Skip to main content
Log in

Biochemical Oxygen Demand Relationships in Typical Agricultural Effluents

  • Published:
Water, Air, & Soil Pollution Aims and scope Submit manuscript

Abstract

Understanding the variables controlling biochemical oxygen demand (BOD) of effluents from agricultural systems is essential for predicting and managing the water quality risks associated with agricultural production. In this study, short- and long-term oxygen demand behaviors of waters from primarily agricultural sources and their relationships with other parameters were evaluated. A total of 46 water samples were generated from diverse organic sources commonly associated with agricultural activities and analyzed for BOD and other various water quality parameters. Short-term BOD (BOD2 and BOD5) were significantly correlated with total organic carbon (TOC), particulate organic carbon (POC), and dissolved organic carbon (DOC) (R 2 = 0.62–0.77, p < 0.001), likewise to total nitrogen, total Kjeldahl nitrogen, and nitrite–nitrogen (NO2–N) (R 2 = 0.40–0.55, p < 0.001). Long-term BOD (BOD60) was generally poorly correlated with these C and N fractions. Phosphate (PO4–P) exhibited a positive and linear relationship with both short- and long-term BOD, whereas chloride (Cl) tended to inhibit oxygen demand. Multivariate combinations of each of TOC, POC, and DOC with NO2–N, and Cl or PO4–P improved the predictions of both short- and long-term BOD. The ultimate BOD (BODu) derived from the first-order kinetics was highly correlated with BOD60 (R 2 = 0.81, p < 0.001) whereas BOD60 was correlated with BOD5 (R 2 = 0.60, p < 0.001). Overall the results indicated that C and N forms along with PO4–P and Cl were the dominant factors controlling the oxygen demand behaviors of agricultural effluents.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • American Public Health Association, American Water Work Association, & Water Pollution Control Federation (1989). Standard methods for the examination of water and wastewater, Washington, DC.

  • Berthouex, M. P., & Brown, C. L. (1994). Statistics for environmental engineers. Boca Raton: CRC Press.

    Google Scholar 

  • Blevins, D. W., Wilkison, D. H., Kelly, B. P., & Silva, S. R. (1996). Movement of nitrate fertilizer to glacial till and runoff from a claypan soil. Journal of Environmental Quality, 25, 584–593.

    Article  CAS  Google Scholar 

  • Carlton, R. G., & Wetzel, R. G. (1988). Phosphorus flux from lake sediments: Effect of epipelic algal oxygen production. Limnology and Oceanography, 33, 562–570.

    Article  CAS  Google Scholar 

  • Cecan, F., & Cigdem, Y. (2001). Application of various BOD test methods in landfill leachates. Journal of Environmental Science and Health, 4, 545–564.

    Article  Google Scholar 

  • Chandler, R. L., O’Shaughnessy, J. C., & Blanc, F. C. (1976). Pollution monitoring with total organic carbon analysis. Journal (Water Pollution Control Federation), 48, 2791–2803.

    Google Scholar 

  • Constable, T. W., & Edward, R. M. (1979). BOD/TOC correlations and their application to water quality evaluation. Water, Air, and Soil Pollution, 1, 363–375.

    Article  Google Scholar 

  • Constable, T., & McBean, E. (1977). Bayesian model discrimination for BOD analyses. Canadian Journal of Civil Engineering, 4, 371–379.

    Article  Google Scholar 

  • Delzer, G. C., & McKenzie, S. W. (1999). Five-day biochemical oxygen demand. U.S. Geological Survey TWR1 Book 9.

  • Emery, R. M., Welch, E. B., & Christman, R. F. (1971). Total organic carbon analyzer and its application to water research. Journal (Water Pollution Control Federation), 43, 1834–1844.

    CAS  Google Scholar 

  • Ferrier, R. C., Edwards, A. C., Hirst, D., Littlewood, I. G., Watts, C. D., & Morris, R. (2001). Water quality of Scottish rivers: Spatial and temporal trends. Science of the Total Environment, 265, 327–342.

    Article  CAS  Google Scholar 

  • Hendrickson, J., Trahan, N., Gordon, E., & Ouyang, Y. (2007). Estimating relevance of organic carbon, nitrogen, and phosphorus loads to a blackwater river estuary. Journal of American Water Resources Association, 43, 264–279.

    Article  CAS  Google Scholar 

  • Holmer, M., & Storkholm, P. (2001). Sulphate reduction and sulfur cycling in lake sediments: A review. Freshwater Biology, 46, 431–451.

    Article  CAS  Google Scholar 

  • Jordan, T. E., Whigham, D. F., Hofmockel, H. K., & Petteck, M. A. (2003). Nutrient and sediment removal by a restored wetland receiving agricultural runoff. Journal of Environmental Quality, 32, 1534–1547.

    Article  CAS  Google Scholar 

  • Karube, I., Matsunaga, T., Mitsuda, S., & Suzuki, S. (1977a). Microbial electrode BOD sensor. Biotechnology and Bioengineering, 19, 1535–1540.

    Article  CAS  Google Scholar 

  • Karube, I., Matsunaga, T., Mitsuda, S., & Suzuki, S. (1977b). A rapid method for estimation of BOD by using immobilized microbial cell. Journal of Fermentation Technology, 55, 243–248.

    CAS  Google Scholar 

  • Lung, W. S., & Sobeck, R. G. (1999). Renew use of BOD/DO models in water quality management. Journal of Water Resources Planning and Management, 125(4), 222–227.

    Article  Google Scholar 

  • Maier, W. J., & McConnell, H. L. (1974). Carbon measurements in water quality monitoring. Journal (Water Pollution Control Federation), 46, 623–633.

    CAS  Google Scholar 

  • Marsili, L. S. (1986). Modelling batch BOD exertion curves. Environmental Technology Letter, 7, 341–350.

    Article  Google Scholar 

  • Marske, D. M., & Polkowski, L. B. (1972). Evaluation of methods of the BOD tests of endogenous respiration of bacteria. Sewage and Industrial Wastes, 25, 1163–1173.

    Google Scholar 

  • Marty, J. L., Olive, D., & Asano, Y. (1997). Measurement of BOD: Correlation between 5-day BOD and commercial BOD sensor values. Environmental Technology, 18, 333–337.

    Article  CAS  Google Scholar 

  • Mason, I. G., McLachlan, R. I., & Gérard, D. T. (2006). A double exponential model for biochemical oxygen demand. Bioresource Technology, 97, 273–282.

    Article  CAS  Google Scholar 

  • Nemerow, N. L. (1974). Scientific stream pollution analysis. New York: McGraw-Hill.

    Google Scholar 

  • Ng Kee Kwong, K. F., Bholah, A., Volcy, L., & Pynee, K. (2002). Nitrogen and phosphorus transport by surface runoff from a silty clay loam soil under sugarcane in the humid tropical environment of Mauritius. Agriculture, Ecosystems, and Environment, 91, 147–157.

    Article  Google Scholar 

  • Pasco, N., Baronian, K., Jeffries, C., & Hay, J. (2000). Biochemical mediator demand—A novel rapid alternative for measuring biochemical oxygen demand. Applied Microbiology and Biotechnology, 53, 613–618.

    Article  CAS  Google Scholar 

  • Robbins, J. W., King, G. J., & Howells, D. H. (1969). Total organic determinations in swine waste effluents. Presentation at the American Society of Agricultural Engineers Conference, Chicago, Illinois, 9–12.

  • Roider, E. M., Le, V. T., Adrian, D. D., & Sanders, T. G. (2004). Water quality model incorporates unconventional BOD reduction. Journal Environmental Systems, 30(4), 303–316.

    Article  Google Scholar 

  • Sang, E. L., & Yoon, S. S. (1995). Biochemical characterization of wastewater by electrolytic respirometer. Water Science and Technology, 31, 91–100.

    Google Scholar 

  • SAS Institute (2003). SAS users guide: Statistics, version 9.1. Cary: SAS Institute.

    Google Scholar 

  • Sawyer, C. N., McCarty, P. L., & Parkin, G. F. (1994). Chemistry for environmental engineering. New York: McGraw-Hill Inc.

    Google Scholar 

  • Schaffer, R. B., Van Hall, C. E., McDermott, G. N., Barth, D., Stenger, V. A., Sebesta, S. J., et al. (1965). Application of a carbon analyzer in waste treatment. Journal (Water Pollution Control Federation), 37(11), 1545–1566.

    CAS  Google Scholar 

  • Schreiber, J. D., & Neumaier, E. E. (1987). Biochemical oxygen demand of agricultural runoff. Journal of Environmental Quality, 16, 6–10.

    Article  CAS  Google Scholar 

  • Shrivastava, A. K., Swaroop, J., & Jain, N. (2000). Effect of seed on BOD exertion. Indian Journal of Environmental Health, 42, 75–78.

    CAS  Google Scholar 

  • Shuman, L. M. (2002). Phosphorus and nitrate nitrogen in runoff following fertilizer application to turfgrass. Journal of Environmental Quality, 31, 1710–1715.

    Article  CAS  Google Scholar 

  • Tchobanoglous, G., Burton, F. L., Stensel, H. D., & Metcalf & Eddy. (2002). Wastewater engineering: Treatment and reuse. New York: McGraw-Hill.

    Google Scholar 

  • Udeigwe, T. K., Wang, J. J., & Zhang, H. (2007). Predicting suspended solids and particulate phosphorus for selected Louisiana soils using simple soil tests. Journal of Environmental Quality, 36, 1310–1317.

    Article  CAS  Google Scholar 

  • USEPA (1978). Methods for the chemical analysis of water and wastes (MCAWW) (EPA/600/4-79/020). http://www.caslab.com/EPA-Method-351_4/. Accessed 15 November 2009.

  • USEPA (1993). Methods for the determination of inorganic substances in environmental samples (EPA/600/R-93/100). http://www.epa.gov/waterscience/methods/method/files/300_0.pdf. Accessed 15 November 2009.

  • USGS (2000). Procedures for processing samples for carbon analysis. Office of Water Quality Technical Memorandum. http://water.usgs.gov/admin/memo/QW/qw00.08.html. Accessed 15 November 2009.

  • Young, J. C., & Clark, J. W. (1965). Second order equation for BOD. Journal of the Sanitary Engineering Division Proceedings of the American Society of Civil Engineers, 91(SA1), 43–57.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jim J. Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Udeigwe, T.K., Wang, J.J. Biochemical Oxygen Demand Relationships in Typical Agricultural Effluents. Water Air Soil Pollut 213, 237–249 (2010). https://doi.org/10.1007/s11270-010-0381-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11270-010-0381-5

Keywords

Navigation