Skip to main content

Runoff and Soil Loss Estimation Using N-SPECT in the Rio Grande de Anasco Watershed, Puerto Rico

  • Chapter
  • First Online:
Landscape Dynamics, Soils and Hydrological Processes in Varied Climates

Part of the book series: Springer Geography ((SPRINGERGEOGR))

  • 4904 Accesses

Abstract

Over the last decades , the Rio Grande de Añasco watershed in the western part of Puerto Rico (PR) has been experiencing changes in land use due to conversion of agricultural lands into suburban use. The conversion contributed to sediment movements and pollutant loads to rivers and other water bodies. Agricultural practices contributed to nutrients to rivers via surface runoff and erosion. According to the US Environmental Protection Agency (EPA), concentrations of sediments from the uplands of the watershed are the main non-point sources of runoff entering the Mayagüez Bay, PR. The Non-point Source Pollution and Erosion Comparison Tool (N-SPECT) was used to study the relationships between land cover, soil characteristics, topography, and precipitation to assess spatial patterns of surface water runoff, non-point source pollution, and erosion. This paper uses N-SPECT to calculate runoff and erosion in the Rio Grande de Añasco watershed. Results show the most permeable soils are located in the northwest side of the Rio Grande de Añasco; while the highest probability of soil loss is in areas located in the west side of the watershed. The event-based runoff depth patterns coincide with the precipitation spatial patterns where the south part of the watershed, which lies in the Maricao Municipality, is expected to have major runoff events.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Beskow S, Mello CR, Norton LD, Curi N, Viola MR, Avanzi JC (2009) Soil erosion prediction in the Grande River basin, Brazil using distributed modeling. CATENA 79:49–59

    Article  Google Scholar 

  • Defersha MB, Melesse AM (2011) Field-scale investigation of the effect of land use on sediment yield and surface runoff using runoff plot data and models in the Mara River basin, Kenya. CATENA 89:54–64

    Article  Google Scholar 

  • Defersha MB, Melesse AM (2012) Effect of rainfall intensity, slope and antecedent moisture content on sediment concentration and sediment enrichment ratio. CATENA 90:47–52

    Article  Google Scholar 

  • Defersha MB, Quraishi S, Melesse AM (2011) Interrill erosion, runoff and sediment size distribution as affected by slope steepness and antecedent moisture content. Hydrol Proc 7(4):6447–6489

    Google Scholar 

  • Defersha MB, Melesse AM, McClain M (2012) Watershed scale application of WEPP and EROSION 3D models for assessment of potential sediment source areas and runoff flux in the Mara River basin, Kenya. CATENA 95:63–72

    Article  Google Scholar 

  • Dunne T, Leopold LB (1978) Water in environmental planning. W.H. Freeman and Company, New York

    Google Scholar 

  • Eslinger DL, Jamieson Carter H, Dempsey Ed, VanderWilt M, Wilson B, Meredith A (2005) The nonpoint-source pollution and erosion comparison tool. NOAA Coastal Services Center, Charleston, SC. http://csc.noaa.gov/nspect/. Accessed 11 Feb 2010

  • Junta de Calidad Ambiental (JCA) (1990) Estándares de Calidad de Agua de Puerto Rico. Estado Libre Asociado de Puerto Rico, Hato Rey, PR. http://www2.pr.gov/agencias/jca/Documents/Leyes%20y%20Reglamentos/Reglamentos/Reglamentos/Reglamento%20Est%C3%A1dares%20Calidad%20de%20Agua%202010.pdf. Accessed 15 Jan 2010

  • Junta de Calidad Ambiental (JCA) (2003) Informe sobre el Estado y Condición del Ambiente en Puerto Rico (2003). Capitulo 2. http://www2.pr.gov/agencias/jca/Documents/Publ icaciones%20de%20Inter%C3%A9s/Informes%20Ambientales/Informe%20Ambiental%202002/Primeras%20P%C3%A1ginas.pdf. Accessed 2 Feb 2010

  • Kinnell PIA (2001) Slope length factor for applying the USLE-M to erosion grid cells. Soil Tillage Res 58:11–17

    Google Scholar 

  • Maalim FK, Melesse AM (2013) Modeling the impacts of subsurface drainage systems on runoff and sediment yield in the Le Sueur watershed, Minnesota. Hydrol Sci J 58(3):1–17

    Article  Google Scholar 

  • Maalim FK, Melesse AM, Belmont P, Gran K (2013) Modeling the impact of land use changes on runoff and sediment yield in the Le Sueur watershed, Minnesota using GeoWEPP. CATENA 107:35–45

    Article  Google Scholar 

  • Mekonnen M, Melesse AM (2011) Soil erosion mapping and hotspot area identification using GIS and remote sensing in northwest Ethiopian highlands, near Lake Tana, In: Melesse A (ed) Nile River basin: hydrology, climate and water use, Chapter 10. Springer, Berlin, pp 207–224. doi:10.1007/978-94-007-0689-7_10

    Google Scholar 

  • Melesse AM, Ahmad S, McClain M, Wang X, Lim H (2011) Sediment load prediction in large rivers: ANN approach. Agric Water Manag 98:855–886

    Article  Google Scholar 

  • Mohammed H, Alamirew T, Assen M, Melesse AM (2015) Modeling of sediment yield in Maybar gauged watershed using SWAT, northeast Ethiopia. CATENA 127:191–205

    Article  Google Scholar 

  • Msagahaa J, Ndomba Melesse AM (2014) Modeling sediment dynamics: effect of land use, topography and land management. In: Melesse AM, Abtew W, Setegn S (eds) Nile River basin: ecohydrological challenges, climate change and hydropolitics. Springer, Berlin, pp 165–192

    Google Scholar 

  • New Hampshire Department of Environmental Services (NHDES) (2010) Pollutant loading calculations, Chapter 8. Guidance for estimating pre- and post-development stormwater pollutant loads. WD-10-11. http://des.nh.gov/organization/divisions/water/stormwater/documents/wd-08-20a_ch8.pdf

  • NOAA Coastal Service Center (NSPECT 2004) Nonpoint-source pollution and erosion comparison tool. Technical guide. Digital coast. http://www.csc.noaa.gov/digitalcoast/tools/nspect/TechnicalGuide. Accessed 10 Jan 2010

  • NOAA Coastal Service Center (2009) Coastal remote sensing. Land cover analysis. Coastal NLCD classification scheme. http://www.csc.noaa.gov/crs/lca/tech_cls.html#8

  • Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Res Manage 21:729–746

    Google Scholar 

  • Perez-Alegria L, Olivieri L, Rivera F (2005) GIS-linked soil erosion model for sustainable management of the Rio Grande de Arecibo watershed. Project no. PR-MS-00011. Nifa PR. USDA-Universidad de Puerto Rico

    Google Scholar 

  • Perez-Rodriguez R, Marquez MJ, Bienes R (2007) Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level. Sci Total Environ 378:166–173

    Article  CAS  Google Scholar 

  • Ramos–Ginés O (1997) Water balance and quantification of total phosphorus and total nitrogen loads entering and leaving Lago de Cidra, Central Puerto Rico. U.S. Geological Survey. Water Resour Invest Rep 96–4222

    Google Scholar 

  • Schueler T (1987) Controlling urban runoff: a practical manual for planning and designing urban BMPs. Metropolitan Washington Council of Governments. Washington, DC.

    Google Scholar 

  • Setegn SG, Srinivasan R, Dargahil B, Melesse AM (2009) Spatial delineation of soil erosion prone areas: application of SWAT and MCE approaches in the Lake Tana basin, Ethiopia. Hydrol Process (Special Issue): Nile Hydrol 23(26):3738–3750

    Google Scholar 

  • Setegn SG, Bijan Dargahi B, Srinivasan R, Melesse AM (2010) Modelling of sediment yield from Anjeni Gauged watershed, Ethiopia using SWAT. JAWRA 46(3):514–526

    CAS  Google Scholar 

  • Sotomayor-Ramirez D, Martinez G, Perez-Alegria L (2004) Nutrient discharge from Mayaguez Bay watershed. Final progress report. Project no. CIMP-002. University of Puerto Rico, Department of Agricultural and Biosystems Engineering

    Google Scholar 

  • Torres V, Francisco J (2009) Desarrollo y Aplicación de un Índice de Calidad de Agua para ríos en Puerto Rico, Universidad de Puerto Rico. http://prwreri.uprm.edu/publications/PR_2009_ 01.pdf. Accessed 9 Feb 2010

  • U.S. Department of Agriculture, Natural Resources Conservation Service (2006) Soil Survey Geographic (SSURGO) database for Arecibo Area, Puerto Rico northern part. pr682. Available online at: http://SoilDataMart.nrcs.usda.gov/

  • U.S. Geological Survey (USGS) (2009) National elevation dataset (NED), 2nd edn. Available online at: http://seamless.usgs.gov

  • Wang X, Garza J, Whitney M, Melesse AM, Yang W (2008) Prediction of sediment source areas within watersheds as affected by soil data resolution. In: Findley PN (ed) Environmental modelling: new research, Chapter 7. Nova Science Publishers, Inc., Hauppauge, pp 151–185. ISBN 978-1-60692-034-3

    Google Scholar 

  • Warne AG, Webb RMT, Larsen MC (2005) Water, sediments and nutrient discharge characteristics of river in Puerto Rico, and their potential influence on coral reefs: U.S. Geological Survey. Scientific investigations report 2005-5206, 58 p

    Google Scholar 

Download references

Acknowledgments

The authors thank the U.S. Geological Survey (USGS) for the data set used in this chapter. Furthermore, we would like to thank Jaime H. Arbelaez for his comments and suggestions which surely improved this chapter.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Assefa M. Melesse .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Duque, M., Melesse, A.M. (2016). Runoff and Soil Loss Estimation Using N-SPECT in the Rio Grande de Anasco Watershed, Puerto Rico. In: Melesse, A., Abtew, W. (eds) Landscape Dynamics, Soils and Hydrological Processes in Varied Climates. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-319-18787-7_9

Download citation

Publish with us

Policies and ethics