Some aspects of the Castillo de Bellver oilspill

Moldan, Anton; Jackson, L.F.; McGibbon, S.; Westhuizen, J. Van Der

doi:10.1016/0025-326x(85)90530-2

Cited by 21 publications

(6 citation statements)

References 3 publications

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“…This supports previous research findings that the direct impact and compensation of oil spills have a significant impact on the public perceptions to the institutions driving the response policy [6]. Actually, historic oil spills have indicated that commercial fisheries and aquaculture generally suffer damages from such incidents [1,41]. In particular, fishermen's economic activities are conducted on the fishing grounds and fish farms in the coastal areas of Korea, which is the 18th largest producer of seafood in the world [42].…”

Section: Public Perceptions Of Oil Spills and Their Impact On Policy ...supporting

confidence: 88%

Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis

Chun

Oh²,

Kim

2020

JMSE

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Oil spills cause socioeconomic and ecological damage to the marine environment and local communities. Implementing policies to effectively cope with such incidents is a challenging task due to the negative public perceptions about governmental responses. Using social big data, this study analyzed such negative perceptions in South Korea and the factors influencing them. The findings indicate that the public pays relatively little attention to oil spills but expresses serious concerns about the economic and ecological damage and the health and safety of volunteers and local residents. To improve public perception of oil spills, response strategies should aim to (1) analyze it using social big data to reduce the gap between governmental and public spheres, (2) release timely and accurate information to resolve civil distrust and dissatisfaction, (3) minimize direct damage to local communities and ecosystems affected by oil spills, and (4) reduce the impact on volunteers’ and local residents’ health and safety. Furthermore, through a multidisciplinary approach that combines social big data analysis methods with marine scientific research, it can contribute to creating a disaster response policy tailored to policy consumers.

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Section: Public Perceptions Of Oil Spills and Their Impact On Policy ...supporting

confidence: 88%

Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis

Chun

Oh²,

Kim

2020

JMSE

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“…Commercial fisheries and aquaculture businesses are usually affected by loss of product, caused by direct mortality or habitat loss, or by loss of access caused by harvesting bans and closures (Moldan et al 1985, Grigalunas et al 1986, Goodlad 1996, Martin 1999, Moller et al 1999, Punzón et al 2009). Losses are also incurred because of a decline in market demand amid fears of tainted products (Moncrieff and Simpson 1993, Pearson et al 1998, Garza-Gil et al 2006, Surís-Regueiro et al 2007, Cheong 2012.…”

Section: Economy and Policymentioning

confidence: 99%

Consequences of oil spills: a review and framework for informing planning

Chang¹,

Stone²,

Demes³

et al. 2014

E&S

257

132

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ABSTRACT. As oil transportation worldwide continues to increase, many communities are at risk of oil spill disasters and must anticipate and prepare for them. Factors that influence oil spill consequences are myriad and range from the biophysical to the social. We provide a summary literature review and overview framework to help communities systematically consider the factors and linkages that would influence consequences of a potential oil spill. The focus is on spills from oil tanker accidents. Drawing primarily on empirical studies of previous oil spill disasters, we focused on several main domains of interest: the oil spill itself, disaster management, the physical marine environment, marine biology, human health, economy, and policy. Key variables that influence the severity of consequences are identified, and significant interactions between variables are delineated. The framework can be used to clarify the complexity of oil spill impacts, identify lessons that may be transferable from other oil spill disasters, develop scenarios for planning, and inform risk analysis and policy debates in localities that are seeking to understand and reduce their vulnerability to potential spill disasters. As a case study, the framework is used to consider potential oil spills and consequences in Vancouver, Canada. Major increases in oil tanker traffic are anticipated in this region, creating urgent new demands for risk information, disaster management planning, and policy responses. The case study identifies particular conditions that distinguish the Vancouver context from other historic events; in particular, proximity to a densely populated urban area, the type of oil being transported, financial compensation schemes, and local economic structure. Drawing lessons from other oil spill disasters is important but should be undertaken with recognition of these key differences. Some types of impacts that have been relatively inconsequential in previous events may be very significant in a Vancouver case.

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“…Although some studies show no obvious influence of oil spills on phytoplankton, especially on community structure (Moldan et al 1985;Varela et al 2006) many other studies found important influence of oil spills on marine phytoplankton. In a short term, the concentrations of phytoplankton reduced, and in the long term, outbreak of algal blooms occurred when the Chlorophyll-a (Chl-a) concentration increased (Lee et al 2009;Sheng et al 2011;Pan et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Ecological response of phytoplankton to the oil spills in the oceans

Tang

Sun

Zhou

et al. 2019

Geomatics, Natural Hazards and Risk

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Oil spills in oceans have substantial influence on marine ecosystems. This study investigates 21 oil spills in the world. Analyzing Chlorophyll-a (Chl-a) from Moderate Resolution Imaging Spectroradiomerer (MODIS) data after Penglai oil spills on 4 June 2011, found a bloom with peak value of Chl-a (13.66 mg m À3 ) spread over an area of 800 km 2 during 18-25 June 2011, and a pronounced increase in the monthly Chl-a concentration (6.40 mg m À3 ) on June 2012 in the Bohai Sea. Out of the 21 oil spills, 14 blooms were observed, while 11 blooms associated with oil spills in the time interval of 3-10 months. In total, about 75% blooms occurred during June-August. Among all 14 blooms, 72% appeared when temperature was warm (20-30 C), 7% appeared when temperature was low (10-20 C), and the remaining 21% occurred when temperature was lower than 10 C. This research concludes that the odds of a phytoplankton bloom after an oil spillage are higher at the time of higher temperature (>20 C). The short-term impact of the oil spills on ecosystem could mainly depend on the quantity and composition of oil, while the longterm impact of the oil spills on ecosystem could be related to biodegradation of microorganisms.

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Some aspects of the Castillo de Bellver oilspill

Cited by 21 publications

References 3 publications

Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis

Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis

Consequences of oil spills: a review and framework for informing planning

Ecological response of phytoplankton to the oil spills in the oceans

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