Joel Kuula
Joel Kuula
Atmospheric Composition Research, Finnish Meteorological Institute
Vahvistettu sähköpostiosoite verkkotunnuksessa fmi.fi - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Laboratory evaluation of particle-size selectivity of optical low-cost particulate matter sensors
J Kuula, T Mäkelä, M Aurela, K Teinilä, S Varjonen, Ó González, ...
Atmospheric Measurement Techniques 13 (5), 2413-2423, 2020
282020
Vertical profiles of lung deposited surface area concentration of particulate matter measured with a drone in a street canyon
H Kuuluvainen, M Poikkimäki, A Järvinen, J Kuula, M Irjala, M Dal Maso, ...
Environmental Pollution 241, 96-105, 2018
242018
Response characterization of an inexpensive aerosol sensor
J Kuula, T Mäkelä, R Hillamo, H Timonen
Sensors 17 (12), 2915, 2017
192017
Intelligent calibration and virtual sensing for integrated low-cost air quality sensors
MA Zaidan, NH Motlagh, PL Fung, D Lu, H Timonen, J Kuula, JV Niemi, ...
IEEE Sensors Journal 20 (22), 13638-13652, 2020
122020
Long-term sensor measurements of lung deposited surface area of particulate matter emitted from local vehicular and residential wood combustion sources
J Kuula, H Kuuluvainen, JV Niemi, E Saukko, H Portin, A Kousa, M Aurela, ...
Aerosol Science and Technology 54 (2), 190-202, 2020
112020
Applicability of Optical and Diffusion Charging-Based Particulate Matter Sensors to Urban Air Quality Measurements
J Kuula, H Kuuluvainen, T Rönkkö, JV Niemi, E Saukko, H Portin, ...
Aerosol and Air Quality Research, 2019
102019
Input-adaptive proxy for black carbon as a virtual sensor
PL Fung, MA Zaidan, S Sillanpää, A Kousa, JV Niemi, H Timonen, J Kuula, ...
Sensors 20 (1), 182, 2020
72020
Utilization of scattering and absorption-based particulate matter sensors in the environment impacted by residential wood combustion
J Kuula, M Friman, A Helin, JV Niemi, M Aurela, H Timonen, S Saarikoski
Journal of Aerosol Science 150, 105671, 2020
22020
Effects of marine fuel sulfur restrictions on particle number concentrations and size distributions in ship plumes in the Baltic Sea
SD Seppälä, J Kuula, AP Hyvärinen, S Saarikoski, T Rönkkö, J Keskinen, ...
Atmospheric Chemistry and Physics 21 (4), 3215-3234, 2021
12021
Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration
PL Fung, MA Zaidan, H Timonen, JV Niemi, A Kousa, J Kuula, K Luoma, ...
Journal of Aerosol Science 152, 105694, 2021
12021
Global air quality and covid-19 pandemic: Do we breathe cleaner air?
MA Torkmahalleh, Z Akhmetvaliyeva, A Darvishi Omran, F Darvish Omran, ...
Taiwan Association for Aerosol Research, 2021
12021
Opportunities and limitations of aerosol sensors to urban air quality monitoring
J Kuula
Aalto University, 2020
12020
Input-adaptive linear mixed-effects model for estimating alveolar Lung Deposited Surface Area (LDSA) using multipollutant datasets
PL Fung, MA Zaidan, JV Niemi, E Saukko, H Timonen, A Kousa, J Kuula, ...
Atmospheric Chemistry and Physics Discussions, 1-33, 2021
2021
Cantilever-enhanced photoacoustic measurement of light-absorbing aerosols
J Karhu, J Kuula, A Virkkula, H Timonen, M Vainio, T Hieta
arXiv preprint arXiv:2106.12389, 2021
2021
Black carbon and secondary emissions from a 100 MW heating plant firing wood pellets
F Mylläri, N Kuittinen, T Lepistö, P Heikkilä, H Silvennoinen, L Salo, ...
NOSA Symposium, 2021
2021
Added value of Vaisala AQT530 sensors as a part of a sensor network for comprehensive air quality monitoring
T Petäjä, A Ovaska, PL Fung, P Poutanen, J Yli-Ojanperä, J Suikkola, ...
Frontiers in Environmental Science 9, 268, 2021
2021
Effects of marine fuel sulfur restrictions on particle number concentrations and size distributions in ship plumes at the Baltic Sea
S Seppälä, J Kuula, AP Hyvärinen, S Saarikoski, T Rönkkö, J Keskinen, ...
Atmospheric Chemistry and Physics Discussions 2020, 1-33, 2020
2020
Input-adaptive proxy of air quality parameters: A case study for black carbon in Helsinki, Finland
PL Fung, MA Zaidan, S Sillanpää, A Kousa, JV Niemi, H Timonen, J Kuula, ...
EGU General Assembly Conference Abstracts, 2693, 2020
2020
Supervised regression learning for predictions of aerosol particle size distributions from PM2. 5, total particle number and meteorological parameters at Helsinki SMEAR3 station
J Kangasluoma, Y Wu, R Cai, J Kuula, H Timonen, P Aalto, M Kulmala, ...
EGU General Assembly Conference Abstracts, 13063, 2020
2020
Black carbon emissions from 100 MW heating plants firing wood pellets
F Mylläri, N Kuittinen, T Lepistö, P Heikkilä, H Silvennoinen, L Salo, ...
European Aerosol Conference-EAC 2020, 2020
2020
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Artikkelit 1–20