A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents

Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving a one-time method. This study constructs a fra...

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Autores principales:	Ying Zhao, Yilin Pan, Wensong Wang, Liang Guo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	brain-inspired emergency response framework sudden water pollution dynamic reasoning whole process decision driven by big data analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/aa1ebb008d774da88c8a7e4bc37cdaf2
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spelling	oai:doaj.org-article:aa1ebb008d774da88c8a7e4bc37cdaf22021-11-11T19:57:13ZA Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents10.3390/w132130972073-4441https://doaj.org/article/aa1ebb008d774da88c8a7e4bc37cdaf22021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/21/3097https://doaj.org/toc/2073-4441Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving a one-time method. This study constructs a framework suitable for China that has both the ability of quick responses and full-time dynamic decision support, such as an experienced expert, while not being affected by pressure, to be used an emergency response for sudden water pollution accidents. To allow new decisionmakers to integrate into this professional decision-making role more quickly, a brain-inspired system is realized through combining the machine learning algorithm KNN and the idea of iteration and dynamic programming. The feasibility of our framework is further tested through a major water pollution happened recently. The results show that this framework can be well connected with the emergency response technology system that has been completed before, while also supporting the rapid and robust decision making such as the decisionmaker’s second brain, reducing the demand for professional background and experience of emergency decisionmakers, thus effectively shorten the waiting period for response.Ying ZhaoYilin PanWensong WangLiang GuoMDPI AGarticlebrain-inspiredemergency response frameworksudden water pollutiondynamic reasoningwhole processdecision driven by big data analysisHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3097, p 3097 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	brain-inspired emergency response framework sudden water pollution dynamic reasoning whole process decision driven by big data analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	brain-inspired emergency response framework sudden water pollution dynamic reasoning whole process decision driven by big data analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Ying Zhao Yilin Pan Wensong Wang Liang Guo A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
description	Sudden water pollution accidents happen frequently in China, and the number of treated accidents is low, due to the slow response speed. In addition, there is a lack of decision support systems that can follow up the whole process instead of just giving a one-time method. This study constructs a framework suitable for China that has both the ability of quick responses and full-time dynamic decision support, such as an experienced expert, while not being affected by pressure, to be used an emergency response for sudden water pollution accidents. To allow new decisionmakers to integrate into this professional decision-making role more quickly, a brain-inspired system is realized through combining the machine learning algorithm KNN and the idea of iteration and dynamic programming. The feasibility of our framework is further tested through a major water pollution happened recently. The results show that this framework can be well connected with the emergency response technology system that has been completed before, while also supporting the rapid and robust decision making such as the decisionmaker’s second brain, reducing the demand for professional background and experience of emergency decisionmakers, thus effectively shorten the waiting period for response.
format	article
author	Ying Zhao Yilin Pan Wensong Wang Liang Guo
author_facet	Ying Zhao Yilin Pan Wensong Wang Liang Guo
author_sort	Ying Zhao
title	A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
title_short	A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
title_full	A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
title_fullStr	A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
title_full_unstemmed	A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents
title_sort	brain-inspired dynamic environmental emergency response framework for sudden water pollution accidents
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/aa1ebb008d774da88c8a7e4bc37cdaf2
work_keys_str_mv	AT yingzhao abraininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT yilinpan abraininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT wensongwang abraininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT liangguo abraininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT yingzhao braininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT yilinpan braininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT wensongwang braininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents AT liangguo braininspireddynamicenvironmentalemergencyresponseframeworkforsuddenwaterpollutionaccidents
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A Brain-Inspired Dynamic Environmental Emergency Response Framework for Sudden Water Pollution Accidents

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