气候变化领域集成服务门户(CCPortal): Categorization of nearshore sampling data using oil slick trajectory predictions

CCPortal

DOI	10.1016/j.marpolbul.2019.110577
	Categorization of nearshore sampling data using oil slick trajectory predictions
	Montas L.; Ferguson A.C.; Mena K.D.; Solo-Gabriele H.M.
发表日期	2020
ISSN	0025326X
卷号	150
英文摘要	Oil Spill Chemicals (OSCs) represent a risk to the environment and human health, especially in nearshore environments used for recreational purposes. Importantly, the starting point for human health risk assessment is to define the concentration of OSCs at nearshore locations. The objective of this study was to evaluate nearshore sampling data of OSC concentrations in different environmental matrices within time-space specific categories. The categories correspond to OSC concentration values for samples collected prior to nearshore oiling, post nearshore oiling and at no time impacted by oil as predicted by historic oil spill trajectories generated by an Oil Spill Trajectory Model. In general, concentration values for the post category were higher than prior which were higher than unimpacted. Results show differences in PAH concentration patterns within each matrix and for each category. Concentration frequency distributions for most chemicals in each category were log-normally distributed. © 2019 Elsevier Ltd
英文关键词	Chemical distributions; Human health; Marine oil spills; PAHs
语种	英语
scopus关键词	Coastal engineering; Health; Health risks; Marine pollution; Matrix algebra; Normal distribution; Oil spills; Risk assessment; Trajectories; Chemical distributions; Concentration patterns; Environmental matrixes; Frequency distributions; Human health; Human health risk assessment; Marine oil spills; Trajectory prediction; Polycyclic aromatic hydrocarbons; concentration (composition); environmental risk; health risk; health status; marine pollution; nearshore environment; oil spill; PAH; prediction; article; concentration (parameter); human; oil spill; prediction; environmental monitoring; oil spill; water pollutant; water pollution; petroleum; Environmental Monitoring; Humans; Petroleum; Petroleum Pollution; Water Pollutants, Chemical; Water Pollution, Chemical
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149345
作者单位	University of Miami, Coral Gables, FL, United States; North Carolina A&T, Greensboro, NC, United States; UTHealth School of Public Health, Houston, TX, United States
推荐引用方式 GB/T 7714	Montas L.,Ferguson A.C.,Mena K.D.,et al. Categorization of nearshore sampling data using oil slick trajectory predictions[J],2020,150.
APA	Montas L.,Ferguson A.C.,Mena K.D.,&Solo-Gabriele H.M..(2020).Categorization of nearshore sampling data using oil slick trajectory predictions.Marine Pollution Bulletin,150.
MLA	Montas L.,et al."Categorization of nearshore sampling data using oil slick trajectory predictions".Marine Pollution Bulletin 150(2020).