Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area
Somatosensory comfort is mainly determined by the Temperature and Humidity Index (THI) with Wind Efficiency Index (WEI), but this conventional usage of these indicators does not capture the age-related differentials. Here we resolved this gap with a modification of the climatic comfort definition an...
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Online Access: | http://dx.doi.org/10.1080/20964129.2020.1843371 |
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doaj-8f0c8bcc3ad4480eb04efbb8b38be33f2021-07-26T14:51:01ZengTaylor & Francis GroupEcosystem Health and Sustainability2332-88782020-12-016110.1080/20964129.2020.18433711843371Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei AreaSiyu Liu0Buju Long1Zhihua Pan2Fei Lun3Yu Song4Weiying Yuan5Na Huang6Ziyuan Zhang7Shangqian Ma8College of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Land Science and Technology, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversityCollege of Resources and Environmental Sciences, China Agricultural UniversitySomatosensory comfort is mainly determined by the Temperature and Humidity Index (THI) with Wind Efficiency Index (WEI), but this conventional usage of these indicators does not capture the age-related differentials. Here we resolved this gap with a modification of the climatic comfort definition and method in a national standard, denoted as the Relative Climate Sensitive Index (RCSI), which incorporated the age-related vulnerability scores determined through online questionnaires with a scoring method, for each of the age-related and adaptive climatic comfort responses to changes in residence with Beijing-Tianjin-Hebei (BTH) region as an example. First, the result showed that the human comfort of living environment decreased with age in the BTH region, implicating age obviously impacted comfort, and weak adaptability made the elderly the relatively most high-risk group – their suitable region was less than a quarter of the whole study region. Second the adverse effects of persistent hot weather on comfort, indicating global warming as the leading driver of dwindling comfort over recent years. As the warming was more significant in the southeastern part, all these forces combined had there a hotspot, appealing for extra attention. Last this improved evaluation accorded with actual situation to captured high-risk groups with their distributions.http://dx.doi.org/10.1080/20964129.2020.1843371global climate changeclimatic comfortvulnerable populationthe beijing-tianjin-hebei region |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Siyu Liu Buju Long Zhihua Pan Fei Lun Yu Song Weiying Yuan Na Huang Ziyuan Zhang Shangqian Ma |
spellingShingle |
Siyu Liu Buju Long Zhihua Pan Fei Lun Yu Song Weiying Yuan Na Huang Ziyuan Zhang Shangqian Ma Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area Ecosystem Health and Sustainability global climate change climatic comfort vulnerable population the beijing-tianjin-hebei region |
author_facet |
Siyu Liu Buju Long Zhihua Pan Fei Lun Yu Song Weiying Yuan Na Huang Ziyuan Zhang Shangqian Ma |
author_sort |
Siyu Liu |
title |
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area |
title_short |
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area |
title_full |
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area |
title_fullStr |
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area |
title_full_unstemmed |
Evaluation of Climatic Comfort of Living Environment based on Age Differentials in Beijing-Tianjin-Hebei Area |
title_sort |
evaluation of climatic comfort of living environment based on age differentials in beijing-tianjin-hebei area |
publisher |
Taylor & Francis Group |
series |
Ecosystem Health and Sustainability |
issn |
2332-8878 |
publishDate |
2020-12-01 |
description |
Somatosensory comfort is mainly determined by the Temperature and Humidity Index (THI) with Wind Efficiency Index (WEI), but this conventional usage of these indicators does not capture the age-related differentials. Here we resolved this gap with a modification of the climatic comfort definition and method in a national standard, denoted as the Relative Climate Sensitive Index (RCSI), which incorporated the age-related vulnerability scores determined through online questionnaires with a scoring method, for each of the age-related and adaptive climatic comfort responses to changes in residence with Beijing-Tianjin-Hebei (BTH) region as an example. First, the result showed that the human comfort of living environment decreased with age in the BTH region, implicating age obviously impacted comfort, and weak adaptability made the elderly the relatively most high-risk group – their suitable region was less than a quarter of the whole study region. Second the adverse effects of persistent hot weather on comfort, indicating global warming as the leading driver of dwindling comfort over recent years. As the warming was more significant in the southeastern part, all these forces combined had there a hotspot, appealing for extra attention. Last this improved evaluation accorded with actual situation to captured high-risk groups with their distributions. |
topic |
global climate change climatic comfort vulnerable population the beijing-tianjin-hebei region |
url |
http://dx.doi.org/10.1080/20964129.2020.1843371 |
work_keys_str_mv |
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