Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes

Summary Land use/land cover (LULC) and climate changes are important drivers of change in streamflow. Assessing the impact of LULC and climate changes on streamflow is typically done with a calibrated and validated watershed model. However, there is a debate on the degree of calibration required. The objective of this study was to quantify the variation in estimated relative and absolute changes in streamflow associated with LULC and climate changes with different calibration approaches. The Soil and Water Assessment Tool (SWAT) was applied in an uncalibrated (UC), single outlet calibrated (OC), and spatially-calibrated (SC) mode to compare the relative and absolute changes in streamflow at 14 gaging stations within the Santa Cruz River Watershed in southern Arizona, USA. For this purpose, the effect of 3 LULC, 3 precipitation (P), and 3 temperature (T) scenarios were tested individually. For the validation period, Percent Bias (PBIAS) values were >100% with the UC model for all gages, the values were between 0% and 100% with the OC model and within 20% with the SC model. Changes in streamflow predicted with the UC and OC models were compared with those of the SC model. This approach implicitly assumes that the SC model is “ideal”. Results indicated that the magnitude of both absolute and relative changes in streamflow due to LULC predicted with the UC and OC results were different than those of the SC model. The magnitude of absolute changes predicted with the UC and SC models due to climate change (both P and T) were also significantly different, but were not different for OC and SC models. Results clearly indicated that relative changes due to climate change predicted with the UC and OC were not significantly different than that predicted with the SC models. This result suggests that it is important to calibrate the model spatially to analyze the effect of LULC change but not as important for analyzing the relative change in streamflow due to climate change. This study also indicated that model calibration in not necessary to determine the direction of change in streamflow due to LULC and climate change.

[1]  Barnali M. Dixon,et al.  Effects of urbanization on streamflow using SWAT with real and simulated meteorological data , 2012 .

[2]  Xuesong Zhang,et al.  Multi-Site Calibration of the SWAT Model for Hydrologic Modeling , 2008 .

[3]  Laura M. Norman,et al.  Multi-gauge Calibration for Modeling the Semi-Arid Santa Cruz Watershed in Arizona-Mexico Border Area Using SWAT , 2012 .

[4]  Darius J. Semmens,et al.  THE USE OF SCENARIO ANALYSIS TO ASSESS FUTURE LANDSCAPE CHANGE ON WATERSHED CONDITION IN THE PACIFIC NORTHWEST (USA) , 2008 .

[5]  Eike Luedeling,et al.  Climate change sensitivity assessment of a highly agricultural watershed using SWAT , 2009 .

[6]  T. Huntington,et al.  Changes in the timing of high river flows in New England over the 20th Century , 2003 .

[7]  A. Bronstert,et al.  Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany , 2002 .

[8]  J. Kirchner Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology , 2006 .

[9]  Jeong-Jae Lee,et al.  Hydrological Impacts of Urban Imperviousness in White Rock Creek Watershed , 2011 .

[10]  Xuesong Zhang,et al.  On the use of multi‐algorithm, genetically adaptive multi‐objective method for multi‐site calibration of the SWAT model , 2010 .

[11]  D. Lettenmaier,et al.  The Effects of Climate Change on the Hydrology and Water Resources of the Colorado River Basin , 2004 .

[12]  Adel Shirmohammadi,et al.  EVALUATION OF THE SWAT MODEL'S SEDIMENT AND NUTRIENT COMPONENTS IN THE PIEDMONT PHYSIOGRAPHIC REGION OF MARYLAND , 2004 .

[13]  Hans R. Zuuring,et al.  Hydrologic Calibration and Validation of SWAT in a Snow‐Dominated Rocky Mountain Watershed, Montana, U.S.A. 1 , 2008 .

[14]  S. Aichele Effects of urban land-use change on streamflow and water quality in Oakland County, Michigan, 1970-2003, as inferred from urban gradient and temporal analysis , 2005 .

[15]  Yongping Yuan,et al.  Assessing impacts of Landuse and Landcover changes on hydrology for the upper San Pedro watershed , 2011 .

[16]  Megan Mehaffey,et al.  INTEGRATING LANDSCAPE ASSESSMENT AND HYDROLOGIC MODELING FOR LAND COVER CHANGE ANALYSIS 1 , 2002 .

[17]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[18]  W. Cai,et al.  Impacts of precipitation and temperature changes on annual streamflow in the Murray–Darling Basin , 2010 .

[19]  J. Garbrecht,et al.  HYDROLOGIC SIMULATION OF THE LITTLE WASHITA RIVER EXPERIMENTAL WATERSHED USING SWAT 1 , 2003 .

[20]  W. Cai,et al.  Evidence of impacts from rising temperature on inflows to the Murray‐Darling Basin , 2008 .

[21]  Puneet Srivastava,et al.  DETERMINING NUTRIENT AND SEDIMENT CRITICAL SOURCE AREAS WITH SWAT: EFFECT OF LUMPED CALIBRATION , 2011 .

[22]  B. Pijanowski,et al.  Forecasting land use change and its environmental impact at a watershed scale. , 2005, Journal of environmental management.

[23]  D. C. Flanagan,et al.  Application of the Soil and Water Assessment Tool and Annualized Agricultural Non-Point Source models in the St. Joseph River watershed , 2008, Journal of Soil and Water Conservation.

[24]  Jeffrey G. Arnold,et al.  APPLICATION OF A WATERSHED MODEL TO EVALUATE MANAGEMENT EFFECTS ON POINT AND NONPOINT SOURCE POLLUTION , 2001 .

[25]  Thomas R. Karl,et al.  Heavy Precipitation and High Streamflow in the Contiguous United States: Trends in the Twentieth Century. , 2001 .

[26]  S. Uhlenbrook,et al.  Quantifying the impact of land-use changes at the event and seasonal time scale using a process-oriented catchment model , 2004 .

[27]  M. Villarreal,et al.  A Multitemporal (1979-2009) Land-Use/Land-Cover Dataset of the Binational Santa Cruz Watershed , 2011 .

[28]  Gregory J. Cavallo,et al.  BASE FLOW TRENDS IN URBANIZING WATERSHEDS OF THE DELAWARE RIVER BASIN 1 , 2005 .

[29]  Tony Prato,et al.  PHYSICAL DETERMINANTS OF ECONOMIC VALUE OF RIPARIAN BUFFERS IN AN AGRICULTURAL WATERSHED 1 , 2001 .

[30]  Laura M. Norman,et al.  Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora , 2012 .

[31]  N. Nicholls The Changing Nature of Australian Droughts , 2004 .

[32]  R. Uijlenhoet,et al.  Effects of land use changes on streamflow generation in the Rhine basin , 2009 .

[33]  Thomas Meixner,et al.  A global and efficient multi-objective auto-calibration and uncertainty estimation method for water quality catchment models , 2007 .

[34]  Venkatesh Merwade,et al.  Impact of Watershed Subdivision and Soil Data Resolution on SWAT Model Calibration and Parameter Uncertainty 1 , 2009 .

[35]  A. Pinheiro,et al.  Assessing the impact of climate change scenarios on water resources in southern Brazil , 2013 .

[36]  Minghua Zhang,et al.  Impact of climate change on streamflow in the arid Shiyang River Basin of northwest China , 2012 .

[37]  Y. Lian,et al.  Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China , 2010 .

[38]  Rollin H. Hotchkiss,et al.  IMPACTS OF CLIMATE CHANGE ON MISSOURI RWER BASIN WATER YIELD 1 , 2001 .

[39]  Anthony J. Jakeman,et al.  Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: scenario analysis , 2009 .

[40]  Raghavan Srinivasan,et al.  Alternative River Management Using a Linked GIS-Hydrology Model , 1995 .

[41]  Heinz G. Stefan,et al.  Stream flow in Minnesota : Indicator of climate change , 2007 .

[42]  A. Sorteberg,et al.  Sensitivity of SWAT simulated streamflow to climatic changes within the Eastern Nile River basin , 2012 .

[43]  Raghavan Srinivasan,et al.  A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas , 2006, Environ. Model. Softw..

[44]  Lindi J. Quackenbush,et al.  Longitudinal study of the impacts of land cover change on hydrologic response in four mesoscale watersheds in New York State, USA , 2014 .

[45]  F. Hao,et al.  Regional Non point Source Organic Pollution Modeling and Critical Area Identification for Watershed Best Environmental Management , 2007 .

[46]  J. Tu Combined impact of climate and land use changes on streamflow and water quality in eastern Massachusetts, USA , 2009 .

[47]  Ge Sun,et al.  Streamflow Response to Climate and Landuse Changes in a Coastal Watershed in North Carolina , 2009 .

[48]  Prem B. Parajuli,et al.  Assessing sensitivity of hydrologic responses to climate change from forested watershed in Mississippi , 2010 .

[49]  Puneet Srivastava,et al.  Identifying critical source areas of nonpoint source pollution with SWAT and GWLF , 2013 .

[50]  Anthony J. Jakeman,et al.  Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) I: Model intercomparison with current land use , 2009 .

[51]  G. Heathman,et al.  Soil and Water Assessment Tool evaluation of soil and land use geographic information system data sets on simulated stream flow , 2009, Journal of Soil and Water Conservation.

[52]  Bernard A. Engel,et al.  GIS BASED LONG TERM HYDROLOGIC IMPACT EVALUATION FOR WATERSHED URBANIZATION 1 , 2003 .

[53]  David C. Goodrich,et al.  Modeling Runoff Response to Land Cover and Rainfall Spatial Variability in Semi-Arid Watersheds , 2000 .

[54]  B. Engel,et al.  MINIMIZING THE IMPACT OF URBANIZATION ON LONG TERM RUNOFF 1 , 2005 .

[55]  Dan Rosbjerg,et al.  Modelling of hydrologic processes and potential response to climate change through the use of a multisite SWAT , 2010 .

[56]  Soroosh Sorooshian,et al.  Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information , 1998 .

[57]  Nicola Fohrer,et al.  Assessment of the effects of land use patterns on hydrologic landscape functions: development of sustainable land use concepts for low mountain range areas , 2005 .

[58]  T. Okruszko,et al.  Multi-Site Calibration and Validation of the Hydrological Component of SWAT in a Large Lowland Catchment , 2011 .

[59]  Qi Hu,et al.  Annual and seasonal streamflow responses to climate and land-cover changes in the Poyang Lake basin, China , 2008 .

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

[61]  András Bárdossy,et al.  Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model , 2004 .

[62]  Dennis P. Lettenmaier,et al.  Effects of a century of land cover and climate change on the hydrology of the Puget Sound basin , 2009 .

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

[64]  Laura M. Norman,et al.  Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services , 2013 .

[65]  Kyoung Jae Lim,et al.  Runoff Impacts of Land-Use Change in Indian River Lagoon Watershed , 2002 .

[66]  Keith C. Clarke,et al.  Loose-Coupling a Cellular Automaton Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore , 1998, Int. J. Geogr. Inf. Sci..

[67]  T. Okruszko,et al.  Modelling of hydrological processes in the Narew catchment , 2011 .

[68]  Pat J.-F. Yeh,et al.  Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States , 2013 .

[69]  Elizabeth L. Chalecki,et al.  THE IMPACTS OF CLIMATIC CHANGES FOR WATER RESOURCES OF THE COLORADO AND SACRAMENTO‐SAN JOAQUIN RIVER BASINS 1 , 1999 .

[70]  Zhi-feng Yang,et al.  A distributed non-point source pollution model: calibration and validation in the Yellow River Basin. , 2004, Journal of environmental sciences.

[71]  M. D. White,et al.  The effects of watershed urbanization on the stream hydrology and riparian vegetation of Los Peñasquitos Creek, California , 2006 .

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

[73]  Xiaoyi Ma,et al.  Hydrologic sensitivity of the Upper San Joaquin River Watershed in California to climate change scenarios , 2013 .

[74]  Xuesong Zhang,et al.  SWAT Ungauged: Hydrological Budget and Crop Yield Predictions in the Upper Mississippi River Basin , 2010 .

[75]  B. Bhaduri,et al.  Assessing Watershed-Scale, Long-Term Hydrologic Impacts of Land-Use Change Using a GIS-NPS Model , 2000, Environmental management.

[76]  Karl Schneider,et al.  An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India , 2013 .

[77]  Minghua Zhang,et al.  Assessment of climate change impacts on hydrology and water quality with a watershed modeling approach. , 2013, The Science of the total environment.

[78]  Wenzhao Liu,et al.  Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China , 2009 .

[79]  D. Goodrich,et al.  KINEROS2/AGWA: Model use, calibration and validation , 2012 .

[80]  B. Yarnal,et al.  Impact of climate variation and change on Mid-Atlantic Region hydrology and water resources , 2000 .

[81]  Heejun Chang,et al.  Water resource impacts of climate change in southwestern Bulgaria , 2002 .

[82]  D. Goodrich,et al.  Scenario Analysis for the San Pedro River, Analyzing Hydrological Consequences of a Future Environment , 2004, Environmental monitoring and assessment.

[83]  J. Overpeck,et al.  Future Climate: Projected Average , 2013 .

[84]  W. Kinzelbach,et al.  Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods , 2010 .

[85]  Seong-Joon Kim,et al.  Assessment of MIROC3.2 HiRes Climate and CLUE-s Land Use Change Impacts on Watershed Hydrology Using SWAT , 2011 .

[86]  Max P. Bleiweiss,et al.  Alternative climate data sources for distributed hydrological modelling on a daily time step , 2011 .

[87]  W. Shuster,et al.  Impacts of impervious surface on watershed hydrology: A review , 2005 .

[88]  Hoshin Vijai Gupta,et al.  On the development of regionalization relationships for lumped watershed models: The impact of ignoring sub-basin scale variability , 2009 .

[89]  Keith C. Clarke,et al.  A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .

[90]  Indrajeet Chaubey,et al.  SENSITIVITY ANALYSIS, CALIBRATION, AND VALIDATIONS FOR A MULTISITE AND MULTIVARIABLE SWAT MODEL 1 , 2005 .