Evidence map›Paper›PMID 30460432›Full record

ArticleInternational journal of biometeorology2019

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

Britta Jänicke, Achim Holtmann, Kyu Rang Kim, Misun Kang, Ute Fehrenbach, Dieter Scherer

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Britta JänickeApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, 63568, Jeju-do, Republic of Korea. britta.jaenicke@posteo.net.ORCID http://orcid.org/0000-0001-6103-048X
Achim HoltmannInstitute of Ecology, Technische Universität Berlin, Rothenburgstraße 12, 12165, Berlin, Germany.
Kyu Rang KimApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, 63568, Jeju-do, Republic of Korea.
Misun KangApplied Meteorological Research Division, National Institute of Meteorological Sciences, 33, Seohobuk-ro, Seogwipo-si, 63568, Jeju-do, Republic of Korea.
Ute FehrenbachInstitute of Ecology, Technische Universität Berlin, Rothenburgstraße 12, 12165, Berlin, Germany.
Dieter SchererInstitute of Ecology, Technische Universität Berlin, Rothenburgstraße 12, 12165, Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft SCHE 750/8-1 and SCHE 750/9-1
6 · The paper itself

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.

Indexed as

Heat-Shock ResponseHot TemperatureHeat Stress DisordersHumansLinear ModelsRiskSeoulVulnerable PopulationsEvaluationHeat-related mortalityHeat-stress impact assessmentHeat-stress vulnerabilityMapsUrban heat island

Identifiers

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.