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Evaluation of the Best Management Practices at the Watershed Scale to Attenuate Peak Streamflow Under Climate Change Scenarios

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Abstract

The objectives of this study are (1) to develop a calibrated and validated model for streamflow using the Soil and Water Assessment Tool (SWAT) for the Lower Pearl River Watershed (LPRW) located in southern Mississippi, and (2) to assess the performance of parallel terraces, grassed waterways, and detention pond BMPs at attenuating peakflows at the watershed-scale under changes in precipitation, temperature, and CO2 concentrations. The model was calibrated and validated for streamflow at 4 USGS gauge stations at the daily scale from 1994 to 2003 using the Sequential Uncertainty Fitting (SUFI-2) optimization algorithm in SWAT-CUP. The model demonstrated good to very good performance (R2 = 0.49 to 0.90 and NSE = 0.49 to 0.84) between the observed and simulated daily streamflows at all 4 USGS gauge stations. This study found that grassed waterways had the highest peak flow reduction (−8.4 %), followed by detention ponds (−6.0 %), and then parallel terraces (−3.1 %) during the baseline climate scenario. Combining the different BMPs yielded greater reduction in average peak flow compared to implementing each BMP individually in both the current and changing climate scenarios. This study also found that the effectiveness of BMPs to reduce peakflows decreases significantly when increased rainfall or increased CO2 concentrations are introduced in the watershed model. When increasing temperatures or decreasing rainfall is incorporated in the model, the peakflow reductions caused by BMPs generally does not change significantly.

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References

  • Abbaspour KC (2012) User manual for SWAT-CUP: SWAT calibration and uncertainty analysis programs. Neprash Technology. http://www.neprashtechnology.ca/Downloads.aspx. Accessed 30 October 2013

  • Abbaspour KC, Johnson CA, van Genuchten MT (2004) Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone J 3:1340–1352

    Article  Google Scholar 

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333:413–430

    Article  Google Scholar 

  • Amatya DM, Jha MK (2011) Evaluating the SWAT model for a sow-gradient forested watershed in coastal South Carolina. Trans ASABE 54(6):2151–2163

    Article  Google Scholar 

  • Arabi M, Govindaraju RS, Hantush MM, Engel BA (2006) Role of watershed subdivision on modeling the effectiveness of best management practices with SWAT. J Am Water Resour Assoc 42(2):513–528

    Article  Google Scholar 

  • Arabi M, Frankenberger JR, Engel BA, Arnold JG (2008) Representation of agricultural conservation practices with SWAT. Hydrol Process 22(16):3042–3055

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large-area hydrologic modeling and assessment: part 1. Model development. J Am Water Resour Assoc 34(1):73–89

    Article  Google Scholar 

  • ASABE (2012) Design, layout, construction and maintenance of terrace systems. American Society of Agricultural and Biological Engineers (ASABE). ASABE Standards S268.5 JAN2012. St Joseph, MI

  • Bracmort KS, Arabi M, Frankenberger JR, Engel BA, Arnold JG (2006) Modeling long-term water quality impact of structural BMPs. Trans ASABE 49(2):367–374

    Article  Google Scholar 

  • Chaplot V (2007) Water and soil resources response to rising levels of atmospheric CO2 concentration and to changes in precipitation and air temperature. J Hydrol 337(1–2):159–171

    Article  Google Scholar 

  • Dermisis D, Abaci O, Papanicolaou AN, Wilson CG (2010) Evaluating grassed waterway efficiency in southeastern Iowa using WEPP. Soil Use Manag 26:183–192

    Article  Google Scholar 

  • Douglas-Mankin KR, Srinvasan R, Arnold JG (2010) Soil and Water Assessment Tool (SWAT) model: current developments and applications. Trans ASABE 53(5):1423–1431

    Article  Google Scholar 

  • Ficklin DL, Luo Y, Luedeling E, Zhang M (2009) Climate change sensitivity assessment of a highly agricultural watershed using SWAT. J Hydrol 374:16–29

    Article  Google Scholar 

  • Frich P, Alexander LV, Della-Marta P, Gleason B, Haylock M, Klein Tank AMG, Peterson T (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19(3):193–212

    Article  Google Scholar 

  • Gassman PW, Reyes MR, Green CH, Arnold JG (2007) The soil and water assessment tool: historical development, applications, and future research directions. Trans ASABE 50(4):1211–1250

    Article  Google Scholar 

  • Godfray HCF, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, Pretty J, Robinson S, Thomas SM, Toulmin C (2010) Food security: the challenge of feeding 9 billion people. Science 327(5967):812–818

    Article  Google Scholar 

  • IPCC (2013) Climate Change 2013: The Physical Science Basis. Contribution of working group I to the fifth assessment report of the International Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. https://www.ipcc.ch/report/ar5/wg1/

  • Jeong J, Kannan N, Arnold JG, Glick R, Gosselink L, Srinivasan R (2010) Development and integration of subhourly rainfall-runoff modeling capability within a watershed model. Water Resour Manag 24(15):4505–4527

    Article  Google Scholar 

  • Jha M, Arnold JG, Gassman PW, Giorgi R, Gu RR (2006) Climate change sensitivity on upper Mississippi River Basin streamflows using SWAT. J Am Water Resour Assoc 42(4):997–1016

    Article  Google Scholar 

  • Joh HK, Lee JW, Park MJ, Shin HJ, Yi JE, Kim GS, Srinivasan R, Kim SJ (2011) Assessing climate change impact on hydrological components of a small forest watershed through SWAT Calibration of evapotranspiration and soil moisture. Trans ASABE 54(5):1773–1781

    Article  Google Scholar 

  • Kaini P, Artita K, Nicklow JW (2012) Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals. Water Resour Manag 26(7):1827–1845

    Article  Google Scholar 

  • Kalantari Z, Lyon SW, Folkeson L, French HK, Stolte J, Jansson P, Sassner M (2014) Quantifying the hydrological impact of simulated changes in land use on peak discharge in a small catchment. Sci Total Environ 466–467:741–754

    Article  Google Scholar 

  • Khanal S, Parajuli PB (2013) Evaluating the impacts of forest clear cutting on water and sediment yields using SWAT in Mississippi. J Water Resour Prot 5(4):474–483

    Article  Google Scholar 

  • Kim H, Parajuli PB (2014) Impacts of reservoir outflow estimation methods in SWAT model calibration. Trans ASABE 57(4):1029–1042

    Google Scholar 

  • Liew MWV, Feng S, Pathak TB (2012) Climate change impacts on streamflow, water quality, and best management practices for the Shell and Logan Creek Watersheds in Nebraska, USA. Int J Agric Biol Eng 5(1):13–24

    Google Scholar 

  • McMichael AJ, Woodruff RE, Hales S (2006) Climate change and human health: present and future risks. Lancet 367(9513):859–869

    Article  Google Scholar 

  • MDEQ (2000) Pearl River basin status report. Mississippi Department of Environmental Quality, Jackson, http://www.deq.state.ms.us/mdeq.nsf/pdf/WMB_prstatusreport/$File/prstatusreport.pdf?OpenElement . Accessed 16 June 2012

  • MDEQ (2012) Total maximum daily load program. Office of Pollution Control, Jackson, http://www.deq.state.ms.us/MDEQ.nsf/page/TWB_pearlstatrep?OpenDocument . Accessed 8 July 2012

  • MDEQ (2014) Mississippi water resources data compendium. MDEQ Basin Management Branch, Jackson, http://www.deq.state.ms.us/mdeq.nsf/page/WMB_MississippiWaterResourcesDataCompendium . Accessed 18 February 2014

  • Moriasi DN, Arnold JG, Van Liew MW, Binger RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50(3):885–900

    Article  Google Scholar 

  • Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2011) Soil and water assessment tool, theoretical documentation. USDA-ARS, Temple, http://swatmodel.tamu.edu/documentation . Accessed 27 July 2012

  • Niraula R, Norman LM, Meixner T, Callegary JB (2012) Multi-gauge calibration for modeling the semi-arid Santa Cruz Watershed in Arizona-Mexico border area using SWAT. Air Soil Water Res 2012(5):41–57

    Article  Google Scholar 

  • Parajuli PB (2010) Assessing sensitivity of hydrologic responses to climate change from forested watershed in Mississippi. Hydrol Process 24(26):3785–3797

    Article  Google Scholar 

  • Parajuli PB, Nathan ON, Lyle DF, Kyle RM (2009) Comparison of AnnAGNPS and SWAT model simulation results in USDA-CEAP agricultural watersheds in south-central Kansas. Hydrol Process 23(5):748–763

    Article  Google Scholar 

  • Stonefelt MD, Fontaine TA, Hotchkiss RH (2000) Impacts of climate change on water yield in the upper wind river basin. J Am Water Resour Assoc 36(2):321–336

    Article  Google Scholar 

  • Tebaldi C, Hayhoe K, Arblaster JM, Meehl GA (2006) Going to the extremes: an intercomparison of model-simulated historical and future changes in extreme events. Clim Chang 79(3–4):185–211

    Article  Google Scholar 

  • Tuppad P, Douglas-Mankin KR, Lee T, Srinivasan R, Arnold JG (2011) Soil and water assessment tool (SWAT) hydrologic/water quality model: extended capability and wider adoption. Trans ASABE 54(5):1677–1684

    Article  Google Scholar 

  • USDA (2005) Soil data mart. United State Department of Agriculture. Natural Resources Conservation Service (NRCS). http://soildatamart.nrcs.usda.gov/Default.aspx. Accessed 2 August 2012

  • USDA-NASS (2011) Cropland data layer. United State Department of Agriculture – National Agricultural Statistics Service. http://www.nass.usda.gov/research/Cropland/SARS1a.htm. Accessed 2 August 2012

  • USGS (1999) National elevation dataset. United States Geological Survey. http://seamless.usgs.gov/website/seamless/viewer.htm. Accessed 2 August 2012

  • Villarreal EL, Semadeni-Davies A, Bengtsson ASL (2004) Inner city stormwater control using a combination of best management practices. Ecol Eng 22(4–5):279–298

    Article  Google Scholar 

  • Vorosmarty JC, Green P, Salisbury J, Lammers RB (2000) Global water resources: vulnerability from climate change and population growth. Science 289(5477):284–288

    Article  Google Scholar 

  • Walther G, Post E, Convey P, Menzel A, Parmesan C, Beebee TJC, Fromentin J, Hoegh-Guldberg O, Bairlein F (2002) Ecological responses to recent climate change. Nature 416(6879):389–395

    Article  Google Scholar 

  • Wigley TML, Jones PD (1985) Influences of precipitation changes and direct CO2 effects on streamflow. Nature 314:149–152

    Article  Google Scholar 

  • Wild BT, Davis AP (2009) Simulation of the performance of a storm-water BMP. J Environ Eng 135(12):1257–1267

    Article  Google Scholar 

  • Woznicki SA, Nejadhashemi AP, Smith CM (2011) Assessing best management practice implementation strategies under climate change scenarios. Trans ASABE 54(1):171–190

    Article  Google Scholar 

  • Wu Y, Liu S, Abdul-Aziz OI (2012) Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT. Clim Chang 110(3–4):977–1003

    Article  Google Scholar 

  • Wu G, Li L, Ahmad S, Chen X, Pan X (2013) A dynamic model for vulnerability assessment of regional water resources in arid areas: a case study of Bayingolin, China. Water Resour Manag 27(8):3085–3101

    Article  Google Scholar 

  • Yang Q, Meng F, Zhao Z, Chow TL, Benoy G, Rees HW, Bourque CPA (2009) Assessing the impacts of flow diversion terraces on stream water and sediment yields at a watershed level using SWAT model. Agric Ecosyst Environ 132(1–2):23–31

    Article  Google Scholar 

Download references

Acknowledgments

We would like to acknowledge the contributions of Donetta McCullum at Mississippi Department of Environmental Quality and Greg Burgess at the Pearl River Valley Water Supply District.

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Authors and Affiliations

  1. Department of Agricultural and Biological Engineering, Mississippi State University, 130 Creelman St., Mississippi State, MS, 39762, USA

    Abdullah O. Dakhlalla & Prem B. Parajuli

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  1. Abdullah O. Dakhlalla
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  2. Prem B. Parajuli
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Correspondence to Abdullah O. Dakhlalla.

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Dakhlalla, A.O., Parajuli, P.B. Evaluation of the Best Management Practices at the Watershed Scale to Attenuate Peak Streamflow Under Climate Change Scenarios. Water Resour Manage 30, 963–982 (2016). https://doi.org/10.1007/s11269-015-1202-9

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  • DOI: https://doi.org/10.1007/s11269-015-1202-9

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