Skip to main content
Log in

Study fate of pollutants due to oil spill in sea water through multimedia environmental modeling

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

Due to massive shipment of oil across the border, spill disaster occurs which results in release of pollutants posing both short- and long-term threats to ambient environment. In this paper, an integrated oil spill multimedia model framework is conceptualized which comprises Fugacity and Hydrocarbon Spill Screen Model. The aim of the model development is to predict the fate and transport mechanism of oil spill-based pollutants across multimedia i.e., water, air, sediments, and aquatic biota. Hydrocarbon spill screen model is used to identify mass flux and predict concentration of pollutants in receptor medium i.e., in surface water. Whereas, fugacity level I model is applied to determine multiphase transfer rates of contaminants from one medium to another. The developed framework is applied to a case study to explore the feasibility of a model. Three different poly-aromatic hydrocarbons (naphthalene, benzene, and toluene) are considered for model simulation. The results from modeling study reveal that 30,000 tons of crude oil spillage contribute 58% release of naphthalene pollutant in receiving water body. Whereas, other two constituents i.e., benzene and toluene are abundantly present in air phase contributing 83% and 85% release in air, respectively. Overall, naphthalene remained persistent in environment for around 7 years, polluting most of bottom sediments through advection phenomena and by bio-accumulating in aquatic species. Thus, the model provides useful outcomes to analyze the fate of pollutants released in environment because of spillage and help to select remediation method for spills incidents in time.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Abdel-Shafy HI, Mansour MSM (2016) A review on polycyclic aromatic hydrocarbons: source, environmental impact, effect on human health and remediation. Egypt J Pet 25:107–123

    Article  Google Scholar 

  • Ahsan H, Munshi AB, Shaukat S et al (2011) Assessment of dissolved/dispersed aliphatic and aromatic hydrocarbon pollution in seawater at the Clifton beach on the Karachi coast. J Chem Soc Pak 33:174–182

    CAS  Google Scholar 

  • Alegbeleye OO, Opeolu BO, Angela J (2017) Polycyclic aromatic hydrocarbons: a critical review of environmental occurrence and bioremediation. Environ Manag 60:758–783

    Article  Google Scholar 

  • Anttila A, Bhat RV, Bond JA et al (2002) IARC monographs on the evaluation of carcinogenic risks to humans: Some traditional herbal medicines, some mycotoxins, naphthalene and styrene. In: IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, vol 82

  • Asif Z, Chen Z (2016) Multimedia environmental analysis of PCBs fate and transport mechanism through a case study of transformer oil leakage. Int J Environ Sci Technol 13:793–802. https://doi.org/10.1007/s13762-016-0935-1

    Article  CAS  Google Scholar 

  • Basak SC, Mills D (2005) Prediction of partitioning properties for environmental pollutants using mathematical structural descriptors. Arkivoc 2005:60–76. https://doi.org/10.3998/ark.5550190.0006.206

    Article  Google Scholar 

  • Charbeneau RJ, Beckett GD (2007) LNAPL distribution and recovery model (LDRM), volume 1: distribution and recovery of petroleum hydrocarbon liquids in porous media. API Publ 4760:1–115

    Google Scholar 

  • Charbeneau RJ, Weaver JW (1995) The hydrocarbon spill screening model (HSSM) volume 2: theoretical background and source codes. USEPA Publ EPA/600/R-:1–319

  • Citro L, Gagliardi RV (2012) Risk assessment of hydrocarbon releases by pipelines. Chem Eng Trans 28:85–90

    Google Scholar 

  • Csiszar SA, Diamond ML, Thibodeaux LJ (2012) Modeling urban films using a dynamic multimedia fugacity model. Chemosphere 87:1024–1031

    Article  CAS  Google Scholar 

  • Fingas M, Brown C (2014) Review of oil spill remote sensing. Mar Pollut Bull 83:9–23

    Article  CAS  Google Scholar 

  • ITOPF Report (2017) Oil tanker spill statistics 2017. In: International Tanker Owners Pollution Federation Limited. http://www.itopf.com/knowledge-resources/data-statistics/statistics/

  • Johnson B, Kroner S, Cozzie D, Saleem Z (2002) An overview of USEPA’s integrated multimedia, multi-pathway, and multi-receptor exposure and risk assessment tool—the 3MRA Model. In: Brebbia CA, Klapperich H (eds) Brownfield sites: assessment, rehabilitation and development. WIT Press, Ashurst, pp 343–351

    Google Scholar 

  • Jorgensen SE, Fath BD (2011) Fundamentals of ecological modelling: application in environmental management and research. Elsevier, Amsterdam

    Google Scholar 

  • Krohling RA, Campanharo VC (2011) Fuzzy TOPSIS for group decision making: a case study for accidents with oil spill in the sea. Expert Syst Appl 38:4190–4197. https://doi.org/10.1016/j.eswa.2010.09.081

    Article  Google Scholar 

  • Lindeberg MR, Maselko J, Heintz RA et al (2018) Conditions of persistent oil on beaches in Prince William Sound 26 years after the Exxon Valdez spill. Deep Sea Res Part II Top Stud Oceanogr 147:9–19. https://doi.org/10.1016/j.dsr2.2017.07.011

    Article  CAS  Google Scholar 

  • Mackay D, Arnot JA, Webster E, Reid L (2009) The evolution and future of environmental fugacity models. In: Devillers J (ed) Ecotoxicology modeling. Springer, Berlin, pp 355–375

    Chapter  Google Scholar 

  • Mahatnirunkul V, Towprayoon S, Bashkin V (2002) Application of the EPA hydrocarbon spill screening model to a hydrocarbon contaminated site in Thailand. Land Contam Reclam 10:17–24. https://doi.org/10.2462/09670513.598

    Article  Google Scholar 

  • MFF Pakistan (2016) A handbook on Pakistan’s coastal and marine resources. MFF Pakistan, Karachi

    Google Scholar 

  • Michel J, Fingas M (2016) Oil spills: causes, consequences, prevention, and countermeasures. In: Crawley GM (ed) Fossil fuels: current status and future directions. World Scientific, Singapore, pp 159–201

    Chapter  Google Scholar 

  • Munshi AB, Ansari FA, Siddiqi HA, Zeeshan M (2011) Petroleum hydrocarbon pollution after the tasman spirit oil spill of coastal/deep sea sediment along the Clifton beach Karachi, Pakistan. Pak J Sci Ind Res 54:90–97

    CAS  Google Scholar 

  • Murphy BL (2015) Chemical partitioning and transport in the environment. In: Murphy BL, Morrison RD (eds) Introduction to environmental forensics, 3rd edn. Academic Press, Cambridge, pp 165–197

    Chapter  Google Scholar 

  • Santos RG, Loh W, Bannwart AC, Trevisan OV (2014) An overview of heavy oil properties and its recovery and transportation methods. Braz J Chem Eng 31:571–590

    Article  Google Scholar 

  • Su DT, Tzu FM, Cheng CH (2019) Investigation of oil spills from oil tankers through grey theory: events from 1974 to 2016. J Mar Sci Eng 7:1–14. https://doi.org/10.3390/jmse7100373

    Article  CAS  Google Scholar 

  • Ullah Z, Wu W, Guo P, Yu J (2017) A study on the development of marine functional zoning in China and its guiding principles for Pakistan. Ocean Coast Manag 144:40–50. https://doi.org/10.1016/j.ocecoaman.2017.04.017

    Article  Google Scholar 

  • Weaver JW, Charbeneau RJ (1994) The hydrocarbon spill screening model (HSSM) volume 1: user’s guide. USEPA Publ EPA/600/R-:1–229

  • Xu Z, Chai J, Wu Y, Qin R (2015) Transport and biodegradation modeling of gasoline spills in soil–aquifer system. Environ Earth Sci 74:2871–2882. https://doi.org/10.1007/s12665-015-4311-0

    Article  CAS  Google Scholar 

  • Yoon H, Werth CJ, Barkan CPL et al (2009) An environmental screening model to assess the consequences to soil and groundwater from railroad-tank-car spills of light non-aqueous phase liquids. J Hazard Mater 165:332–344. https://doi.org/10.1016/j.jhazmat.2008.09.121

    Article  CAS  Google Scholar 

  • Yu Z, Lin Q, Gu Y et al (2019) Bioaccumulation of polycyclic aromatic hydrocarbons (PAHs) in wild marine fish from the coastal waters of the northern South China Sea: risk assessment for human health. Ecotoxicol Environ Saf 180:742–748. https://doi.org/10.1016/j.ecoenv.2019.05.065

    Article  CAS  Google Scholar 

  • Zheng C, Weaver J, Tonkin M (2010) MT3DMS, a modular three-dimensional multispecies transport model—user guide to the hydrocarbon spill source (HSS) package. US Environmental Protection Agency, Athens

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank Institute of Environmental Engineering and Research, UET, Lahore, for providing facilities to carry out research. Also want to express their gratitude to editor and reviewers who kindly reviewed the earlier version of this manuscript and provided valuable suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Z. Asif.

Additional information

Editorial responsibility: S.R. Sabbagh-Yazdi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chughtai, R., Asif, Z. Study fate of pollutants due to oil spill in sea water through multimedia environmental modeling. Int. J. Environ. Sci. Technol. 18, 761–770 (2021). https://doi.org/10.1007/s13762-020-02849-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-020-02849-z

Keywords

Navigation