2026-09-19T00:45:06Zhttps://ecommons.cornell.edu/server/oai/requestoai:ecommons.cornell.edu:1813/673972026-05-15T19:43:15Zcom_1813_35col_1813_47
Yu, Zhou
Donaghy, Kieran Patrick
Schmidt, Stephan J.
2019-10-15T15:31:03Z
2021-06-05T06:00:17Z
2019-05-30
ProQuest Submission ID: 10559
ProQuest Publication ID: 13884104
https://hdl.handle.net/1813/67397
https://doi.org/10.7298/ym19-t577
11050379
The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation.
en_US
Anthropogenic Heat
Urban Planning and Designing
Regional studies
Remote sensing
Environmental studies
Atmospheric sciences
HOW URBAN DEVELOPMENT CONTRIBUTES TO THERMAL ENVIRONMENT VARIATION ---- A CASE STUDY IN NEW YORK CITY
dissertation or thesis
application/pdf
Regional Science
Cornell University
Master of Science
M.S., Regional Science
https://hdl.handle.net/1813/59810
Publication
Cornell Theses and Dissertations
Yu, Zhou
5893a6ea-7af3-41d7-abc6-04bcd26ab5df
open.access
open.access
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="0cfab978-b179-4e8f-b5ef-45040b2fbbe9">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>en_US</Language>
<Title>HOW URBAN DEVELOPMENT CONTRIBUTES TO THERMAL ENVIRONMENT VARIATION ---- A CASE STUDY IN NEW YORK CITY</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2019-05-30</PublicationDate>
<DOI>https://doi.org/10.7298/ym19-t577</DOI>
<Authors>
<Author>
<DisplayName>Yu, Zhou</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<OrgUnit />
</Publisher>
</Publishers>
<Keyword>Anthropogenic Heat</Keyword>
<Keyword>Urban Planning and Designing</Keyword>
<Keyword>Regional studies</Keyword>
<Keyword>Remote sensing</Keyword>
<Keyword>Environmental studies</Keyword>
<Keyword>Atmospheric sciences</Keyword>
<Abstract>The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>