Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review

Effectively monitoring urban air quality, and analyzing the source terms of the main atmospheric pollutants is important for public authorities to take air quality management actions. Previous works, such as long-term observations by monitoring stations, cannot provide customized data services and i...

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Main Authors: Zhengqiu Zhu, Bin Chen, Yong Zhao, Yatai Ji
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-09-01
Series:Journal of Safety Science and Resilience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666449621000323
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spelling doaj-fd9d38628ead43aab619c28390ea00292021-09-13T04:14:51ZengKeAi Communications Co., Ltd.Journal of Safety Science and Resilience2666-44962021-09-0123131145Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a reviewZhengqiu Zhu0Bin Chen1Yong Zhao2Yatai Ji3College of Systems Engineering, National University of Defense Technology (NUDT), 410073 109 Deya Road, Kaifu District, Changsha City, Hunan province, China; Research Group of Multi-scale Networked Systems, Informatics Institute, University of Amsterdam (UvA), Science Park 904, P.O. Box 94323, 1096 XH Amsterdam, NetherlandsCollege of Systems Engineering, National University of Defense Technology (NUDT), 410073 109 Deya Road, Kaifu District, Changsha City, Hunan province, China; Corresponding author.College of Systems Engineering, National University of Defense Technology (NUDT), 410073 109 Deya Road, Kaifu District, Changsha City, Hunan province, ChinaCollege of Systems Engineering, National University of Defense Technology (NUDT), 410073 109 Deya Road, Kaifu District, Changsha City, Hunan province, ChinaEffectively monitoring urban air quality, and analyzing the source terms of the main atmospheric pollutants is important for public authorities to take air quality management actions. Previous works, such as long-term observations by monitoring stations, cannot provide customized data services and in-time emergency response under urgent situations (gas leakage incidents). Therefore, we first review the up-to-date approaches (often machine learning and optimization methods) with respect to urban air quality monitoring and hazardous gas source analysis. To bridge the gap between present solutions and practical requirements, we design a conceptual framework, namely MAsmed (Multi-Agents for sensing, monitoring, estimating and determining), to provide fine-grained concentration maps, customized data services, and on-demand emergency management. In this framework, we leverage the hybrid design of wireless sensor networks (WSNs) and mobile crowdsensing (MCS) to sense urban air quality and relevant data (e.g. traffic data, meteorological data, etc.); Using the sensed data, we can create a fine-grained air quality map for the authorities and relevant stakeholders, and provide on-demand source term estimation and source searching methods to estimate, seek, and determine the sources, thereby aiding decision-makers in emergency response (e.g. for evacuation). In this paper, we also identify several potential opportunities for future research.http://www.sciencedirect.com/science/article/pii/S2666449621000323Urban air quality monitoring and source analyzing systemMAsmed frameworkWireless sensor networksMobile crowdsensingAir quality management
collection DOAJ
language English
format Article
sources DOAJ
author Zhengqiu Zhu
Bin Chen
Yong Zhao
Yatai Ji
spellingShingle Zhengqiu Zhu
Bin Chen
Yong Zhao
Yatai Ji
Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
Journal of Safety Science and Resilience
Urban air quality monitoring and source analyzing system
MAsmed framework
Wireless sensor networks
Mobile crowdsensing
Air quality management
author_facet Zhengqiu Zhu
Bin Chen
Yong Zhao
Yatai Ji
author_sort Zhengqiu Zhu
title Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
title_short Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
title_full Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
title_fullStr Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
title_full_unstemmed Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
title_sort multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review
publisher KeAi Communications Co., Ltd.
series Journal of Safety Science and Resilience
issn 2666-4496
publishDate 2021-09-01
description Effectively monitoring urban air quality, and analyzing the source terms of the main atmospheric pollutants is important for public authorities to take air quality management actions. Previous works, such as long-term observations by monitoring stations, cannot provide customized data services and in-time emergency response under urgent situations (gas leakage incidents). Therefore, we first review the up-to-date approaches (often machine learning and optimization methods) with respect to urban air quality monitoring and hazardous gas source analysis. To bridge the gap between present solutions and practical requirements, we design a conceptual framework, namely MAsmed (Multi-Agents for sensing, monitoring, estimating and determining), to provide fine-grained concentration maps, customized data services, and on-demand emergency management. In this framework, we leverage the hybrid design of wireless sensor networks (WSNs) and mobile crowdsensing (MCS) to sense urban air quality and relevant data (e.g. traffic data, meteorological data, etc.); Using the sensed data, we can create a fine-grained air quality map for the authorities and relevant stakeholders, and provide on-demand source term estimation and source searching methods to estimate, seek, and determine the sources, thereby aiding decision-makers in emergency response (e.g. for evacuation). In this paper, we also identify several potential opportunities for future research.
topic Urban air quality monitoring and source analyzing system
MAsmed framework
Wireless sensor networks
Mobile crowdsensing
Air quality management
url http://www.sciencedirect.com/science/article/pii/S2666449621000323
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