Assessing sensitivity of hydrologic responses to climate change from forested watershed in Mississippi

The climatic processes such as changes in precipitation, temperature and atmospheric CO2 concentration can intensify the effects on water resources. An assessment of the effects of long-term climate change on water resources is essential to the development of water quality improvement programs. This study was conducted in the Upper Pearl River Watershed (UPRW) in east-central Mississippi to assess the effects of long-term potential future climate change on average mean monthly stream flow from the five spatially distributed U. S. Geological Survey (USGS) gage stations in the UPRW using the Soil and Water Assessment Tool. The model was calibrated (January 1981 to December 1994) and validated (January 1995 to September 2008) using monthly measured stream flow data. The calibrated and validated model determined good to very good performance for stream flow prediction (R2 and E from 0·60 to 0·86) between measured and predicted stream flow values. The root mean square error values (from 14 to 37 m3 s−1) were estimated at similar levels of errors during model calibration and validation. The results showed that long-term (50 years) average monthly stream flow sensitivity due to climate change effects was found the greatest as a result of percentage change in the precipitation followed by carbon dioxide (CO2) concentration and temperature. The long-term model simulation scenarios as compared with the base scenario for all five spatially distributed USGS gage stations in the UPRW estimated an average monthly stream flow decrease (from 54 to 67%) and average monthly stream flow increase (from 67 to 79%) depending on the spatial characteristics of the USGS gage stations. Overall, the results indicate that the UPRW hydrology is very sensitive to potential future climate changes and that these changes could stimulate increased streamflow generation from the watershed. Copyright © 2010 John Wiley & Sons, Ltd.

[1]  Sabine Grunwald,et al.  GIS-BASED HYDROLOGIC MODELING IN THE SANDUSKY WATERSHED USING SWAT , 2005 .

[2]  Kyle R. Mankin,et al.  Comparison of AnnAGNPS and SWAT model simulation results in USDA‐CEAP agricultural watersheds in south‐central Kansas , 2009 .

[3]  P. Reich,et al.  Predicting the effects of climate change on water yield and forest production in the northeastern United States , 1995 .

[4]  A. van Griensven,et al.  Autocalibration in hydrologic modeling: Using SWAT2005 in small-scale watersheds , 2008, Environ. Model. Softw..

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

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

[7]  Assefa M. Melesse,et al.  Influences of Potential Evapotranspiration Estimation Methods on SWAT's Hydrologic Simulation in a Northwestern Minnesota Watershed , 2006 .

[8]  K. Eckhardt,et al.  Potential impacts of climate change on groundwater recharge and streamflow in a central European low mountain range , 2003 .

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

[10]  A. Shirmohammadi,et al.  EVALUATION OF THE SWAT MODEL’S HYDROLOGY COMPONENT IN THE PIEDMONT PHYSIOGRAPHIC REGION OF MARYLAND , 2004 .

[11]  Richard N. Palmer,et al.  Water Resources Implications of Global Warming: A U.S. Regional Perspective , 1999 .

[12]  James L. Martin,et al.  Impacts of Land Use Characterization in Modeling Hydrology and Sediments for the Luxapallila Creek Watershed, Alabama and Mississippi , 2008 .

[13]  V. Chaplot.  Water and soil resources response to rising levels of atmospheric CO2 concentration and to changes in precipitation and air temperature , 2007 .

[14]  Raghavan Srinivasan,et al.  Return‐flow assessment for irrigation command in the Palleru river basin using SWAT model , 2005 .

[15]  E. Kalnay,et al.  Impact of urbanization and land-use change on climate , 2003, Nature.

[16]  A. Saleh,et al.  EVALUATION OF SWAT AND HSPF WITHIN BASINS PROGRAM FOR THE UPPER NORTH BOSQUE RIVER WATERSHED IN CENTRAL TEXAS , 2004 .

[17]  P. Parajuli.  SWAT BACTERIA SUB-MODEL EVALUATION AND APPLICATION , 2007 .

[18]  F. Mutua,et al.  Climate change impact on SWAT simulated streamflow in western Kenya , 2009 .

[19]  Kyoung Jae Lim,et al.  AUTOMATED WEB GIS BASED HYDROGRAPH ANALYSIS TOOL, WHAT 1 , 2005 .

[20]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[21]  R. Hotchkiss,et al.  IMPACTS OF CLIMATE CHANGE ON WATER YIELD IN THE UPPER WIND RIVER BASIN 1 , 2000 .

[22]  K. Eckhardt.  How to construct recursive digital filters for baseflow separation , 2005 .

[23]  Kyle R Mankin,et al.  Source specific fecal bacteria modeling using soil and water assessment tool model. , 2009, Bioresource technology.

[24]  Maria Mimikou,et al.  Quantity and Quality Integrated Catchment Modeling under Climate Change with use of Soil and Water Assessment Tool Model , 2002 .

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

[26]  D. Legates,et al.  Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation , 1999 .

[27]  R. Hotchkiss,et al.  Hydrological response to climate change in the Black Hills of South Dakota, USA , 2001 .

[28]  Heinz G. Stefan,et al.  Simulating Climate Change Effects in a Minnesota Agricultural Watershed , 1998 .

[29]  Raghavan Srinivasan,et al.  INTEGRATION OF A BASIN‐SCALE WATER QUALITY MODEL WITH GIS , 1994 .

[30]  K. Abbaspour,et al.  Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model , 2008 .

[31]  Walter J. Rawls,et al.  Predicting runoff from Rangeland Catchments: A comparison of two models , 1990 .

[32]  Cort J. Willmott,et al.  On the Evaluation of Model Performance in Physical Geography , 1984 .

[33]  Jeffrey G. Arnold,et al.  HYDROLOGIC SIMULATION ON AGRICULTURAL WATERSHEDS: CHOOSING BETWEEN TWO MODELS , 2003 .

[34]  Raghavan Srinivasan,et al.  Possible Impacts of Global Warming on the Hydrology of the Ogallala Aquifer Region , 1999 .

[35]  J. Arnold,et al.  VALIDATION OF THE SWAT MODEL ON A LARGE RWER BASIN WITH POINT AND NONPOINT SOURCES 1 , 2001 .

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

[37]  J. Eilers,et al.  WATER QUALITY MODELING OF ALTERNATIVE AGRICULTURAL SCENARIOS IN THE U.S. CORN BELT 1 , 2002 .

[38]  David D. Bosch,et al.  Effect of spatial distribution of rainfall on temporal and spatial uncertainty of SWAT output. , 2009 .