17807 7 96902 3 298555 document 96902 YSSP report_Iulia Marginean_FINAL.pdf application/pdf 9f42a3caf4140973f1e1acc9f1a6b489 MD5 600189 2022-02-21 08:10:54 https://pure.iiasa.ac.at/id/eprint/17807/1/YSSP%20report_Iulia%20Marginean_FINAL.pdf 17807 1 1 application/pdf text en public cc_by_nc_4

YSSP report_Iulia Marginean_FINAL.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/ispreviewThumbnailVersionOf https://pure.iiasa.ac.at/id/document/96902 96910 2 298567 document 96910 medium.jpg image/png 20e3facc8835d47f5b47c29147dfc08a MD5 4811 2022-02-21 08:21:10 https://pure.iiasa.ac.at/id/eprint/17807/4/medium.jpg 17807 4 4 image/png other Thumbnails conversion from text to thumbnail_medium en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/96902 96912 1 298569 document 96912 indexcodes.txt text/x-c++ 6e6ac12bfb9e4343d8560feae0da8a49 MD5 12418 2022-02-21 08:21:17 https://pure.iiasa.ac.at/id/eprint/17807/6/indexcodes.txt 17807 6 6 text/x-c++ other Generate index codes conversion from text to indexcodes en staffonly

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/96902 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/96902 archive 353 disk0/00/01/78/07 2022-02-21 08:11:54 2022-04-01 10:31:17 2022-02-21 08:11:54 monograph show 2 Marginean I. 9443 pub POPJUS prog_ysp The impact of climate change on human health is not distributed evenly with some demographic groups e.g. older adults, people with a low socio-economic status, city inhabitants being more susceptible to increasing temperatures. High-resolution spatial projections of population vulnerability are however scarce. Using Bayesian Model Averaging (BMA), this paper downscales population structure to intra-urban level for the case study of Madrid. First, empirical data from the municipal register of inhabitants are used to map where vulnerable groups reside. Demographic heterogeneity is captured through disaggregating the input data by age groups (below and above 65 years), sex and educational attainment (as a proxy for socio-economic status). Second, BMA is employed to project shares of these groups to 2050, under selected Shared Socioeconomic Pathways. The resulting distributions of population groups and their projected changes are relevant for local decision-making regarding adaptation strategies to decrease the health burden heat stress might impose in the future. 2021-10-02 published IIASA 3319 public yssp Laxenburg, Austria no info:eu-repo/semantics/book