Skip to main content
Log in

Simulation of nitrogen and phosphorus loads in the Dongjiang River basin in South China using SWAT

  • Research Article
  • Published:
Frontiers of Earth Science in China Aims and scope Submit manuscript

Abstract

Population growth, urbanization, and intensified agriculture have resulted in mobilization of nitrogen and phosphorus, which is the main cause of river water quality deterioration. Environmental regulation has expedited the necessity for agricultural producers to design and implement more environmentally suitable practices. Therefore, there is a need to identify critical nutrients and their loss/transport potential. Watershed model can be used to better understand the relationship between land use activities/management and hydrologic processes/water quality changes that occur within a watershed. The objective of the study is to test the performance of the SWAT model and the feasibility of using this model as a simulator of water flow and nitrogen and phosphorus yields over the Dongjiang River basin in South China.

Spatial data layers of land slope, soil type, and land use were combined with geographic information system (GIS) to aid in creating model inputs. The observed streamflow and sediment at Boluo station in the Dongjiang River basin were used to calibrate and validate the model. Time series plots and statistical measures were used to verify model predictions. Predicted values generally matched well with the observed values during calibration and validation (R 2≥0.6 and Nash-Suttcliffe Efficiency ≥0.5) except for underestimation of sediment peaks and overestimation of sediment valleys at Boluo. This study shows that SWAT is able to predict streamflow, sediment generation, and nutrients transport with satisfactory results.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arnold J G, Allen P M, Bernhardt G (1993). A comprehensive surface groundwater flow model. J Hydrol, 142: 47–69

    Article  Google Scholar 

  • Arnold J G, Allen P M, Muttiah R, Bernhardt G (1995). Automated baseflow separation and recession analysis techniques. Ground Water, 33(6): 1010–1018

    Article  Google Scholar 

  • Arnold J G, Srinivasan R, Muttiah R S, Williams J R (1998). Large area hydrologic modeling and assessment part I: model development. J Am water Resour Assoc, 34(1): 73–89

    Article  Google Scholar 

  • Borah D K, Bera M (2003). Watershed-scale hydrologic and nonpointsource pollution models: Review of mathematical bases. American Society of Agricultural Engineers, 46(6): 1553–1566

    Google Scholar 

  • Chen J, Wu Y P (2007). Exploring hydrologic process features of the East River (Dongjiang) basin in South China using VIC and SWAT. IAHS Publication, 319: 116–123

    Google Scholar 

  • Chung S W, Gassman P W, Gu R, Kanwar R S (2002). Evaluation of EPIC for assessing tile flow and nitrogen losses for alternative agricultural management systems. Trans ASAE, 45(4): 113–122

    Google Scholar 

  • Easton Z M, Fuka D R, Walter M T, Cowan D M, Schneiderman E M, Steenhuis T S (2008). Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas. J Hydrol, 348: 279–291

    Article  Google Scholar 

  • Gosain A K, Sandhya R, Srinivasan R, Reddy N G (2005). Return-flow assessment for irrigation command in the Palleru river basin using SWAT model. Hydrol Process, 19: 673–682

    Article  Google Scholar 

  • Green C H, van Griensven A (2008). Autocalibration in hydrologic modeling: Using SWAT2005 in small-scale watersheds. Environmental Modelling & Software, 23: 422–434

    Article  Google Scholar 

  • Guangdong Soil Survey Office (1993). Guangdong Soil

  • Jarvis A, Reuter H I, Nelson A, Guevara E (2006). Hole-filled seamless SRTM data V3, International Centre for Tropical Agriculture (CIAT), available from http://srtm.csi.cgiar.org

  • Muleta M K, Nicklow J W (2005). Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. J Hydrol, 306: 127–145

    Article  Google Scholar 

  • Nash J E, Sutcliffe J V (1970). River flow forecasting through conceptual models: Part I. A discussion of principles. J Hydrol, 10: 282–290

    Google Scholar 

  • Neitsch S L, Arnold J G, Kiniry J R, Williams J R, King K W (2005). Soil andWater Assessment Tool Theoretical Documentation, Version 2005. Grassland, soil and research service, Temple, TX

  • Nikolaidis N P, Heng H, Semagin R, Clausen J C (1998). Non-linear response of a mixed land use watershed to nitrogen loading. Agricult Ecosyst Environ, 67: 251–265

    Article  Google Scholar 

  • Ramanarayanan T S, Williams J R, Dugas WA, Hauck LM, McFarland A M S (1997). Using APEX to identify alternative practices for animal waste management: Part II. Model application. ASAE Paper97-2209. ASAE, St. Joseph, MI

    Google Scholar 

  • Santhi C, Arnold J G, Williams J R, Dugas WA, Srinivasan R, Hauck L M (2001). Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of American Water Resources Association, 37(5): 1169–1188

    Article  Google Scholar 

  • Tolson B A, Shoemaker C A (2007). Cannonsville reservoir watershed SWAT2000 model development, calibration and validation. J Hydrol, 337: 68–86

    Article  Google Scholar 

  • van Griensven A, Francos A, Bauwens W (2002). Sensitivity analysis and autocalibration of an integral dynamic model for river water quality. Water Sci Tchnol, 45: 325–332

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yiping Wu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, Y., Chen, J. Simulation of nitrogen and phosphorus loads in the Dongjiang River basin in South China using SWAT. Front. Earth Sci. China 3, 273–278 (2009). https://doi.org/10.1007/s11707-009-0032-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11707-009-0032-6

Keywords

Navigation