Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak
From March 23rd to May 3rd 2020, Italy underwent a complete lockdown in the attempt to contain the spread of the pandemic due to Covid-19 outbreak. During this period, a new kind of environment has been experienced in all cities, resulting in an abatement of traffic noise levels. Consequently, due t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2020-12-01
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| Series: | Noise Mapping |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/noise-2020-0023 |
| _version_ | 1819291504704749568 |
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| author | Benocci Roberto Roman H. Eduardo Confalonieri Chiara Zambon Giovanni |
| author_facet | Benocci Roberto Roman H. Eduardo Confalonieri Chiara Zambon Giovanni |
| author_sort | Benocci Roberto |
| collection | DOAJ |
| description | From March 23rd to May 3rd 2020, Italy underwent a complete lockdown in the attempt to contain the spread of the pandemic due to Covid-19 outbreak. During this period, a new kind of environment has been experienced in all cities, resulting in an abatement of traffic noise levels. Consequently, due to the prohibition of all non-essential activities, traffic noise dynamics changed as well. In this paper, we analyse the data recorded from the permanent noise monitoring network installed in the pilot area of the city of Milan, Italy. The results show how, besides a dramatic reduction of the noise levels (about 6 dB on average), also the noise pattern was profoundly changed. This is particularly important in the framework of DYNAMAP, a statistically based European project able to predict traffic noise over an extended area based on the noise recorded by limited number of monitoring stations. The change of the traffic dynamics, resulting in different noise patterns of the normalized hourly median profiles for each sensor, pose some limitations about the use of such predicting tool during extraordinary situations such as that experienced during a lockdown. |
| first_indexed | 2024-12-24T03:39:42Z |
| format | Article |
| id | doaj.art-01f7dc656291472191f2b9282a63c216 |
| institution | Directory Open Access Journal |
| issn | 2084-879X |
| language | English |
| last_indexed | 2024-12-24T03:39:42Z |
| publishDate | 2020-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Noise Mapping |
| spelling | doaj.art-01f7dc656291472191f2b9282a63c2162022-12-21T17:16:56ZengDe GruyterNoise Mapping2084-879X2020-12-017127628610.1515/noise-2020-0023noise-2020-0023Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreakBenocci Roberto0Roman H. Eduardo1Confalonieri Chiara2Zambon Giovanni3Dipartimento di Scienze dell’Ambiente e del Territorio e di Scienze della Terra (DISAT), Università di Milano-Bicocca, Piazza della Scienza 1, 20126Milano, ItalyDipartimento di Fisica, “G. Occhialini” Università di Milano-Bicocca, Piazza della Scienza 3, 20126Milano, ItalyDipartimento di Scienze dell’Ambiente e del Territorio e di Scienze della Terra (DISAT), Università di Milano-Bicocca, Piazza della Scienza 1, 20126Milano, ItalyDipartimento di Scienze dell’Ambiente e del Territorio e di Scienze della Terra (DISAT), Università di Milano-Bicocca, Piazza della Scienza 1, 20126Milano, ItalyFrom March 23rd to May 3rd 2020, Italy underwent a complete lockdown in the attempt to contain the spread of the pandemic due to Covid-19 outbreak. During this period, a new kind of environment has been experienced in all cities, resulting in an abatement of traffic noise levels. Consequently, due to the prohibition of all non-essential activities, traffic noise dynamics changed as well. In this paper, we analyse the data recorded from the permanent noise monitoring network installed in the pilot area of the city of Milan, Italy. The results show how, besides a dramatic reduction of the noise levels (about 6 dB on average), also the noise pattern was profoundly changed. This is particularly important in the framework of DYNAMAP, a statistically based European project able to predict traffic noise over an extended area based on the noise recorded by limited number of monitoring stations. The change of the traffic dynamics, resulting in different noise patterns of the normalized hourly median profiles for each sensor, pose some limitations about the use of such predicting tool during extraordinary situations such as that experienced during a lockdown.https://doi.org/10.1515/noise-2020-0023noise mappingcluster analysisdynamapcovid-19traffic noise pattern |
| spellingShingle | Benocci Roberto Roman H. Eduardo Confalonieri Chiara Zambon Giovanni Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak Noise Mapping noise mapping cluster analysis dynamap covid-19 traffic noise pattern |
| title | Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak |
| title_full | Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak |
| title_fullStr | Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak |
| title_full_unstemmed | Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak |
| title_short | Investigation on clusters stability in DYNAMAP’s monitoring network during Covid-19 outbreak |
| title_sort | investigation on clusters stability in dynamap s monitoring network during covid 19 outbreak |
| topic | noise mapping cluster analysis dynamap covid-19 traffic noise pattern |
| url | https://doi.org/10.1515/noise-2020-0023 |
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