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic , 2009 .

[56]  Keith Beven,et al.  Uncertainty assessment of a process-based integrated catchment model of phosphorus , 2009 .

[57]  J. Freer,et al.  Diffuse phosphorus models in the United States and europe: their usages, scales, and uncertainties. , 2009, Journal of environmental quality.

[58]  Jim Freer,et al.  Uncertainties in data and models to describe event dynamics of agricultural sediment and phosphorus transfer. , 2009, Journal of environmental quality.

[59]  Jim Freer,et al.  Towards a limits of acceptability approach to the calibration of hydrological models : Extending observation error , 2009 .

[60]  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.

[61]  Glenis,et al.  UK Climate Projections science report: Projections of future daily climate for the UK from the Weather Generator , 2009 .

[62]  G. O'Donnell,et al.  Multiscale experimentation, monitoring and analysis of long-term land use changes and flood risk , 2008 .

[63]  Tammo S. Steenhuis,et al.  Incorporating variable source area hydrology into a curve‐number‐based watershed model , 2007 .

[64]  K. Beven Environmental Modelling , 2007 .

[65]  J. Freer,et al.  Processes affecting transfer of sediment and colloids, with associated phosphorus, from intensively farmed grasslands: a critical note on modelling of phosphorus transfers , 2007 .

[66]  Jeffrey G. Arnold,et al.  The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .

[67]  Keith Beven,et al.  Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty) , 2007 .

[68]  Penny J Johnes,et al.  Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density , 2007 .

[69]  Keith Beven,et al.  Influence of uncertain boundary conditions and model structure on flood inundation predictions. , 2006 .

[70]  K. C. Abbaspour,et al.  Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa , 2006 .

[71]  Katri Rankinen,et al.  An application of the GLUE methodology for estimating the parameters of the INCA-N model. , 2006, The Science of the total environment.

[72]  R. Srinivasan,et al.  A global sensitivity analysis tool for the parameters of multi-variable catchment models , 2006 .

[73]  Keith Beven,et al.  A manifesto for the equifinality thesis , 2006 .

[74]  Jimmy R. Williams,et al.  Simulating soil C dynamics with EPIC: Model description and testing against long-term data , 2006 .

[75]  S. Grunwald,et al.  A global sensitivity analysis tool for the parameters of multivariable catchment models , 2006 .

[76]  P M Haygarth,et al.  Phosphorus dynamics observed through increasing scales in a nested headwater-to-river channel study. , 2005, The Science of the total environment.

[77]  J. McDonnell,et al.  Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures , 2004 .

[78]  T. Page,et al.  Predictive Capability in Estimating Changes in Water Quality: Long-Term Responses to Atmospheric Deposition , 2004 .

[79]  Keith Beven,et al.  Investigating the Uncertainty in Predicting Responses to Atmospheric Deposition using the Model of Acidification of Groundwater in Catchments (MAGIC) within a Generalised Likelihood Uncertainty Estimation (GLUE) Framework , 2003 .

[80]  D. Marchant,et al.  The diagnostic evaluation. , 2002, Obstetrics and gynecology clinics of North America.

[81]  Keith Beven,et al.  Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system , 2002 .

[82]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[83]  Tammo S. Steenhuis,et al.  SCS Runoff Equation Revisited for Variable-Source Runoff Areas , 1995 .

[84]  Jimmy R. Williams,et al.  Continuous-time water and sediment-routing model for large basins , 1995 .

[85]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[86]  John R. Williams,et al.  The erosion-productivity impact calculator (EPIC) model: a case history , 1990 .

[87]  Keith Beven,et al.  A Discussion of Distributed Hydrological Modelling , 1990 .

[88]  W. G. Knisel,et al.  GLEAMS: Groundwater Loading Effects of Agricultural Management Systems , 1987 .

[89]  P. M. Kelly,et al.  Effects on climate , 1980, Nature.

[90]  W. G. Knisel,et al.  CREAMS: a field scale model for Chemicals, Runoff, and Erosion from Agricultural Management Systems [USA] , 1980 .

[91]  B. Bache,et al.  Soil and Water , 1971, Nature.

[92]  D. Jones Symposia of the Society for Experimental Biology. , 1969 .

[93]  D. L. Brakensiek,et al.  Kinematic Flood Routing , 1967 .

[94]  D. Overton Muskingum flood routing of upland streamflow , 1966 .