Evaluation of the impacts of hydrologic model calibration methods on predictability of ecologically-relevant hydrologic indices

[1]  B. Majone,et al.  Uncertainty of modelled flow regime for flow-ecological assessment in Southern Europe. , 2018, The Science of the total environment.

[2]  Nicola Fohrer,et al.  Improving hydrological model optimization for riverine species , 2017 .

[3]  Lester L. Yuan,et al.  Modeled hydrologic metrics show links between hydrology and the functional composition of stream assemblages. , 2017, Ecological applications : a publication of the Ecological Society of America.

[4]  Ludovic Oudin,et al.  Which objective function to calibrate rainfall–runoff models for low-flow index simulations? , 2017 .

[5]  David G. Tarboton,et al.  Potential Effects of Climate Change on Ecologically Relevant Streamflow Regimes , 2016 .

[6]  A. Pouyan Nejadhashemi,et al.  Large-scale climate change vulnerability assessment of stream health , 2016 .

[7]  Quanxi Shao,et al.  Multi-metric calibration of hydrological model to capture overall flow regimes , 2016 .

[8]  J. Suen,et al.  Estimating the Ungauged Natural Flow Regimes for Environmental Flow Management , 2016, Water Resources Management.

[9]  Kalyanmoy Deb,et al.  A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives , 2016, IEEE Transactions on Evolutionary Computation.

[10]  Mohammad Abouali,et al.  MATLAB Hydrological Index Tool (MHIT): A high performance library to calculate 171 ecologically relevant hydrological indices , 2016, Ecol. Informatics.

[11]  Mohammad Abouali,et al.  Ecohydrological modeling for large-scale environmental impact assessment. , 2016, The Science of the total environment.

[12]  D. Peters,et al.  Assessment of a hydrologic model's reliability in simulating flow regime alterations in a changing climate , 2016 .

[13]  G. Sun,et al.  A comparison of hydrologic models for ecological flows and water availability , 2015 .

[14]  David P. Hamilton,et al.  Predicting the resilience and recovery of aquatic systems: A framework for model evolution within environmental observatories , 2015 .

[15]  Matthew R. Herman,et al.  A review of macroinvertebrate- and fish-based stream health indices , 2015 .

[16]  William J. Wolfe,et al.  Model Calibration Criteria for Estimating Ecological Flow Characteristics , 2015 .

[17]  Bryan A. Tolson,et al.  Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives , 2015 .

[18]  Abdol-Hossein Esfahanian,et al.  Ecohydrological model parameter selection for stream health evaluation. , 2015, The Science of the total environment.

[19]  Naresh Pai,et al.  Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria , 2015 .

[20]  Avi Ostfeld,et al.  Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions , 2014, Environ. Model. Softw..

[21]  Kalyanmoy Deb,et al.  An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.

[22]  Kalyanmoy Deb,et al.  An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point Based Nondominated Sorting Approach, Part II: Handling Constraints and Extending to an Adaptive Approach , 2014, IEEE Transactions on Evolutionary Computation.

[23]  D. Peters,et al.  Evaluating the ability of a hydrologic model to replicate hydro‐ecologically relevant indicators , 2014 .

[24]  Jiazheng Lu,et al.  Multi-objective optimization of empirical hydrological model for streamflow prediction , 2014 .

[25]  G. You,et al.  The examination of reproducibility in hydro-ecological characteristics by daily synthetic flow models , 2014 .

[26]  N. Fohrer,et al.  Smart low flow signature metrics for an improved overall performance evaluation of hydrological models , 2014 .

[27]  H. E. Andersen,et al.  Multiobjective calibration for comparing channel sediment routing models in the soil and water assessment tool. , 2014, Journal of environmental quality.

[28]  H. J. Henriksen,et al.  Evaluation of a typical hydrological model in relation to environmental flows , 2013 .

[29]  Kalyanmoy Deb,et al.  A Hybrid Framework for Evolutionary Multi-Objective Optimization , 2013, IEEE Transactions on Evolutionary Computation.

[30]  William J. Wolfe,et al.  PREDICTING ECOLOGICAL FLOW REGIME AT UNGAGED SITES: A COMPARISON OF METHODS , 2013 .

[31]  Joseph R. Kasprzyk,et al.  Evolutionary multiobjective optimization in water resources: The past, present, and future , 2012 .

[32]  Katie Price,et al.  Tradeoffs among watershed model calibration targets for parameter estimation , 2012 .

[33]  W. Wolfe,et al.  Modelling ecological flow regime: an example from the Tennessee and Cumberland River basins , 2012 .

[34]  C. Perrin,et al.  A review of efficiency criteria suitable for evaluating low-flow simulations , 2012 .

[35]  Lucas Bradstreet,et al.  A Fast Way of Calculating Exact Hypervolumes , 2012, IEEE Transactions on Evolutionary Computation.

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

[37]  Stephen R. Carpenter,et al.  State of the world's freshwater ecosystems: physical, chemical, and biological changes. , 2011 .

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

[39]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[40]  Á. Borja,et al.  The European Water Framework Directive at the age of 10: a critical review of the achievements with recommendations for the future. , 2010, The Science of the total environment.

[41]  Charles H. Luce,et al.  Macroscale hydrologic modeling of ecologically relevant flow metrics , 2010 .

[42]  Indrajeet Chaubey,et al.  Sensitivity and identifiability of stream flow generation parameters of the SWAT model , 2010 .

[43]  Demetris Koutsoyiannis,et al.  One decade of multi-objective calibration approaches in hydrological modelling: a review , 2010 .

[44]  N. Poff,et al.  Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows , 2010 .

[45]  Mahyar Shafii,et al.  Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm , 2009 .

[46]  P. Reed,et al.  Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models , 2009 .

[47]  Julian D. Olden,et al.  Quantifying uncertainty in estimation of hydrologic metrics for ecohydrological studies , 2009 .

[48]  R. Norris,et al.  Predicting the natural flow regime: models for assessing hydrological alteration in streams , 2009 .

[49]  Anne Auger,et al.  Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point , 2009, FOGA '09.

[50]  John Lyons,et al.  Conservation status of imperiled north American freshwater and diadromous fishes , 2008 .

[51]  Kalyanmoy Deb,et al.  A robust evolutionary framework for multi-objective optimization , 2008, GECCO '08.

[52]  Jonathan G. Kennen,et al.  Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites , 2008 .

[53]  John W. Nicklow,et al.  Multi-objective automatic calibration of SWAT using NSGA-II , 2007 .

[54]  Remegio Confesor,et al.  Automatic Calibration of Hydrologic Models With Multi‐Objective Evolutionary Algorithm and Pareto Optimization 1 , 2007 .

[55]  N. LeRoy Poff,et al.  The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards , 2007 .

[56]  Thibault Mathevet,et al.  Dynamic averaging of rainfall‐runoff model simulations from complementary model parameterizations , 2006 .

[57]  Brian P. Bledsoe,et al.  Predicting streamflow regime metrics for ungauged streamsin Colorado, Washington, and Oregon , 2006 .

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

[59]  R. Naiman,et al.  Freshwater biodiversity: importance, threats, status and conservation challenges , 2006, Biological reviews of the Cambridge Philosophical Society.

[60]  P. Krause,et al.  COMPARISON OF DIFFERENT EFFICIENCY CRITERIA FOR HYDROLOGICAL MODEL ASSESSMENT , 2005 .

[61]  James R. Karr,et al.  Biological Assessment and Criteria Improve Total Maximum Daily Load Decision Making , 2004 .

[62]  J. Olden,et al.  Redundancy and the choice of hydrologic indices for characterizing streamflow regimes , 2003 .

[63]  A. Arthington,et al.  Basic Principles and Ecological Consequences of Altered Flow Regimes for Aquatic Biodiversity , 2002, Environmental management.

[64]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[65]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[66]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.

[67]  Ian Maddock,et al.  The Importance of Physical Habitat Assessment for Evaluating River Health , 1999 .

[68]  J. Karr Defining and measuring river health , 1999 .

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

[70]  R. Sparks,et al.  THE NATURAL FLOW REGIME. A PARADIGM FOR RIVER CONSERVATION AND RESTORATION , 1997 .

[71]  David P. Braun,et al.  A Method for Assessing Hydrologic Alteration within Ecosystems , 1996 .

[72]  James R. Karr,et al.  Ecological perspective on water quality goals , 1981 .

[73]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[74]  J. C. Beck,et al.  WEATHER AND THE CLIMATE , 1940 .

[75]  C. E. Koeppe,et al.  Weather and climate , 1935 .