Evidence map›Paper›PMID 35805778›Full record

ArticleInternational journal of environmental research and public health2022

Optimal Strategy on Radiation Estimation for Calculating Universal Thermal Climate Index in Tourism Cities of China.

Jiandong Liu, Guangsheng Zhou, Hans W Linderholm, Yanling Song, De-Li Liu, Yanbo Shen, Yanxiang Liu, Jun Du

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Jiandong LiuState Key Laboratory of Severe Weather, Institute of Agro-Meteorology and Ecology, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
Guangsheng ZhouState Key Laboratory of Severe Weather, Institute of Agro-Meteorology and Ecology, Chinese Academy of Meteorological Sciences, Beijing 100081, China.ORCID 0000-0001-6303-1275
Hans W LinderholmDepartment of Earth Sciences, University of Gothenburg, 405 30 Gothenburg, Sweden.
Yanling SongState Key Laboratory of Severe Weather, Institute of Agro-Meteorology and Ecology, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
De-Li LiuNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga, NSW 2650, Australia.ORCID 0000-0003-2574-1908
Yanbo ShenPublic Meteorological Service Centre, China Meteorological Administration, Beijing 100081, China.
Yanxiang LiuPublic Meteorological Service Centre, China Meteorological Administration, Beijing 100081, China.
Jun DuTibet Institute of Plateau Atmospheric and Environmental Science Research, Tibet Autonomous Meteorological Administration, Lhasa 850001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Universal Thermal Climate Index (UTCI) is believed to be a very powerful tool for providing information on human thermal perception in the domain of public health, but the solar radiation as an input variable is difficult to access. Thus, this study aimed to explore the optimal strategy on estimation of solar radiation to increase the accuracy in UTCI calculation, and to identify the spatial and temporal variation in UTCI over China. With daily meteorological data collected in 35 tourism cities in China from 1961 to 2020, two sunshine-based Angstrom and Ogelman models, and two temperature-based Bristow and Hargreaves models, together with neural network and support vector machine-learning methods, were tested against radiation measurements. The results indicated that temperature-based models performed the worst with the lowest

Indexed as

Heat Stress DisordersTourismChinaCitiesClimateHumanspublic healthradiation estimationthermal comfortUTCI calculation

Identifiers

PMID35805778
PMCPMC9266112

What OpenQuestion holds

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Registered trials

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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.