High-resolution urban air pollution and thermal comfort mapping: an application of drive mobile sensing platform for smart city services
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916773493735424 |
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| author | Zhong, Hui Lu, Hongliang Gan, Ting Liu, Yonghong Zheng, Xinhu |
| author_facet | Zhong, Hui Lu, Hongliang Gan, Ting Liu, Yonghong Zheng, Xinhu |
| contents | Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site monitoring stations are limited by sparse distribution, high costs, and maintenance needs, making them less effective in capturing on-road pollution levels. This study utilizes a fleet of 314 taxis equipped with sensors to measure NO\textsubscript{2}, PM\textsubscript{2.5}, and PM\textsubscript{10} concentrations and identify high-exposure hotspots. The findings reveal disparities between mobile and stationary measurements, map the spatiotemporal exposure patterns, and highlight local hotspots. These results demonstrate the potential of mobile monitoring to provide fine-scale, on-road air pollution assessments, offering valuable insights for policymakers to design targeted interventions and protect public health, particularly for sensitive populations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_17831 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | High-resolution urban air pollution and thermal comfort mapping: an application of drive mobile sensing platform for smart city services Zhong, Hui Lu, Hongliang Gan, Ting Liu, Yonghong Zheng, Xinhu Signal Processing Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site monitoring stations are limited by sparse distribution, high costs, and maintenance needs, making them less effective in capturing on-road pollution levels. This study utilizes a fleet of 314 taxis equipped with sensors to measure NO\textsubscript{2}, PM\textsubscript{2.5}, and PM\textsubscript{10} concentrations and identify high-exposure hotspots. The findings reveal disparities between mobile and stationary measurements, map the spatiotemporal exposure patterns, and highlight local hotspots. These results demonstrate the potential of mobile monitoring to provide fine-scale, on-road air pollution assessments, offering valuable insights for policymakers to design targeted interventions and protect public health, particularly for sensitive populations. |
| title | High-resolution urban air pollution and thermal comfort mapping: an application of drive mobile sensing platform for smart city services |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2412.17831 |