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International Journal of Biometeorology

, Volume 54, Issue 1, pp 13–22 | Cite as

Modeling effects of urban heat island mitigation strategies on heat-related morbidity: a case study for Phoenix, Arizona, USA

  • Humberto R. Silva
  • Patrick E. Phelan
  • Jay S. Golden
Article

Abstract

A zero-dimensional energy balance model was previously developed to serve as a user-friendly mitigation tool for practitioners seeking to study the urban heat island (UHI) effect. Accordingly, this established model is applied here to show the relative effects of four common mitigation strategies: increasing the overall (1) emissivity, (2) percentage of vegetated area, (3) thermal conductivity, and (4) albedo of the urban environment in a series of percentage increases by 5, 10, 15, and 20% from baseline values. In addition to modeling mitigation strategies, we present how the model can be utilized to evaluate human health vulnerability from excessive heat-related events, based on heat-related emergency service data from 2002 to 2006. The 24-h average heat index is shown to have the greatest correlation to heat-related emergency calls in the Phoenix (Arizona, USA) metropolitan region. The four modeled UHI mitigation strategies, taken in combination, would lead to a 48% reduction in annual heat-related emergency service calls, where increasing the albedo is the single most effective UHI mitigation strategy.

Keywords

Health vulnerability Heat wave Urban heat island Morbidity Emergency medical dispatch Numerical modeling 

Notes

Acknowledgments

This work was supported by the National Center for Environmental Health at the US Centers for Disease Control and Prevention (Contract 30-07184-03 CDC / Task Order 0078), and the National Center of Excellence on SMART Innovations (www.ASUsmart.com) at Arizona State University. H.R.S. gratefully acknowledges the partial support of this work by the National Consortium for Graduate Degrees for Minorities in Engineering and Science, Inc. in the form of a GEM Doctoral Fellowship.

References

  1. ASHRAE (2004) Handbook of fundamentals. American Society of Heating Refrigeration and Air-Conditioning Engineers, McGraw-Hill, New YorkGoogle Scholar
  2. AZMET (2008) http://ag.arizona.edu/azmet/ [accessed Nov. 3, 2008]
  3. Bhardwaj R, Phelan P, Golden J, Kaloush K (2006) An urban energy balance for the Phoenix, Arizona USA Metropolitan Area. 2006 ASME International Mechanical Engineering Congress and Exposition. Chicago, IL, IMECE2006-15308Google Scholar
  4. Cengel AY (2003) Heat transfer: a practical approach. McGraw-Hill, New YorkGoogle Scholar
  5. Energy Information Administration [EIA] (2008) http://www.eia.doe.gov/ [accessed Nov. 3, 2008]
  6. Envi-met (2008) http://www.envi-met.com/ [accessed Oct. 7, 2008]
  7. Environmental Protection Agency [EPA] (2001) Cooling our communities. Lawrence Berkeley Laboratory, EPAGoogle Scholar
  8. Environmental Protection Agency [EPA] (2008) http://www.heatislandmitigationtool.com/ [accessed Oct. 7, 2008]
  9. Golden JS, Kaloush K (2006) Meso-scale and micro-scale evaluations of surface pavement impacts to the urban heat island effects. Int J Pavement Eng 7:37–52CrossRefGoogle Scholar
  10. Golden JS, Guthrie P, Kaloush K, Britter R, ES4 (2005) The summertime urban heat island hysteresis lag complexity: applying thermodynamics, urban engineering and sustainability research. Sustain Eng 158:197–210Google Scholar
  11. Golden JS, Hartz D, Brazel A, Luber G, Phelan PE (2008) A biometeorology study of climate and heat-related morbidity in Phoenix from 2001 to 2006. Int J Biometeorol 52:471–480CrossRefGoogle Scholar
  12. Grossman-ClarKe S, Zehnder JA, Stefanov WL, Liu Y, Zoldak MA (2005) Urban modifications in a mesoscale meteorological model and the effects on near surface variables in an arid metropolitan region. J Appl Meteorol 44:1281–1297CrossRefGoogle Scholar
  13. Kreyszig E (1999) Advanced Engineering Mathematics. Wiley, New York, pp 1150–1153Google Scholar
  14. Michalakes J, Dudhia J, Gill D, Klemp J, Skamarock W (1998) Design of a next-generation regional weather research and forecast model: towards teracomputing. World Scientific, River Edge, NJ, pp 117–124Google Scholar
  15. Mityakin PL, Pivinskii YE (1980) Properties of quartz-ceramic concrete. Refract Ind Ceram 24:501–505Google Scholar
  16. Pomerantz M, Akbari H, Chen A, Taha H, Rosenfeld AH (1997) Paving materials for heat island mitigation. Ernest Orlando Lawrence Berkeley National Laboratory, LBL-38074Google Scholar
  17. Rosenfeld AH, Akbari H, Bretz S, Fishman B, Kurn DM, Sailor D, Taha H (1995) Mitigation of urban heat island: materials, utility programs, updates. Energy Build 22:255–265CrossRefGoogle Scholar
  18. Sailor D, Lu L (2004) A top-down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas. Atmos Environ 38:2737–2748CrossRefGoogle Scholar
  19. Silva HR, Bhardwaj R, Phelan PE, Golden JS, Grossman-Clarke S (2008) Development of a zero-dimensional mesoscale thermal model for urban climate. J Appl Meteorol Climatol 48:657–668CrossRefGoogle Scholar
  20. Stull RB (1999) Meteorology for scientists and engineers. Brooks Cole, Pacific Grove, CAGoogle Scholar
  21. Taha H, Chang S, Akbari H (2000) Meteorological and air quality impacts of heat island mitigation measures in three U.S. Cities. Lawrence Berkeley National Labortaory, LBNL-44222Google Scholar

Copyright information

© ISB 2009

Authors and Affiliations

  • Humberto R. Silva
    • 1
    • 2
  • Patrick E. Phelan
    • 1
    • 2
  • Jay S. Golden
    • 2
    • 3
  1. 1.Department of Mechanical and Aerospace EngineeringArizona State UniversityTempeUSA
  2. 2.National Center of Excellence on SMART InnovationsArizona State UniversityTempeUSA
  3. 3.School of SustainabilityArizona State UniversityTempeUSA

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