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Modification of Heat-Related Mortality in an Elderly Urban Population by Vegetation (Urban Green) and Proximity to Water (Urban Blue): Evidence from Lisbon, Portugal

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Burkart, Katrin, Meier, Fred, Schneider, Alexandra, Breitner, Susanne, Canário, Paulo, Alcoforado, Maria João, Scherer, Dieter, Endlicher, Wilfried·2016·Environmental Health Perspectives

Abstract

BACKGROUND: Urban populations are highly vulnerable to the adverse effects of heat, with heat-related mortality showing intra-urban variations that are likely due to differences in urban characteristics and socioeconomic status. OBJECTIVES: We investigated the influence of urban green and urban blue, that is, urban vegetation and water bodies, on heat-related excess mortality in the elderly > 65 years old in Lisbon, Portugal, between 1998 and 2008. METHODS: We used remotely sensed data and geographic information to determine the amount of urban vegetation and the distance to bodies of water (the Atlantic Ocean and the Tagus Estuary). Poisson generalized additive models were fitted, allowing for the interaction between equivalent temperature [universal thermal climate index (UTCI)] and quartiles of urban greenness [classified using the Normalized Difference Vegetation Index (NDVI)] and proximity to water (≤ 4 km vs. > 4 km), while adjusting for potential confounders. RESULTS: The association between mortality and a 1°C increase in UTCI above the 99th percentile (24.8°C) was stronger for areas in the lowest NDVI quartile (14.7% higher; 95% CI: 1.9, 17.5%) than for areas in the highest quartile (3.0%; 95% CI: 2.0, 4.0%). In areas > 4 km from water, a 1°C increase in UTCI above the 99th percentile was associated with a 7.1% increase in mortality (95% CI: 6.2, 8.1%), whereas in areas ≤ 4 km from water, the estimated increase in mortality was only 2.1% (95% CI: 1.2, 3.0%). CONCLUSIONS: Urban green and blue appeared to have a mitigating effect on heat-related mortality in the elderly population in Lisbon. Increasing the amount of vegetation may be a good strategy to counteract the adverse effects of heat in urban areas. Our findings also suggest potential benefits of urban blue that may be present several kilometers from a body of water. CITATION: Burkart K, Meier F, Schneider A, Breitner S, Canário P, Alcoforado MJ, Scherer D, Endlicher W. 2016. Modification of heat-related mortality in an elderly urban population by vegetation (urban green) and proximity to water (urban blue): evidence from Lisbon, Portugal. Environ Health Perspect 124:927-934; http://dx.doi.org/10.1289/ehp.1409529.

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Research works printed but not linked: 55

  1. Alcoforado, 2006, Nocturnal urban heat island in Lisbon (Portugal): main features and modelling attempts., Theor Appl Climatol, 84, 151, 10.1007/s00704-005-0152-1 · doi:10.1007/s00704-005-0152-1
  2. Alcoforado, 2009, Application of climatic guidelines to urban planning: the example of Lisbon (Portugal)., Landsc Urban Plan, 90, 56, 10.1016/j.landurbplan.2008.10.006 · doi:10.1016/j.landurbplan.2008.10.006
  3. Alcoforado, 2014, Lisbon heat island: statistical study (2004–2012)., Finisterra, 49, 61
  4. Andrade, 2008, Microclimatic variation of thermal comfort in a district of Lisbon (Telheiras) at night., Theor Appl Climatol, 92, 225, 10.1007/s00704-007-0321-5 · doi:10.1007/s00704-007-0321-5
  5. Andrade, 2007, A climatic study of an urban green space: the Gulbenkian Park in Lisbon (Portugal)., Finisterra, 42, 27
  6. Baccini, 2008, Heat effects on mortality in 15 European cities., Epidemiology, 19, 711, 10.1097/EDE.0b013e318176bfcd · DOI · Paper page
  7. Barnett, 2010, What measure of temperature is the best predictor of mortality?, Environ Res, 110, 604, 10.1016/j.envres.2010.05.006 · DOI · Paper page
  8. Basu, 2009, High ambient temperature and mortality: a review of epidemiologic studies from 2001 to 2008., Environ Health, 8, 40, 10.1186/1476-069X-8-40 · DOI · Paper page
  9. Basu, 2002, Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence., Epidemiol Rev, 24, 190, 10.1093/epirev/mxf007 · DOI · Paper page
  10. Bernatzky, 1982, The contribution of tress and green spaces to a town climate., Energy Build, 5, 1, 10.1016/0378-7788(82)90022-6 · doi:10.1016/0378-7788(82)90022-6
  11. Burkart, 2014, An analysis of heat effects in different subpopulations of Bangladesh., Int J Biometeorol, 58, 227, 10.1007/s00484-013-0668-5 · DOI
  12. Burkart, 2013, Interactive short-term effects of equivalent temperature and air pollution on human mortality in Berlin and Lisbon., Environ Pollut, 183, 54, 10.1016/j.envpol.2013.06.002 · DOI
  13. Burkart, 2011, The effect of atmospheric thermal conditions and urban thermal pollution on all-cause and cardiovascular mortality in Bangladesh., Environ Pollut, 159, 2035, 10.1016/j.envpol.2011.02.005 · DOI
  14. Carlson, 1997, On the relation between NDVI, fractional vegetation cover, and leaf area index., Remote Sens Environ, 62, 241, 10.1016/S0034-4257(97)00104-1 · DOI · Paper page
  15. Clarke, 1972, Some effects of the urban structure on heat mortality., Environ Res, 5, 93, 10.1016/0013-9351(72)90023-0 · DOI · Paper page
  16. D’Ippoliti, 2010, The impact of heat waves on mortality in 9 European cities: results from the EuroHEAT project., Environmental Health Environ Health, 9, 37, 10.1186/1476-069X-9-37 · DOI · Paper page
  17. Endlicher W, 2012, Einführung in die Stadtökologie: Grundzüge des urbanen Mensch-Umwelt-Systems [in German]., 10.36198/9783838536408 · doi:10.36198/9783838536408
  18. Fiala, 2012, UTCI-Fiala multi-node model of human heat transfer and temperature regulation., Int J Biometeorol, 56, 429, 10.1007/s00484-011-0424-7 · DOI · Paper page
  19. Gabriel, 2011, Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany., Environ Pollut, 159, 2044, 10.1016/j.envpol.2011.01.016 · DOI · Paper page
  20. Gasparrini, 2011, Distributed lag linear and non-linear models in R: the package dlnm., J Stat Softw, 43, 1, 10.18637/jss.v043.i08 · DOI · Paper page
  21. Gasparrini, 2010, Distributed lag non-linear models., Stat Med, 29, 2224, 10.1002/sim.3940 · DOI · Paper page
  22. Georgi, 2010, The contribution of urban green spaces to the improvement of environment in cities: case study of Chania, Greece., Build Environ, 45, 1401, 10.1016/j.buildenv.2009.12.003 · DOI · Paper page
  23. Gronlund, 2015, Vulnerability to extreme heat by sociodemographic characteristics and area green space among the elderly in Michigan, 1990-2007., Environ Res, 136, 449, 10.1016/j.envres.2014.08.042 · DOI · Paper page
  24. Gross, 2012, Effects of different vegetation on temperature in an urban building environment. Micro-scale numerical experiments., Meteorologische Zeitschrift, 21, 399, 10.1127/0941-2948/2012/0363 · doi:10.1127/0941-2948/2012/0363
  25. Hondula, 2014, Heat-related morbidity in Brisbane, Australia: spatial variation and area-level predictors., Environ Health Perspect, 122, 831, 10.1289/ehp.1307496 · DOI
  26. Huang, 1987, The potential of vegetation in reducing summer cooling loads in residential buildings., J Clim Appl Meteor, 26, 1103, 10.1175/1520-0450(1987)026<1103:TPOVIR>2.0.CO;2 · DOI · Paper page
  27. Klein Rosenthal, 2014, Intra-urban vulnerability to heat-related mortality in New York City, 1997–2006., Health Place, 30, 45, 10.1016/j.healthplace.2014.07.014 · DOI · Paper page
  28. Kuras, 2015, Heterogeneity in individually experienced temperatures (IETs) within an urban neighborhood: insights from a new approach to measuring heat exposure., Int J Biometeorol, 59, 1363, 10.1007/s00484-014-0946-x · DOI
  29. Kuttler W, 1998, Stadtklima.
  30. Kuttler, 2004, Stadtklima [in German]., UWSF–Z Umweltchem Ökotox, 16, 263, 10.1065/uwsf2004.08.083 · DOI
  31. Lopes, 2013, Lisbon urban heat island updated: new highlights about the relationships between thermal patterns and wind regimes., Advances in Meteorology, 487695, 10.1155/2013/487695 · DOI
  32. Matzarakis, 2007, Modelling radiation fluxes in simple and complex environments—application of the RayMan model., Int J Biometeorol, 51, 323, 10.1007/s00484-006-0061-8 · DOI · Paper page
  33. Nowak DJ, McHale PJ, Ibarra M, Crane D, Stevens JC, Luley CJ, 1998, Modeling the effects of urban vegetation on air pollution., 399
  34. ORSIF (Observatoire régional de santé d’Ile-de-France), 2003, Conséquences sanitaires de la canicule d’août 2003 en Ile-de-France [in French]., Revue d Épidémiologie et de Santé Publique, 52, 93
  35. Oke, 1973, City size and the urban heat island., Atmos Environ (1967), 7, 769, 10.1016/0004-6981(73)90140-6 · DOI · Paper page
  36. Oliveira, 2011, The cooling effect of green spaces as a contribution to the mitigation of urban heat: a case study in Lisbon., Build Environ, 46, 2186, 10.1016/j.buildenv.2011.04.034 · DOI · Paper page
  37. Papanastasiou, 2010, Temperature, comfort and pollution levels during heat waves and the role of sea breeze., Int J Biometeorol, 54, 307, 10.1007/s00484-009-0281-9 · DOI
  38. Saaroni, 2000, Spatial distribution and microscale characteristics of the urban heat island in Tel-Aviv, Israel., Landsc Urban Plan, 48, 1, 10.1016/S0169-2046(99)00075-4 · DOI · Paper page
  39. Saneinejad, 2014, Comparative assessment of various heat island mitigation measures., Build Environ, 73, 162, 10.1016/j.buildenv.2013.12.013 · DOI
  40. Santamouris M, 2001, The role of green spaces., 145
  41. Schuman, 1972, Patterns of urban heat-wave deaths and implications for prevention: data from New York and St. Louis during July, 1966., Environ Res, 5, 59, 10.1016/0013-9351(72)90020-5 · DOI
  42. Schuster, 2014, Heat mortality in Berlin – spatial variability at the neighborhood scale., Urban Climate, 10, 134, 10.1016/j.uclim.2014.10.008 · DOI
  43. Shashua-Bar, 2009, The cooling efficiency of urban landscape strategies in a hot dry climate., Landsc Urban Plan, 92, 179, 10.1016/j.landurbplan.2009.04.005 · DOI · Paper page
  44. Smargiassi, 2009, Variation of daily warm season mortality as a function of micro-urban heat islands., J Epidemiol Community Health, 63, 659, 10.1136/jech.2008.078147 · DOI · Paper page
  45. Smoyer, 2000, Heat-stress-related mortality in five cities in Southern Ontario: 1980–1996., Int J Biometeorol, 44, 190, 10.1007/s004840000070 · DOI · Paper page
  46. Souch, 1993, The effect of trees on summertime below canopy urban climates: a case study Bloomington, Indiana., J Arboriculture, 19, 303
  47. Streutker, 2003, Satellite-measured growth of the urban heat island of Houston, Texas., Remote Sensing of Environment, 85, 282, 10.1016/S0034-4257(03)00007-5 · DOI · Paper page
  48. Tan, 2010, The urban heat island and its impact on heat waves and human health in Shanghai., Int J Biometeorol, 54, 75, 10.1007/s00484-009-0256-x · DOI · Paper page
  49. Tucker, 1979, Red and photographic infrared linear combinations for monitoring vegetation., Remote Sensing of Environment, 8, 127, 10.1016/0034-4257(79)90013-0 · DOI · Paper page
  50. Uejio, 2011, Intra-urban societal vulnerability to extreme heat: the role of heat exposure and the built environment, socioeconomics, and neighborhood stability., Health Place, 17, 498, 10.1016/j.healthplace.2010.12.005 · DOI · Paper page
  51. Unger, 2004, Intra-urban relationship between surface geometry and urban heat island: review and new approach., Climate Research, 27, 253, 10.3354/cr027253 · DOI
  52. Vasconcelos J, Lopes A . 2006. Recent urban development trends and its implication on the estuarine breezes in Lisbon, Portugal.In: Proceedings of the 6th International Conference on Urban Climate, 12–16 June 2006, Göteborg, Sweden. Göteborg, Sweden466-469.
  53. Wan, 2008, New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products., Remote Sensing of Environment, 112, 59, 10.1016/j.rse.2006.06.026 · DOI · Paper page
  54. Xu, 2013, Differences on the effect of heat waves on mortality by sociodemographic and urban landscape characteristics., J Epidemiol Community Health, 67, 519, 10.1136/jech-2012-201899 · DOI
  55. Zhang, 2012, Comparing exposure metrics for classifying ‘dangerous heat’ in heat wave and health warning systems., Environ Int, 46, 23, 10.1016/j.envint.2012.05.001 · DOI

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Metadata

Authors
Burkart, K., Meier, F., Schneider, A., Breitner, S., Canário, P., Alcoforado, M. J., Scherer, D., & Endlicher, W.
Venue
Environmental Health Perspectives
Published
2016-07
Volume
124
Issue
7
Pages
927-934
ISSN
  • 0091-6765 (ISSN-L)
  • 1552-9924
OpenAlex
W2272087050
Cited by
200
References
0
FWCI
7.06
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Modification of Heat-Related Mortality in an Elderly Urban Population by Vegetation (Urban Green) and Proximity to Water (Urban Blue): Evidence from Lisbon, Portugal. https://app.cochat.ai/papers/10.1289/ehp.1409529
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Burkart, K., Meier, F., Schneider, A., Breitner, S., Canário, P., Alcoforado, M. J., Scherer, D., & Endlicher, W. (2016). Modification of Heat-Related Mortality in an Elderly Urban Population by Vegetation (Urban Green) and Proximity to Water (Urban Blue): Evidence from Lisbon, Portugal. Environmental Health Perspectives. https://doi.org/10.1289/ehp.1409529

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