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Using detailed monitoring data to simulate spatial sediment loading in a watershed

  • Rajith MukundanEmail author
  • Donald C. Pierson
  • Elliot M. Schneiderman
  • Mark S. Zion
Article
  • 290 Downloads

Abstract

The use of watershed models as cost-effective tools to quantify the impact of conservation practices on water quality is often constrained by lack of data for model parameterization. This study uses short-term (3 years) detailed monitoring data to guide spatially distributed model parameterization and modeling analysis for suspended sediment in the Upper Esopus Creek Watershed (UECW) that is part of the New York City water supply. The calibrated Soil and Water Assessment Tool (SWAT) model simulated suspended sediment loading from tributary sub-basins and at the watershed outlet that were comparable to field measurements. Model simulations estimated that stream channels contributed the majority (85 %) of stream sediment in the study watershed followed by upland erosion (11 %) and point sources (4 %), consistent with previous estimates and field observations. Long-term (12 years) simulation of the calibrated model was used to apportion the average annual sediment yields from tributary sub-basins which ranged between 12 and 161 t km−2 year−1. Model simulations were also used to understand the inter-annual variability and seasonality in suspended sediment loading in the study watershed. We demonstrate the wider applicability of short-term detailed monitoring for model parameterization and calibration, and long-term simulation of water quality using the SWAT model.

Keywords

Suspended sediment SWAT model New York City water supply Stream channels 

Notes

Acknowledgments

An initial draft of this paper was reviewed by Dr. David G. Smith (City University of New York) and Mr. David G. Lounsbury (NYCDEP). The GIS support provided by DGL is also kindly acknowledged. Funding for this work was provided by the New York City Department of Environmental Protection. All authors have contributed to this manuscript and are aware of the content of the paper.

Compliance with ethical standards

The paper has not been submitted to any other journal or published previously. No data or texts have been manipulated to support our conclusions, and the manuscript is in compliance with ethical standards of publication.

Conflict of interest

The authors declare that they have no competing interests.

References

  1. Abbaspour, K. C. (2008). SWAT-CUP2: SWAT calibration and uncertainty programs—a user manual. Duebendorf: Department of Systems Analysis, Integrated Assessment and Modelling (SIAM), Eawag, Swiss Federal Institute of Aquatic Science and Technology. 95pp.Google Scholar
  2. Arabi, M., Govindaraju, R. S., Hantush, M. M., & Engel, B. A. (2006). Role of watershed subdivision on modeling the effectiveness of best management practices with SWAT. Journal of the American Water Resources Association, 42(2), 513–528.CrossRefGoogle Scholar
  3. Arnold, J. G., & Allen, P. M. (1999). Methods for estimating baseflow and groundwater recharge from streamflow. Journal of the American Water Resources Association, 35, 411–424.CrossRefGoogle Scholar
  4. Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., vanGriensven, A., Van Liew, M. W., Kannan, N., & Jha, M. K. (2012). SWAT: model use, calibration, and validation. Transactions of the ASABE, 55(4), 1494–1508.CrossRefGoogle Scholar
  5. Bagnold, R. A. (1977). Bedload transport in natural rivers. Water Resources Research 15, 13(2), 303–312.CrossRefGoogle Scholar
  6. Cotter, A. S., Chaubey, I., Costello, T. A., Soerens, T. S., & Nelson, M. A. (2003). Water quality model output uncertainty as affected by spatial resolution of input data. Journal of the American Water Resources Association, 39(4), 977–986.CrossRefGoogle Scholar
  7. DEP. (2008). Evaluation of turbidity reduction potential through watershed management in the Ashokan Basin. Valhalla, New York, July 2008.Google Scholar
  8. Effler, S. W., Perkins, M. G., Ohrazda, N., Brooks, C. M., Wagner, B. A., Johnson, D. L., Peng, F., & Bennett, A. (1998). Turbidity and particle signatures imparted by runoff events in Ashokan Reservoir, NY. Lake and Reservoir Management, 14, 254–265.CrossRefGoogle Scholar
  9. Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007). The soil and water assessment tool: historical development, applications, and future research directions. Transactions of the ASABE, 50(4), 1211–1250.CrossRefGoogle Scholar
  10. Gelda, R. K., Effler, S. W., Peng, F., Owens, E. M., & Pierson, D. C. (2009). Turbidity model for Ashokan Reservoir, New York: case study. Journal of Environmental Engineering, 135(9), 885–895.CrossRefGoogle Scholar
  11. Gellis, A. C., & Mukundan, R. (2013). Watershed sediment source identification: tools approaches and case studies. Journal of Soils and Sediments, 13, 1655–1657.CrossRefGoogle Scholar
  12. Jha, M., Gassman, P. W., & Arnold, J. G. (2007). Water quality modeling for the Raccoon River watershed using SWAT. Transactions of the ASABE, 50(2), 479–493.CrossRefGoogle Scholar
  13. Johnson, P. A. (2006). Assessing stream channel stability at bridges in physiographic regions. Publication No. FHWA-HRT-05-072, United States Department of Transportation. http://www.fhwa.dot.gov/engineering/hydraulics/pubs/05072/05072.pdf [accessed 12/30/2013].
  14. McHale, M. R., & Siemion, J. (2014) Turbidity and suspended sediment in the upper Esopus Creek watershed, Ulster County, New York: U.S. Geological Survey Scientific Investigations Report 2014–5200, 42 p., http://dx.doi.org/10.3133/sir20145200.
  15. Moriasi, D. N., Steiner, J. L., & Arnold, J. G. (2011). Sediment measurement and transport modeling: impact of riparian and filter strip buffers. Journal of Environmental Quality, 40(3), 807–814.CrossRefGoogle Scholar
  16. Mukundan, R., Radcliffe, D. E., & Ritchie, J. C. (2011). Channel stability and sediment source assessment in streams draining a Piedmont watershed in Georgia. USA Hydrolic Process, 25, 1243–1253.CrossRefGoogle Scholar
  17. Mukundan, R., Pierson, D. C., Wang, L., Matonse, A. H., Samal, N. R., Zion, M. S., & Schneiderman, E. M. (2013a). Effect of projected changes in winter streamflow on stream turbidity, Esopus Creek watershed in New York, USA. Hydrological Processes, 27, 3014–3023.CrossRefGoogle Scholar
  18. Mukundan, R., Pradhanang, S. M., Schneiderman, E. M., Pierson, D. C., Anandhi, A., Zion, M. S., Matonse, A. H., Lounsbury, D. G., & Steenhuis, T. S. (2013b). Suspended sediment source areas and future climate impact on soil erosion and sediment yield in a New York City water supply watershed, USA. Geomorphology, 183, 110–119.CrossRefGoogle Scholar
  19. Nagle, G. N., Fahey, T. J., Ritchie, J. C., & Woodbury, P. B. (2007). Variations in sediment sources and yields in the Finger Lakes and Catskills regions of New York. Hydrological Processes, 21, 828–838.CrossRefGoogle Scholar
  20. Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models—part I: a discussion of principles. Journal of Hydrology, 10, 282–290.CrossRefGoogle Scholar
  21. Neitsch, S. L., Arnold J. G., Kiniry, J. R., & Williams, J. R. (2009). Soil and water assessment tool: theoretical documentation—version 2009. Grassland, Soil and Water Research Laboratory, Agricultural Research Service. August 2009, 618 pp.Google Scholar
  22. Santhi, C., Arnold, J. G., Williams, J. R., Dugas, W. A., & Hauck, L. (2001). Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association, 37(5), 1169–1188.CrossRefGoogle Scholar
  23. Simon, A., & Klimetz, L. (2008). Relative magnitudes and sources of sediment in benchmark watersheds of the conservation effects assessment project. Journal of Soil and Water Conservation, 63, 504–522.CrossRefGoogle Scholar
  24. USEPA. (2009). National water quality inventory report to congress. http://www.epa.gov/305b/, accessed September 23, 2010.
  25. White, M. J., Harmel, R. D., Arnold, J. G., & Williams, J. R. (2012). SWAT Check: a screening tool to assist users in the identification of potential model application problems. Journal of Environmental Quality (in press). Available at: http://swatmodel.tamu.edu/software/swat-check.
  26. Williams, J. R. (1975). Sediment routing for agricultural watersheds. Water Resources Bulletin, 11, 965–974.CrossRefGoogle Scholar
  27. Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses—a guide to conservation planning. U.S. Department of Agriculture, Agricultural Handbook No. 537.Google Scholar
  28. Wynn, T., & Mostaghimi, S. (2006). The effects of vegetation and soil type on streambank erosion, Southwestern Virginia, USA. Journal of the American Water Resources Association, 42(1), 69–82.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rajith Mukundan
    • 1
    Email author
  • Donald C. Pierson
    • 2
  • Elliot M. Schneiderman
    • 2
  • Mark S. Zion
    • 2
  1. 1.School of GeosciencesUniversity of Louisiana at LafayetteLafayetteUSA
  2. 2.Bureau of Water SupplyNew York City Department of Environmental ProtectionKingstonUSA

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