Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants
The development and improvement of monitoring techniques to measure the concentration of pollutants in the atmosphere are a starting point to guarantee high levels of human health and environmental safety. The combination of lidar and dial techniques, by measuring backscattering signals and reconstr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/11/4/383 |
| _version_ | 1797570693457510400 |
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| author | Riccardo Rossi Daniele Di Giovanni Andrea Malizia Pasqualino Gaudio |
| author_facet | Riccardo Rossi Daniele Di Giovanni Andrea Malizia Pasqualino Gaudio |
| author_sort | Riccardo Rossi |
| collection | DOAJ |
| description | The development and improvement of monitoring techniques to measure the concentration of pollutants in the atmosphere are a starting point to guarantee high levels of human health and environmental safety. The combination of lidar and dial techniques, by measuring backscattering signals and reconstructing the map of their concentrations, can be used to provide detailed information about the presence of aerosols, particulate and pollutions. Moreover, by using a multiwavelength approach, it is possible to increase the measurement accuracy and reliability. In this work, the dial approach is used to monitor the pollution in a very congested urban area with high traffic. In order to provide a validation of the results, correlation analyses between the measured pollutants was performed. A new lidar analysis method, based on the least-square minimization technique, was introduced and demonstrated to work properly. The dial capability to detect polluted areas was shown—and by correlation analysis—also the possibility to identify the source of pollutions can be performed. |
| first_indexed | 2024-03-10T20:28:49Z |
| format | Article |
| id | doaj.art-2c8dc415c1184172950ff0fc9fb839bb |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T20:28:49Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-2c8dc415c1184172950ff0fc9fb839bb2023-11-19T21:33:10ZengMDPI AGAtmosphere2073-44332020-04-0111438310.3390/atmos11040383Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle PollutantsRiccardo Rossi0Daniele Di Giovanni1Andrea Malizia2Pasqualino Gaudio3Department of Industrial Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, ItalyDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Via Cambridge, 00133 Rome, ItalyDepartment of Industrial Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, ItalyThe development and improvement of monitoring techniques to measure the concentration of pollutants in the atmosphere are a starting point to guarantee high levels of human health and environmental safety. The combination of lidar and dial techniques, by measuring backscattering signals and reconstructing the map of their concentrations, can be used to provide detailed information about the presence of aerosols, particulate and pollutions. Moreover, by using a multiwavelength approach, it is possible to increase the measurement accuracy and reliability. In this work, the dial approach is used to monitor the pollution in a very congested urban area with high traffic. In order to provide a validation of the results, correlation analyses between the measured pollutants was performed. A new lidar analysis method, based on the least-square minimization technique, was introduced and demonstrated to work properly. The dial capability to detect polluted areas was shown—and by correlation analysis—also the possibility to identify the source of pollutions can be performed.https://www.mdpi.com/2073-4433/11/4/383dialpollutants measurementsmultiwavelength approach |
| spellingShingle | Riccardo Rossi Daniele Di Giovanni Andrea Malizia Pasqualino Gaudio Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants Atmosphere dial pollutants measurements multiwavelength approach |
| title | Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants |
| title_full | Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants |
| title_fullStr | Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants |
| title_full_unstemmed | Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants |
| title_short | Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants |
| title_sort | measurements of vehicle pollutants in a high traffic urban area by a multiwavelength dial approach correlation between two different motor vehicle pollutants |
| topic | dial pollutants measurements multiwavelength approach |
| url | https://www.mdpi.com/2073-4433/11/4/383 |
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