Skip to main content
SpringerLink
Log in

Generalization of the MAFRAM Methodology for Semi-Volatile Organic Agro-Chemicals

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

Abstract

A wide variety of semi-volatile organic chemicals (SVOCs) are still in use in agricultural practices. A proper understanding of the environmental fate and ecotoxicological risk associated with these compounds can aid decision making, particularly regarding product registration and licensing. The aim of this paper is to expand the use of a previously developed Multimedia Agricultural Fate and Risk Assessment Model (MAFRAM) to SVOCs by adopting the fugacity concept as a second criterion to the existing MAFRAM partitioning criterion (i.e., aquivalence). Volatilization processes from surface compartments into the atmosphere were also included. For example, the application of the generalized model was illustrated using an average annual application rate of 4.48 kg/ha of chlorpyrifos over a typical homogeneous region. Chlorpyrifos emissions were assumed to take place in three environmental compartments (i.e., soil, air, and aboveground plants) with fractions of 0.1, 0.3, and 0.6, respectively. The trends seen in the modeling results were in good agreement with the existing experimental data. Validation issues in MAFRAM were also discussed. Comprehensive experimental validation is unattainable because of the large scale of the areas covered, the lack of boundaries for the system considered, and the uncertainty in the input parameters.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Batiha, M. A., Kadhum, A. A. H., Batiha, M. M., Takriff, M. S., & Abu Bakar, M. (2010). MAFRAM—a new fate and risk assessment methodology for non-volatile organic chemicals. Hazard Mater, 181, 1080–1087.

    Article  CAS  Google Scholar 

  • Batiha, M. A., Kadhum, A. A. H., Takriff, M. S., Abu Bakar, M., Zahedi, F., Wan Ramli, W. D., & Batiha, M. M. (2009). Modeling the fate and transport of non-volatile organic chemicals in the agroecosystem: a case study of Cameron Highlands. Process Saf Environ Prot, 87, 121–134.

    Article  CAS  Google Scholar 

  • Batiha, M. A., Kadhum, A. A. H., Zahedi, F., Abu Bakar, M., Wan Ramli, W. D., Takriff, M. S., & Batiha, M. M. (2007). The fate of non-volatile organic chemicals in the agricultural environment. Am J Appl Sci, 2, 456–464.

    Google Scholar 

  • Batiha, M. A., Kadhum, A. A. H., Zahedi, F., Abu Bakar, M., Wan Ramli, W. D., Takriff, M. S., & Batiha, M. M. (2008). MAM—an aquivalence-based dynamic mass balance model of the fate of non-volatile organic chemicals in the agricultural environment. Am J Eng Appl Sci, 1, 252–259.

    Article  Google Scholar 

  • Berding, V., & Matthies, M. (2002). European scenarios for EUSES regional distribution model. Environ Sci Poll Res Int, 9, 193–198.

    Article  CAS  Google Scholar 

  • Bloomfield, J. P., Williams, R. J., Gooddy, D. C., Cape, J. N., & Guha, P. (2006). Impacts of climate change on the fate and behaviour of pesticides in surface and groundwater—a UK perspective. Sci Total Environ, 369, 163–177.

    Article  CAS  Google Scholar 

  • Budd, R., O’geen, A. O., Goh, K. S., Bondarenko, S., & Gan, J. (2011). Removal mechanisms and fate of insecticides in constructed wetlands. Chemosphere, 83, 1581–1587.

    Article  CAS  Google Scholar 

  • Cahill, T. M., & Mackay, D. (2003). A high-resolution model for estimating the environmental fate of multi-species chemicals: application to malathion and pentachlorophenol. Chemosphere, 53, 571–581.

    Article  CAS  Google Scholar 

  • Chiou, G. T., Freed, B. H., Schmedding, D. W., & Kohnert, K. L. (1977). Partition coefficients and bioaccumulation of selected organic chemicals. Environ Sci Technol, 11, 475.

    Article  CAS  Google Scholar 

  • Corbin M (2009) Problem formulation for the environmental fate and ecological risk, endangered species and drinking water assessments in support of the registered review of chlorpyrifos, Office of Prevention, Pesticides, and Toxic Substances, U.S. EPA

  • Cowan, C., Mackay, D., Feijtel, F., van de Meent, D., Di Guardo, A., Davies, J., & Mackay, N. (1995). The multi-media model: A vital tool for predicting the fate of chemicals. Pensacola: SETAC Press.

    Google Scholar 

  • ECETOC. (1994). Environmental exposure assessment, Technical Report No. 61. Brussels: European Centre for Ecotoxicology and Toxicology of Chemicals.

    Google Scholar 

  • EFSA (2005) Draft assessment report for chlorpyrifos, SANCO/3059/99 - rev. 1.5, European Commission Health & Consumer Protection Directorate-General, Food Safety: Production and Distribution chain

  • Fang, H., Yu, Y. L., Wang, X., Shan, M., Wu, X. M., & Yu, J. Q. (2006). Dissipation of chlorpyrifos in pakchoi-vegetated soil in a greenhouse. J Environ Sci, 18, 760–764.

    CAS  Google Scholar 

  • Huess, J. M., & Glasson, W. A. (1968). Hydrocarbon reactivity and eye irritation. Environ Sci Technol, 2, 1109–1116.

    Article  Google Scholar 

  • Hughes, L., Mackay, D., Powell, D. E., & Kim, J. (2012). An updated state of the science EQC model for evaluating chemical fate in the environment: application to D5 (decamethylcyclopentasiloxane). Chemosphere, 87, 118–124.

    Article  CAS  Google Scholar 

  • Jury, W. A., Spencer, W. F., & Farmer, W. F. (1983). Behavior assessment models for trace organics in soil: I model description. Environ. Qual., 12, 558–564.

    Article  CAS  Google Scholar 

  • Kenaga, E. E., Whitney, W. K., Hardy, J. L., & Doty, A. E. (1965). Laboratory tests with Dursban insecticide. J Econ Entomol, 58, 1043–1050.

    CAS  Google Scholar 

  • Mackay, D. (2001). Multimedia environmental models: The fugacity approach (2nd ed.). Boca Raton: Lewis Publishers.

    Book  Google Scholar 

  • Mackay, D., & Diamond, M. (1989). Application of the QWASI (Quantitative Water Air Sediment Interaction) fugacity model to the dynamics of organic and inorganic chemicals in lakes. Chemosphere, 18, 1343–1365.

    Article  CAS  Google Scholar 

  • Mackay, D., & Paterson, S. (1991). Evaluating the multimedia fate of organic chemicals: a level III fugacity model. Environ Sci Technol, 25, 427–436.

    Article  CAS  Google Scholar 

  • Mackay, D., Di Guardo, A., Paterson, S., & Cowan, C. E. (1996a). Evaluating the environmental fate of a variety of types of chemicals using the EQC model. Environ Toxicol Chem, 15, 1627–1637.

    Article  CAS  Google Scholar 

  • Mackay, D., Di Guardo, A., Paterson, S., Kicsi, G., Cowan, C. E., & Kane, D. M. (1996b). Assessment of chemical fate in the environment using evaluative, regional and local scale models: illustrative application to chlorobenzenes and linear alkylbenzene sulfonates. Environ Toxicol Chem, 15, 1638–1648.

    Article  CAS  Google Scholar 

  • Müller, K., Magesan, G. N., & Bolan, N. S. (2007). A critical review of the influence of effluent irrigation on the fate of pesticides in soil. Agr Ecosyst Environ, 120, 93–116.

    Article  Google Scholar 

  • Ngan, C., Cheah, U., Abdullah, W., Lim, K., & Ismail, B. (2005). Fate of chlorothalonil, chlorpyrifos and profenofos in a vegetable farm in Cameron Highlands Malaysia. Water Air Soil Pollut Focus, 5, 125–136.

    Article  CAS  Google Scholar 

  • Nobel, P. S. (1991). Physicochemical and environmental plant physiology. San Diego: Academic.

    Google Scholar 

  • Oliver, G. R., McKellar, R. L., Woodburn, K. B., Eger, J. E., McGee, G. G., & Ordiway, T. R. (1987). Field dissipation and leaching study for chlorpyrifos in Florida citrus. Rep. GH-C 1870. Midland: Dow Chemical USA.

    Google Scholar 

  • Oskam, I. C., Ropstad, E., Lie, E., Derocher, A. E., Wiig, Ø., Dahl, E., Larsen, S., & Skaare, J. U. (2004). Organochlorines affect the steroid hormone cortisol in free-ranging polar bears (Ursus maritimus) at Svalbard Norway. Toxicol Environ Health, 67, 959–977.

    Article  CAS  Google Scholar 

  • Padovani, L., Trevisan, M., & Capri, E. (2004). A calculation procedure to assess potential environmental risk of pesticides at the farm level. Ecol Indic, 4, 111–123.

    Article  CAS  Google Scholar 

  • Racke, K. D. (1993). Environmental fate of chlorpyrifos. Rev Environ Contam Toxicol, 13, 1–150.

    Google Scholar 

  • Renaud, F. G., Bellamy, P. H., & Brown, C. D. (2008). Simulating pesticides in ditches to assess ecological risk (SPIDER): I Model description. Sci Total Environ, 394, 112–123.

    Article  CAS  Google Scholar 

  • Reus, J., Leendertse, P., Bockstaller, C., Fomsgaard, I., Gutsche, V., Lewis, K., Nilsson, C., Pussemier, L., Trevisan, M., Van der Werf, H., Alfarroba, F., Blumel, S., Isart, J., McGrath, D., & Seppala, T. (2002). Comparison and evaluation of eight pesticide environmental risk indicators developed in Europe and recommendations for future use. Agric Ecosyst Environ, 90, 177–187.

    Article  Google Scholar 

  • Riederer, M. (1995). Partitioning and transport of organic chemicals between the atmospheric environment and leaves. In S. Trapp & J. McFarlane (Eds.), Plant contamination, modeling and simulation of organic chemical processes (pp. 153–190). Boca Raton: Lewis Publishers.

    Google Scholar 

  • Sánchez-Bayo, F., Baskaran, S., & Kennedy, I. R. (2002). Ecological relative risk (EcoRR): another approach for risk assessment of pesticides in agriculture. Agric Ecosyst Environ, 91, 37–57.

    Article  Google Scholar 

  • Sieber, S., Pannell, D., Müller, K., Holm-Müller, K., Kreins, P., & Gutsche, V. (2010). Modelling pesticide risk: a marginal cost-benefit analysis of an environmental buffer-zone programme. Land Use Policy, 27, 653–661.

    Article  Google Scholar 

  • Smith, G. N., Watson, B. S., & Fischer, F. S. (1967). Metabolism investigations on dursban insecticide. Metabolism of [36Cl]0,O-Diethyl 0–3,5,6-trichloro-2-pyridyl phosphorothioate in rats. Agric Food Chem, 15, 132–133.

    Article  CAS  Google Scholar 

  • Sparling, D. W., Fellers, G. M., & McConnell, L. L. (2001). Pesticides and amphibian population declines in California USA. Environ Toxicol Chem, 20, 1591–1595.

    Article  CAS  Google Scholar 

  • Van den Berg, F., Kubiak, R., & Benjey, W. G. (1999). Emission of pesticides into the air. Water Air Soil Pollut, 115, 195–218.

    Article  Google Scholar 

  • Waite, D. T., Sommerstad, H., Grover, R., Kerr, L., & Westcott, N. D. (1992). Pesticides in ground water, surface water and spring runoff in a small Saskatchewan watershed. Environ Toxiccol Chem, 11, 741–748.

    Article  CAS  Google Scholar 

  • Wang, C., Feng, Y., Zhao, S., & Li, B. (2012). A dynamic contaminant fate model of organic compound: a case study of nitrobenzene pollution in Songhua River, China. Chemosphere, 88, 69–76.

    Article  CAS  Google Scholar 

  • Wania, F., Breivik, K., Persson, N. J., & McLachlan, M. S. (2006). CoZMo-POP 2 – A fugacity-based dynamic multi-compartmental mass balance model of the fate of persistent organic pollutants. Environ Model Softw, 21, 868–884.

    Article  Google Scholar 

  • Warren, C. S., Mackay, D., Bahadur, N. P., & Boocock, D. G. B. (2002). A suite of multi-segment fugacity models describing the fate of organic contaminants in aquatic systems: application to the Rihand Reservoir. India Water Res, 36, 4341–4355.

    Article  CAS  Google Scholar 

  • Yao, Y., Tuduri, L., Harner, T., Blanchard, P., Waite, D., Poissant, L., Murphy, C., Belzer, W., Aulagnier, F., Li, Y., & Sverko, E. (2006). Spatial and temporal distribution of pesticide air concentrations in Canadian agricultural regions. Atmos Environ, 40, 4339–4351.

    Article  CAS  Google Scholar 

  • Yet-Pole, I., & Te-Lung, C. (2008). The development of a 3D risk analysis method. Hazard Mater, 153, 600–608.

    Article  Google Scholar 

  • Zabik, J. M., & Seiber, J. N. (1993). Atmospheric transport of organophosphate pesticides from California's Central Valley to the Sierra Nevada mountains. J Environ Qual, 22, 80–90.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, Al-Hussein Bin Talal University, 71111, Ma’an, Jordan

    Mohammad A. Batiha, Leema A. Al-Makhadmeh & Marwan M. Batiha

  2. Environment and Life Sciences Center, Kuwait Institute for Scientific Research, Safat, 13109, Kuwait, Kuwait

    Ashraf Ramadan

  3. Department of Chemical and Process Engineering, Universiti Kebangsaan Malaysia, UKM, 43600, Bangi, Malaysia

    Abdul Amir H. Kadhum

Authors
  1. Mohammad A. Batiha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Leema A. Al-Makhadmeh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marwan M. Batiha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ashraf Ramadan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Abdul Amir H. Kadhum
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohammad A. Batiha.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Batiha, M.A., Al-Makhadmeh, L.A., Batiha, M.M. et al. Generalization of the MAFRAM Methodology for Semi-Volatile Organic Agro-Chemicals. Water Air Soil Pollut 225, 1789 (2014). https://doi.org/10.1007/s11270-013-1789-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11270-013-1789-5

Keywords

Search

Navigation