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...

Full description

Bibliographic Details
Main Authors: Yu-feng Yang, Shu Wang, Zhen-duo Zhu, Long-zhe Jin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.1054839/full
_version_ 1811189647142813696
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
work_keys_str_mv AT yufengyang predictionmodelandconsequenceanalysisforriverineoilspills
AT yufengyang predictionmodelandconsequenceanalysisforriverineoilspills
AT shuwang predictionmodelandconsequenceanalysisforriverineoilspills
AT zhenduozhu predictionmodelandconsequenceanalysisforriverineoilspills
AT longzhejin predictionmodelandconsequenceanalysisforriverineoilspills