Abstract
In this study, the heat vulnerability index has been developed for a megacity Lahore. Although Pakistan stands at 12th rank among highly exposed countries to climate change, very little research has been dedicated in exploring the heat-related vulnerability of exposed populations. We have applied the principal component analysis with varimax rotation on well-established indicators of exposure, sensitivity, and adaptive capacity to determine the heat vulnerability. This study has resulted in two principal components sharing 70.4% variance. Principal component 1 comprises pre-existing illness, population density, housing density, education, and normalized difference vegetation index with following significant (> 0.4) loading values 0.91, 0.91, 0.91, 0.57, and − 0.773, respectively, and principal component 2 combines the nature of housing material (0.964) followed by the water availability (0.962) and minority status (0.539). The hot spot analysis and overlay analysis have also been applied on the extracted component, and the resultant co-occurrence of high variable class, high vulnerability, and hot spots of vulnerability helped to grip those areas which imperatively require the applications of heat-related health interventions. The heat vulnerability index developed in our study clarifies that the most vulnerable populations are confined in the central vicinities of Lahore and less vulnerable are those which inhibit towards the outskirts of the city.
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References
Akhter ST, Noon MH (2016) Modeling spillover effects of leapfrog development and urban sprawl upon institutional delinquencies: a case for Pakistan. Procedia Soc Behav Sci 216:279–294. https://doi.org/10.1016/j.sbspro.2015.12.039
Ali J, Syed KH, Gabriel HF, Saeed F, Ahmad B, Bukhari SAA (2018) Centennial heat wave projections over Pakistan using ensemble NEX GDDP data set. Earth Syst Environ 2:437–454. https://doi.org/10.1007/s41748-018-0064-8
Araos M, Ford J, Berrang-Ford L, Biesbroek R, Moser S (2017) Climate change adaptation planning for Global South megacities: the case of Dhaka. J Environ Policy Plan 19:682–696. https://doi.org/10.1080/1523908X.2016.1264873
Aubrecht C, Özceylan D (2013) Identification of heat risk patterns in the U.S. National Capital Region by integrating heat stress and related vulnerability. Environ Int 56:65–77. https://doi.org/10.1016/j.envint.2013.03.005
Azhar G, Saha S, Ganguly P, Mavalankar D, Madrigano J (2017) Heatwave vulnerability mapping for India. Int J Environ Res Public Health 14(4):357. https://doi.org/10.3390/ijerph14040357
Bai L, Ding G, Gu S, Bi P, Su B, Qin D, Xu G, Liu Q (2014) The effects of summer temperature and heat waves on heat-related illness in a coastal city of China, 2011-2013. Environ Res 132:212–219. https://doi.org/10.1016/j.envres.2014.04.002
Ballester F, Corella D, Pérez-Hoyos S et al (1997) Mortality as a function of temperature. A study in Valencia, Spain, 1991-1993. Int J Epidemiol 26:551–561. https://doi.org/10.1093/ije/26.3.551
Bao J, Li X, Yu C (2015) The construction and validation of the heat vulnerability index, a review. Int J Environ Res Public Health 12(7):7220–7234. https://doi.org/10.3390/ijerph120707220
Bhalli M, Ghaffar A (2015) Use of geospatial techniques in monitoring urban expansion and land use change analysis: a case of Lahore, Pakistan. J Basic Appl Sci 11:265–273. https://doi.org/10.6000/1927-5129.2015.11.38
Birkmann J, Schneiderbauer S, Pelling M et al (2013) Framing vulnerability, risk and societal responses: the MOVE framework. Nat Hazards 67:193–211. https://doi.org/10.1007/s11069-013-0558-5
Brown H, Proust K, Newell B, Spickett J, Capon T, Bartholomew L (2018) Cool communities—urban density, trees, and health. Int J Environ Res Public Health 15:1547. https://doi.org/10.3390/ijerph15071547
Depietri Y, Welle T, Renaud FG (2013) Social vulnerability assessment of the Cologne urban area ( Germany ) to heat waves : links to ecosystem services. Int J Disaster Risk Reduct 6:98–117. https://doi.org/10.1016/j.ijdrr.2013.10.001
Dugord P, Lauf S, Schuster C, Kleinschmit B (2014) Land use patterns, temperature distribution, and potential heat stress risk – the case study Berlin, Germany. Comput Environ Urban Syst 48:86–98. https://doi.org/10.1016/j.compenvurbsys.2014.07.005
Eliasson I, Svensson MK (2003) Spatial air temperature variations and urban land use - a statistical approach. Meteorol Appl 10:135–149. https://doi.org/10.1017/S1350482703002056
Eliasson I, Upmanis H (2000) Nocturnal airflow from urban parks-implications for city ventilation. Theor Appl Climatol 66:95–107. https://doi.org/10.1007/s007040070035
Filho WL, Icaza LE, Emanche VO, Al-Amin AQ (2017) An evidence-based review of impacts, strategies and tools to mitigate urban heat islands. Int J Environ Res Public Health 14:1–29. https://doi.org/10.3390/ijerph14121600
Founda D, Santamouris M (2017) Synergies between urban heat island and heat waves in Athens (Greece), during an extremely hot summer (2012). Sci Rep 7:1–11. https://doi.org/10.1038/s41598-017-11407-6
Gabriel KMA, Endlicher WR (2011) Urban and rural mortality rates during heat waves in Berlin. Environ Pollut 159:2044–2050. https://doi.org/10.1016/j.envpol.2011.01.016
Gascon M, Triguero-Mas M, Martínez D, Dadvand P, Rojas-Rueda D, Plasència A, Nieuwenhuijsen MJ (2016) Residential green spaces and mortality: a systematic review. Environ Int 86:60–67. https://doi.org/10.1016/j.envint.2015.10.013
Ghumman U, Horney J (2016) Characterizing the impact of extreme heat on mortality, Karachi, Pakistan, June 2015. Prehosp Disaster Med 31:263–266. https://doi.org/10.1017/S1049023X16000273
Hajat S, Kosatky T (2010) Heat-related mortality: a review and exploration of heterogeneity. J Epidemiol Community Health 64:753–760. https://doi.org/10.1136/jech.2009.087999
Harlan SL, Brazel AJ, Prashad L, Stefanov WL, Larsen L (2006) Neighborhood microclimates and vulnerability to heat stress. Soc Sci Med 63:2847–2863. https://doi.org/10.1016/j.socscimed.2006.07.030
Hay JE, Easterling D, Ebi KL, Kitoh A, Parry M (2016) Introduction to the special issue : observed and projected changes in weather and climate extremes. Weather Clim Extrem 11:1–3. https://doi.org/10.1016/j.wace.2015.08.006
Hess JJ, McDowell JZ, Luber G (2012) Integrating climate change adaptation into public health practice: using adaptive management to increase adaptive capacity and build resilience. Environ Health Perspect 120:171–179. https://doi.org/10.1289/ehp.1103515
Hondula DM, Davis RE, Leisten MJ, Saha MV, Veazey LM, Wegner CR (2012) Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983-2008: a case-series analysis. Environ Health 11:16. https://doi.org/10.1186/1476-069X-11-16
Im ES, Pal JS, Eltahir EAB (2017) Deadly heat waves projected in the densely populated agricultural regions of South Asia. Sci Adv 3:1–8. https://doi.org/10.1126/sciadv.1603322
Imhoff ML, Zhang P, Wolfe RE, Bounoua L (2010) Remote sensing of environment remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sens Environ 114:504–513. https://doi.org/10.1016/j.rse.2009.10.008
Inostroza L, Palme M, De La Barrera F (2016) A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile. PLoS One 11:1–26. https://doi.org/10.1371/journal.pone.0162464
IPCC (2014) Summary for policymakers. Clim Chang 2014 impacts adapt vulnerability - Contrib WorkGr II to fifth assess rep 1–32. https://doi.org/10.1016/j.renene.2009.11.012
IUCN (International Union for Conservation of Nature) (2009) Climate change an economic threat, say experts http://www.iucn.org/content/climate-change-economic-threat-say-experts 2019.04.20
Jesdale BM, Morello-Frosch R, Cushing L (2013) The racial/ethnic distribution of heat risk-related land cover in relation to residential segregation. Environ Health Perspect 121:811–817. https://doi.org/10.1289/ehp.1205919
Jin M, Dickinson RE, Zhang DL (2005) The footprint of urban areas on global climate as characterized by MODIS. J Clim 18:1551–1565. https://doi.org/10.1175/JCLI3334.1
Johnson DP, Stanforth A, Lulla V, Luber G (2012) Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data. Appl Geogr 35:23–31. https://doi.org/10.1016/j.apgeog.2012.04.006
Jolliffe IT (2002) Principal Component Analysis. Springer series in Statistics, second edition. Springer, New York
Kenny GP, Sigal RJ, McGinn R (2016) Body temperature regulation in diabetes. Temperature 3:119–145. https://doi.org/10.1080/23328940.2015.1131506
Kestens Y, Brand A, Fournier M, Goudreau S, Kosatsky T, Maloley M, Smargiassi A (2011) Modelling the variation of land surface temperature as determinant of risk of heat-related health events. Int J Health Geogr 10:7. https://doi.org/10.1186/1476-072X-10-7
Khan N, Shahid S, Ismail T, Ahmed K, Nawaz N (2018) Trends in heat wave related indices in Pakistan. Stoch Env Res Risk A 33:287–302. https://doi.org/10.1007/s00477-018-1605-2
Kim S, Ryu Y (2015) Describing the spatial patterns of heat vulnerability from urban design perspectives. Int J Sustain Dev World Ecol 22:189–200. https://doi.org/10.1080/13504509.2014.1003202
Kim HG, Lee DK, Jung H, Kil SH, Park JH, Park C, Tanaka R, Seo C, Kim H, Kong W, Oh K, Choi J, Oh YJ, Hwang G, Song CK (2016) Finding key vulnerable areas by a climate change vulnerability assessment. Nat Hazards 81:1683–1732. https://doi.org/10.1007/s11069-016-2151-1
Kotthaus S, Grimmond CSB (2014) Energy exchange in a dense urban environment - part I: temporal variability of long-term observations in central London. Urban Clim 10:261–280. https://doi.org/10.1016/j.uclim.2013.10.002
Liu W, Ji C, Zhong J, Jiang X, Zheng Z (2007) Temporal characteristics of the Beijing urban heat island. Theor Appl Climatol 87:213–221. https://doi.org/10.1007/s00704-005-0192-6
Loughnan M, Nicholls N, Tapper NJ (2012) Mapping heat health risks in urban areas. Int J Popul Res 2012:1–12. https://doi.org/10.1155/2012/518687
Malik SM, Awan H, Khan N (2012) Mapping vulnerability to climate change and its repercussions on human health in Pakistan. Glob Health 8:1. https://doi.org/10.1186/1744-8603-8-31
Méndez-Lázaro P, Muller-Karger FE, Otis D, McCarthy MJ, Rodríguez E (2018) A heat vulnerability index to improve urban public health management in San Juan, Puerto Rico. Int J Biometeorol 62:709–722. https://doi.org/10.1007/s00484-017-1319-z
Nayak SG, Shrestha S, Kinney PL, Ross Z, Sheridan SC, Pantea CI, Hsu WH, Muscatiello N, Hwang SA (2017) Development of a heat vulnerability index for New York State. Public Health 161:127–137. https://doi.org/10.1016/j.puhe.2017.09.006
Nuruzzaman M (2015) Urban heat island: causes, effects and mitigation measures - a review. Int J Environ Monit Anal 3:67. https://doi.org/10.11648/j.ijema.20150302.15
Ord JK, Getis A (1995) Local spatial autocorrelation statistics: distributional issues and application. Georaphical analysis 27:286–306
Palme M, Guerra J, Alfaro S (2014) Thermal performance of traditional and new concept houses in the ancient village of San Pedro de Atacama and surroundings. Sustain 6:3321–3337. https://doi.org/10.3390/su6063321
Panda DK, AghaKouchak A, Ambast SK (2017) Increasing heat waves and warm spells in India, observed from a multiaspect framework. J Geophys Res 122:3837–3858. https://doi.org/10.1002/2016JD026292
Patino JE, Duque JC (2013) Computers, Environment and Urban Systems A review of regional science applications of satellite remote sensing in urban settings. Comput Environ Urban Syst 37:1–17. https://doi.org/10.1016/j.compenvurbsys.2012.06.003
Pyrgou A, Santamouris M (2018) Increasing probability of heat-related mortality in a Mediterranean city due to urban warming. Int J Environ Res Public Health 15. https://doi.org/10.3390/ijerph15081571
Raghavendra A, Dai A, Milrad SM, Cloutier-Bisbee SR (2019) Floridian heatwaves and extreme precipitation: future climate projections. Clim Dyn 52:495–508. https://doi.org/10.1007/s00382-018-4148-9
Rana IA, Bhatti SS (2018) Lahore, Pakistan – urbanization challenges and opportunities. Cities 72:348–355. https://doi.org/10.1016/j.cities.2017.09.014
Reckien D, Wildenberg M, Bachhofer M (2013) Subjective realities of climate change: how mental maps of impacts deliver socially sensible adaptation options. Sustain Sci 8:159–172. https://doi.org/10.1007/s11625-012-0179-z
Reid CE, O’Neill MS, Gronlund CJ, Brines SJ, Brown DG, Diez-Roux AV, Schwartz J (2009) Mapping community determinants of heat vulnerability. Environ Health Perspect 117:1730–1736. https://doi.org/10.1289/ehp.0900683
Reid CE, Mann JK, Alfasso R, English PB, King GC, Lincoln RA, Margolis HG, Rubado DJ, Sabato JE, West NL, Woods B, Navarro KM, Balmes JR (2012) Evaluation of a heat vulnerability index on abnormally hot days : an environmental public health tracking study. Environ Health Perspect 120:715–720. https://doi.org/10.1289/ehp.1103766
Revich B, Shaposhnikov D (2008) Temperature-induced excess mortality in Moscow, Russia. Int J Biometeorol 52:367–374. https://doi.org/10.1007/s00484-007-0131-6
Romero-lankao P, Qin H, Dickinson K (2012) Urban vulnerability to temperature-related hazards : a meta-analysis and meta-knowledge approach. Glob Environ Chang 22:670–683. https://doi.org/10.1016/j.gloenvcha.2012.04.002
Sajjad SH, Hussain B, Ahmed Khan M, Raza A, Zaman B, Ahmed I (2009) On rising temperature trends of Karachi in Pakistan. Clim Chang 96:539–547. https://doi.org/10.1007/s10584-009-9598-y
Schwarz N, Schlink U, Franck U, Großmann K (2012) Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators – an application for the city of Leipzig (Germany). Ecol Indic 18:693–704. https://doi.org/10.1016/j.ecolind.2012.01.001
Semenza J, McCullough JE, Flanders WD, McGeehin M, Lumpkin JR (1999) Excess hospital admissions during the July 1995 heat wave in Chicago. Am J Prev Med 16:269–277. https://doi.org/10.1016/S0749-3797(99)00025-2
Shafqat MN, Samie Maqbool A, Eqani SAMAS, Ahmed R, Ahmed H (2016) Trends of climate change in the Lower Indus Basin region of Pakistan. Int J Clim Chang Strateg Manag 8:718–731. https://doi.org/10.1108/ijccsm-07-2015-0098
Sharifi E, Boland J (2017) Heat resilience in public space and its applications in healthy and low carbon cities. Procedia Eng 180:944–954. https://doi.org/10.1016/j.proeng.2017.04.254
Shirazi SA, Kazmi JH (2016) Analysis of socio-environmental impacts of the loss of urban trees and vegetation in Lahore, Pakistan: a review of public perception. Ecol Process 5:5. https://doi.org/10.1186/s13717-016-0050-8
Smoyer KE (1998) Putting the risk in its place: methodological considerations for investigating extreme event health risk. Soc Sci Med 47:1809–1824. https://doi.org/10.1016/S0277-9536(98)00237-8
Smoyer-Tomic KE, Kuhn R, Hudson A (2003) Heat wave hazards: an overview of heat wave impacts in Canada. Nat Hazards 28:465–486. https://doi.org/10.1023/A:1022946528157
Tam BY, Gough WA, Mohsin T (2015) The impact of urbanization and the urban heat island effect on day to day temperature variation. Urban Clim 12:1–10. https://doi.org/10.1016/j.uclim.2014.12.004
Tate E, Cutter SL (2010) Integrated multihazard mapping. Environ Plann B Plann Design 37:646e663 37:646–664. https://doi.org/10.1068/b35157
Tol RSJ, Yohe G (2002) Indicators for social and economic coping capacity--moving toward a working definition of adaptive capacity. Glob Environ Chang 12:25–40. https://doi.org/10.1016/S0959-3780(01)00026-7
Uejio CK, Wilhelmi OV, Golden JS, Mills DM, Gulino SP, Samenow JP (2011) Intra-urban societal vulnerability to extreme heat : the role of heat exposure and the built environment, socioeconomics, and neighbourhood stability. Health Place 17(2):498–507. https://doi.org/10.1016/j.healthplace.2010.12.005
Voelkel J (2018) Assessing vulnerability to urban heat : a study of disproportionate heat exposure and access to refuge by socio-demographic status in Portland. Oregon 15(4):640. https://doi.org/10.3390/ijerph15040640
Weber S, Sadoff N, Zell E, De Sherbinin A (2015) Policy-relevant indicators for mapping the vulnerability of urban populations to extreme heat events : a case study of Philadelphia. Appl Geogr 63:231–243. https://doi.org/10.1016/j.apgeog.2015.07.006
Wilhelmi OV, Hayden MH (2010) Connecting people and place: a new framework for reducing urban vulnerability to extreme heat. Environ Res Lett 5. https://doi.org/10.1088/1748-9326/5/1/014021
Wolf T, McGregor G (2013) The development of a heat wave vulnerability index for London, United Kingdom. Weather Clim Extrem 1:59–68. https://doi.org/10.1016/j.wace.2013.07.004
Zhang X., Zhong T., Wang K., Cheng Z (2009) Scaling of impervious surface and vegetation as indicator to urban land surfacetemperature using satellite data. International journal of Remote sensing 30:841–859. https://doi.org/10.1080/01431160802305219
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Zuhra, S.S., Tabinda, A.B. & Yasar, A. Appraisal of the heat vulnerability index in Punjab: a case study of spatial pattern for exposure, sensitivity, and adaptive capacity in megacity Lahore, Pakistan. Int J Biometeorol 63, 1669–1682 (2019). https://doi.org/10.1007/s00484-019-01784-0
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DOI: https://doi.org/10.1007/s00484-019-01784-0