Regression trees modeling of time series for air pollution analysis and forecasting

SG Gocheva-Ilieva, DS Voynikova… - Neural Computing and …, 2019 - Springer
Solving the problems related to air pollution is crucial for human health and the ecosystems
in many urban areas throughout the world. The accumulation of large arrays of data with …

Investigation of PM10 prediction utilizing data mining techniques: Analyze by topic

K Srijiranon, N Eiamkanitchat… - … : Data Mining and …, 2021 - Wiley Online Library
Abstract Coarse particulate matter (PM10), the inhalable particles with an aerodynamic
diameter smaller than 10 micrometers are one of the major air pollutions that affect human …

Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM10 in Malaysia using multivariate regression (MVR) and GIS

A Tella, AL Balogun, I Faye - Geomatics, Natural Hazards and Risk, 2021 - Taylor & Francis
In an era of rapidly changing climate, investigating the impacts of climate parameters on
major air pollutants such as Particulate matter (PM10) is imperative to mitigate its adverse …

Statistical study of particulate matter (PM10) air contamination in the city of Vidin, Bulgaria

E Veleva, M Filipova, I Zheleva - AIP Conference Proceedings, 2022 - pubs.aip.org
The paper presents a detailed statistical analysis to study the concentrations of PM10 for the
city of Vidin, Bulgaria. The town of Vidin is located in north-western Bulgaria, on the south …

Assaying SARIMA and generalised regularised regression for particulate matter PM10 modelling and forecasting

S Gocheva-Ilieva, A Ivanov - International Journal of …, 2019 - inderscienceonline.com
Two different predictive modelling approaches–classical SARIMA time series methodology
and the new Generalised PathSeeker (GPS) regularised regression method, supported by …

Decomposition techniques for modelling the levels of particulate matter PM10 air pollutant in the city of silistra, Bulgaria

E Veleva, I Zheleva, I Georgiev - AIP Conference Proceedings, 2020 - pubs.aip.org
For the studied average monthly values of the levels of the air pollutant PM10 in Silistra in
the period 01.2015–12.2019, two modern methods for decomposition were used-X …

Evaluation of planting's effect on mitigating PM2. 5 and PM 10 concentrations in Basra city, Iraq

IM AL-Tameemi, AJ AL-Maliki, TH Nafea - AIP Conference …, 2023 - pubs.aip.org
This study conducted to evaluate the air pollution due to Particulate Matter (PM) emissions,
especially PM2. 5 and PM10 in ambient air of Basra Province,, Iraq. Two sampling locations …

Statistical study of the influence of the atmospheric characteristics upon the particulate matter (pm10) air pollutant in the city of Silistra, Bulgaria

IT Zheleva, M Filipova - AIP Conference Proceedings, 2019 - pubs.aip.org
Air pollution by particulate matter with a particle diameter between 2.5 and 10 μm (PM10) is
going up recently in the entire Danube region, Bulgaria [1, 2, 5, 6]. The sources of dust on …

Air quality in Bulgaria—Monitoring data, perspectives, scientific research. Pollution Study. 2024; 5 (1): 2798

I Zheleva - measurements, 2024 - aber.apacsci.com
This paper addresses air quality in Bulgaria, a pressing environmental issue with monitoring
data indicating persistent challenges in urban areas due to pollutants like PM10 and NO 2 …