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Impacts of hazardous air pollutants emitted from phosphate fertilizer production plants on their ambient concentration levels in the Tampa Bay area

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Abstract

The concentrations and distribution of hazardous air pollutants (HAPs) metals emitted from four phosphate fertilizer plants in Central Florida, as well as their environmental and health impacts, were investigated. It was hypothesized that the modern control devices employed in the plants would lower the exposure, if any, to an acceptable level. The dominant HAP metals emitted from the stacks of these plants were identified to be Mn, Cr, Ni, and Se. The ambient concentrations at six receptors (Zephyrhills, Plant City, Tampa, Lakeland, Tower Dairy, and Sydney) downwind the plants estimated by AERMOD revealed the maximum ground level concentrations were lower than the European Communities and USEPA standards. Source apportionment estimated by the chemical mass balance (CMB) model indicated that marine (45.5 ± 17.1 %) and geological (17.3 ± 10.6 %) were the top two contributors for 26 elements, while the phosphate fertilizer plants contributed only 1.14 ± 0.55 %. Unexpectedly, the maximum ground-level risks for Cr from plant A (1.3 × 10−6 ± 8.4 × 10−8) and plant D (1.1 × 10−6 ± 6.7 × 10−8) were slightly higher than the general guideline of 1 × 10−6, but they occurred within the facility limit. No other metals approached levels of concern for non-cancer risks. One possible source for Cr emissions from these plants may be stainless steel milling balls used in the production process. Sensitivity analysis of the meteorological data in 2001–2005 showed only 7.7 % variation in the corresponding risk. Overall, phosphate fertilizer plants make minor contribution to the ambient levels of HAP metals compared to other sources for the general population in the Tampa Bay area, although more in-depth investigation into the Cr emissions is recommended.

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References

  • Aydin I, Aydin F, Saydut A, Bakirdere EG, Hamamci C (2010) Hazardous metal geochemistry of sedimentary phosphate rock used for fertilizer (Mazıdag, SE Anatolia, Turkey). Microchem J 96:247–251

    Article  CAS  Google Scholar 

  • Äyräs M, Kashulina G (2000) Regional patterns of element contents in the organic horizon of podzols in the central part of the Barents region (Finland, Norway and Russia) with special reference to heavy metals (Co, Cr, Cu, Fe, Ni, Pb, V and Zn) and sulphur as indicators of airborne pollution. J Geochem Explor 68:127–144

    Article  Google Scholar 

  • Bankovitch V, Carrier G, Gagnon C, Normandin L, Kennedy G, Zayed J (2003) Total suspended particulate manganese in ambient air in Montreal 1981–2000. Sci Total Environ 308:185–193

    Article  CAS  Google Scholar 

  • Becker P (1989) Phosphates and phosphoric acid- raw materials, technology and economics of the wet process. Marcel Dekker Inc, New York

    Google Scholar 

  • Carlos García-Díaz J, Gozalvez-Zafrilla JM (2012) Uncertainty and sensitive analysis of environmental model for risk assessments: an industrial case study. Reliab Eng Syst Saf 107:16–22

    Article  Google Scholar 

  • Census Redistricting Data: Tampa city F (2010) United States Census Bureau

  • Chow JC, Watson JG, Lowenthal DH, Solomon PA, Magliano KL, Ziman SD, Willard Richards L (1992) PM10 source apportionment in California's San Joaquin valley. Atmos Environ 26:3335–3354

    Article  Google Scholar 

  • Cleverly DH, Morrison RM, Riddle BL, Kellam RG (1989) Regulatory analysis of pollutant emissions, including polychlorinated dibenzo-p-dioxins (CDDs) and dibenzofurans (CDFs), from the stacks of municipal waste combustors. Chemosphere 18:1143–1153

    Article  Google Scholar 

  • Cote IL, Bayard SP (1990) Cancer risk assessment of 1, 3-butadiene. Environ Health Perspect 86:149–153

    Article  CAS  Google Scholar 

  • Dietl C, Reifenhäuser W, Peichl L (1997) Association of antimony with traffic—occurrence in airborne dust, deposition and accumulation in standardized grass cultures. Sci Total Environ 205:235–244

    Article  CAS  Google Scholar 

  • European Communities (2001) Ambient air pollution by As, Cd and Ni compounds. http://ec.europa.eu/environment/air/pdf/pp_as_cd_nipdf

  • Florida Phosphate (2010) http://floridaphosphate.com/

  • Grosch TG, Lee RF (1999) Sensitivity of the AERMOD air quality model to the selection of land use parameters. WIT Trans Ecol Environ 37

  • Haynes EN, Heckel P, Ryan P, Roda S, Leung Y-K, Sebastian K, Succop P (2010) Environmental manganese exposure in residents living near a ferromanganese refinery in Southeast Ohio: a pilot study. Neurotoxicology 31:468–474

    Article  CAS  Google Scholar 

  • Javitz HS, Watson JG, Robinson N (1988) Performance of the chemical mass balance model with simulated local-scale aerosols. Atmos Environ 22:2309–2322

    Article  CAS  Google Scholar 

  • Kakosimos K, Assael M, Katsarou A (2011) Application and evaluation of AERMOD on the assessment of particulate matter pollution caused by industrial activities in the Greater Thessaloniki area. Environ Technol 32:593–608

    Article  CAS  Google Scholar 

  • Lake Environmental Software (2010) AERMOD view http://weblakes.com/products/aermod/indexhtml

  • Lepp NW (1981) Effect of heavy metal pollution on plants: metals in the environment Applied Science Publish, London and New Jersey II:25

  • Melaku S, Morris V, Raghavan D, Hosten C (2008) Seasonal variation of heavy metals in ambient air and precipitation at a single site in Washington, DC. Environ Pollut 155:88–98

    Article  CAS  Google Scholar 

  • Pancras JP, Ondov JM, Poor N, Landis MS, Stevens RK (2006) Identification of sources and estimation of emission profiles from highly time-resolved pollutant measurements in Tampa, FL. Atmos Environ 40:467–481

    Article  Google Scholar 

  • Pancras JP, Vedantham R, Landis MS, Norris GA, Ondov JM (2011) Application of EPA unmix and nonparametric wind regression on high time resolution trace elements and speciated mercury in Tampa, Florida aerosol. Environ Sci Technol 45:3511–3518

    Article  CAS  Google Scholar 

  • Pandey J (2005) Evaluation of air pollution phytotoxicity downwind of a phosphate fertilizer factory in India. Environ Monit Assess 100:249–266

    Article  CAS  Google Scholar 

  • Rosenbaum AS, Axelrad DA, Woodruff TJ, Wei Y-H, Ligocki MP, Cohen JP (1999) National estimates of outdoor air toxics concentrations. J Air Waste Manag Assoc 49:1138–1152

    Article  CAS  Google Scholar 

  • Sabiha J, Mehmood T, Chaudhry MM, Tufail M, Irfan N (2009) Heavy metal pollution from phosphate rock used for the production of fertilizer in Pakistan. Microchem J 91:94–99

    Article  Google Scholar 

  • Samara C, Kouimtzis T, Tsitouridou R, Kanias G, Simeonov V (2003) Chemical mass balance source apportionment of PM10 in an industrialized urban area of Northern Greece. Atmos Environ 37:41–54

    Article  CAS  Google Scholar 

  • Schuhmacher M, Nadal M, Domingo JL (2009) Environmental monitoring of PCDD/Fs and metals in the vicinity of a cement plant after using sewage sludge as a secondary fuel. Chemosphere 74:1502–1508

    Article  CAS  Google Scholar 

  • Sharma R, Pervez S (2004) Study of spatial variability and enrichment of selected toxic elements in ambient particulate matter around a phosphate fertilizer plant in central India. J Sci Ind Res 63:949–956

    CAS  Google Scholar 

  • Song F, Gao Y (2011) Size distributions of trace elements associated with ambient particular matter in the affinity of a major highway in the New Jersey–New York metropolitan area. Atmos Environ 45:6714–6723

    Article  CAS  Google Scholar 

  • Steib R (2005) Regulatory modelling activity in Hungary. In: Advances in Air Pollution Modeling for Environmental Security. 337–347

  • Thurston GD, Spengler JD (1985) A quantitative assessment of source contributions to inhalable particulate matter pollution in metropolitan Boston. Atmos Environ 19:9–25

    Article  CAS  Google Scholar 

  • U.S. Department of health and human services (2005) Toxicological profile for Nickel. http://www.atsdr.cdc.gov/toxprofiles/tp15pdf

  • U.S. Department of health and human services (2008) Draft Toxicological Profile for Chromium. http://www.atsdr.cdc.gov/toxprofiles/tp7pdf

  • US Environmental Protection Agency (1988) Air Emission Species Mamual Research Triangle Park, NC, I and II

  • US Environmental Protection Agency (1992) Integrated Risk Information System, Manganese. http://www.epa.gov/IRIS/subst/0373.htm

  • US Environmental Protection Agency (1996) Method 5- Determination of particulate matter emissions from stationary sources. http://www.epa.gov/ttn/emc/methods/method5html

  • US Environmental Protection Agency (2007) Risk assessment and modeling- Human exposure model (HEM). http://www.epa.gov/ttn/fera/human_hemhtml

  • US Environmental Protection Agency (2008a) Air pollutants/Hazardous Air Pollutants (HAPs). http://www.epa.gov/ttn/atw/allabouthtml

  • US Environmental Protection Agency (2008b) National Ambient Air Quality Standards (NAAQS). http://www.epa.gov/air/criteria.html#1

  • US Environmental Protection Agency (2010) Support Center for Regulator Atmospheric Modeling/Receptor Modeling/Chemical Balance Mass. http://www.epa.gov/ttn/scram/receptorcmbhtml

  • US Environmental Protection Agency (2012) Support Center for Regulator Atmospheric Modeling/Preferred/Recommended Models/AERMOD Modeling System. http://www.epa.gov/ttn/scram/dispersionprefer/html#aermod

  • Valberg PA, Long CM (2012) Do brain cancer rates correlate with ambient exposure levels of criteria air pollutants or hazardous air pollutants (HAPs)? Air Qual Atmos Health 5:115–123

    Article  CAS  Google Scholar 

  • Watson JG, Chow JC (2001) Source characterization of major emission sources in the Imperial and Mexicali Valleys along the US/Mexico border. Sci Total Environ 276:33–47

    Article  CAS  Google Scholar 

  • Watson JG, Chow JC, Lu Z, Fujita EM, Lowenthal DH, Lawson DR, Ashbaugh LL (1994) Chemcial mass balance source apportionment of PM10 during the southern California air quality study. Aerosol Sci Technol 21:1–36

    Article  CAS  Google Scholar 

  • Yegnan A, Williamson DG, Graettinger AJ (2002) Uncertainty analysis in air dispersion modeling. Environ Model Softw 17:639–649

    Article  Google Scholar 

Download references

Acknowledgments

Authors are grateful to Mr. John Glunn, Mr. Alvaro Linero, and Ms. Melody Lovin from the Florida Department of Environmental Protection for providing the meteorological data and valuable insights. Authors also want to thank Dr. Joseph Patrick Pancras of USEPA and Dr. Noreen Poor from University of South Florida for providing ambient data, and Susan Fairchild from USEPA for providing emission data. Authors are thankful to Mr. Shaun Alverado from University of Florida for assistance in data analysis. Authors acknowledge the financial support from the Florida Industrial and Phosphate Research Institute (Contract No. 10-05-070R). The views expressed in this article are those of the authors and do not necessarily reflect the views or policies of the U.S. Environmental Protection Agency.

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Correspondence to Chang-Yu Wu.

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Li, HW., Afshar-Mohajer, N., Wu, CY. et al. Impacts of hazardous air pollutants emitted from phosphate fertilizer production plants on their ambient concentration levels in the Tampa Bay area. Air Qual Atmos Health 8, 453–467 (2015). https://doi.org/10.1007/s11869-014-0294-3

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  • DOI: https://doi.org/10.1007/s11869-014-0294-3

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