TY - CONF AU - Musyimi, Peter Kinyae AU - Székely, Balázs AU - Hellen, W. Kamiri AU - Tom, Ouna AU - Weidinger, Tamás TI - Meteorological and Soil Moisture Measurements in Mount Kenya Region at Various Scales T2 - EGU General Assembly 2024 : abstracts PB - European Geosciences Union (EGU) C1 - Wien PY - 2024 DO - 10.5194/egusphere-egu24-579 UR - https://m2.mtmt.hu/api/publication/34762086 ID - 34762086 LA - English DB - MTMT ER - TY - JOUR AU - Garcia-Marlès, Meritxell AU - Lara, Rosa AU - Reche, Cristina AU - Pérez, Noemí AU - Tobías, Aurelio AU - Savadkoohi, Marjan AU - Beddows, David AU - Salma, Imre AU - Vörösmarty, Máté AU - Weidinger, Tamás AU - Hueglin, Christoph AU - Mihalopoulos, Nikos AU - Grivas, Georgios AU - Kalkavouras, Panayiotis AU - Ondracek, Jakub AU - Zikova, Nadezda AU - Niemi, Jarkko V. AU - Manninen, Hanna E. AU - Green, David C. AU - Tremper, Anja H. AU - Norman, Michael AU - Vratolis, Stergios AU - Eleftheriadis, Konstantinos AU - Gómez-Moreno, Francisco J. AU - Alonso-Blanco, Elisabeth AU - Wiedensohler, Alfred AU - Weinhold, Kay AU - Merkel, Maik AU - Bastian, Susanne AU - Hoffmann, Barbara AU - Altug, Hicran AU - Petit, Jean-Eudes AU - Favez, Olivier AU - Santos, Sebastiao Martins Dos AU - Putaud, Jean-Philippe AU - Dinoi, Adelaide AU - Contini, Daniele AU - Timonen, Hilkka AU - Lampilahti, Janne AU - Petäjä, Tuukka AU - Pandolfi, Marco AU - Hopke, Philip K. AU - Harrison, Roy M. AU - Alastuey, Andrés AU - Querol, Xavier TI - Inter-annual trends of ultrafine particles in urban Europe JF - ENVIRONMENT INTERNATIONAL J2 - ENVIRON INT VL - 185 PY - 2024 SN - 0160-4120 DO - 10.1016/j.envint.2024.108510 UR - https://m2.mtmt.hu/api/publication/34680880 ID - 34680880 N1 - Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, 08034, Spain Department of Applied Physics-Meteorology, University of Barcelona, Barcelona, 08028, Spain Department of Mining, Industrial and ICT Engineering (EMIT), Manresa School of Engineering (EPSEM), Universitat Politècnica de Catalunya (UPC), Manresa, 08242, Spain Division of Environmental Health and Risk Management, School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom Institute of Chemistry, Eötvös Loránd University, Budapest, Hungary Hevesy György Ph.D. School of Chemistry, Eötvös Loránd University, Budapest, Hungary Department of Meteorology, Eötvös Loránd University, Budapest, Hungary Laboratory for Air Pollution and Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology (Empa), Duebendorf, 8600, Switzerland Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, Heraklion, 71003, Greece Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, 11810, Greece Department of Environment, University of the Aegean, Mytilene, 81100, Greece Laboratory of Aerosols Chemistry and Physics, Institute of Chemical Process Fundamentals, v.v.i, Academy of Sciences of the Czech Republic, Rozvojova 1, Prague, Czech Republic Helsinki Region Environmental Services Authority (HSY), Helsinki, 00240, Finland MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, United Kingdom NIHR HPRU in Environmental Exposures and Health, Imperial College London, United Kingdom Environment and Health Administration, SLB-analys, Box 8136, Stockholm, 104 20, Sweden ENRACT, Institute of Nuclear and Radiological Science & Technology, Energy & Safety, NCSR Demokritos, 15310 Ag. Paraskevi, Athens, Greece Department of Environment, CIEMAT, Madrid, 28040, Spain Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany Saxon State Office for Environment, Agriculture and Geology (LfULG), Dresden, Germany Institute for Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Germany Laboratoire des Sciences du Climat et de l'Environnement, CEA/Orme des Merisiers, Gif-sur-Yvette, 91191, France Institut National de l'Environnement Industriel et des Risques (INERIS), Parc Technologique Alata BP2, Verneuil-en-Halatte, 60550, France European Commission, Joint Research Centre (JRC), Ispra, 21027, Italy Institute of Atmospheric Sciences and Climate of National Research Council, ISAC-CNR, Lecce, 73100, Italy Finnish Meteorological Institute, Atmospheric Composition Research, Helsinki, Finland Institute for Atmospheric and Earth System Research (INAR), Faculty of Science, University of Helsinki, Finland Department of Public Health Sciences, University of Rochester School of Medicine & Dentistry, Rochester, NY 14642, United States Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia Export Date: 18 March 2024 CODEN: ENVID Correspondence Address: Garcia-Marlès, M.; Institute of Environmental Assessment and Water Research (IDAEA-CSIC)Spain; email: meri.garcia@idaea.csic.es Tradenames: R v4.2.3, R Core Team 2023; R version 6.5 0 Manufacturers: R Core Team 2023 Funding details: K132254 Funding details: Horizon 2020 Framework Programme, H2020, 101036245 Funding details: European Commission, EC Funding details: Generalitat de Catalunya Funding details: Federación Española de Enfermedades Raras, FEDER, PID2022-142160OB-I00 Funding details: Agència de Gestió d'Ajuts Universitaris i de Recerca, AGAUR, 2021 SGR 00447 Funding details: Ministerio de Ciencia e Innovación, MCIN Funding details: Horizon 2020 Funding details: Agencia Estatal de Investigación, AEI Funding text 1: RI-URBANS (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, the European Union’s Horizon 2020 research and innovation program, contract 101036245) is a European research project, which demonstrates the applications of advanced air quality service tools in urban Europe to improve the assessment of air quality policies, including a better evaluation of health impacts. In this context, this study aims to gather and evaluate available long-term trends of UFP and different particle size modes, based on PNSD data obtained at 21 (mostly urban) sites from 15 urban areas in Europe (11 member states) and one from the USA. A prior RI-URBANS study ( Trechera et al., 2023 ) reported the phenomenology of UFP in urban Europe and compared the 2017–2019 concentrations across different cities and environments. Additional work is ongoing on the source apportionment of PNSD for 23 (mostly urban) sites using receptor modelling tools. In the current study we evaluate and interpret the trend analyses of the above 21 datasets for a period covering up to 11 years (2009–2019). A number of sites cover a shorter period of time, but in all cases, at least the last 5 years of measurement are available. The years 2020–2022 are intentionally excluded to avoid interferences of the COVID19-lockdown effects. To support interpretations, we also evaluate compiled datasets of conventional pollutants (BC, NO 2 , NO, CO, SO 2 , O 3 , PM 10 , PM 2.5 and PM 1 ) and meteorological variables (temperature, T; relative humidity, RH; atmospheric pressure, P; wind speed, WS; solar radiation, RAD; and rain, R) concurrently measured with the PNSDs. Funding text 2: This study is supported by the RI-URBANS project (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, European Union’s Horizon 2020 research and innovation program, Green Deal, European Commission, contract 101036245), the “Agencia Estatal de Investigación” from the Spanish Ministry of Science and Innovation, FEDER funds under the projects AIRPHONEMA (PID2022-142160OB-I00), and the Generalitat de Catalunya (AGAUR 2021 SGR 00447). This research is partly supported by the Hungarian Research, Development and Innovation Office (grant no. K132254). Funding text 3: This study is supported by the RI-URBANS project (Research Infrastructures Services Reinforcing Air Quality Monitoring Capacities in European Urban & Industrial Areas, European Union's Horizon 2020 research and innovation program, Green Deal, European Commission, contract 101036245), the “Agencia Estatal de Investigación” from the Spanish Ministry of Science and Innovation, FEDER funds under the projects AIRPHONEMA (PID2022-142160OB-I00), and the Generalitat de Catalunya (AGAUR 2021 SGR 00447). This research is partly supported by the Hungarian Research, Development and Innovation Office (grant no. K132254). We would like to thank also to ACTRIS for providing PNC-PNSD datasets for a number of sites of this study, and National and City authorities for providing others. LA - English DB - MTMT ER - TY - JOUR AU - Lóczy, Dénes AU - Dezső, József AU - Weidinger, Tamás AU - Horváth, László AU - Pirkhoffer, Ervin AU - Czigány, Szabolcs TI - Soil Moisture Conservation through Crop Diversification and Related Ecosystem Services in a Blown-Sand Area with High Drought Hazard JF - PLANTS-BASEL J2 - PLANTS-BASEL VL - 13 PY - 2024 IS - 4 PG - 14 SN - 2223-7747 DO - 10.3390/plants13040494 UR - https://m2.mtmt.hu/api/publication/34591360 ID - 34591360 N1 - Funding Agency and Grant Number: European Commission [728003] Funding text: This research was funded by the European Commission in the framework of the H2020Diverfarming project (contract number: 728003) AB - Soil moisture reserves are a key factor in maintaining soil fertility and all other related ecosystem services (including carbon sequestration, soil biodiversity, and soil erosion control). In semiarid blown-sand areas under aridification, water preservation is a particularly crucial task for agriculture. The international Diverfarming project (2017–2022), within the EU Horizon 2020 Program, focused on the impacts of crop diversification and low-input practices in all pedoclimatic regions of Europe. In this three-year experiment conducted in the Pannonian region, the impact of intercropping asparagus with different herbs on some provisioning and regulating ecosystem services was evaluated in the Kiskunság sand regions. Relying on findings based on a range of measured physical and chemical soil parameters and on crop yields and qualitative properties, advice was formulated for farmers. The message drawn from the experiment is somewhat ambiguous. The local farmers agree that crop diversification improves soil quality, but deny that it would directly influence farm competitiveness, which primarily depends on cultivation costs (such as fertilization, plant protection, and labour). Further analyses are needed to prove the long-term benefits of diversification through enriching soil microbial life and through the possible reduction of fertilizer use, while water demand is kept at a low level and the same crop-quality is ensured. LA - English DB - MTMT ER - TY - JOUR AU - Mendyl, Abderrahmane AU - Demir, Vahdettin AU - Omar, Najiya AU - Orhan, Osman AU - Weidinger, Tamás TI - Enhancing Solar Radiation Forecasting in Diverse Moroccan Climate Zones: A Comparative Study of Machine Learning Models with Sugeno Integral Aggregation JF - ATMOSPHERE J2 - ATMOSPHERE-BASEL VL - 15 PY - 2024 IS - 1 SN - 2073-4433 DO - 10.3390/atmos15010103 UR - https://m2.mtmt.hu/api/publication/34525421 ID - 34525421 AB - Hourly solar radiation (SR) forecasting is a vital stage in the efficient deployment of solar energy management systems. Single and hybrid machine learning (ML) models have been predominantly applied for precise hourly SR predictions based on the pattern recognition of historical heterogeneous weather data. However, the integration of ML models has not been fully investigated in terms of overcoming irregularities in weather data that may degrade the forecasting accuracy. This study investigated a strategy that highlights interactions that may exist between aggregated prediction values. In the first investigation stage, a comparative analysis was conducted utilizing three different ML models including support vector machine (SVM) regression, long short-term memory (LSTM), and multilayer artificial neural networks (MLANN) to provide insights into their relative strengths and weaknesses for SR forecasting. The comparison showed the proposed LSTM model had the greatest contribution to the overall prediction of six different SR profiles from numerous sites in Morocco. To validate the stability of the proposed LSTM, Taylor diagrams, violin plots, and Kruskal–Wallis (KW) tests were also utilized to determine the robustness of the model’s performance. Secondly, the analysis found coupling the models outputs with aggregation techniques can significantly improve the forecasting accuracy. Accordingly, a novel aggerated model that integrates the forecasting outputs of LSTM, SVM, MLANN with Sugeno λ-measure and Sugeno integral named (SLSM) was proposed. The proposed SLSM provides spatially and temporary interactions of information that are characterized by uncertainty, emphasizing the importance of the aggregation function in mitigating irregularities associated with SR data and achieving an hourly time scale forecasting accuracy with improvement of 11.7 W/m2. LA - English DB - MTMT ER - TY - CHAP AU - Gandhi, Arun AU - Geresdi, István AU - Peterka, András AU - Gyöngyösi, András Zénó AU - Tordai, Ágoston Vilmos AU - Torma, Péter AU - Rehák, András AU - Bíró-Szilágyi, Mariann AU - Horváth, Gyula AU - Pappné Ferenczi, Zita AU - Imre, Kornélia AU - Lázár, István AU - Weidinger, Tamás ED - Kis, Anna ED - Pongrácz, Rita TI - Impact of the cooling rate on fog formation T2 - Aktuális doktori kutatások a levegőkémia, a klímaváltozás és a meteorológia témakörében PB - ELTE TTK Meteorológiai Tanszék CY - Budapest SN - 9789634896333 T3 - Egyetemi meteorológiai füzetek, ISSN 0865-7920 ; 35. PY - 2023 SP - 142 EP - 154 PG - 13 DO - 10.31852/EMF.35.2023.142.154 UR - https://m2.mtmt.hu/api/publication/34524880 ID - 34524880 LA - English DB - MTMT ER - TY - JOUR AU - Kułek, Beata AU - Weidinger, Tamás TI - The Influence of Meteorological Factors and the Time of Day on the Concentration of Ammonia in the Atmosphere Measured Using the Photoacoustic Method near a Cattle Farm—A Case Study JF - ATMOSPHERE J2 - ATMOSPHERE-BASEL VL - 14 PY - 2023 IS - 11 SN - 2073-4433 DO - 10.3390/atmos14111703 UR - https://m2.mtmt.hu/api/publication/34426799 ID - 34426799 AB - Influences of animals, time of day, air temperature and relative humidity, wind speed and direction on ammonia concentrations were investigated. A case study on a typical summer day from 7:00 to approximately 24:00 CEST (moderate wind speed, variable cloudiness and maximum global radiation higher than 950 W/m2) in west–central Poland is presented. Concentrations of this gas were measured at four heights (0.1–1.5 m), which were changed every 5 min, using a Nitrolux 1000 photoacoustic spectrometer. A micrometeorological station was established to also measure the surface energy budget components. The results presented are the average for each hour and for the entire day. The fine structure of concentration profiles, plume detection and uncertainty of ammonia flux calculation are also presented. The highest NH3 concentrations were at a 0.5 m height between 16:00 and 17:00 h when cows were grazing, but the lowest concentrations were between 23:00 and 24:00 h at the height of 1.5 m. The ammonia concentration increased with increasing air temperature and was the highest with a westerly wind direction and decreased with increasing air relative humidity. The greatest influence on the ammonia concentration was related to the presence of cows and the time of day, while a slightly smaller influence was noted in terms of air temperature and wind direction. A case study is suitable for presenting local effects, inhomogeneities and quantifying uncertainties in the bidirectional ammonia flux calculation. LA - English DB - MTMT ER - TY - CHAP AU - Musyimi, Peter Kinyae AU - Székely, Balázs AU - Weidinger, Tamás ED - Kis, Anna ED - Pongrácz, Rita TI - Meteorological measurements in Mount Kenya region, importance of quality control, preparatory steps and calibration T2 - Aktuális doktori kutatások a levegőkémia, a klímaváltozás és a meteorológia témakörében PB - ELTE TTK Meteorológiai Tanszék CY - Budapest SN - 9789634896333 T3 - Egyetemi meteorológiai füzetek, ISSN 0865-7920 ; 35. PY - 2023 SP - 155 EP - 169 PG - 15 DO - 10.31852/EMF.35.2023.155.169 UR - https://m2.mtmt.hu/api/publication/34325400 ID - 34325400 LA - English DB - MTMT ER - TY - JOUR AU - Salma, Imre AU - Farkas, Árpád AU - Weidinger, Tamás AU - Balogh, Miklós TI - Firework smoke: Impacts on urban air quality and deposition in the human respiratory system JF - ENVIRONMENTAL POLLUTION J2 - ENVIRON POLLUT VL - 328 PY - 2023 PG - 9 SN - 0269-7491 DO - 10.1016/j.envpol.2023.121612 UR - https://m2.mtmt.hu/api/publication/34189383 ID - 34189383 AB - Particle number concentrations and size distributions resulting from the firework displays held in Budapest, Hungary every year on St. Stephen's Day were studied over a period of seven years. In the year most impacted, the total particle number concentration reached its peak measured level of 369 x 103 cm-3 5 min after the end of the display, and returned to the pre-event state within 45 min. The fireworks increased hourly mean concentrations by a factor of 5-6, whereas the concentrations in the diameter range of 100-1000 nm, in which the magnitude of the increase was the greatest, were elevated by a factor of 20-25. An extra particle size mode at 203 nm was manifested in the size distributions as result of the fireworks. The PM10 mass concentrations at peak firework influence and as 1-h mean increased 123 and 58 times, respectively, relative to the concentration before the display. The smoke was characterised by a relatively short overall atmospheric residence time of 25 min. Spatiotemporal dispersion simulations revealed that there were substantial vertical and horizontal concentration gradients in the firework plume. The affected area made up a large part of the city. Not only the spectators of the display at the venue and nearby areas, but the population located further away downwind of the displays and more distant, large and populous urban quarters were affected by the plume and its fallout. The fireworks increased the deposition rate in the respiratory system of females by a factor of 4, as a conservative estimate. The largest surface density deposition rates were seen in the segmental and sub-segmental bronchi, which represents an excessive risk to health. Compared to adults, children were more susceptible to exposure, with the maximum surface density deposition rates in their case being three times those of adults in the trachea. LA - English DB - MTMT ER - TY - CONF AU - Jesse, Bash AU - Christian, Hogrefe AU - Bin, Cheng AU - Kiran, V Alapaty AU - John, T Walker AU - Donna, Schwede AU - Mhairi, Coyle AU - Erick, Fredj AU - Ignacio, Goded AU - Orestis, Gazetas AU - László, Horváth AU - Ivan, Mammarella AU - Giovanni, Manca AU - J, William Munger AU - Ralf, M Staebler AU - Eran, Tas AU - Timo, Vesala AU - Weidinger, Tamás AU - Zhiyong, Wu AU - Leiming, Zhang AU - Olivia, E Clifton TI - Evaluation and Improvement of the Surface Tiled Aerosol and Gaseous Exchange (STAGE) Resistance Model with Long-Term Ozone Fluxes at Multiple Sites T2 - 24th Conference on Atmospheric Chemistry PY - 2023 UR - https://m2.mtmt.hu/api/publication/34171916 ID - 34171916 LA - English DB - MTMT ER - TY - CONF AU - OE, Clifton AU - Donna, Schwede AU - Christian, Hogrefe AU - Jesse, Bash AU - Sam, Bland AU - Philip, Cheung AU - Mhairi, Coyle AU - Lisa, Emberson AU - Johannes, Flemming AU - Erick, Fredj AU - Stefano, Galmarini AU - Laurens, Ganzeveld AU - Orestis, Gazetas AU - Ignacio, Goded AU - Christopher, D Holmes AU - László, Horváth AU - Vincent, Huijnen AU - Qian, Li AU - Paul, Makar AU - Ivan, Mammarella AU - Giovanni, Manca AU - J, William Munger AU - Juan, L Pérez-Camanyo AU - Jonathan, E Pleim AU - Limei, Ran AU - Roberto, San Jose AU - Ralf, M Staebler AU - Shihan, Sun AU - Amos, PK Tai AU - Eran, Tas AU - Timo, Vesala AU - Weidinger, Tamás AU - Zhiyong, Wu AU - Leiming, Zhang TI - AQMEII4 Activity 2: A Single-Point Modeling Approach for the Intercomparison and Evaluation of Ozone Dry Deposition across Regional Air Quality Models T2 - 103rd AMS Annual Meeting PY - 2023 UR - https://m2.mtmt.hu/api/publication/34171807 ID - 34171807 LA - English DB - MTMT ER -