4.4 Article

Human Energy Budget Modeling in Urban Parks in Toronto and Applications to Emergency Heat Stress Preparedness

Journal

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
Volume 51, Issue 9, Pages 1639-1653

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JAMC-D-11-0245.1

Keywords

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Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)

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The current study tests applications of the Comfort Formula (COMFA) energy budget model by assessing the moderating effects of urban parks in contrast to streets, and it also looks at the influence of park types (open or treed). Exploration into energy budget modeling is based on empirical meteorological data collected in Toronto, Ontario, Canada, on fair-weather days plus the effects of a heat wave and climate change, at various metabolic activity levels. Park cooling temperature intensities ranged from 3.9 degrees to 6.0 degrees C, yet human energy budgets were more closely correlated to incoming solar radiation than to air temperature. A strong linear dependence was found, with absorbed radiation (correlation coefficient squared r(2) = 0.858) explaining the largest fraction of energy budget output. Hence, although the four parks that were examined are classified as urban green space, the distinctive treed areas showed a greater budget decrease than did open park areas (-25.5 W m(-2)). The greatest difference in budget decrease was found when modeling the highest metabolic rate, giving -20 W m(-2) for whole park, -32 W m(-2) for treed sections, and -3 W m(-2) in open park areas. These results are intuitive within energy budget modeling and indicate that blocking radiant energy is a vital aspect in lowering high budgets under the conditions tested. Strong empirical support was provided through successful prediction of emergency-response calls during a heat wave in Toronto (5-7 July 2010) and surrounding days. Calls were found to be significantly dependent on the energy budget estimations (r(2) = 0.860). There is great potential for outdoor energy budget modeling as a meaningful guide to heat stress forecasting, future research, and application in bioclimatic urban design for improving thermal comfort.

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