This repository houses peer-reviewed literature, data sets, reports, and other materials generated by researchers, practitioners, and other regional stakeholders that may be informative for local and regional efforts mitigating the adverse impacts of heat. The collection is intended to serve as a resource for anyone looking for information on top research findings, reports, or initiatives related to heat and air quality. This includes community, local, state, and regional partners and other interested parties contributing to heat and air quality planning, preparedness, and response activities.

More Information: The Phoenix Regional Heat and Air Quality Knowledge Repository is product of the Healthy Urban Environments (HUE) initiative in partnership with the Urban Climate Research Center. 

Displaying 1 - 1 of 1
Filtering by

Clear all filters

141433-Thumbnail Image.png
Description

This study seeks to determine the role of land architecture—the composition and configuration of land cover—as well as cadastral/demographic/economic factors on land surface temperature (LST) and the surface urban heat island effect of Phoenix, Arizona. It employs 1 m National Agricultural Imagery Program data of land-cover with 120mLandsat-derived land surface

This study seeks to determine the role of land architecture—the composition and configuration of land cover—as well as cadastral/demographic/economic factors on land surface temperature (LST) and the surface urban heat island effect of Phoenix, Arizona. It employs 1 m National Agricultural Imagery Program data of land-cover with 120mLandsat-derived land surface temperature, decomposed to 30 m, a new measure of configuration, the normalized moment of inertia, and U.S. Census data to address the question for two randomly selected samples comprising 523 and 545 residential neighborhoods (census blocks) in the city. The results indicate that, contrary to most other studies, land configuration has a stronger influence on LST than land composition. In addition, both land configuration and architecture combined with cadastral, demographic, and economic variables, capture a significant amount of explained variance in LST. The results indicate that attention to land architecture in the development of or reshaping of neighborhoods may ameliorate the summer extremes in LST.

ContributorsLi, Xiaoxiao (Author) / Li, Wenwen (Author) / Middel, Ariane (Author) / Harlan, Sharon L. (Author) / Brazel, Anthony J. (Author) / Turner II, B. L. (Author)
Created2015-12-29