Oil Spill Simulation and Validation in the Arabian (Persian) Gulf with Special Reference to the UAE Coast

Elhakeem, A. A.; Elshorbagy, Walid; Chebbi, Rachid

doi:10.1007/s11270-007-9413-1

Cited by 57 publications

(27 citation statements)

References 9 publications

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“…According to the calculations, the most risky scenario in the risk map is a refined oil with a spill size greater than 500 tones, unfavourable weather condition with wind speed greater than 14 [m/sec], and is located in passengers quay and happens in spring. The high risk zones are related to the north west of the Persian Gulf near the islands of Khark, Daylam, and Bahregan and also, in the east of the Persian Gulf near the islands of Siri, Kish, and Lavan [15][16][17].…”

Section: Application Of Genetic Algorithm and Analytic Hierarchy Procmentioning

confidence: 99%

Application of Genetic Algorithm and Analytic Hierarchy Process to Generate an Oil Spill Risk Map

Badri¹,

Sedaghat²

2017

JAMB

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Extracting and transporting a significant amount of oil and gas from the Persian Gulf have brought devastating damages to marine environment due to oil spills and water pollution. The oil spill in water brings damages to the ecosystem, coastline businesses and human health; particularly to fishery and tourism activities. Hence, it is a crucial task to model oil spill damages and evaluate risks. By identifying the oil slick behaviour and considering the velocity and cleaning capacity of oil cleaning vessels, the genetic algorithm (GA) was used to obtain the optimum placement of the vessels for several oil spill scenarios. Meanwhile, six major risks of damages were identified for the Persian Gulf in terms of marine ecosystem, tourism, fisheries, beach entry bans, commercial and transit ports closures. All these factors were systematically analyzed using analytic hierarchy process (AHP). AHP provided a quantitative analysis of probabilities of hazards, financial losses and environmental damages. Based on location, volume of oil spill, weather condition and optimum placement of oil cleaning vessels, the risk map of oil spill in the Persian Gulf was developed and the effects of each major risk and overall risks were assessed.

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Section: Application Of Genetic Algorithm and Analytic Hierarchy Procmentioning

confidence: 99%

Application of Genetic Algorithm and Analytic Hierarchy Process to Generate an Oil Spill Risk Map

Badri¹,

Sedaghat²

2017

JAMB

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“…Amplitudes and phases of the four major tidal constituents M 2 , S 2 , O 1 , K 1 , prescribed at the open eastern boundary, were extracted from Elhakeem et al [20] (Table 1) …”

Section: Input Datamentioning

confidence: 99%

Numerical modelling of salinity variations due to wind and thermohaline forcing in the Persian Gulf

Hassanzadeh

Hosseinibalam

Rezaei-Latifi

2011

Applied Mathematical Modelling

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a b s t r a c tSalinity is an important component of the marine system. Due to shallow nature of the Persian Gulf, the salinity has been influenced by both wind driven and surface thermohaline fluxes (heat and moisture fluxes). In this study, the seasonal distribution of salinity and its variations due to wind stress and thermohaline forcing are investigated by using a three-dimensional hydrodynamic model, Coupled Hydrodynamical-Ecological Model for Regional and Shelf Seas (COHERENS). The simulation results show that the salinity in the Persian Gulf experiences dramatic spatial and temporal variations. The influence of the thermohaline forcing is considerably more than the wind stress on the salinity. The effect of the surface thermohaline fluxes over the salinity field is generally to increase the salinity for almost all the water column during the year. This effect is high during SeptemberNovember where the evaporative surface salinity flux dominates over inflow of lowsalinity values of Indian Ocean Surface Water. The wind forcing at the most regions of the Persian Gulf, in particular at the United Arab Emirate (UAE) coast and Bahrain-Qatar shelf, freshens the water all the year round. The wind and thermohaline forcing in March-June have strong potential to generate stratification in salinity structure. The model predictions, which are successful in simulating many features of observed pattern, indicate that the surface water of the Gulf is saltier in winter than that in spring and early summer. Both heat fluxes and wind stress play an important role for this seasonal cycle of the surface salinity.

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“…Due to a large number of oil resources and heavy tanker traffic, the potential for oil pollution is high. Elhakeem et al (2007) presented the results of simulation of Al-Ahmadi historical oil spill crisis in the Persian Gulf using MIKE3-SA. They employed a 3-D rectilinear hydrodynamic model combined with oil spill model.…”

Section: Introductionmentioning

confidence: 99%

Environmental Consequences of Oil Blowout from Subsea Pipeline, A Case Study in the Persian Gulf

2016

3rd International Conference on Civil, Biological and Environmental Engineering (CBEE-2016) Feb. 4-5, 2016 Bali (Indonesia)

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Abstract-Modeling of oil blowout from the Khark island pipelines in the Persian Gulf has been carried out to evaluate environmental consequences including the oil pollution effects on the coast, seabed and most importantly Khark area aquatic, the prawns. The analyses have been carried out with the SINTEF Oil Spill Contingency and Response (OSCAR) 3-dimensional model system. Results related to scenarios demonstrate that wind is the major agent for advection and spreading of oil in the area. Due to wind conditions in Khark area, the Khark South-East coast has the maximum oil contamination potential. A significant part of the oil will pollute the environment by dispersing in the water column, being deposited on the seabed and hitting the Khark coast. In conclusion, the hypothetical spilled oil extremely threats the Khark area environment and specially the prawns.

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Oil Spill Simulation and Validation in the Arabian (Persian) Gulf with Special Reference to the UAE Coast

Cited by 57 publications

References 9 publications

Application of Genetic Algorithm and Analytic Hierarchy Process to Generate an Oil Spill Risk Map

Application of Genetic Algorithm and Analytic Hierarchy Process to Generate an Oil Spill Risk Map

Numerical modelling of salinity variations due to wind and thermohaline forcing in the Persian Gulf

Environmental Consequences of Oil Blowout from Subsea Pipeline, A Case Study in the Persian Gulf

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