Prediction model and consequence analysis for riverine oil spills
Long-distance oil and gas pipelines play an important role in ensuring energy imports, but can cause riverine oil spills and threaten public health and the environment. The emergency disposal of spilled oil is affected by a number of factors such as the difficulty of disposal and the long recovery c...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-11-01
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Series: | Frontiers in Environmental Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1054839/full |
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author | Yu-feng Yang Yu-feng Yang Shu Wang Zhen-duo Zhu Long-zhe Jin |
author_facet | Yu-feng Yang Yu-feng Yang Shu Wang Zhen-duo Zhu Long-zhe Jin |
author_sort | Yu-feng Yang |
collection | DOAJ |
description | Long-distance oil and gas pipelines play an important role in ensuring energy imports, but can cause riverine oil spills and threaten public health and the environment. The emergency disposal of spilled oil is affected by a number of factors such as the difficulty of disposal and the long recovery cycle; however, there are deficiencies in the understanding of river oil spills. In this study, a prediction model of the river oil spill trajectory based on the random walk particle tracking algorithm was constructed. The performance of the model was tested by simulating the Enbridge Line 6B Oil Discharge scenario occurred in the United States in 2010. The temporal and spatial variations of the oil pollution zone in downstream and vertical directions were studied, and the interception effects on the arrival time of oil in key sections were obtained. Results showed that after the spilled oil entered the surface water body, the tiny oil droplets generated by crushing can remain underwater for a long time, making them difficult to detect and intercept. It can further combine with suspended particles in the water, settle, and pollute the riverbed, which has a greater potential for harm and risk. The model offers helpful information for the first-phase emergency response for riverine oil spills. |
first_indexed | 2024-04-11T14:39:06Z |
format | Article |
id | doaj.art-fbcae821bf2d4a548e1163a47c3593d0 |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-04-11T14:39:06Z |
publishDate | 2022-11-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Environmental Science |
spelling | doaj.art-fbcae821bf2d4a548e1163a47c3593d02022-12-22T04:18:13ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-11-011010.3389/fenvs.2022.10548391054839Prediction model and consequence analysis for riverine oil spillsYu-feng Yang0Yu-feng Yang1Shu Wang2Zhen-duo Zhu3Long-zhe Jin4School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, ChinaPipechina Science and Technology Research Institute, Langfang, ChinaSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, ChinaDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, United StatesSchool of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, ChinaLong-distance oil and gas pipelines play an important role in ensuring energy imports, but can cause riverine oil spills and threaten public health and the environment. The emergency disposal of spilled oil is affected by a number of factors such as the difficulty of disposal and the long recovery cycle; however, there are deficiencies in the understanding of river oil spills. In this study, a prediction model of the river oil spill trajectory based on the random walk particle tracking algorithm was constructed. The performance of the model was tested by simulating the Enbridge Line 6B Oil Discharge scenario occurred in the United States in 2010. The temporal and spatial variations of the oil pollution zone in downstream and vertical directions were studied, and the interception effects on the arrival time of oil in key sections were obtained. Results showed that after the spilled oil entered the surface water body, the tiny oil droplets generated by crushing can remain underwater for a long time, making them difficult to detect and intercept. It can further combine with suspended particles in the water, settle, and pollute the riverbed, which has a greater potential for harm and risk. The model offers helpful information for the first-phase emergency response for riverine oil spills.https://www.frontiersin.org/articles/10.3389/fenvs.2022.1054839/fulloil pipelineoil spillriveroil trajectory simulationrandom walk model |
spellingShingle | Yu-feng Yang Yu-feng Yang Shu Wang Zhen-duo Zhu Long-zhe Jin Prediction model and consequence analysis for riverine oil spills Frontiers in Environmental Science oil pipeline oil spill river oil trajectory simulation random walk model |
title | Prediction model and consequence analysis for riverine oil spills |
title_full | Prediction model and consequence analysis for riverine oil spills |
title_fullStr | Prediction model and consequence analysis for riverine oil spills |
title_full_unstemmed | Prediction model and consequence analysis for riverine oil spills |
title_short | Prediction model and consequence analysis for riverine oil spills |
title_sort | prediction model and consequence analysis for riverine oil spills |
topic | oil pipeline oil spill river oil trajectory simulation random walk model |
url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.1054839/full |
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