Abstract
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 m2 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.
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References
Rosenzweig, C., Solecki, W., Romero-Lankao, P., Mehrotra, S., Dhakal, S., Ali Ibrahim, S. (eds.): Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network. Cambridge University Press, Cambridge (2018). https://doi.org/10.1017/9781316563878
Konstantinov, P., Varentsov, M., Esau, I.: A high density urban temperature network deployed in several cities of Eurasian Arctic. Environ. Res. Lett. 13(7) (2018). https://doi.org/10.1088/1748-9326/aacb84
Konstantinov, P.I., Grishchenko, M.Y., Varentsov, M.I.: Mapping urban heat islands of arctic cities using combined data on field measurements and satellite images based on the example of the city of Apatity (Murmansk Oblast). Izv. Atmos. Oceanic Phys. 51, 992–998 (2015)
Shartova, N.V., Konstantinov, P.I.: Climate change adaptation for Russian cities: a case study of the thermal comfort assesment. In: Leal Filho, W., Leal-Arcas, R. (eds.) University Initiatives in Climate Change Mitigation and Adaptation, pp. 265–276. Springer, Cham (2019)
OFCM: Report on Wind Chill Temperature and extreme heat indices: Evaluation and improvement projects. U.S. Department of Commerce. National Oceanic and Atmospheric Administration, Office of the Federal Coordinator for Meteorological Services and Supporting Research, Washington D.C., FCM-R19-2003, 75 p. (2003)
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, 151 p. IPCC, Geneva (2014). (Core Writing Team, edited by Pachauri, R.K., Meyer, L.A.)
Revich, B., Shaposhnikov, D.: Temperature-induced excess mortality in Moscow, Russian. Int. J. Biometeorol. 52(5), 367–374 (2008)
Konstantinov, P.I., Varentsov, M.I., Malinina, E.P.: Modeling of thermal comfort conditions inside the urban boundary layer during Moscow’s 2010 summer heat wave (case-study). Urban Clim. 10(3), 563–572 (2014)
Höppe, P.: The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment. Int. J. Biometeorol. 43, 71–75 (1999)
Matzarakis, A., Rutz, F., Mayer, H.: Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. Int. J. Biometeorol. 54, 131–139 (2010)
Matzarakis, A., Mayer, H., Iziomon, M.G.: Applications of a universal thermal index: physiological equivalent temperature. Int. J. Biometeorol. 43, 76–84 (1999)
Acknowledgments
The research has been supported by the grant programme from the Russian Science Foundation (Project № 17-77-20070 “An initial assessment and projection of the bioclimatic comfort in Russian cities in XXI century against the context of climate change”). The work of Pavel Konstatinov (AWS data quality control) was partially supported by RFBR project № 18-05-60146_Arctica.
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Gommershtadt, O., Konstantinov, P., Varentsov, M., Baklanov, A. (2020). Modeling Technology for Assessment of Summer Thermal Comfort Conditions of Arctic City on Microscale: Application for City of Apatity. In: Vasenev, V., Dovletyarova, E., Cheng, Z., Valentini, R., Calfapietra, C. (eds) Green Technologies and Infrastructure to Enhance Urban Ecosystem Services. SSC 2018. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-030-16091-3_10
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