Abstract
Anthropogenic forces that alter the physical landscape are known to cause significant soil erosion, which has negative impact on surface water bodies, such as rivers, lakes/reservoirs, and coastal zones, and thus sediment control has become one of the central aspects of catchment management planning. The revised universal soil loss equation empirical model, erosion pins, and isotopic sediment core analyses were used to evaluate watershed erosion, stream bank erosion, and reservoir sediment accumulation rates for Ni Reservoir, in central Virginia. Land-use and land cover seems to be dominant control in watershed soil erosion, with barren land and human-disturbed areas contributing the most sediment, and forest and herbaceous areas contributing the least. Results show a 7 % increase in human development from 2001 (14 %) to 2009 (21.6 %), corresponding to an increase in soil loss of 0.82 Mg ha-1 year-1 in the same time period. 210Pb-based sediment accumulation rates at three locations in Ni Reservoir were 1.020, 0.364, and 0.543 g cm-2 year-1 respectively, indicating that sediment accumulation and distribution in the reservoir is influenced by reservoir configuration and significant contributions from bedload. All three locations indicate an increase in modern sediment accumulation rates. Erosion pin results show variability in stream bank erosion with values ranging from 4.7 to 11.3 cm year-1. These results indicate that urban growth and the decline in vegetative cover has increased sediment fluxes from the watershed and poses a significant threat to the long-term sustainability of the Ni Reservoir as urbanization continues to increase.
Similar content being viewed by others
Abbreviations
- RUSLE:
-
Revised universal soil loss equation
- LULC:
-
Land use/land cover
- SDR:
-
Sediment delivery ratio
- CRS:
-
Constant rate supply
References
Angima, S. D., Stott, D. E., O'Neill, M. K., Ong, C. K., & Weesies, G. A. (2003). Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agriculture, Ecosystems and Environment, 97, 295–308.
Appleby, P. G. (2001). Chronostratigraphic techniques in recent sediments. In W. M. Last & J. P. Smol (Eds.), Tracking environmental change using lake sediments (Vol. 1, pp. 171–203). Netherlands: Springer, E-Publishing.
Appleby, P. G. (2008). Three decades of dating recent sediments by fallout radionuclides: a review. The Holocene, 18, 83–93.
Appleby, P. G., & Oldfield, F. (1978). The calculation of lead-210 dates assuming a constant rate of supply of unsupported Pb-210 to the sediment. Catena, 5, 1–8.
Begueria, S., Lopez-Moreno, J. I., Gomez-Villar, A., Rubio, V., Lana-Renault, N., & Garcia-Ruiz, J. M. (2006). Fluvial adjustments to soil erosion and plant cover changes in the Central Spanish Pyrenees. Geografiska Annaler: Series A, Physical Geography, 88(3), 177–186.
Beskow, S., Mello, C. R., Norton, L. D., Curi, N., Viola, M. R., & Avanzi, J. C. (2009). Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling. Catena, 79, 49–59.
Boomer, K. B., Weller, D. E., & Jordan, T. E. (2008). Empirical models based on the universal soil loss equation fail to predict sediment discharges from Chesapeake Bay Catchments. Journal of Environmental Quality, 37, 79–89.
Bratton, J. F., Colman, S. M., & Seal, R. R., II. (2003). Eutrophication and carbon sources in Chesapeake Bay over the last 2700 yr: human impacts in context. Geochimica et Cosmochimica Acta, 67, 3385–3402.
Census Bureau, U. S. (2009). State & county quickfacts. Washington, DC: United States Census Bureau, United States Department of Commerce.
Clark, E., & Odhiambo, B. K. (2012). Comparative analysis of watershed erosion, reservoir sedimentation and trace metals in two Virginia lakes. Geological Society of America Abstracts with Programs, 44(7), 251.
Costa, J. E. (1975). Effects of agriculture on erosion and sedimentation in the Piedmont Province, Maryland. Geological Society of America Bulletin, 86, 1281–1286.
Couper, P., Scott, T., & Maddock, I. (2002). Insights into river bank erosion processes derived from analysis of negative erosion-pin recordings: observations from three recent UK studies. Earth Surface Processes and Landforms, 27, 59–79.
Curran, J. (2005). Baseline channel morphology and bank erosion inventory of South Fork Campbell Creek at Campbell Tract, Anchorage, Alaska, 1999 and 2000 (U.S. Geological Survey Open-File Report 01–288).
Dabral, P. P., Baithuri, N., & Pandley, A. (2008). Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resources Management, 22, 1783–1798.
Douglas, I. (1996). The impact of land-use changes, especially logging, shifting cultivation, mining and urbanization on sediment yields in humid tropical Southeast Asia: a review with special reference to Borneo. Erosion and Sediment Yield: Global and Regional Perspectives, 236, 463–471.
Eakins, J. D., & Morrison, R. T. (1978). A new procedure for the determination of lead-210 in lake and marine sediments. International Journal of Applied Radiation and Isotopes, 29, 531–536.
Free Lance-Star. (1976). Dedication set Sunday for Ni River reservoir. Fredericksburg, Virginia: Free Lance-Star, 92(112), 11 May 1976.
Fu, B. J., Zhao, W. W., Chen, L. D., Zhang, Q. J., Lu, Y. H., Gulink, H., et al. (2005). Assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China. Land Degradation & Development, 16, 73–85.
Hupp, C. R., Schenk, E. R., Richter, J. M., Peet, R. K., & Townsend, P. A. (2009). Bank erosion along the dam-regulated lower Roanoke River, North Carolina. Geological Society of America, Special Paper, 451, 97–108.
Jones, D.S., Kowalski, D.G., & Shaw, R.B. (1996). Calculating revised universal soil loss equation (RUSLE) estimates on department of defenses lands: A review of RUSLE factors and U.S. Army land condition-trend analysis (LCTA) data gaps (CEMML Publications, TPS-96–8).
Julian, J. P., & Torres, R. (2006). Hydraulic erosion of cohesive riverbanks. Geomorphology, 76, 193–206.
Kandrika, S., & Venkataratnam, L. (2005). A spatially distributed event-based model to predict sediment yield. Journal of Spatial Hydrology, 5, 1–19.
Knebel, H. J., Martin, E. A., Glenn, J. L., & Needell, S. W. (1981). Sedimentary framework of the Potomac River estuary, Maryland. Geological Society of America Bulletin, 92, 578–589.
Langland, M., & Cronin, T. (2003). A summary report of sediment processes in Chesapeake Bay and watershed (Watershed Resources Investigations Report 03–4123).
Lufafa, A., Tenya, M. M., Isabirye, M., Majaliwa, M. J. G., & Woomer, P. L. (2002). Prediction of soil erosion in a Lake Victoria basin catchment using GIS-based universal soil loss model. Agricultural Systems, 76, 883–894.
Martin, A., Gunter, J. T., & Regens, J. L. (2003). Estimating erosion in a riverine watershed; Bayou Liberty-Tchefuncta River in Louisiana. Environmental Science and Pollution Research, 10, 245–250.
Matsumoto, E., & Wong, C. S. (1977). Heavy metal sedimentation in Sannich Inlet measured with 210Pb technique. Journal of Geophysical Research, 82, 5477–5482.
Matua, B. M., & Klik, A. (2005). Development of a physically based model for estimation of spatial sediment delivery ratio for large remote catchments. Journal of Spatial Hydrology, 5, 45–59.
Nguyen, M.H. (2009). Spatial modeling for soil erosion in Chay Basin, in Vietnam. TS 2B–SIM Tools for Environmental Monitoring and Protection (3683), 1–12.
Nriagu, J. O., Kemp, A. L. W., Wong, H. K. T., & Harper, N. (1979). Sedimentary record of heavy metal pollution in Lake Erie. Geochimica et Cosmochimica Acta, 43, 247–258.
Odhiambo, B. K. (2007). Sediment chronology to aid in historical analyzers of PCB influx in Lake Anna sediments: Spotsylvania and Orange Counties, Virginia. Norfolk: US Army Corps of Engineers.
Odhiambo, B. K., & Boss, S. K. (2004). Integrated eco sounder, GPS, and GIS for reservoir sedimentation studies: examples from two Arkansas lakes. Journal of the American Water Resources Association, 40, 981–997.
Odhiambo, B. K., & Boss, S. K. (2006). Watershed physiography, land use, and sediment yield: a case study from Northwest Arkansas, USA. Journal of Spatial Hydrology, 6, 29–51.
Odhiambo, B. K., & Ricker, M. C. (2012). Spatial and isotopic analysis of watershed soil loss and reservoir sediment accumulation rates in Lake Anna, Virginia, USA. Environmental Earth Sciences, 65, 373–384.
Odhiambo, B. K., Macdonald, R. W., O'Brien, M. C., Harper, J. R., & Yunker, M. B. (1996). Transport and fate of mine tailings in a coastal fjord of British Colombia as inferred from sediment record. Science of the Total Environment, 191, 77–94.
Oldeman, L.R., Hakkeling, R.T.A., & Sombroek, W.G. (1990). World map of the status of human-induced soil degradation, an explanatory note (pp. 1–35). International soil reference and information center, Wageningen, The Netherlands and the United Nations Environmental Program, Nairobi, Kenya.
Onyando, J. G., Kisoyan, P., & Chemlil, M. C. (2005). Estimation of potential soil erosion for river Perkena catchment in Kenya. Water Resources Management, 19, 133–143.
Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the revised universal soil loss equation (RUSLE). Agriculture Handbook No. 703. Washington, DC: United States Department of Agriculture.
Renfro, G.W. (1975). Use of erosion equations and sediment delivery ratios for predicting sediment yield. Present and prospective technology for predicting sediment yields and sources (Agricultural Resources Services, ARS-S-40, pp. 33–45).
Restrepo, J. D., & Syvitski, J. P. M. (2006). Assessing the effect of natural controls and land use change on sediment yield in a major Andean river: the Magdalena Drainage Basin, Colombia. Ambio, 35, 65–74.
Ricker, M. C., Odhiambo, B. K., & Church, J. M. (2008). Spatial analysis of soil erosion and sediment fluxes: a paired watershed study of two Rappahannock River tributaries, Stafford County, Virginia. Environmental Management, 41, 766–788.
Sert, I., Yener, G., Ozel, E., Pekcetinoz, B., Eftelioglu, M., & Gorgun, A. U. (2012). Estimation of sediment accumulation rates using naturally occurring 210Pb models in Gülbahçe Bay, Aegean Sea, Turkey. Journal of Environmental Radioactivity, 107, 1–12.
US National Atlas. (2005). Precipitation of the individual states and of the conterminous states. United States National Atlas. Washington, DC: Department of the Interior.
USCB. (2012). United States Census Bureau. http://www.Ceasus.gov. Accessed December 2012.
USDA. (2004). About the mattaponi watershed. Conservation stewardship program. Washington, DC: United States Department of Agriculture.
USDA. (2008). Soil survey geographic (SSURGO) database. Washington, DC: United States Department of Agriculture Natural Resources Conservation Service.
USEPA. (2009). Impaired waters with TMDLs 303(d) list. Washington, DC: Office of Water, United Sates Environmental Protection Agency.
USGS. (2003). Mineral resources on-line spatial data: Virginia geologic map data. Washington, DC: United States Geological Survey.
VADGIF. (2003). Ni Reservoir. Virginia Department of Game and Inland Fisheries.
Walling, D.E. (2004). Using environmental radionuclides to trace sediment mobilization and delivery in river basins as an aid to catchment management. Proceedings of the Ninth International Symposium on River Sedimentation, 18–21 Oct. 2004, pp. 121–135.
Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses: A guide to conservation planning. Agriculture Handbook No. 537. Washington, DC: United States Department of Agriculture.
Wolman, M. G. (1959). Factors influencing erosion of a cohesive river bank. American Journal of Science, 257, 204–216.
Yoder, D. C., Foster, G. R., Weesies, K. G., Renard, K. G., McCool, D. K., & Lown, J. B. (2004). Evaluation of the RUSLE soil erosion model. In J. E. Parsons et al. (Eds.), Agricultural non-point source water quality models: their use and application. Southern Cooperative Series Bulletin No. 398, 107–116.
Acknowledgments
The authors would like to thank the University of Mary Washington for funding the Ni Reservoir research. We thank Dr. Brian Rizzo for his contribution in the development of the grid-sampling technique, Lisa Cousineau for her assistance in field sampling and to all reviewers whose suggestions enhanced this work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pope, I.C., Odhiambo, B.K. Soil erosion and sediment fluxes analysis: a watershed study of the Ni Reservoir, Spotsylvania County, VA, USA. Environ Monit Assess 186, 1719–1733 (2014). https://doi.org/10.1007/s10661-013-3488-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10661-013-3488-5