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Petrou I, Kassomenos P. Estimating the importance of environmental factors influencing the urban heat island for urban areas in Greece. A machine learning approach. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 368:122255. [PMID: 39168006 DOI: 10.1016/j.jenvman.2024.122255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/09/2024] [Accepted: 08/18/2024] [Indexed: 08/23/2024]
Affiliation(s)
- Ilias Petrou
- Laboratory of Meteorology, Department of Physics, University of Ioannina, University Campus, GR-45110, Ioannina, Greece.
| | - Pavlos Kassomenos
- Laboratory of Meteorology, Department of Physics, University of Ioannina, University Campus, GR-45110, Ioannina, Greece
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Giannaros C, Agathangelidis I, Galanaki E, Cartalis C, Kotroni V, Lagouvardos K, Giannaros TM, Matzarakis A. Hourly values of an advanced human-biometeorological index for diverse populations from 1991 to 2020 in Greece. Sci Data 2024; 11:76. [PMID: 38228665 PMCID: PMC10791640 DOI: 10.1038/s41597-024-02923-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/05/2024] [Indexed: 01/18/2024] Open
Abstract
Existing assessments of the thermal-related impact of the environment on humans are often limited by the use of data that are not representative of the population exposure and/or not consider a human centred approach. Here, we combine high resolution regional retrospective analysis (reanalysis), population data and human energy balance modelling, in order to produce a human thermal bioclimate dataset capable of addressing the above limitations. The dataset consists of hourly, population-weighted values of an advanced human-biometeorological index, namely the modified physiologically equivalent temperature (mPET), at fine-scale administrative level and for 10 different population groups. It also includes the main environmental drivers of mPET at the same spatiotemporal resolution, covering the period from 1991 to 2020. The study area is Greece, but the provided code allows for the ease replication of the dataset in countries included in the domains of the climate reanalysis and population data, which focus over Europe. Thus, the presented data and code can be exploited for human-biometeorological and environmental epidemiological studies in the European continent.
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Affiliation(s)
- Christos Giannaros
- National and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece.
| | - Ilias Agathangelidis
- National and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece
| | - Elissavet Galanaki
- National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece
| | - Constantinos Cartalis
- National and Kapodistrian University of Athens, Department of Physics, 15784, Athens, Greece
| | - Vassiliki Kotroni
- National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece
| | - Konstantinos Lagouvardos
- National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece
| | - Theodore M Giannaros
- National Observatory of Athens, Institute for Environmental Research and Sustainable Development, Palea Penteli, 15236, Athens, Greece
| | - Andreas Matzarakis
- German Meteorological Service (DWD), Research Centre Human Biometeorology, D-79085, Freiburg, Germany
- University of Freiburg, Institute of Earth and Environmental Sciences, D-79104, Freiburg, Germany
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Milošević D, Dunjić J, Stojsavljević R, Žgela M, Savić S, Arsenović D. Analysis of long- and short-term biometeorological conditions in the Republic of Serbia. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023:10.1007/s00484-023-02482-8. [PMID: 37140657 DOI: 10.1007/s00484-023-02482-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 04/19/2023] [Accepted: 04/23/2023] [Indexed: 05/05/2023]
Abstract
Long- and short-term biometeorological conditions in the Republic of Serbia were analyzed using official meteorological data from numerous weather stations located across the country. Selected biometeorological indices HUMIDEX, Physiologically Equivalent Temperature (PET), and Universal Thermal Climate Index (UTCI) are calculated based on air temperature, relative humidity, wind speed, and cloudiness data from the meteorological stations on annual and summer level as well as during selected heat wave periods during 2000-2020. Application of different biometeorological indices provides similar but somewhat different results. For example, average annual HUMIDEX and UTCI values indicate no thermal stress and no discomfort at all stations, while PET indicates the occurrence of slight to moderate cold stress at all stations. Average summer PET and UTCI indicate the occurrence of slight to moderate heat stress throughout the country, while HUMIDEX indicates no discomfort. Trends of biometeorological indices on annual and summer level show a general increase throughout the country. Furthermore, heat wave analysis indicated that the most populated cities of Serbia are under dangerous and extreme heat stress during these extreme temperature events, which can influence human health and well-being. The obtained biometeorological information can be used for the preparation of climate adaptation strategies that consider the human biometeorological conditions, with a special focus on developing climate-sensitive and comfortable cities.
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Affiliation(s)
- Dragan Milošević
- Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, Serbia.
| | - Jelena Dunjić
- Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, Serbia
| | - Rastislav Stojsavljević
- Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, Serbia
| | - Matej Žgela
- Department of Geophysics, Faculty of Science, University of Zagreb, Horvatovac 95, 10000, Zagreb, Croatia
| | - Stevan Savić
- Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, Serbia
| | - Daniela Arsenović
- Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, Serbia
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