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Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities

Owing to rapid climate change, large-scale floods have occurred yearly in cities worldwide, causing serious damage. We propose a real-time urban flood-monitoring technology as an urban disaster prevention technology for sustainable and secure smart cities. Our method takes advantage of the character...

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Autores principales: Jang, Bong-Joo, Jung, Intaek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674379/
https://www.ncbi.nlm.nih.gov/pubmed/38005552
http://dx.doi.org/10.3390/s23229167
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author Jang, Bong-Joo
Jung, Intaek
author_facet Jang, Bong-Joo
Jung, Intaek
author_sort Jang, Bong-Joo
collection PubMed
description Owing to rapid climate change, large-scale floods have occurred yearly in cities worldwide, causing serious damage. We propose a real-time urban flood-monitoring technology as an urban disaster prevention technology for sustainable and secure smart cities. Our method takes advantage of the characteristic that water flow is regularly detected at a certain distance with a constant Doppler velocity within the radar observation area. Therefore, a pure flow energy detection algorithm in this technology can accurately and immediately detect water flow due to flooding by effectively removing dynamic obstacles such as cars, people, and animals that cause changes in observation distance, and static obstacles that do not cause Doppler velocities. Specifically, in this method, the pure flow energy is detected by generating a two-dimensional range–Doppler relation map using 1 s periodic radar observation data and performing statistical analysis on the energy detected on the successive maps. Experiments to verify the proposed technology are conducted indoors and in real river basins. As a result of conducting experiments in a narrow indoor space that could be considered an urban underpass or underground facility, it was found that this method can detect flooding situations with centimeter-level accuracy by measuring water level and flow velocity in real time from the time of flood occurrence. And the experimental results in various river environments showed that our technology could accurately detect changes in distance and flow speed from the river surface. We also confirmed that this method could effectively eliminate moving obstacles within the observation range and detect only pure flow energy. Finally, we expect that our method will be able to build a high-density urban flood-monitoring network and a high-precision digital flood twin.
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spelling pubmed-106743792023-11-14 Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities Jang, Bong-Joo Jung, Intaek Sensors (Basel) Article Owing to rapid climate change, large-scale floods have occurred yearly in cities worldwide, causing serious damage. We propose a real-time urban flood-monitoring technology as an urban disaster prevention technology for sustainable and secure smart cities. Our method takes advantage of the characteristic that water flow is regularly detected at a certain distance with a constant Doppler velocity within the radar observation area. Therefore, a pure flow energy detection algorithm in this technology can accurately and immediately detect water flow due to flooding by effectively removing dynamic obstacles such as cars, people, and animals that cause changes in observation distance, and static obstacles that do not cause Doppler velocities. Specifically, in this method, the pure flow energy is detected by generating a two-dimensional range–Doppler relation map using 1 s periodic radar observation data and performing statistical analysis on the energy detected on the successive maps. Experiments to verify the proposed technology are conducted indoors and in real river basins. As a result of conducting experiments in a narrow indoor space that could be considered an urban underpass or underground facility, it was found that this method can detect flooding situations with centimeter-level accuracy by measuring water level and flow velocity in real time from the time of flood occurrence. And the experimental results in various river environments showed that our technology could accurately detect changes in distance and flow speed from the river surface. We also confirmed that this method could effectively eliminate moving obstacles within the observation range and detect only pure flow energy. Finally, we expect that our method will be able to build a high-density urban flood-monitoring network and a high-precision digital flood twin. MDPI 2023-11-14 /pmc/articles/PMC10674379/ /pubmed/38005552 http://dx.doi.org/10.3390/s23229167 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jang, Bong-Joo
Jung, Intaek
Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title_full Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title_fullStr Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title_full_unstemmed Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title_short Development of High-Precision Urban Flood-Monitoring Technology for Sustainable Smart Cities
title_sort development of high-precision urban flood-monitoring technology for sustainable smart cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674379/
https://www.ncbi.nlm.nih.gov/pubmed/38005552
http://dx.doi.org/10.3390/s23229167
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