TY - JOUR AU - Skarbit, Nóra AU - Unger, János AU - Gál, Tamás Mátyás TI - Evaluating the Impact of Heat Mitigation Strategies Using Added Urban Green Spaces during a Heatwave in a Medium-Sized City JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 16 PY - 2024 IS - 8 SN - 2071-1050 DO - 10.3390/su16083296 UR - https://m2.mtmt.hu/api/publication/34790894 ID - 34790894 LA - English DB - MTMT ER - TY - JOUR AU - Guo, Yuchen AU - Unger, János AU - Khabibolla , Almaskhan AU - Tian, Guohang AU - He, Ruizhen AU - Li, Huawei AU - Gál, Tamás Mátyás TI - Modeling urban air temperature using satellite-derived surface temperature, meteorological data, and local climate zone pattern—a case study in Szeged, Hungary JF - THEORETICAL AND APPLIED CLIMATOLOGY J2 - THEORET APPL CLIMAT PY - 2024 SN - 0177-798X DO - 10.1007/s00704-024-04852-7 UR - https://m2.mtmt.hu/api/publication/34561168 ID - 34561168 AB - Urban air temperature is a crucial variable for many urban issues. However, the availability of urban air temperature is often limited due to the deficiency of meteorological stations, especially in urban areas with heterogeneous land cover. Many studies have developed different methods to estimate urban air temperature. However, meteorological variables and local climate zone (LCZ) have been less used in this topic. Our study developed a new method to estimate urban air temperature in canopy layer during clear sky days by integrating land surface temperature (LST) from MODIS, meteorological variables based on reanalysis data, and LCZ data in Szeged, Hungary. Random forest algorithms were used for developing the estimation model. We focused on four seasons and distinguished between daytime and nighttime situations. The cross-validation results showed that our method can effectively estimate urban air temperature, with average daytime and nighttime root mean square error (RMSE) of 0.5 ℃ ( R 2 = 0.99) and 0.9 ℃ ( R 2 = 0.95), respectively. The results based on a test dataset from 2018 to 2019 indicated that the optimal model selected by cross-validation had the best performance in summer, with time-synchronous RMSE of 2.1 ℃ ( R 2 = 0.6, daytime) and 2.2 ℃ ( R 2 = 0.86, nighttime) and seasonal mean RMSE of 1.5 ℃ ( R 2 = 0.34, daytime) and 1.2 ℃ ( R 2 = 0.74, nighttime). In addition, we found that LCZ was more important at night, while meteorological data contributed more to the model during the daytime, which revealed the temporal mechanisms of the effect of these two variables on air temperature estimation. Our study provides a novel and reliable method and tool to explore the urban thermal environment for urban researchers. LA - English DB - MTMT ER - TY - CHAP AU - Unger, János AU - Skarbit, Nóra AU - Gál, Tamás Mátyás ED - Lakatos, László TI - Hőhullámos és normál nyári időszakok hőkomfort viszonyainak regionális és városi léptékű összehasonlítása T2 - Tanulmánykötet Prof. Dr. Mika János születésének 70. évfordulója alkalmából PB - Eszterházy Károly Katolikus Egyetem CY - Eger SN - 9789634962601 PY - 2023 SP - 355 EP - 368 PG - 14 UR - https://m2.mtmt.hu/api/publication/34524930 ID - 34524930 LA - Hungarian DB - MTMT ER - TY - THES AU - Gál, Tamás Mátyás TI - A lokális klímazónák városklimatológiai alkalmazása PB - Szegedi Tudományegyetem PY - 2023 SP - 133 UR - https://m2.mtmt.hu/api/publication/34197922 ID - 34197922 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Skarbit, Nóra AU - Unger, János AU - Gál, Tamás Mátyás ED - Blanka, Viktória TI - Potential risks related to heat load, energy demand and water balance based on EURO-CORDEX climate projections in the broader Carpathian region T2 - Natural Hazards and Climate Change - conference and workshop for identifying and tackling challenges together PB - Szegedi Tudományegyetem, Geoinformatikai, Természet- és Környezetföldrajzi Tanszék CY - Szeged SN - 9789633069301 PY - 2023 SP - 45 UR - https://m2.mtmt.hu/api/publication/34163103 ID - 34163103 LA - English DB - MTMT ER - TY - JOUR AU - Tanács, Eszter AU - Vári, Ágnes AU - Bede-Fazekas, Ákos AU - Báldi, András AU - Csákvári, Edina AU - Endrédi, Anett AU - Fabók, Veronika AU - Kisné Fodor, Lívia AU - Kiss, Márton AU - Koncz, Péter AU - Kovács-Hostyánszki, Anikó AU - Mészáros, János AU - Pásztor, László AU - Rezneki, Rita AU - Standovár, Tibor AU - Zsembery, Zita AU - Török, Katalin TI - Finding the Green Grass in the Haystack? Integrated National Assessment of Ecosystem Services and Condition in Hungary, in Support of Conservation and Planning JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 15 PY - 2023 IS - 11 PG - 28 SN - 2071-1050 DO - 10.3390/su15118489 UR - https://m2.mtmt.hu/api/publication/33883696 ID - 33883696 N1 - Centre for Ecological Research Institute of Ecology and Botany, Alkotmány u. 2–4, VácrátótH-2163, Hungary Department of Plant Systematics, Ecology and Theoretical Biology, ELTE Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, H-1117, Hungary Department of Natural Resource Sciences, Department of Biology, McGill University, Montreal, QC H3A 1B1, Canada Department of Environmental and Landscape Geography, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest, H-1117, Hungary Centre for Ecological Research Institute of Aquatic Ecology, Centre for Ecological Research, Budapest, H-1113, Hungary Ministry of Agriculture, Nature Conservation Department, Budapest, H-1055, Hungary Department of Climatology and Landscape Ecology, University of Szeged, Szeged, H-6725, Hungary Institute for Soil Sciences Centre for Agricultural Research, Budapest, H-1022, Hungary Export Date: 26 June 2023 Correspondence Address: Tanács, E.; Centre for Ecological Research Institute of Ecology and Botany, Alkotmány u. 2–4, Vácrátót, Hungary; email: tanacs.eszter@ecolres.hu AB - Human well-being needs healthy ecosystems, providing multiple ecosystem services. Therefore, the assessment of ecosystems on large scales is a priority action. In Hungary, this work (MAES-HU) took place between 2016 and 2022. Twelve ecosystem services (ES) were mapped and assessed along with several ecosystem condition (EC) indicators. Their integrated spatial analysis aimed to identify patterns of ES multifunctionality, reveal relationships between EC and ES and delineate ES bundles. The results show outstanding multifunctionality of natural ecosystem types compared with the more artificial types, emphasizing the importance of natural areas in order to fulfil human needs. Native forests provide the most varied range of services, which underlines the importance of forest management to consider multiple services. There is a positive correlation between condition and multifunctionality in forests; areas in better condition (in terms of species composition and structure) provide more services at an outstanding level. ES bundles mainly reflect the major ecosystem types, topography and forest condition. Our analysis represents an example of synthesizing national MAES results with a combination of methods. Finding ES hotspots on a national scale and connecting them with an assessment of EC may help in finding optimal strategies to balance conservation targets and competing land uses. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Attila ED - Blanka, Viktória TI - Assessment of climate-related impacts and risks on the tourism sector T2 - Natural Hazards and Climate Change - conference and workshop for identifying and tackling challenges together PB - Szegedi Tudományegyetem, Geoinformatikai, Természet- és Környezetföldrajzi Tanszék CY - Szeged SN - 9789633069301 PY - 2023 SP - 30 EP - 30 PG - 1 UR - https://m2.mtmt.hu/api/publication/33728932 ID - 33728932 LA - English DB - MTMT ER - TY - CHAP AU - Kiss, Márton AU - Báthoryné, Nagy Ildikó Réka AU - Buzás, Kálmán AU - Csőszi, Mónika AU - Gulyás, Ágnes AU - Lenkei, Péter AU - Mészáros, Róbert AU - Pinke, Zsolt László ED - Kovács-Hostyánszki, Anikó ED - Kisné, Fodor Lívia ED - Zsembery, Zita ED - Tanács, Eszter TI - 8.3.9.3. LÉGSZENNYEZÉS-MEGKÖTÉS T2 - Hazai ökoszisztéma-szolgáltatások térképezése és értékelése PB - Agrárminisztérium CY - Budapest SN - 9786156446077 PY - 2022 SP - 161 EP - 164 PG - 4 UR - https://m2.mtmt.hu/api/publication/33733135 ID - 33733135 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Kiss, Márton AU - Báthoryné, Nagy Ildikó Réka AU - Buzás, Kálmán AU - Csőszi, Mónika AU - Gulyás, Ágnes AU - Lenkei, Péter AU - Mészáros, Róbert AU - Pinke, Zsolt László ED - Kovács-Hostyánszki, Anikó ED - Kisné, Fodor Lívia ED - Zsembery, Zita ED - Tanács, Eszter TI - 8.3.9.2. Csapadékvíz-tározás T2 - Hazai ökoszisztéma-szolgáltatások térképezése és értékelése PB - Agrárminisztérium CY - Budapest SN - 9786156446077 PY - 2022 SP - 157 EP - 160 PG - 4 UR - https://m2.mtmt.hu/api/publication/33733124 ID - 33733124 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Kiss, Márton AU - Báthoryné, Nagy Ildikó Réka AU - Buzás, Kálmán AU - Csőszi, Mónika AU - Gulyás, Ágnes AU - Lenkei, Péter AU - Mészáros, Róbert AU - Pinke, Zsolt László ED - Kovács-Hostyánszki, Anikó ED - Kisné, Fodor Lívia ED - Zsembery, Zita ED - Tanács, Eszter TI - 8.3.9.1. Mikroklíma-szabályozás városi területeken T2 - Hazai ökoszisztéma-szolgáltatások térképezése és értékelése PB - Agrárminisztérium CY - Budapest SN - 9786156446077 PY - 2022 SP - 152 EP - 156 PG - 5 UR - https://m2.mtmt.hu/api/publication/33733117 ID - 33733117 LA - Hungarian DB - MTMT ER -