Determination of shoreline sensitivity to oil spills by use of GIS and fuzzy model. Case study – The coastal areas of Caspian Sea in north of Iran

Vafai, Freydoon; Hadipour, Vahid; Hadipour, Abouzar

doi:10.1016/j.ocecoaman.2012.05.033

Cited by 31 publications

(10 citation statements)

References 10 publications

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“…In this regard, Lewis et al (2014) indicates that the "GAMMA function provides the best combination of evidence while other overlay methods gave too much weight to single variables at a given location while downplaying others". Further discussion on the relative merits of using the GAMMA function for aggregating multiple sources of information can be found in (Ki and Ray 2014;Malins and Metternicht 2006;Vafai et al 2013). In fuzzy GAMMA, when the gamma (γ) value is set near to 1 the result is more similar to a fuzzy SUM, whilst when GAMMA is set near to 0 the result is similar to a fuzzy PRODUCT.…”

Section: Aggregation Of Indicatorsmentioning

confidence: 99%

Assessing urban adaptive capacity to climate change

Araya-Muñoz

Metzger

Stuart

et al. 2016

Journal of Environmental Management

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Section: Aggregation Of Indicatorsmentioning

confidence: 99%

Assessing urban adaptive capacity to climate change

Araya-Muñoz

Metzger

Stuart

et al. 2016

Journal of Environmental Management

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“…In the vulnerability evaluation under oil spill stress on the national scale, Nuanchan Singkran [10] took passing density, traffic volume, wharf distribution, and other factors into consideration. In 2013, Freydoon et al [11] assessed the possible coastal zones that oil spill incidents may endanger and selected physical indicators, biological indicators, socio-economic indicators, and so on, along the coast to construct the vulnerability assessment index system. The researchers also constructed a fuzzy multi-index decision model based on fuzzy assemblage theory, analysis of hierarchy-based structure, and APH theory and used the GIS system to map the distribution of oil spill sensitivity in the coastal zone of Northern Iranian Mazandaran.…”

Section: Open Accessmentioning

confidence: 99%

Assessment of Ecological Vulnerability under Oil Spill Stress

Cai

Yan

et al. 2015

Sustainability

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Using the constituent elements of vulnerability, an evaluation index system for the ecological vulnerability of coastal areas under oil spill stress is established based on "Sensitivity-Adaptive Capacity-Exposure". After selecting a gulf in China as the main case study in this work, the cluster analysis and reference method were applied in grading and value assigning for all indexes. In addition, the analytic hierarchy process and expert evaluation method were used to determine the index weighting. Finally, a comprehensive evaluation method was adopted in the evaluation studies on the ecological vulnerability of the gulf coastal zone under oil spill stress. Results show the differences between the gulf area and areas that belong to different ecologically-vulnerable areas under oil spill stress.

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“…Recent reports on oceanic oil spills have highlighted the devastating effect that these events can have on the environment and their subsequent economic consequences [1]. The dependence that human populations have for oil ensures that its extraction will be a result of deeper drilling, and other forms of hazardous abstraction methods.…”

Section: Introductionmentioning

confidence: 99%

Superhydrophobic silica wool—a facile route to separating oil and hydrophobic solvents from water

Crick

Bhachu

Parkin

2014

Science and Technology of Advanced Materials

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Silica microfiber wool was systematically functionalized in order to provide an extremely water repellent and oleophilic material. This was carried out using a two-step functionalization that was shown to be a highly effective method for generating an intense water repulsion and attraction for oil. A demonstration of the silica wools application is shown through the highly efficient separation of oils and hydrophobic solvents from water. Water is confined to the extremities of the material, while oil is absorbed into the voids within the wool. The effect of surface functionalization is monitored though observing the interaction of the material with both oils and water, in addition to scanning electron microscope images, x-ray photoelectron spectroscopy and energy dispersive x-ray analysis. The material can be readily utilized in many applications, including the cleaning of oil spills and filtering during industrial processes, as well as further water purification tasks—while not suffering the losses of efficiency observed in current leading polymeric materials.

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Determination of shoreline sensitivity to oil spills by use of GIS and fuzzy model. Case study – The coastal areas of Caspian Sea in north of Iran

Cited by 31 publications

References 10 publications

Assessing urban adaptive capacity to climate change

Assessing urban adaptive capacity to climate change

Assessment of Ecological Vulnerability under Oil Spill Stress

Superhydrophobic silica wool—a facile route to separating oil and hydrophobic solvents from water

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