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Conference Paper: Temporal statistical analysis of urban heat islands at the microclimate level
Title | Temporal statistical analysis of urban heat islands at the microclimate level |
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Authors | |
Keywords | Microclimate variation Urban heat islands Automatic linear regression |
Issue Date | 2015 |
Publisher | Elsevier BV. |
Citation | The 2015 Spatial Statistics Conference, Avignon, France, 9-12 June 2015. In Procedia Environmental Sciences, 2015, v. 26, p. 91-94 How to Cite? |
Abstract | Urban Heat Islands (UHI) represent the air temperature difference between urban and rural areas. This study deployed a network of miniature sensors to capture road-side microclimate data in both summer and winter. Temporal variations indicated UHI were evident for all time scales, with daily highest and lowest UHI at around midnight and noon/early afternoon respectively. Meteorological and environmental factors influencing UHI were also statistically analyzed by automatic linear regression models. Regression results suggested solar radiation and greenery density were the most important factors with a negative association with UHI intensities in both seasons. |
Description | Conference Theme: Emerging Patterns This journal vol. entitled: Spatial Statistics Conference 2015 |
Persistent Identifier | http://hdl.handle.net/10722/218234 |
ISSN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wong, PYP | - |
dc.contributor.author | Lai, PC | - |
dc.contributor.author | Hart, MA | - |
dc.date.accessioned | 2015-09-18T06:31:17Z | - |
dc.date.available | 2015-09-18T06:31:17Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 2015 Spatial Statistics Conference, Avignon, France, 9-12 June 2015. In Procedia Environmental Sciences, 2015, v. 26, p. 91-94 | - |
dc.identifier.issn | 1878-0296 | - |
dc.identifier.uri | http://hdl.handle.net/10722/218234 | - |
dc.description | Conference Theme: Emerging Patterns | - |
dc.description | This journal vol. entitled: Spatial Statistics Conference 2015 | - |
dc.description.abstract | Urban Heat Islands (UHI) represent the air temperature difference between urban and rural areas. This study deployed a network of miniature sensors to capture road-side microclimate data in both summer and winter. Temporal variations indicated UHI were evident for all time scales, with daily highest and lowest UHI at around midnight and noon/early afternoon respectively. Meteorological and environmental factors influencing UHI were also statistically analyzed by automatic linear regression models. Regression results suggested solar radiation and greenery density were the most important factors with a negative association with UHI intensities in both seasons. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. | - |
dc.relation.ispartof | Procedia Environmental Sciences | - |
dc.rights | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Microclimate variation | - |
dc.subject | Urban heat islands | - |
dc.subject | Automatic linear regression | - |
dc.title | Temporal statistical analysis of urban heat islands at the microclimate level | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wong, PYP: paulinaw@connect.hku.hk | - |
dc.identifier.email | Lai, PC: pclai@hku.hk | - |
dc.identifier.email | Hart, MA: mhart@hku.hk | - |
dc.identifier.authority | Lai, PC=rp00565 | - |
dc.identifier.authority | Hart, MA=rp00645 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1016/j.proenv.2015.05.006 | - |
dc.identifier.hkuros | 252343 | - |
dc.identifier.volume | 26 | - |
dc.identifier.spage | 91 | - |
dc.identifier.epage | 94 | - |
dc.identifier.isi | WOS:000380492800018 | - |
dc.publisher.place | Netherlands | - |
dc.customcontrol.immutable | sml 151216 | - |
dc.identifier.issnl | 1878-0296 | - |