Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar
<p>Recent evidence suggests that urban forms and materials can help to mediate temporal variation of microclimates and that landscape modifications can potentially reduce temperatures and increase accessibility to outdoor environments. To understand the relationship between urban form and temp...
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2016
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| _version_ | 1864513511406698496 |
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| author | Yasuyo Makido (18808108) |
| author2 | Vivek Shandas (6643472) Salim Ferwati (18808111) David Sailor (18808114) |
| author2_role | author author author |
| author_facet | Yasuyo Makido (18808108) Vivek Shandas (6643472) Salim Ferwati (18808111) David Sailor (18808114) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yasuyo Makido (18808108) Vivek Shandas (6643472) Salim Ferwati (18808111) David Sailor (18808114) |
| dc.date.none.fl_str_mv | 2016-06-16T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/cli4020032 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Daytime_Variation_of_Urban_Heat_Islands_The_Case_Study_of_Doha_Qatar/26019301 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Earth sciences Climate change science Environmental sciences Climate change impacts and adaptation arid climate urban heat island spatial analysis vehicle temperature traverse random forest |
| dc.title.none.fl_str_mv | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Recent evidence suggests that urban forms and materials can help to mediate temporal variation of microclimates and that landscape modifications can potentially reduce temperatures and increase accessibility to outdoor environments. To understand the relationship between urban form and temperature moderation, we examined the spatial and temporal variation of air temperature throughout one desert city—Doha, Qatar—by conducting vehicle traverses using highly resolved temperature and GPS data logs to determine spatial differences in summertime air temperatures. To help explain near-surface air temperatures using land cover variables, we employed three statistical approaches: Ordinary Least Squares (OLS), Regression Tree Analysis (RTA), and Random Forest (RF). We validated the predictions of the statistical models by computing the Root Mean Square Error (RMSE) and discovered that temporal variations in urban heat are mediated by different factors throughout the day. The average RMSE for OLS, RTA and RF is 1.25, 0.96, and 0.65 (in Celsius), respectively, suggesting that the RF is the best model for predicting near-surface air temperatures at this study site. We conclude by recommending the features of the landscape that have the greatest potential for reducing extreme heat in arid climates.</p><h2>Other Information</h2> <p> Published in: Climate<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/cli4020032" target="_blank">https://dx.doi.org/10.3390/cli4020032</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_13c8d3e061b0096d50454621ec968ece |
| identifier_str_mv | 10.3390/cli4020032 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26019301 |
| publishDate | 2016 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Daytime Variation of Urban Heat Islands: The Case Study of Doha, QatarYasuyo Makido (18808108)Vivek Shandas (6643472)Salim Ferwati (18808111)David Sailor (18808114)Earth sciencesClimate change scienceEnvironmental sciencesClimate change impacts and adaptationarid climateurban heat islandspatial analysisvehicle temperature traverserandom forest<p>Recent evidence suggests that urban forms and materials can help to mediate temporal variation of microclimates and that landscape modifications can potentially reduce temperatures and increase accessibility to outdoor environments. To understand the relationship between urban form and temperature moderation, we examined the spatial and temporal variation of air temperature throughout one desert city—Doha, Qatar—by conducting vehicle traverses using highly resolved temperature and GPS data logs to determine spatial differences in summertime air temperatures. To help explain near-surface air temperatures using land cover variables, we employed three statistical approaches: Ordinary Least Squares (OLS), Regression Tree Analysis (RTA), and Random Forest (RF). We validated the predictions of the statistical models by computing the Root Mean Square Error (RMSE) and discovered that temporal variations in urban heat are mediated by different factors throughout the day. The average RMSE for OLS, RTA and RF is 1.25, 0.96, and 0.65 (in Celsius), respectively, suggesting that the RF is the best model for predicting near-surface air temperatures at this study site. We conclude by recommending the features of the landscape that have the greatest potential for reducing extreme heat in arid climates.</p><h2>Other Information</h2> <p> Published in: Climate<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/cli4020032" target="_blank">https://dx.doi.org/10.3390/cli4020032</a></p>2016-06-16T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/cli4020032https://figshare.com/articles/journal_contribution/Daytime_Variation_of_Urban_Heat_Islands_The_Case_Study_of_Doha_Qatar/26019301CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/260193012016-06-16T06:00:00Z |
| spellingShingle | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar Yasuyo Makido (18808108) Earth sciences Climate change science Environmental sciences Climate change impacts and adaptation arid climate urban heat island spatial analysis vehicle temperature traverse random forest |
| status_str | publishedVersion |
| title | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| title_full | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| title_fullStr | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| title_full_unstemmed | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| title_short | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| title_sort | Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar |
| topic | Earth sciences Climate change science Environmental sciences Climate change impacts and adaptation arid climate urban heat island spatial analysis vehicle temperature traverse random forest |