Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods
<p dir="ltr">Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. Having to include all the complex phenomena of wind fl...
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2019
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| author | Arsenios E. Chatzimichailidis (18891763) |
| author2 | Christos D. Argyropoulos (18891766) Marc J. Assael (2885615) Konstantinos E. Kakosimos (9863975) |
| author2_role | author author author |
| author_facet | Arsenios E. Chatzimichailidis (18891763) Christos D. Argyropoulos (18891766) Marc J. Assael (2885615) Konstantinos E. Kakosimos (9863975) |
| author_role | author |
| dc.creator.none.fl_str_mv | Arsenios E. Chatzimichailidis (18891763) Christos D. Argyropoulos (18891766) Marc J. Assael (2885615) Konstantinos E. Kakosimos (9863975) |
| dc.date.none.fl_str_mv | 2019-12-08T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/atmos10120794 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Implicit_Definition_of_Flow_Patterns_in_Street_Canyons_Recirculation_Zone_Using_Exploratory_Quantitative_and_Qualitative_Methods/26114566 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Earth sciences Atmospheric sciences Engineering Chemical engineering Environmental sciences Pollution and contamination Information and computing sciences Machine learning street canyon atmospheric dispersion models Large Eddy Simulations machine learning |
| dc.title.none.fl_str_mv | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. Having to include all the complex phenomena of wind flow between buildings, AQMs employ several parameterisations, one of which is the recirculation zone. Goal of this study is to derive an implicit or explicit definition for the recirculation zone from the flow in street canyons using computational fluid dynamics (CFD). Therefore, a CFD-Large Eddy Simulation model was employed to investigate street canyons with height to width ratio from 1 to 0.20 under perpendicular wind direction. The developed dataset was analyzed with traditional methods (vortex visualization criteria and pollutant dispersion fields), as well as clustering methods (machine learning). Combining the above analyses, it was possible to extract qualitative features that agree well with literature but most importantly to develop quantitative expressions that describe their topology. The extracted features’ topology depends strongly on the street canyon dimensions and not surprisingly is independent of the wind velocity. The developed expressions describe areas with common flow characteristics inside the canyon and thus they can be characterised as an implicit definition for the recirculation zone. Furthermore, the presented methodology can be further applied to cover more parameters such us oblique wind direction and heated-facades and more methods for data analysis.</p><h2>Other Information</h2><p dir="ltr">Published in: Atmosphere<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/atmos10120794" target="_blank">https://dx.doi.org/10.3390/atmos10120794</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ec7cf14acecc773f89f70121ce8959bc |
| identifier_str_mv | 10.3390/atmos10120794 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26114566 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative MethodsArsenios E. Chatzimichailidis (18891763)Christos D. Argyropoulos (18891766)Marc J. Assael (2885615)Konstantinos E. Kakosimos (9863975)Earth sciencesAtmospheric sciencesEngineeringChemical engineeringEnvironmental sciencesPollution and contaminationInformation and computing sciencesMachine learningstreet canyonatmospheric dispersion modelsLarge Eddy Simulationsmachine learning<p dir="ltr">Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. Having to include all the complex phenomena of wind flow between buildings, AQMs employ several parameterisations, one of which is the recirculation zone. Goal of this study is to derive an implicit or explicit definition for the recirculation zone from the flow in street canyons using computational fluid dynamics (CFD). Therefore, a CFD-Large Eddy Simulation model was employed to investigate street canyons with height to width ratio from 1 to 0.20 under perpendicular wind direction. The developed dataset was analyzed with traditional methods (vortex visualization criteria and pollutant dispersion fields), as well as clustering methods (machine learning). Combining the above analyses, it was possible to extract qualitative features that agree well with literature but most importantly to develop quantitative expressions that describe their topology. The extracted features’ topology depends strongly on the street canyon dimensions and not surprisingly is independent of the wind velocity. The developed expressions describe areas with common flow characteristics inside the canyon and thus they can be characterised as an implicit definition for the recirculation zone. Furthermore, the presented methodology can be further applied to cover more parameters such us oblique wind direction and heated-facades and more methods for data analysis.</p><h2>Other Information</h2><p dir="ltr">Published in: Atmosphere<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/atmos10120794" target="_blank">https://dx.doi.org/10.3390/atmos10120794</a></p>2019-12-08T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/atmos10120794https://figshare.com/articles/journal_contribution/Implicit_Definition_of_Flow_Patterns_in_Street_Canyons_Recirculation_Zone_Using_Exploratory_Quantitative_and_Qualitative_Methods/26114566CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/261145662019-12-08T03:00:00Z |
| spellingShingle | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods Arsenios E. Chatzimichailidis (18891763) Earth sciences Atmospheric sciences Engineering Chemical engineering Environmental sciences Pollution and contamination Information and computing sciences Machine learning street canyon atmospheric dispersion models Large Eddy Simulations machine learning |
| status_str | publishedVersion |
| title | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| title_full | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| title_fullStr | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| title_full_unstemmed | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| title_short | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| title_sort | Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods |
| topic | Earth sciences Atmospheric sciences Engineering Chemical engineering Environmental sciences Pollution and contamination Information and computing sciences Machine learning street canyon atmospheric dispersion models Large Eddy Simulations machine learning |