4 results on '"Antti Hyvärinen"'
Search Results
2. Mutual Information Input Selector and Probabilistic Machine Learning Utilisation for Air Pollution Proxies
- Author
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Martha A. Zaidan, Lubna Dada, Mansour A. Alghamdi, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen, and Tareq Hussein
- Subjects
air pollution ,ozone proxy ,mutual information ,probabilistic machine learning ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
An air pollutant proxy is a mathematical model that estimates an unobserved air pollutant using other measured variables. The proxy is advantageous to fill missing data in a research campaign or to substitute a real measurement for minimising the cost as well as the operators involved (i.e., virtual sensor). In this paper, we present a generic concept of pollutant proxy development based on an optimised data-driven approach. We propose a mutual information concept to determine the interdependence of different variables and thus select the most correlated inputs. The most relevant variables are selected to be the best proxy inputs, where several metrics and data loss are also involved for guidance. The input selection method determines the used data for training pollutant proxies based on a probabilistic machine learning method. In particular, we use a Bayesian neural network that naturally prevents overfitting and provides confidence intervals around its output prediction. In this way, the prediction uncertainty could be assessed and evaluated. In order to demonstrate the effectiveness of our approach, we test it on an extensive air pollution database to estimate ozone concentration.
- Published
- 2019
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3. A Predictive Model for Steady State Ozone Concentration at an Urban-Coastal Site
- Author
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H. Al-Jeelani, A. S. Abdelmaksoud, Heikki Lihavainen, Ibrahim I. Shabbaj, Mamdouh I. Khoder, Sharif Arar, Mansour A. Alghamdi, Tareq Hussein, F. M. Almehmadi, Martha A. Zaidan, Afnan Al-Hunaiti, Antti Hyvärinen, Lubna Dada, Global Atmosphere-Earth surface feedbacks, INAR Physics, Institute for Atmospheric and Earth System Research (INAR), and Air quality research group
- Subjects
Ozone ,TROPOSPHERIC OZONE ,010504 meteorology & atmospheric sciences ,Ground Level Ozone ,CITY ,Health, Toxicology and Mutagenesis ,Saudi Arabia ,Air pollution ,lcsh:Medicine ,Atmospheric sciences ,medicine.disease_cause ,01 natural sciences ,Article ,chemistry.chemical_compound ,chemical coupling ,REGRESSION ,medicine ,Tropospheric ozone ,1172 Environmental sciences ,NOx ,0105 earth and related environmental sciences ,Null cycle ,Air Pollutants ,AREA ,lcsh:R ,010401 analytical chemistry ,Global warming ,Public Health, Environmental and Occupational Health ,AIR-POLLUTION ,NOX ,GROUND-LEVEL OZONE ,Models, Theoretical ,ATMOSPHERE ,0104 chemical sciences ,METEOROLOGICAL PARAMETERS ,nitrogen oxides ,ozone ,chemistry ,13. Climate action ,Greenhouse gas ,SURFACE OZONE ,Environmental science ,weekend effect ,Environmental Monitoring - Abstract
Ground level ozone (O3) plays an important role in controlling the oxidation budget in the boundary layer and thus affects the environment and causes severe health disorders. Ozone gas, being one of the well-known greenhouse gases, although present in small quantities, contributes to global warming. In this study, we present a predictive model for the steady-state ozone concentrations during daytime (13:00&ndash, 17:00) and nighttime (01:00&ndash, 05:00) at an urban coastal site. The model is based on a modified approach of the null cycle of O3 and NOx and was evaluated against a one-year data-base of O3 and nitrogen oxides (NO and NO2) measured at an urban coastal site in Jeddah, on the west coast of Saudi Arabia. The model for daytime concentrations was found to be linearly dependent on the concentration ratio of NO2 to NO whereas that for the nighttime period was suggested to be inversely proportional to NO2 concentrations. Knowing that reactions involved in tropospheric O3 formation are very complex, this proposed model provides reasonable predictions for the daytime and nighttime concentrations. Since the current description of the model is solely based on the null cycle of O3 and NOx, other precursors could be considered in future development of this model. This study will serve as basis for future studies that might introduce informing strategies to control ground level O3 concentrations, as well as its precursors&rsquo, emissions.
- Published
- 2019
4. Biomass Burning Aerosols Observed in Northern Finland during the 2010 Wildfires in Russia
- Author
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Tero Mielonen, Antti Arola, Rigel Kivi, V. Aaltonen, Heikki Lihavainen, Antti Hyvärinen, and Mika Komppula
- Subjects
biomass burning aerosols ,Smoke ,Atmospheric Science ,Particle number ,Nephelometer ,in situ measurements ,lcsh:QC851-999 ,Environmental Science (miscellaneous) ,Atmospheric sciences ,Aethalometer ,smoke ,remote sensing ,Ceilometer ,humanities ,Aerosol ,Plume ,Atmosphere ,Environmental science ,lcsh:Meteorology. Climatology - Abstract
A smoke plume originating from the massive wildfires near Moscow was clearly detected in northern Finland on 30 July 2010. Measurements made with remote sensing instruments demonstrated how the biomass burning aerosols affected the chemical and optical characteristics of the atmosphere in regions hundreds of kilometers away from the actual fires. In this study, we used MODIS, AIRS, CALIOP, PFR, ceilometers, FTS and Brewer data to quantify the properties of the transported smoke plume. In addition, in situ measurements of aerosol concentration (DMPS), absorption (aethalometer) and scattering (nephelometer) are presented. We found that due to the smoke plume in northern Finland, the daily averaged optical thickness of aerosols increased fourfold, and MODIS retrieved AOD as high as 4.5 for the thickest part of the plume. FTS measurements showed that CO concentration increased by 100% during the plume. CALIOP and ceilometer measurements revealed that the smoke plume was located close to the surface, below 3 km, and that the plume was not homogeneously mixed. In addition, in situ measurements showed that the scattering and absorption coefficients were almost 20 times larger in the smoke plume than on average, and that the number of particles larger than 320 nm increased 14-fold. Moreover, a comparison with in situ measurements recorded in eastern Finland on the previous day showed that the transport from eastern to northern Finland decreased the scattering coefficient, black carbon concentration, and total number concentration 0.5%/h, 1.5%/h and 2.0%/h, respectively.
- Published
- 2013
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