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Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance

With the increase of extreme weather events, the frequency and severity of urban flood events in the world are increasing drastically. Therefore, this study develops ARMT (automatic combined ground weather radar and CCTV (Closed Circuit Television System) images for real-time flood monitoring), whic...

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Autores principales: Hsu, Shih-Yen, Chen, Tai-Been, Du, Wei-Chang, Wu, Jyh-Horng, Chen, Shih-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412549/
https://www.ncbi.nlm.nih.gov/pubmed/30781575
http://dx.doi.org/10.3390/s19040825
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author Hsu, Shih-Yen
Chen, Tai-Been
Du, Wei-Chang
Wu, Jyh-Horng
Chen, Shih-Chieh
author_facet Hsu, Shih-Yen
Chen, Tai-Been
Du, Wei-Chang
Wu, Jyh-Horng
Chen, Shih-Chieh
author_sort Hsu, Shih-Yen
collection PubMed
description With the increase of extreme weather events, the frequency and severity of urban flood events in the world are increasing drastically. Therefore, this study develops ARMT (automatic combined ground weather radar and CCTV (Closed Circuit Television System) images for real-time flood monitoring), which integrates real-time ground radar echo images and automatically estimates a rainfall hotspot according to the cloud intensity. Furthermore, ARMT combines CCTV image capturing, analysis, and Fourier processing, identification, water level estimation, and data transmission to provide real-time warning information. Furthermore, the hydrograph data can serve as references for relevant disaster prevention, and response personnel may take advantage of them and make judgements based on them. The ARMT was tested through historical data input, which showed its reliability to be between 83% to 92%. In addition, when applied to real-time monitoring and analysis (e.g., typhoon), it had a reliability of 79% to 93%. With the technology providing information about both images and quantified water levels in flood monitoring, decision makers can quickly better understand the on-site situation so as to make an evacuation decision before the flood disaster occurs as well as discuss appropriate mitigation measures after the disaster to reduce the adverse effects that flooding poses on urban areas.
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spelling pubmed-64125492019-04-03 Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance Hsu, Shih-Yen Chen, Tai-Been Du, Wei-Chang Wu, Jyh-Horng Chen, Shih-Chieh Sensors (Basel) Article With the increase of extreme weather events, the frequency and severity of urban flood events in the world are increasing drastically. Therefore, this study develops ARMT (automatic combined ground weather radar and CCTV (Closed Circuit Television System) images for real-time flood monitoring), which integrates real-time ground radar echo images and automatically estimates a rainfall hotspot according to the cloud intensity. Furthermore, ARMT combines CCTV image capturing, analysis, and Fourier processing, identification, water level estimation, and data transmission to provide real-time warning information. Furthermore, the hydrograph data can serve as references for relevant disaster prevention, and response personnel may take advantage of them and make judgements based on them. The ARMT was tested through historical data input, which showed its reliability to be between 83% to 92%. In addition, when applied to real-time monitoring and analysis (e.g., typhoon), it had a reliability of 79% to 93%. With the technology providing information about both images and quantified water levels in flood monitoring, decision makers can quickly better understand the on-site situation so as to make an evacuation decision before the flood disaster occurs as well as discuss appropriate mitigation measures after the disaster to reduce the adverse effects that flooding poses on urban areas. MDPI 2019-02-17 /pmc/articles/PMC6412549/ /pubmed/30781575 http://dx.doi.org/10.3390/s19040825 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hsu, Shih-Yen
Chen, Tai-Been
Du, Wei-Chang
Wu, Jyh-Horng
Chen, Shih-Chieh
Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title_full Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title_fullStr Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title_full_unstemmed Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title_short Integrate Weather Radar and Monitoring Devices for Urban Flooding Surveillance
title_sort integrate weather radar and monitoring devices for urban flooding surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412549/
https://www.ncbi.nlm.nih.gov/pubmed/30781575
http://dx.doi.org/10.3390/s19040825
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