PM10

ASSESSMENT OF AIR QUALITY IN AN INDUSTRIAL FACILITY IN RUMUEME, PORT HARCOURT, NIGERIA

Air quality in Port Harcourt, Nigeria is being assessed due to black soot, raising concerns among residents. The survey aims to assess airborne particulates in an industrial area in Rumueme, Port Harcourt, measuring pollutants with air sampling devices at different locations. GPS locates sampling spots, measurements taken at 1.6m, and noise levels measured. Particulate matter analyzed using GC-FID method. The residential area was found to Unhealthy levels of PM2.5 are present above USEPA and WHO limits, at 38.70 µgm-3.

Predictive modeling of haze using chaos theory and deep learning algorithms

With the swift growth of urbanization and industrialization, fine particulate matter (PM$_{10}$) has escalated into a major global environmental crisis.  PM$_{10}$ is often used as a haze indicator, severely affecting human health and ecosystem stability.  Accurate prediction of PM$_{10}$ levels is crucial, but existing models face challenges in handling vast data and achieving high accuracy.  This study investigates four years of PM$_{10}$ time series in industrial area in Malaysia.  Paper aims to develop and compare haze predicting models using chaos theory, including

STATISTICAL ASSESSMENT OF THE DYNAMICS OF CHANGES IN THE PM10 AND PM2.5 LEVEL IN THE AIR OF URBANIZED AREAS

This article addresses the issue of atmospheric pollution caused by solid particles in urban environments. The presence of PM10 and PM2,5 particles in the air of major cities and industrial areas worldwide has been examined. An evaluation of atmospheric pollution levels with PM10 and PM2,5 particles in Kostopil, considering current air quality standards in Ukraine and the European Union, has been conducted. The authors employed the gravimetric method to measure the levels of suspended dust particles (PM10 and PM2,5) in Kostopil from autumn 2022 to winter 2023.