Modeling Technology for Assessment of Summer Thermal Comfort Conditions of Arctic City on Microscale: Application for City of Apatity

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Arctic warming changes not only natural landscapes in polar latitudes but also brings relatively warm summer episodes in cities. In this study the results of the modeling research of the thermal comfort of Apatity town with population about 57 000 inhabitants (the fifth among the biggest cities, located to the North from the Arctic circle), situated in Murmansk region of Russian Federeration are considered. Here, directly in city center were performed first constant measurements of UHI (Urban Heat Island)’s intensity by automatic weather stations during winter 2015–spring 2017 (UHIARC measuring campaign). Received data of this measurements network were assimilated by Rayman model to simulate thermal comfort conditions in «Apatity’s science campus» - central district of city. This model calculates the radiation temperature, average radiation fluxes and biometeorological indices (PET, PMV, SET) at a particular point at a particular time. The main goal of this investigation was to test the technology for thermal comfort assessment at microscale for city of Arctic region. Also preliminary analysis of spatial and temporal characteristics of PET (Physiological Equivalent Temperature) for 500 m 2 populated area in central part of Kola Peninsula during short Arctic summer was performed. Simulated results showed significant spatial diversity of PET-values during contrast weather conditions. In night hours as during hottest day in summer of 2016 modeling points located in different local conditions differs to each other due to non-uniform wind speed and radiation shield conditions.

Original languageEnglish
Title of host publicationSpringer Geography
Number of pages10
PublisherSpringer VS
Publication date1 Jan 2020
Pages66-75
DOIs
Publication statusPublished - 1 Jan 2020
SeriesSpringer Geography
ISSN2194-315X

    Research areas

  • Arctic region, PET, Rayman model, Thermal comfort, Urban climate

ID: 230996098