Literature DB >> 30460432

Quantification and evaluation of intra-urban heat-stress variability in Seoul, Korea.

Britta Jänicke1, Achim Holtmann2, Kyu Rang Kim3, Misun Kang3, Ute Fehrenbach2, Dieter Scherer2.   

Abstract

This study quantifies heat-stress hazard (air temperature), vulnerability (heat vulnerability index and age score), and risk (heat-related mortality) on the district scale in Seoul, Korea, for a comprehensive heat-stress impact assessment. Moreover, the heat-stress impact assessment is evaluated by checking the spatial consistency between heat-stress hazard, vulnerability, and risk, which was rarely done before. We applied numerical and geo-empirical models to simulate the spatial pattern of heat-stress hazard. For heat-stress vulnerability, we used demographic and socioeconomic factors. Heat-related mortality was estimated based on an event-based heat-stress risk analysis. Results are that heat-stress hazard, vulnerability, and risk are spatially variable in Seoul. The highest heat-stress hazard was detected in the districts Mapo, Yeongdeungpo, and Yangcheon, the highest vulnerability in Jongno and the highest risk in Jongno and Yangcheon. The different components (heat-stress hazard, vulnerability, and risk) and variables (heat vulnerability index and percentage of seniors) showed different spatial patterns. Knowledge about the causes of higher heat-stress risk, either the hazard or vulnerability, is helpful to design tailored adaptation measures that focus on the reduction of thermal loads or on the preparation of the vulnerable population. The evaluation showed that heat-stress vulnerability and hazard explain the spatial pattern of risk only partly. This highlights the need to evaluate heat-stress impact assessment systems to produce reliable urban heat-stress maps.

Keywords:  Evaluation; Heat-related mortality; Heat-stress impact assessment; Heat-stress vulnerability; Maps; Urban heat island

Mesh:

Year:  2018        PMID: 30460432     DOI: 10.1007/s00484-018-1631-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  34 in total

1.  A vulnerability study of the low-income elderly in the context of high temperature and mortality in Seoul, Korea.

Authors:  Youngmin Kim; Seunghun Joh
Journal:  Sci Total Environ       Date:  2006-09-26       Impact factor: 7.963

2.  High temperature, heat index, and mortality in 6 major cities in South Korea.

Authors:  Ho Kim; Jong-Sik Ha; Jeongim Park
Journal:  Arch Environ Occup Health       Date:  2006 Nov-Dec       Impact factor: 1.663

3.  Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK.

Authors:  Charlie J Tomlinson; Lee Chapman; John E Thornes; Christopher J Baker
Journal:  Int J Health Geogr       Date:  2011-06-17       Impact factor: 3.918

4.  Distributed lag effects in the relationship between temperature and mortality in three major cities in South Korea.

Authors:  Jongsik Ha; Yongseong Shin; Ho Kim
Journal:  Sci Total Environ       Date:  2011-06-17       Impact factor: 7.963

Review 5.  Health effects of hot weather: from awareness of risk factors to effective health protection.

Authors:  Shakoor Hajat; Madeline O'Connor; Tom Kosatsky
Journal:  Lancet       Date:  2010-02-12       Impact factor: 79.321

6.  Neighborhood microclimates and vulnerability to heat stress.

Authors:  Sharon L Harlan; Anthony J Brazel; Lela Prashad; William L Stefanov; Larissa Larsen
Journal:  Soc Sci Med       Date:  2006-09-25       Impact factor: 4.634

7.  Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany.

Authors:  Katharina M A Gabriel; Wilfried R Endlicher
Journal:  Environ Pollut       Date:  2011-02-04       Impact factor: 8.071

8.  The impact of heat waves on mortality in seven major cities in Korea.

Authors:  Ji-Young Son; Jong-Tae Lee; G Brooke Anderson; Michelle L Bell
Journal:  Environ Health Perspect       Date:  2012-01-20       Impact factor: 9.031

9.  Mapping community determinants of heat vulnerability.

Authors:  Colleen E Reid; Marie S O'Neill; Carina J Gronlund; Shannon J Brines; Daniel G Brown; Ana V Diez-Roux; Joel Schwartz
Journal:  Environ Health Perspect       Date:  2009-06-10       Impact factor: 9.031

10.  Spatial patterns of natural hazards mortality in the United States.

Authors:  Kevin A Borden; Susan L Cutter
Journal:  Int J Health Geogr       Date:  2008-12-17       Impact factor: 3.918

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  2 in total

1.  Determination of thermal sensation levels for Koreans based on perceived temperature and climate chamber experiments with hot and humid settings.

Authors:  Misun Kang; Kyu Rang Kim; Joo-Young Lee; Ju-Young Shin
Journal:  Int J Biometeorol       Date:  2022-03-04       Impact factor: 3.738

2.  Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data.

Authors:  Misun Kang; Kyu Rang Kim; Ju-Young Shin
Journal:  Int J Environ Res Public Health       Date:  2020-04-11       Impact factor: 3.390

  2 in total

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