Environmental Risk Evaluation System—an Approach to Ranking Risk of Ocean Energy Development on Coastal and Estuarine Environments

Copping, Andrea; Hanna, Luke A.; Cleve, Brie Van; Blake, Kara M.; Anderson, Richard M.

doi:10.1007/s12237-014-9816-3

Cited by 21 publications

(9 citation statements)

References 40 publications

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“…Trawling impacts not only the target species but also negatively impacts the benthic habitats upon which many species rely (Hiddink et al 2011). New technologies have allowed energy exploration to expand into deeper waters and more remote areas (Copping et al 2015). The global nature of today's economy has led to more shipping and to increases in the introduction of non-native species that often negatively impact the ecosystems to which they have been introduced (Briski et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Genetic assignment to stock of stranded common bottlenose dolphins in southeastern Louisiana after the Deepwater Horizon oil spill

Rosel¹,

Wilcox²,

Sinclair³

et al. 2017

Endang. Species. Res.

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Degradation of marine ecosystems is an increasing problem and extends beyond nearshore coastal waters with significant human development. However, measuring ecosystem damage and decreased ecosystem function can be difficult. Marine mammals have often been recommended as indicators for evaluating ecosystem health. Between March 2010 and July 2014, a significant cetacean unusual mortality event occurred across the northern Gulf of Mexico, where multiple demographically independent populations of common bottlenose dolphins Tursiops truncatus occur adjacent to one another. Some populations are fairly small and restricted to small habitat areas, while other populations have higher abundances and cover broader geographic ranges. An integral component to determining the impact of this event on these populations is identifying what percentage of each population the stranded animals comprise. We applied genetic assignment test methods to stranded dolphins from southeastern Louisiana to determine the proportion of dead dolphins that came from the local estuarine population versus the population found in adjacent coastal waters. Forty-one microsatellite loci were genotyped in 156 live dolphins sampled to represent the 2 potential stocks of origin and in 131 dead stranded dolphins of unknown origin. Both classical assignment tests and genetic stock identification methods indicated that approximately 6 to 7% of the sampled stranded dolphins originated from the Western Coastal Stock and the remainder from the smaller, estuarine stock in Barataria Bay, Louisiana.

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Section: Introductionmentioning

confidence: 99%

Genetic assignment to stock of stranded common bottlenose dolphins in southeastern Louisiana after the Deepwater Horizon oil spill

Rosel¹,

Wilcox²,

Sinclair³

et al. 2017

Endang. Species. Res.

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“…WEC arrays have the potential to alter nearshore wave propagation and circulation patterns and possibly modify sediment transport patterns (e.g., Gonzalez-Santamaria et al, 2013), which could have detrimental effects on ecological processes and local socioeconomic services. To help accelerate the realization of commercial-scale wave power, it is necessary to evaluate the potential environmental effects of WEC arrays and inform environmental assessments associated with the regulatory process (e.g., Copping et al, 2014;Leeney et al, 2014;Tiron et al, 2015). At present, due to the lack of deployed WEC farms, direct measurements of the effects of WEC arrays on nearshore wave propagation are not available.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of the effects of wave energy converter characteristics on nearshore wave conditions

et al. 2016

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Modeled nearshore wave propagation was investigated downstream of simulated wave energy converters (WECs) to evaluate overall near-and far-field effects of WEC arrays. Model sensitivity to WEC characteristics and WEC array deployment scenarios was evaluated using a modified version of an industry standard wave model, Simulating WAves Nearshore (SWAN), which allows the incorporation of device-specific WEC characteristics to specify obstacle transmission. The sensitivity study illustrated that WEC device type and subsequently its size directly resulted in wave height variations in the lee of the WEC array. Wave heights decreased up to 30% between modeled scenarios with and without WECs for large arrays (100 devices) of relatively sizable devices (26 m in diameter) with peak power generation near to the modeled 2 incident wave height. Other WEC types resulted in less than 15% differences in modeled wave height with and without WECs, with lesser influence for WECs less than 10 m in diameter. Wave directions and periods were largely insensitive to changes in parameters. However, additional model parameterization and analysis are required to fully explore the model sensitivity of peak wave period and mean wave direction to the varying of the parameters.

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“…Many researchers and scholars in the fields of environmental health sciences or public health sciences have done a lot of work to study the damage to human beings caused by environmental pollution, analyzing the reasons and trying to find pollution reduction methods [ 43 , 44 , 45 , 46 , 47 ]. However, many of them have met with the difficulties of lack of data, like observations of ocean pollution or air quality, in time.…”

Section: An Illustrated Examplementioning

confidence: 99%

Multiple Attribute Group Decision-Making Methods Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Partitioned Bonferroni Mean Aggregation Operators

Yin

Yang

2018

IJERPH

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In this paper, we investigate multiple attribute group decision making (MAGDM) problems where decision makers represent their evaluation of alternatives by trapezoidal fuzzy two-dimensional uncertain linguistic variable. To begin with, we introduce the definition, properties, expectation, operational laws of trapezoidal fuzzy two-dimensional linguistic information. Then, to improve the accuracy of decision making in some case where there are a sort of interrelationship among the attributes, we analyze partition Bonferroni mean (PBM) operator in trapezoidal fuzzy two-dimensional variable environment and develop two operators: trapezoidal fuzzy two-dimensional linguistic partitioned Bonferroni mean (TF2DLPBM) aggregation operator and trapezoidal fuzzy two-dimensional linguistic weighted partitioned Bonferroni mean (TF2DLWPBM) aggregation operator. Furthermore, we develop a novel method to solve MAGDM problems based on TF2DLWPBM aggregation operator. Finally, a practical example is presented to illustrate the effectiveness of this method and analyses the impact of different parameters on the results of decision-making.

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Environmental Risk Evaluation System—an Approach to Ranking Risk of Ocean Energy Development on Coastal and Estuarine Environments

Cited by 21 publications

References 40 publications

Genetic assignment to stock of stranded common bottlenose dolphins in southeastern Louisiana after the Deepwater Horizon oil spill

Genetic assignment to stock of stranded common bottlenose dolphins in southeastern Louisiana after the Deepwater Horizon oil spill

Numerical modeling of the effects of wave energy converter characteristics on nearshore wave conditions

Multiple Attribute Group Decision-Making Methods Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Partitioned Bonferroni Mean Aggregation Operators

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