A fuzzy decision tree (FDT) based framework was developed to facilitate the selection of suitable oil spill response methods in the Arctic. Hypothetical oil spill cases were developed based on six identified attributes, while the suitability of three spill response methods (mechanical containment and recovery, use of chemical dispersants, and in-situ burning) for each spill case was obtained based on expert judgments. Fuzzy sets were used to address the associated uncertainties, and FDTs were then developed through generating: i) one decision tree for all three response methods (FDT-AP1) and ii) one decision tree for each response method and the development of linear regression models at terminal nodes (FDT-LR). The FDT-LR approach exhibited higher prediction accuracy than the FDT-AP1 approach. A maximum of 100% accurate predictions could be achieved for testing cases using it. On average, 75% of suitable oil spill response methods out of 10,000 performed iterations were predicted correctly.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.marpolbul.2020.111705 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Background: 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 PDFPhytoremediation of Oil-Contaminated Soil by L. Combined with Biochar and Microbial Agent.
Plants (Basel)
January 2025
College of Life Sciences, Nankai University, Tianjin 300071, China.
Crude oil pollution of soil is an important issue that has serious effects on both the environment and human health. Phytoremediation is a promising approach to cleaning up oil-contaminated soil. In order to facilitate phytoremediation effects for oil-contaminated soil, this study set up a pot experiment to explore the co-application potentiality of L.
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!