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Map** pollution dynamics: utilizing GNOME to model oil spill trajectories in tanker terminals

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Abstract

The aim of this study is to uncover the multifaceted environmental threats posed by Oil Spill Water Pollution (OSWP) originating from tanker terminals situated in the Qeshm and Hormozgan regions of Iran. In this region, water pollution arises from diverse sources, mostly from ruptured pipelines, corroded valves, unforeseen accidents, and aging facilities. The Qeshm Canal and Qeshm Tanker Terminal emerged as pivotal sites for investigation within this study. The focus is directed towards pinpointing vulnerable areas at risk of water contamination and delving into the intricate pathways and impacts associated with oil spills. Utilizing the sophisticated modeling capabilities of the National Oceanic and Atmospheric Administration’s (NOAA) GNOME model, the research explores various scenarios extrapolated from seasonal atmospheric and oceanic data through 2022. The findings show the OSWP hazard zones located northeast of Qeshm. Notably, the wind and currents greatly affect how OSWPs are destined and dispersed. This underscores the intricate interplay between environmental factors and spill dynamics. In essence, this study not only sheds light on the imminent environmental threats posed by OSWP but also underscores the critical need for proactive measures and comprehensive strategies to mitigate the adverse impacts on marine ecosystems and coastal communities.

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Abbreviations

°K:

Temperature degrees in Kelvin

2D:

Two-dimensional

ADESCO:

Abu Dhabi Emergency Support Organization

ADIOS:

Automated Data Inquiry for Oil Spills

ALOHA:

Areal Locations of Hazardous Atmospheres

ArcGIS:

Is a software that allows to handle and analyze Geographic Information Systems by visualizing geographical statistics

ASA:

American Science Association

Bch:

Beached

BMT:

British Maritime Technology

CMS:

Coastal Management Section

DM:

Dubai Municipality

DOE:

Department of Environment

ERD:

Emergency Response Division

Flt:

Floating

GIS:

Geographic Information System

GNOME:

General NOAA Operational Modeling Environment

GULFSLIK:

GULF War Simulation Oil Spill by King Fahad University

HDOE:

Hormozgan Department of Environment

HMO:

Hormozgan Meteorological Organization

IRIMO:

Iranian Meteorological Organization

INOS:

Institute of Oceanography and Environment

LEs:

Lagrangian elements

MOHID:

Modelo Hidrodinâmico

NCEC:

National Chemical Emergency Centre

NOAA:

National Oceanic and Atmospheric Administration

OILMAP:

Oil Spill Modeling Application

OILPOL:

International Convention for the Prevention of Pollution of the Sea by Oil

OSCAR:

Oil Spill Contingency and Response

OSIS:

Oil Spill Identification System

OSWP:

Oil Spill Water Pollution

ROPME:

Regional Organization for the Protection of the Marine Environment

RSA:

ROPME Sea Area

SDE:

School of Distance Education

SINTEF:

Stiftelsen for industriell og teknisk forskning (Foundation for Scientific and Industrial Research at the Norwegian Institute of Technology)

SLROSM:

SL Ross Oil Spill Model

SSE:

South-southeast

SW:

Southwest

UMT:

Universiti Malaysia Terengganu

UNESCO:

United Nations Educational, Scientific and Cultural Organization

UPM:

Universiti Putra Malaysia

USM:

Universiti Sains Malaysia

References

  • Abdallah IM, Chantsev VY (2022) Simulating oil spill movement and behavior: a case study from the Gulf of Suez Egypt. Model Earth Syst Environ 8(4):4553–4562

    Google Scholar 

  • Afenyo MK (2017) Fate, transport and risk of potential accidental release of hydrocarbons during arctic ship** (Doctoral dissertation, Memorial University of Newfoundland)

  • Akbarzadeh-Chomachaei G, Koohkan H, Dehghani R, Mortazavi MS, Gozari M (2023) Comparison of heavy metals pollution in coastal sediments of Bandar Abbas, Qeshm Island and Hormuz-Lark, Persian Gulf. Intl J Environ Sci Technol, 1–16

  • Akinbamini OE, Anifowose B, Obioma EC (2022) Oil spill modeling for the mariner oil field, east of Shetland, United Kingdom, North Sea. J Environ Eng 148(8):04022037

    CAS  Google Scholar 

  • Al Naggar Y, Khalil MS, Ghorab MA (2018) Environmental pollution by heavy metals in the aquatic ecosystems of Egypt. Open Acc J Toxicol 3:555603

    Google Scholar 

  • Aldosari KR (2019) Marine safety and pollution prevention from oil spills in the Arabian Gulf: a comparative study of applicable international and regional conventions

  • Aldosari KR (2021) The applicability of the international and regional efforts to prevent oil pollution: comparative analysis between the Arabian Gulf region and the North Sea. Sustainability in the maritime domain: towards ocean governance and beyond. Springer International Publishing, Cham, pp 199–221

    Google Scholar 

  • Ali H, Khan E (2019) Trophic transfer, bioaccumulation, and biomagnification of non-essential hazardous heavy metals and metalloids in food chains/webs—concepts and implications for wildlife and human health. Hum Ecol Risk Assess Int J 25(6):1353–1376

    CAS  Google Scholar 

  • Ali H, Khan E, Ilahi I (2019) Environmental chemistry and ecotoxicology of hazardous heavy metals: environmental persistence, toxicity, and bioaccumulation. J Chem, 2019

  • Alidoust M, Yeo GB, Mizukawa K, Takada H (2021) Monitoring of polycyclic aromatic hydrocarbons, hopanes, and polychlorinated biphenyls in the Persian Gulf in plastic resin pellets. Mar Pollut Bull 165:112052

    CAS  Google Scholar 

  • Almutairi AM (2020) Saudi regime for ships source oil spill in the Arabian Gulf preparedness and response

  • Balogun AL, Yekeen ST, Pradhan B, Yusof KBW (2021) Oil spill trajectory modelling and environmental vulnerability map** using GNOME model and GIS. Environ Pollut 268:115812

    CAS  Google Scholar 

  • Barzandeh A, Eshghi N, Hosseinibalam F, Hassanzadeh S (2018) Wind-driven coastal upwelling along the northern shoreline of the Persian Gulf. Bollettino di Geofisica Teorica ed Applicata, 59(3)

  • Bateni F, Mehdinia A, Lundin L, Hashtroudi MS (2022) Distribution, source and ecological risk assessment of polycyclic aromatic hydrocarbons in the sediments of northern part of the Persian Gulf. Chemosphere 295:133859

    CAS  Google Scholar 

  • Beegle-Krause CJ (1999) GNOME: NOAA's next-generation spill trajectory model. InOceans' 99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and Exhibition. Conference Proceedings (IEEE Cat. No. 99CH37008), vol 3. IEEE, pp 1262–1266

  • Board OS, & National Academies of Sciences, Engineering, and Medicine (2020) The use of dispersants in marine oil spill response. National Academies Press

  • BP Deepwater Horizon Accident Investigation Report, September 2010

  • Braswell AE, Leyk S, Connor DS, Uhl JH (2022) Cree** disaster along the US coastline: understanding exposure to sea level rise and hurricanes through historical development. PLoS ONE 17(8):e0269741

    CAS  Google Scholar 

  • Braulik G, Sharif R, Owfi F, Aminirad T, Hashemi Dakhteh SM, Kamrani E, Mohsenizadeh F (2010) Marine mammal records from Iran. J Cetacean Res Manage. 11(1):49–63, 200

  • Buderi CL, Ricart LT (2018) The Gulf Islands dispute in historical perspective. In The Iran-UAE Gulf Islands Dispute (pp. 70–149). Brill Nijhoff

  • Chen J, Di Z, Shi J, Shu Y, Wan Z, Song L, Zhang W (2020) Marine oil spill pollution causes and governance: a case study of Sanchi tanker collision and explosion. J Clean Prod 273:122978

    CAS  Google Scholar 

  • Chen J, Zhang W, Wan Z, Li S, Huang T, Fei Y (2019) Oil spills from global tankers: status review and future governance. J Clean Prod 227:20–32

    Google Scholar 

  • Contreras-Tereza VK, Salas-de-León DA, Monreal-Jiménez R, Monreal-Gómez MA (2021) The 2010 Gulf of Mexico oil spill: a modeling study. Arab J Geosci 14(7):636

    CAS  Google Scholar 

  • Dadashi M, Ghaffari S, Bakhtiari AR, Tauler R (2018) Multivariate curve resolution of organic pollution patterns in mangrove forest sediment from Qeshm Island and Khamir Port—Persian Gulf Iran. Environ Sci Pollut Res 25:723–735

    CAS  Google Scholar 

  • El-Kady AA, Abdel-Wahhab MA (2018) Occurrence of trace metals in foodstuffs and their health impact. Trends Food Sci Technol 75:36–45

    CAS  Google Scholar 

  • Engha Isah M, Anifowose B (2021) An analysis of the fate and trajectory simulation of bonny light crude from the Dangote Single Point Mooring (SPM) terminal off the South Atlantic Ocean, Lagos Nigeria. In International Oil Spill Conference (Vol. 2021, No. 1, p. 689260)

  • Fallahi M, Torabi Azad M, Mansoury D (2021) A hydrodynamic model of tidal current in the Strait of Hormuz. Intl J Coast Offshore Environ Eng 6(1):37–45

    Google Scholar 

  • Ferrarin C, Bellafiore D, Sannino G, Bajo M, Umgiesser G (2018) Tidal dynamics in the inter-connected Mediterranean, Marmara, Black and Azov seas. Prog Oceanogr 161:102–115

    Google Scholar 

  • Fournier M, Casey Hilliard R, Rezaee S, Pelot R (2018) Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016). WMU J Marit Aff 17:311–345

    Google Scholar 

  • Galieriková A, Materna M (2020) World seaborne trade with oil: one of main cause for oil spills? Transport Res Procedia 44:297–304

    Google Scholar 

  • Galt JA (1996) Digital distribution standard for NOAA trajectory analysis information

  • Ghaemi M, Abtahi B, Gholamipour S (2021) Spatial distribution of nutrients and chlorophyll a across the Persian Gulf and the Gulf of Oman. Ocean Coast Manag 201:105476

    Google Scholar 

  • Ghaemi M, Mohammadpour G, Hamzei S, Gholamipour S (2022) Spatial and temporal characterizations of seawater quality on marine waters area of the Persian Gulf. Region Stud Marine Sci 53:102407

    Google Scholar 

  • Ghaly MN, Badr NE, Omar MY, Amin HA (2020) Risk assessment of oil spills at Alexandria Port, Alexandria, Egypt. In Advanced intelligent systems for sustainable development (AI2SD’2019) volume 3-advanced intelligent systems for sustainable development applied to environment, industry and economy (pp. 569–585). Springer International Publishing

  • Ghanbarzad Dashti S, Farzingohar M, Souri A (2021) Temperature and salinity effects in sensitive area of Qeshm Island: mangrove forests. Intl J Coast Offshore Environ Eng 6(4):13–18

    Google Scholar 

  • Ghasemi S, Poorhashemi SA, Zare A, Farshchi P, Bavand H (2018) Geopolitical and environmental study of artificial islands in the Persian Gulf (from the perspective of international law). Ukrainian J Ecol 8(1):130–140

    Google Scholar 

  • Gholami Z, Mortazavi MS, Karbassi A (2019) Environmental risk assessment of harmful algal blooms case study: Persian Gulf and Oman Sea located at Hormozgan Province Iran. Human Ecol Risk Assess Intl J 25(1–2):271–296

    CAS  Google Scholar 

  • Gil MN, Giarratano E, Barros V, Bortolus A, Codignotto JO, Schenke RD ... Tagliorette A (2019) Southern Argentina: the Patagonian continental shelf. In World seas: an environmental evaluation (pp. 783–811). Academic Press

  • Habibi S, Behrouzi M, Nohegar A (2022) Assessment of heavy metal pollution in the mangrove forest ecosystem on Qeshm Island. Desert Ecosyst Eng 11(35):101–114

    Google Scholar 

  • Hamzeh MA (2021) Environmental implications of the distribution and physical characteristics of surface sediments in the northern Persian Gulf. Geo-Mar Lett 41(4):45

    Google Scholar 

  • Hasan A, Kamal RS, Farag RK, Abdel-Raouf ME (2024) Petroleum sludge formation and its treatment methodologies: a review. Environ Sci Pollut Res, 1–18

  • Hashempour-Baltork F, Jannat B, Tajdar-Oranj B, Aminzare M, Sahebi H, Alizadeh AM, Hosseini H (2023) A comprehensive systematic review and health risk assessment of potentially toxic element intakes via fish consumption in Iran. Ecotoxicol Environ Saf 249:114349

    CAS  Google Scholar 

  • HDOE (2009) Hormozgan Department of Environment annual report, Library Archive, HDOE, Bandar Abbas, Iran

  • Hirsch SE, Toonder M, Reilly JD, Hoover SR, Perrault JR (2022) Responses of three nesting sea turtle species to hard-armoring structures. Front Mar Sci 9:980715

    Google Scholar 

  • Hoang AT, Pham VV, Nguyen DN (2018) A report of oil spill recovery technologies. Int J Appl Eng Res 13(7):4915–4928

    Google Scholar 

  • Hodges Marc K (2001) Long-range oil spill trajectory research to determine the optimal mix of realtime, Office of Response and Restoration Hazardous Materials Response Division, International oil Spill Conference, IOSC

  • Honda M, Suzuki N (2020) Toxicities of polycyclic aromatic hydrocarbons for aquatic animals. Int J Environ Res Public Health 17(4):1363

    CAS  Google Scholar 

  • Hosseinzadeh H, Daghighi B, Rameshi H (2001) Atlas of the Persian Gulf molluscs, Iranian Fisheries Research Organization, Persian Gulf and Oman Sea Ecology Research Center, pp. 208

  • Howlett E, Jayko K, Isaji T, Anid P, Mocke G, Smit F (2008) Marine forecasting and oil spill modeling in Dubai and the Gulf region. Dubai, COPEDEC, 7

  • Hussein MS (2021) Assessment of the vulnerability of environmentally sensitive coasts to a large oil spill: the case of the northern part of the Gulf of Suez. Arab J Geosci 14(18):1899

    CAS  Google Scholar 

  • Jacketti M, Englehardt JD, Beegle-Krause CJ (2021) Bayesian sunken oil tracking with SOSim v2: inference from field and bathymetric data. Mar Pollut Bull 165:112092

    CAS  Google Scholar 

  • Ji X, Abakumov E, **e X (2019) Atmosphere–ocean exchange of heavy metals and polycyclic aromatic hydrocarbons in the Russian Arctic Ocean. Atmos Chem Phys 19(22):13789–13807

    CAS  Google Scholar 

  • Kaempf J, Sadrinasab M (2006) The circulation of the Persian Gulf: a numerical study, Ocean Science Discussions, 2, 129–164, 2005, SRef-ID: 1812–0822/osd/2005–2–129, European Geosciences Union

  • Kampouris K, Vervatis V, Karagiorgos J, Sofianos S (2021) Oil spill model uncertainty quantification using an atmospheric ensemble. Ocean Sci 17(4):919–934

    Google Scholar 

  • Keramea P, Spanoudaki K, Zodiatis G, Gikas G, Sylaios G (2021) Oil spill modeling: a critical review on current trends, perspectives, and challenges. J Marine Sci Eng 9(2):181

    Google Scholar 

  • Khalifa UQ (2019) Hydrodynamic of the sediments movement in the southern part of the Shatt al-Arab and North-Western of the Gulf. Basrah J Sci 37(2):237–251

    Google Scholar 

  • Khoshnood Z, Khoshnood R, Mokhlesi A, Ehsanpour M, Afkhami M, Khazaali A (2012) Determination of Cd, Pb, Hg, Cu, Fe, Mn, Al, As, Ni and Zn in important commercial fish species in northern of Persian Gulf, Journal of Cell and Animal Biology Vol. 6(1), pp. 1–9, 15 January, 2012. http://www.academicjournals.org/JCABhttps://doi.org/10.5897/JCAB11.078, ISSN 1996–0867 ©2012 Academic Journals. Last access July 2nd, 2012

  • Khoshnood Z, Mokhlesi A, Khoshnood R (2010) Bioaccumulation of some heavy metals and histopathological alterations in liver of Euryglossa orientalis and Psettodes erumei along North Coast of the Persian Gulf, African J Biotechnol 9(41), pp. 6966–6972, http://www.academicjournals.org/AJB

  • Khoshnoud MJ, Mobinia K, Javidnia K, Hosseinkhezri P, Aeen Jamshid K (2011) Heavy Metals (Zn, Cu, Pb, Cd and Hg) Contents and fatty acids ratios in two fish species (Scomberomorus commerson and Otolithes ruber) of the Persian Gulf, Iranian Journal of Pharmaceutical Sciences Summer 2011: 7(3): 191–196

  • Khosravi M, Siadatmousavi SM, Vennell R, Chegini V (2018) The transverse dynamics of flow in a tidal channel within a greater strait. Ocean Dyn 68:239–254

    Google Scholar 

  • Kourosh Niya A, Huang J, Kazemzadeh-Zow A, Naimi B (2019) An adding/deleting approach to improve land change modeling: a case study in Qeshm Island Iran. Arab J Geosci 12:1–17

    Google Scholar 

  • Lahiri SP, Vissa NK (2022) Assessment of Indian Ocean upwelling changes and its relationship with the Indian monsoon. Global Planet Change 208:103729

    Google Scholar 

  • Lemos AT, Soares ID, Ghisolfi RD, Cirano M (2009) Oil spill modeling off the Brazilian eastern coast: the effect of tidal currents on oil fate. Revista Brasileira De Geofísica 27:625–639

    Google Scholar 

  • l’Hégaret P, Marez CD, Morvan M, Meunier T, Carton X (2021) Spreading and vertical structure of the Persian Gulf and Red Sea outflows in the northwestern Indian Ocean. J Geophys Res Oceans 126(4):e2019JC015983

  • Li S (2017) Evaluation of new Weathering algorithms for oil spill modeling

  • Li X, Liu H, Tian Y, Xue Y, Yu Y (2023) Decision support multi-agent modeling and simulation of aeronautic marine oil spill response. In Advanced intelligent virtual reality technologies: proceedings of 6th international conference on artificial intelligence and virtual reality (AIVR 2022) (pp. 19–34). Singapore: Springer Nature Singapore.

  • Lighthill MJ (1978) Waves in fluids. Press Syndicate University of Cambridge New York, New York

    Google Scholar 

  • MacFadyen A, Barker CH (2016) The General NOAA Operational Modeling Environment (GNOME)-development and applications. Am Geophys Union, 2016, PO14B-2793

  • Mahmoud AR, Keshawy M, Abdel-Raouf MES. (2021) Organogels as oil sorbers for oil spill treatment. In Sorbents materials for controlling environmental pollution (pp. 387–413). Elsevier

  • Manning J, Verfaillie M, Barker C, Berg C, MacFadyen A, Donnellan M ... Kinner N (2021) Responder needs addressed by arctic maritime oil spill modeling. J Marine Sci Eng, 9(2), 201

  • Martins de Aguiar VC, Dagestad KF, Hole LR, Barthel KS (2022) Quantitative assessment of two oil-in-ice surface drift algorithms

  • Mehrfar H, Raeisi A, Azad MT, Reisosadat SMR (2023) Numerical study of the effects of coastal currents and meso-scale eddies on the spread of pollution in the Persian Gulf. Intl J Environ Sci Technol, 1–18

  • Meza-Padilla R, Enriquez C, Appendini CM (2021) Rapid assessment tool for oil spill planning and contingencies. Mar Pollut Bull 166:112196

    CAS  Google Scholar 

  • Naqvi SWA (2021) Deoxygenation in marginal seas of the Indian Ocean. Front Mar Sci 8:624322

    Google Scholar 

  • NOAA (2002a) User’s guide of GNOME for Regional Organization for of the Protection of the Marine Environment (ROPME), Office of Response and Restoration, National Ocean Service, National Oceanic and Atmospheric Administration. https://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/response-tools/gnome-location-files-international.html

  • NOAA (2002b). HAZMAT modeling products for spill response and planning, NOAA Ocean Service, Hazardous Materials Response Division, OR&R. National Oceanic and Atmospheric Administration

  • NOAA (2002c) GNOME user’s manual 2002. Hazardous Materials Response Division, Office of Response and Restoration, National Oceanic and Atmospheric Administration. pp 91. https://response.restoration.noaa.gov/oil-and-chemical-spills/oil-spills/resources/gnome-users-manual-and-tour.html

  • NOAA (2012) book_shelf/81_Gnome_ ROPME_UG/. http://response.restoration.noaa.gov/book_shelf/81_Gnome_ROPME_UG.pdf

  • Noori R, Tian F, Berndtsson R, Abbasi MR, Naseh MV, Modabberi A ... Kløve B (2019) Recent and future trends in sea surface temperature across the Persian Gulf and Gulf of Oman. PloS one, 14(2), e0212790

  • Nozarpour R, Shojaei MG, Naderloo R, Nasi F (2023) Crustaceans’ functional diversity in mangroves and adjacent mudflats of the Persian Gulf and Gulf of Oman. Mar Environ Res 186:105919

    CAS  Google Scholar 

  • Oil testing and spill modeling. 2009. www.slross.com/modeling/modelingcontent. php. Last access June 20th 2012

  • Omar MY, Mostafa AR, Amin HA, Darwesh SM (2020) Oil spill modeling at Sidi Kreir SUMED oil terminal, Alexandria, Egypt. In Advanced intelligent systems for sustainable development (AI2SD’2019) volume 4-advanced intelligent systems for applied computing sciences (pp. 331–341). Springer International Publishing

  • Omar MY, Shehada MF, Mehanna AK, Elbatran AH, Elmesiry MM (2021) A case study of the Suez Gulf: modelling of the oil spill behavior in the marine environment. Egypt J Aquat Res 47(4):345–356

    Google Scholar 

  • Pasalari N, Ghaffari HR, Borzoei M, Kamari Z, Mehri F, Fakhri Y ... Mousavi Khaneghah A (2023) Potentially toxic elements (PTES) concentration in anchovy fish sauce from Hormozgan province, Iran: a probabilistic health risk study. International Journal of Environmental Analytical Chemistry, 1–16

  • Persian Gulf Studies Center. (2008). http://persiangulfstudies.com/en/index.asp?p=pages&ID=225, Last access June 20th, 2012

  • Pokazeev K, Sovga E, Chaplina T, Pokazeev K, Sovga E, Chaplina T (2021) Numerical modeling of the hydrocarbon spot shape on the water surface. Pollution in the Black Sea: Observations about the Ocean’s Pollution, 37–44

  • Pradhan B, Das M, Pradhan C (2021) Forecasting oil spill movement through trajectory modeling: a case study from Bay of Bengal, India. Model Earth Syst Environ 7:1107–1119

    Google Scholar 

  • Pradhan B, Das M, Pradhan C (2022) Trajectory modelling for hypothetical oil spill in Odisha offshore India. J Earth Syst Sci 131(4):205

    Google Scholar 

  • Queste BY, Vic C, Heywood KJ, Piontkovski SA (2018) Physical controls on oxygen distribution and denitrification potential in the north west Arabian Sea. Geophys Res Lett 45(9):4143–4152

    CAS  Google Scholar 

  • Ramyar M, Halim N (2020) Tourist expectation and satisfaction towards existing infrastructure and facilities in Golestan National Park Iran. Am Res J Humanit Soc Sci 3:89–108

    Google Scholar 

  • Ravanbakhsh M, Javid AZ, Hadi M, Fard NJH (2020) Heavy metals risk assessment in fish species (Johnius belangerii (C) and Cynoglossus arel) in Musa Estuary Persian Gulf. Environ Res 188:109560

    CAS  Google Scholar 

  • Reddy G, Brunet M (1997) B Numerical simulation of oil slick movement in Gabes Estuary, [Transoft International. EPINAY/SEINE Cedex, France

  • Reefbase Organization (2011) http://reefgis.reefbase.org. Last access: 2nd March 2011

  • Rezaei M, Kafaei R, Mahmoodi M, Sanati AM, Vakilabadi DR, Arfaeinia H ... Boffito DC (2021) Heavy metals concentration in mangrove tissues and associated sediments and seawater from the north coast of Persian Gulf, Iran: Ecological and health risk assessment. Environ Nanotechnol Monit Manage, 15, 100456

  • Rezaie-Atagholipour M, Imani F, Ghezellou P, Seminoff JA (2021) Feeding ecology of juvenile green turtles in food-poor habitats of the Persian Gulf. Mar Biol 168(1):4

    Google Scholar 

  • Sabbagh-Yazdi SR, Zounemat-Kermani M (2007) Numerical Investigation of Island Effects on Depth Averaged Fluctuating Flow in the Persian Gulf. IJE Transactions A: Basics, 118 - 20(2)

  • Salarpouri A, Kamrani E, Kaymaram F, Mahdavi Najafabadi R (2018) Essential fish habitats (EFH) of small pelagic fishes in the north of the Persian Gulf and Oman Sea Iran. Iran J Fish Sci 17(1):74–94

    Google Scholar 

  • Sharifi N, Danehkar A, Robati M, Khorasani NA, Rajaee T (2021) Develo** decision algorithm for determination of protection zones in protected areas (case study: Hara Protected Area). Int J Environ Sci Technol 18(8):2237–2250

    Google Scholar 

  • Sharifinia M, Afshari Bahmanbeigloo Z, Smith WO Jr, Yap CK, Keshavarzifard M (2019) Prevention is better than cure: Persian Gulf biodiversity vulnerability to the impacts of desalination plants. Glob Change Biol 25(12):4022–4033

    Google Scholar 

  • Shen HT, Yapa PD, Mark EP (1987) A simulation model for oil slick transport in lakes. Water Resour Res 23:1949–1956

    CAS  Google Scholar 

  • Tohnain F (2021) Trajectory analysis of oil spill at the Gulf of Guinea: case of Cameroon-Kribi. Am J Environ Stud 4(1):54–75

    Google Scholar 

  • Toz AC, Buber M (2018) Performance evaluation of oil spill software systems in early fate and trajectory of oil spill: comparison analysis of OILMAP and PISCES 2 in Mersin Bay spill. Environ Monit Assess 190:1–18

    Google Scholar 

  • Toz AC, Koseoglu B (2018) Trajectory simulation of oil spill with Pisces 2 around Bay of Izmir, Turkey. Mar Pollut Bull 126:215–227

    CAS  Google Scholar 

  • UNESCO, website (2007) http://whc.unesco.org/en/tentativelists/5215/. Last access: March 15th, 2011

  • Verfaillie M (2021) Oil spill modeling for improved response to Arctic maritime spills: the Path forward (Doctoral dissertation, University of New Hampshire)

  • Wang S, Zhou F, Chen F, Meng Y, Zhu Q (2021) Spatiotemporal distribution characteristics of nutrients in the drowned tidal inlet under the influence of tides: a case study of zhanjiang bay, China. Int J Environ Res Public Health 18(4):2089

    CAS  Google Scholar 

  • Yang Z, Chen Z, Lee K (2023) Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method. Mar Pollut Bull 188:114696

    CAS  Google Scholar 

  • Yapa PD, Chen FH (2004) Behavior of oil and gas from deepwater blowouts. Journal of Hydraulic Engineering, ASCE, June, 540–553

  • Zaynab M, Al-Yahyai R, Ameen A, Sharif Y, Ali L, Fatima M ... Li S (2022) Health and environmental effects of heavy metals. J King Saud Univ Sci, 34(1), 101653

  • Zodiatis G, Lardner R, Liubartseva S, Sylaios G, Palazov A, Kubryakov A, Ciliberti SA et al. (2022) Numerical models for oil spillages in the Black Sea and the adjacent sea of Azov

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Funding

Financial support and research facilities were provided by the University of Hormozgan, USM, and UMT. The INOS Higher Institution of Centre of Excellence (UMT-LRGS (56041)) partially supported the extension of the study.

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Methodology, M.F. and M.B.; software, M.F. and M.B.; validation, M.F., M.B., and Z.Z.I.; formal analysis, M.F. and M.B.; investigation, M.F. and M.B.; resources, M.F. and M.B.; data curation, M.F., M.B., and Z.Z.I.; writing original draft preparation, M.F. and Z.Z.I; visualization, M.F. and M.B.; supervision, M.F., M.B., and Z.Z.I.; project administration, M.F. and M.B.; funding acquisition, M.F., Z.Z.I., and M.F.A.; supervision, M.F., M.B., and Z.Z.I; writing, review, and editing, M.F., M.B., I.G., and M.F.A. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Milad Bagheri.

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Farzingohar, M., Bagheri, M., Gholami, I. et al. Map** pollution dynamics: utilizing GNOME to model oil spill trajectories in tanker terminals. Environ Sci Pollut Res 31, 37404–37427 (2024). https://doi.org/10.1007/s11356-024-33506-4

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  • DOI: https://doi.org/10.1007/s11356-024-33506-4

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