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1.
Mar Pollut Bull ; 181: 113931, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35843166

ABSTRACT

This paper aims to determine the worldwide research trends on searching queries of "oil spill* and risk assessment*" and "net environmental benefit analysis" and its most productive authors and journals. A bibliometric approach was performed to analyze publications including highly cited papers and only papers that were published in the Dimensions database from 2000 to 2022, April was selected. The necessary data were extracted from the Dimensions database and processed using visualization and mapping software such as VOSviewer 1.6.17 and Tableau Public 2021.1. The findings identified significant study fields, co-cited authors, country contributions, productive journals, as well as the most cited authors' articles. This study contributes significantly to the relevant studies as one of the few that utilizes bibliometric analysis as a network visualization and mapping technique for the analysis of one of the primary oil spill response decision-making tools and risk assessment sciences. The findings of this study can assist the researcher perform their research more effectively by providing insight into journal selection, contributing authors, research trends, countries, and keywords. Further research is recommended in light of longer period data contained in oil spill response strategies, oil spill modeling, or oil spill risk subjects.


Subject(s)
Bibliometrics , Petroleum Pollution , Databases, Factual , Humans , Risk Assessment , Software
2.
Environ Monit Assess ; 190(9): 551, 2018 Aug 24.
Article in English | MEDLINE | ID: mdl-30143863

ABSTRACT

The aim of this study is to evaluate the performance level of two advanced oil spill software systems in early transport and fate of oil spill through algorithms accepted in oil spill literature. To do this, the performance level of software systems mostly used in real cases have been compared. OILMAP (the oil spill prediction modeling system) and PISCES 2 (potential incident simulation, control and evaluation system) have been used for spill trajectory in the light of four spill scenarios. The findings reveal that the OILMAP has predicted a relatively larger area of spill. In addition, OILMAP has achieved closer results to the calculations of approaches adopted in the literature for evaporation calculations. Besides, OILMAP software has provided highly reliable results in the evaporation rates of oil compared to the calculations of PISCES 2. On the other hand, as for the determination of the risky area, both software systems have yielded results with high reliability values, which could be used in taking precautions against oil spill in such areas.


Subject(s)
Environmental Monitoring/methods , Petroleum Pollution/analysis , Software , Water Pollutants, Chemical/analysis , Water Pollution, Chemical/analysis , Bays , Environmental Monitoring/instrumentation , Petroleum/analysis , Petroleum Pollution/statistics & numerical data , Reproducibility of Results , Water Pollution, Chemical/statistics & numerical data
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