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Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images
With the advancement of urbanization and the impact of industrial pollution, the issue of urban ventilation has attracted increasing attention. Research on urban ventilation corridors is a hotspot in the field of urban planning. Traditional studies on ventilation corridors mostly focus on qualitativ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622167/ https://www.ncbi.nlm.nih.gov/pubmed/34833612 http://dx.doi.org/10.3390/s21227537 |
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author | Chen, Chaoxiang Ye, Shiping Bai, Zhican Wang, Juan Zhang, Zongbiao Ablameyko, Sergey |
author_facet | Chen, Chaoxiang Ye, Shiping Bai, Zhican Wang, Juan Zhang, Zongbiao Ablameyko, Sergey |
author_sort | Chen, Chaoxiang |
collection | PubMed |
description | With the advancement of urbanization and the impact of industrial pollution, the issue of urban ventilation has attracted increasing attention. Research on urban ventilation corridors is a hotspot in the field of urban planning. Traditional studies on ventilation corridors mostly focus on qualitative or simulated research on urban climate issues such as the intensified urban heat island effect, serious environmental pollution, and insufficient climate adaptability. Based on the high-precision urban remote sensing image data obtained by aeromagnetic oblique photography, this paper calculates the frontal area density of the city with reference to the urban wind statistics. Based on the existing urban patterns, template matching technology was used to automatically excavate urban ventilation corridors, which provides scientific and reasonable algorithmic support for the rapid construction of potential urban ventilation corridor paths. It also provides technical methods and decision basis for low-carbon urban planning, ecological planning and microclimate optimization design. This method was proved to be effective through experiments in Deqing city, Zhejiang Province, China. |
format | Online Article Text |
id | pubmed-8622167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86221672021-11-27 Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images Chen, Chaoxiang Ye, Shiping Bai, Zhican Wang, Juan Zhang, Zongbiao Ablameyko, Sergey Sensors (Basel) Article With the advancement of urbanization and the impact of industrial pollution, the issue of urban ventilation has attracted increasing attention. Research on urban ventilation corridors is a hotspot in the field of urban planning. Traditional studies on ventilation corridors mostly focus on qualitative or simulated research on urban climate issues such as the intensified urban heat island effect, serious environmental pollution, and insufficient climate adaptability. Based on the high-precision urban remote sensing image data obtained by aeromagnetic oblique photography, this paper calculates the frontal area density of the city with reference to the urban wind statistics. Based on the existing urban patterns, template matching technology was used to automatically excavate urban ventilation corridors, which provides scientific and reasonable algorithmic support for the rapid construction of potential urban ventilation corridor paths. It also provides technical methods and decision basis for low-carbon urban planning, ecological planning and microclimate optimization design. This method was proved to be effective through experiments in Deqing city, Zhejiang Province, China. MDPI 2021-11-12 /pmc/articles/PMC8622167/ /pubmed/34833612 http://dx.doi.org/10.3390/s21227537 Text en © 2021 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 Chen, Chaoxiang Ye, Shiping Bai, Zhican Wang, Juan Zhang, Zongbiao Ablameyko, Sergey Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title | Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title_full | Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title_fullStr | Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title_full_unstemmed | Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title_short | Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images |
title_sort | intelligent mining of urban ventilation corridors based on high-precision oblique photographic images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622167/ https://www.ncbi.nlm.nih.gov/pubmed/34833612 http://dx.doi.org/10.3390/s21227537 |
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