This paper examines the use of exploratory spatial analysis for identifying hotspots of shipping-based oil pollution in the Pacific Region of Canada's Exclusive Economic Zone. It makes use of data collected from fiscal years 1997/1998 to 2005/2006 by the National Aerial Surveillance Program, the primary tool for monitoring and enforcing the provisions imposed by MARPOL 73/78. First, we present oil spill data as points in a "dot map" relative to coastlines, harbors and the aerial surveillance distribution. Then, we explore the intensity of oil spill events using the Quadrat Count method, and the Kernel Density Estimation methods with both fixed and adaptive bandwidths. We found that oil spill hotspots where more clearly defined using Kernel Density Estimation with an adaptive bandwidth, probably because of the "clustered" distribution of oil spill occurrences. Finally, we discuss the importance of standardizing oil spill data by controlling for surveillance effort to provide a better understanding of the distribution of illegal oil spills, and how these results can ultimately benefit a monitoring program.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.marpolbul.2008.02.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Degradation of anthracene and phenanthrene by strain Streptomyces sp. M-1 and its application in the treatment of PAHs-contaminated water.
J Environ Manage
January 2025
State Key Laboratory of Heavy Oil Processing and Centre for Bioengineering and Biotechnology, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China. Electronic address:
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants with mutagenicity, carcinogenicity and teratogenicity, widely distributed in the environment. Effective biodegradation of PAHs is highly required, especially in wastewater. An efficient PAHs degrading strain Streptomyces sp.
View Article and Find Full Text PDFBackground: Household air pollution is a major contributor to cardiovascular disease burden in women in Sub-Saharan Africa. However, little is known about exposures during pregnancy or the effect of clean cooking interventions on postpartum blood pressure trajectories.
Methods: The Ghana Randomized Air Pollution and Health Study (GRAPHS) randomized 1414 non-smoking women in the first and second trimesters to liquefied petroleum gas (LPG) or improved biomass stoves - vs control (traditional three-stone open fire).
'Neither here nor there'? Meiofauna as an effective tool to evaluate the impacts of the 2019 mysterious oil spill in a Northeast Brazil coral reef.
Mar Pollut Bull
January 2025
Universidade Federal de Pernambuco, Programa de Pós-Graduação em Biologia Animal, Center for Biosciences, Av. Prof. Morais Rêgo s/n, Recife, Pernambuco 50670-420, Brazil; Universidade Federal de Pernambuco, Department of Zoology, Center for Biosciences, Av. Prof. Morais Rêgo s/n, Recife, Pernambuco 50670-420, Brazil. Electronic address:
During the last half of 2019, the Northeast coast of Brazil suffered from an extensive oil spill of unknown origin, and marine organisms in those areas were subjected to significant impacts. In situations like this, the contaminant effects can persist for varying periods. Oil contaminants, such as polycyclic aromatic hydrocarbons (PAHs), generally reduce taxa's abundance and diversity in benthic communities in areas with greater exposure to chemical components.
View Article and Find Full Text PDFA comparative life cycle analysis of bioremediation approaches for old-aged petroleum pollution in hypersaline soil.
Chemosphere
January 2025
Department of Agricultural Machinery Engineering, University of Tehran, Iran.
Soil oil pollution is a major environmental issue, especially in oil-producing nations, as it threatens the health of plants, animals, and humans. While bioremediation has been extensively utilized as a cost-effective method for restoring oil-contaminated soil, its environmental impact has garnered relatively little attention. Researchers often concentrate on reducing pollutant concentrations below permissible limits to restore soil quality.
View Article and Find Full Text PDFGSCAT-UNET: Enhanced U-Net model with spatial-channel attention gate and three-level attention for oil spill detection using SAR data.
Mar Pollut Bull
January 2025
JK Laxmipat University, Jaipur, Rajasthan, India.
Marine pollution due to oil spills presents major risks to coastal areas and aquatic life, leading to serious environmental health concerns. Oil Spill detection using SAR data has transitioned from traditional segmentation to a variety of machine learning & deep learning models like UNET proving its efficiency for the task. This research paper proposes a GSCAT-UNET model for efficient oil spill detection and discrimination from lookalikes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!