Results 41 to 50 of about 72,979 (290)

Prediction of PM10 pollution using principal component regression and hybrid artificial neural network model [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2022
Air pollution, especially particulate matter (PM) pollution, has a significant impact on India. PM pollution is due to roadside dust, fossil fuel use, vehicular population, and industrial emissions.
Sateesh N Hosamane
doaj   +1 more source

Analysis of Impact Factors on the Variation of PM10 Concentration in Seoul, Korea : Focus on PM10 Concentration Measured in 2003, 2004

Asian Journal of Atmospheric Environment, 2012
To identify the primary factor affected the decreased PM10 concentration in Seoul which is the capital city of Korea, wind speed and emissions in 2003 and 2004 were analyzed.
Hyung-Do Song, Hee-Chul Lee, Chun-Kyoung Kwon , Rhok-Ho Kim, Sang-Kyun Kim, Jae-Bum Lee   +5 more
doaj   +1 more source

INFLUENCE OF NATURAL AIR EXCHANGE ON THE CONCENTRATION OF SUSPENDED PARTICLES

Вестник СибАДИ, 2019
Introduction. The purpose of the article is to assess the quality of indoor air in university by measuring the concentration of suspended particles. In the Russian Federation, the rationing of maximum permissible concentrations of undifferentiated dust ...
D. V. Abramkina, K. M. Agakhanova
doaj   +1 more source

VARIATION OF PM10 CONCENTRATION DEPENDING ON THE METEOROLOGICAL PARAMETERS IN TWO BUCHAREST MONITORING STATIONS (IN GREEN AREAS) [PDF]

Present Environment and Sustainable Development, 2020
This study presents the assessment of the PM10 emissions in areas from the south of Bucharest and Ilfov county, for a period of 11 years, during 2008-2018, taking into consideration the most important meteorological parameters with influence to air ...
Katalin Bodor, Réka Boga, Tímea Pernyeszi, Szende Tonk, György Deák   +4 more
doaj   +1 more source

Investigation of Temporal Changes in the Dust Particle Concentration in Zabol City Air Using Air Quality Index

تحقیقات سلامت در جامعه, 2021
Introduction and purpose: During the past decade, the scientific community has noticed the important impacts of suspended dust in the air on climate, human health, the environment, and various socio-economic sectors. The dust concentration has a negative
Nayiereh Pourmollaei, Ali Mohammadi, Edris Bazrafshan, Morteza Ismailnejad, Akram Al-Muluk Lahijanian   +4 more
doaj  

Sources of indoor particulate matter (PM) and outdoor air pollution in China in relation to asthma, wheeze, rhinitis and eczema among pre-school children: Synergistic effects between antibiotics use and PM10 and second hand smoke.

Environment International, 2019
We studied indoor sources of indoor particulate matter (PM), outdoor air pollution and antibiotic use in relation to asthma, rhinitis and eczema among pre-school children and investigated synergistic effects between PM and antibiotics use. Children (3-6y)
D. Norbäck, Chan Lu, Yinping Zhang, Baizhan Li, Zhuohui Zhao, Chen Huang, Xin Zhang, Hua Qian, Yuexia Sun, Juan Wang, Wei Liu, J. Sundell, Qihong Deng   +12 more
semanticscholar   +1 more source

Descripción de la remoción de material particulado por una barrera arbórea en un entorno urbano

Colombia Forestal
El crecimiento y la densificación de las ciudades plantean importantes retos relacionados con la contaminación del aire. En este estudio se analizó la capacidad de una barrera arbórea modelo cercana a dos vías con alto tráfico vehicular para reducir la ...
Carlos Vicente Rey Guerra, Laura julieth Monroy Rodríguez, Luisa Fernanda Lozano Benavides, Omar Ramirez, Miguel Quirama Aguilar   +4 more
doaj   +1 more source

Seasonal variations of gaseous air pollutants (SO2, NO2, O3, CO) and particulates (PM2.5, PM10) in Gazipur: an industrial city in Bangladesh [PDF]

Advances in Environmental Technology, 2020
The present study assessed the impacts of seasonal variation on the atmospheric abundance of gaseous air pollutants (SO2, NO2, O3, CO) and particulates (PM2.5 and PM10) at Gazipur city.
Tarmina Mukta, Mir Md. Hoque, Md. Sarker, Md Hossain, Gautom Biswas   +4 more
doaj   +1 more source

Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2.5)

Atmospheric pollution research, 2019
This study presents a new method for evaluating the effectiveness of roadside PM10 and PM2.5 reduction scenarios using Machine Learning (ML) based models. The ML methods include Artificial Neural Networks (ANN), Boosted Regression Trees (BRT) and Support
A. Suleiman, M. Tight, A. Quinn
semanticscholar   +1 more source

Development of Multiple Linear Regression for Particulate Matter (PM10) Forecasting during Episodic Transboundary Haze Event in Malaysia

, 2020
Malaysia has been facing transboundary haze events every year in which the air contains particulate matter, particularly PM10, which affects human health and the environment.
S. Abdullah, N. N. L. M. Napi, A. Ahmed, W. Mansor, A. Mansor, M. Ismail, A. Abdullah, Z. T. A. Ramly   +7 more
semanticscholar   +1 more source