Simulation and assessment of a water pollution accident caused by phenol leakage

Frequent occurrence of water pollution accidents has caused serious ecological and environmental damage. The purpose of this study was to assess the impacts of water pollution accidents on the human body and the ecosystem and to use a new calculation method of mean absolute deviation (MAD) to measur...

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Autores principales: Gaimei Guo, Runbin Duan
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/6d71f117e3fc40a5a87bd85f9c4bdc7f
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spelling oai:doaj.org-article:6d71f117e3fc40a5a87bd85f9c4bdc7f2021-11-05T20:17:01ZSimulation and assessment of a water pollution accident caused by phenol leakage1366-70171996-975910.2166/wp.2021.153https://doaj.org/article/6d71f117e3fc40a5a87bd85f9c4bdc7f2021-06-01T00:00:00Zhttp://wp.iwaponline.com/content/23/3/750https://doaj.org/toc/1366-7017https://doaj.org/toc/1996-9759Frequent occurrence of water pollution accidents has caused serious ecological and environmental damage. The purpose of this study was to assess the impacts of water pollution accidents on the human body and the ecosystem and to use a new calculation method of mean absolute deviation (MAD) to measure model error. A water pollution accident caused by the phenol leakage was simulated using the Environmental Damage Model of Water Pollution Accidents. In order to analyze the impacts of the phenol leakage event on the human body and the ecosystem, pollution level and its classification method were defined, and the result showed that the leakage event of phenol could have a destructive impact and present great danger in some areas, which covered 32–56% of the study area. The measurement of the model error indicated that lower resolution meant smaller MAD. Quantity Deviation and Hierarchical Deviation did not change with the resolution, and low resolution meant small Pixel Deviation. MAD not only reflected the deviation between layers but also embodied the impact of individual data on the whole deviation. Highlights A new calculation method of mean absolute deviation is used to measure the model error.; Lower resolution means smaller mean absolute deviation.; Mean absolute deviation reflects the deviation between layers.; The pollution level and its classification method are defined for the first time.; The phenol leakage event causes destructive impacts and great dangers in some areas.;Gaimei GuoRunbin DuanIWA Publishingarticleimpactmean absolute deviationpollution levelsresolutionwater pollution accidentsRiver, lake, and water-supply engineering (General)TC401-506ENWater Policy, Vol 23, Iss 3, Pp 750-764 (2021)
institution DOAJ
collection DOAJ
language EN
topic impact
mean absolute deviation
pollution levels
resolution
water pollution accidents
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle impact
mean absolute deviation
pollution levels
resolution
water pollution accidents
River, lake, and water-supply engineering (General)
TC401-506
Gaimei Guo
Runbin Duan
Simulation and assessment of a water pollution accident caused by phenol leakage
description Frequent occurrence of water pollution accidents has caused serious ecological and environmental damage. The purpose of this study was to assess the impacts of water pollution accidents on the human body and the ecosystem and to use a new calculation method of mean absolute deviation (MAD) to measure model error. A water pollution accident caused by the phenol leakage was simulated using the Environmental Damage Model of Water Pollution Accidents. In order to analyze the impacts of the phenol leakage event on the human body and the ecosystem, pollution level and its classification method were defined, and the result showed that the leakage event of phenol could have a destructive impact and present great danger in some areas, which covered 32–56% of the study area. The measurement of the model error indicated that lower resolution meant smaller MAD. Quantity Deviation and Hierarchical Deviation did not change with the resolution, and low resolution meant small Pixel Deviation. MAD not only reflected the deviation between layers but also embodied the impact of individual data on the whole deviation. Highlights A new calculation method of mean absolute deviation is used to measure the model error.; Lower resolution means smaller mean absolute deviation.; Mean absolute deviation reflects the deviation between layers.; The pollution level and its classification method are defined for the first time.; The phenol leakage event causes destructive impacts and great dangers in some areas.;
format article
author Gaimei Guo
Runbin Duan
author_facet Gaimei Guo
Runbin Duan
author_sort Gaimei Guo
title Simulation and assessment of a water pollution accident caused by phenol leakage
title_short Simulation and assessment of a water pollution accident caused by phenol leakage
title_full Simulation and assessment of a water pollution accident caused by phenol leakage
title_fullStr Simulation and assessment of a water pollution accident caused by phenol leakage
title_full_unstemmed Simulation and assessment of a water pollution accident caused by phenol leakage
title_sort simulation and assessment of a water pollution accident caused by phenol leakage
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/6d71f117e3fc40a5a87bd85f9c4bdc7f
work_keys_str_mv AT gaimeiguo simulationandassessmentofawaterpollutionaccidentcausedbyphenolleakage
AT runbinduan simulationandassessmentofawaterpollutionaccidentcausedbyphenolleakage
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