Evaluation of outdoor thermal comfort conditions in northern Russia over 30-year period: Arkhangelsk region

IF 1.2 Q3 GEOGRAPHY Geographica Pannonica Pub Date : 2020-01-01 DOI:10.5937/GP24-24738
P. Konstantinov, N. Shartova, M. Varentsov, B. Revich
{"title":"Evaluation of outdoor thermal comfort conditions in northern Russia over 30-year period: Arkhangelsk region","authors":"P. Konstantinov, N. Shartova, M. Varentsov, B. Revich","doi":"10.5937/GP24-24738","DOIUrl":null,"url":null,"abstract":"The aim of the current paper is to evaluate spatial and temporal characteristics of the distribution of bioclimatic comfort within the Arkhangelsk region (Russian Federation) with two modern indices of thermal comfort: PET and UTCI. Its average values calculated for the modern climatic period (1981-2010) in the monthly mean give a clear picture of spatial heterogeneity for the warmest month (July) and for the coldest one (January). The spatial picture of both indices in July allows us to distinguish three large internal regions: the Arkhangelsk province, the continental part of the Nenets Autonomous Okrug (NAO) and Novaya Zemlya islands (NZ). Winter distribution of thermal discomfort is fundamentally different: the coldest regions (with extreme cold stress) are equally NZ and the Eastern half of NAO; intermediate position is occupied by the West of the NAO and the extreme northeast of the Arkhangelsk region, the highest winter UTCI values are observed in the rest of the region. In Archangelsk-city extreme cold stress in January has repeatability 6.7%, in February-4%, in December-2.2%, respectively. The average number of time points during the year at which thermal stress is not observed is only 19%. Obtained results will be the basis for planning relevant health measures and providing reliable forecasts of the effects of climate change in the Arctic region.","PeriodicalId":44646,"journal":{"name":"Geographica Pannonica","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographica Pannonica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5937/GP24-24738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 6

Abstract

The aim of the current paper is to evaluate spatial and temporal characteristics of the distribution of bioclimatic comfort within the Arkhangelsk region (Russian Federation) with two modern indices of thermal comfort: PET and UTCI. Its average values calculated for the modern climatic period (1981-2010) in the monthly mean give a clear picture of spatial heterogeneity for the warmest month (July) and for the coldest one (January). The spatial picture of both indices in July allows us to distinguish three large internal regions: the Arkhangelsk province, the continental part of the Nenets Autonomous Okrug (NAO) and Novaya Zemlya islands (NZ). Winter distribution of thermal discomfort is fundamentally different: the coldest regions (with extreme cold stress) are equally NZ and the Eastern half of NAO; intermediate position is occupied by the West of the NAO and the extreme northeast of the Arkhangelsk region, the highest winter UTCI values are observed in the rest of the region. In Archangelsk-city extreme cold stress in January has repeatability 6.7%, in February-4%, in December-2.2%, respectively. The average number of time points during the year at which thermal stress is not observed is only 19%. Obtained results will be the basis for planning relevant health measures and providing reliable forecasts of the effects of climate change in the Arctic region.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
俄罗斯北部近30年室外热舒适条件评价:阿尔汉格尔斯克地区
利用PET和UTCI两种现代热舒适指数,评价了俄罗斯阿尔汉格尔斯克地区生物气候舒适度的时空分布特征。现代气候期(1981-2010)的月平均平均值显示了最暖月份(7月)和最冷月份(1月)的空间异质性。7月份这两个指数的空间图使我们能够区分出三个大的内部区域:阿尔汉格尔斯克省、涅涅茨自治区(NAO)的大陆部分和新地岛(NZ)。冬季热不适的分布是根本不同的:最冷的地区(极端冷应力)是新西兰和NAO的东半部;中间位置为NAO西部和阿尔汉格尔斯克地区的最东北端,其余地区冬季UTCI值最高。在阿尔汉格尔斯克市,1月份的极端寒冷压力的重复性分别为6.7%,2月份为4%,12月份为2.2%。一年中平均只有19%的时间点没有观测到热应力。获得的结果将成为规划有关卫生措施和提供北极地区气候变化影响可靠预报的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
期刊最新文献
Networks, agriculture and geography: How business connections of agricultural enterprises shape the connection of settlements in Western Hungary Thermal resistance of clothing in human biometeorological models Excess mortality and Covid-19 deaths: Preliminary data from Serbia and comparison with European experience Flood hazard risk assessment based on multi-criteria spatial analysis GIS as input for spatial planning policies in Tegal Regency, Indonesia Scientometric analysis-based review of drought indices for assessment and monitoring of drought
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1