Spatial mapping of indoor air quality in a light metro system using the geographic information system method DOI Creative Commons
Ahmet Çoşgun

Open Chemistry, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract It is known that one of the greatest problems developed countries in twenty-first century traffic. For this reason, engineers have searched for alternative solutions to problem One such solution construction and utilization rail systems instead main roads. From an engineering perspective, can be divided into three groups: metro, light tram systems. Light metro systems, which are a form public transportation, not directly inside Their most important advantages include fact they do release combustion products as CO, may considered environmentally friendly based solely on their electricity consumption. In study, measurements parameters affecting indoor air quality were made cars around stations belonging system Metropolitan Municipality Antalya, tourism capital Turkey. February March 2021, when COVID-19 pandemic was first registered Turkey, particulate matter (PM), temperature, relative humidity testing outside quality. Moreover, parameters, humidity, normalized difference vegetation index, ultraviolet aerosol index data obtained from General Directorate Meteorology The measurement results analyzed using inverse distance weighting method geographic information system. Based analyses, spatial maps created Using these maps, effects passenger density environmental factors both at identified. addition, spread SARS-CoV-2 virus period PM 0.3 0.5 parameters. believed study will set example further studies worldwide, unique it employed used particularly survey geomatics analyzing

Language: Английский

Trends in Polychlorinated Biphenyl Contamination in Bucharest’s Urban Soils: A Two-Decade Perspective (2002–2022) DOI Open Access
Mirela Alina Sandu, Mihaela Preda, Veronica TĂNASE

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1357 - 1357

Published: April 29, 2025

Polychlorinated biphenyls (PCBs) are synthetic organic compounds that were widely used in industrial applications throughout the 20th century. Due to their chemical stability, resistance degradation and ability bioaccumulate biomagnify through food chains, PCBs pose long-term environmental health risks. these characteristics, have been globally regulated as persistent pollutants (POPs), despite being banned from production most countries decades ago. This study investigates temporal trends PCB contamination urban soils of Bucharest over a 20-year period (2002–2022), focusing on six principal congeners (PCB 28, 52, 101, 138, 153, 180) sampled 13 locations, including roadsides parks. Gas chromatography spatial analysis using inverse distance weighting (IDW) revealed marked reduction Σ6PCB concentrations, declining 0.0159 mg/kg 2002 0.0065 2022, with statistically significant differences confirmed by Kruskal–Wallis (p < 0.05). decline is primarily attributed reduced emissions, source control measures, natural attenuation. However, persistence localized hotspots influenced secondary dispersion mechanisms, such atmospheric deposition surface runoff, which redistribute contaminants rather than eliminate them. Health risk assessments via ingestion, dermal absorption, inhalation routes negligible carcinogenic for both adults children. Although measurable progress has achieved, underscores need targeted remediation strategies sustained monitoring protect vulnerable areas recontamination.

Language: Английский

Citations

0
Unravelling Bangalore's air quality during the second wave: Multifaceted analysis of COVID-19 lockdown impact DOI Creative Commons

Iranna Gogeri,

K. C. Gouda,

Aruna S.T.

et al.

Natural Hazards Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This study assesses the impact of second wave COVID-19 lockdown (March–June 2021) on air pollution levels in Bangalore, India, using real-time data from eight CPCB monitoring stations across city. research endeavours to dissect multifaceted 2021 s Bangalore's quality. Leveraging sourced city, meticulously delves into diverse analyses grasp nuanced implications measures. It scrutinizes changes six major pollutants: PM2.5, PM10, CO, NO2, SO2, and O3 during compared same period 2020. The comprehensive studies different temporal scales were examined such as daily, weekly, seasonal. daily weekly averages computed assess percentage change pollutant concentrations March June pre-lockdown phases. seasonal derived capture trends variations. examination disparities city's (ST1 ST8), unravelling localized variations comprehending spatial intricacies influencing quality within Bangalore. comparison between 2020 periods, offering insights relative levels. (April 27 14) significantly dropped phase (March 9 April 26) by considerable percentages various PM2.5 (45 %), PM10 (49 (37 NO2 (41 SO2 (5 CO (30 %). comparative evaluation intensity common periods first (2020) (2021) COVID-19. contiguity illuminates shifts underscores differing dynamics these distinct provides over Bangalore city lockdown. offer a detailed understanding temporal, spatial, facets dynamics, shedding light significant restrictions urban

Language: Английский

Citations

2
High-Spatiotemporal-Resolution Estimation of Ground-Level Ozone in China Based on Machine Learning DOI Creative Commons
Jiahuan Chen, Heng Dong, Zili Zhang

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 15(1), P. 34 - 34

Published: Dec. 27, 2023

High concentrations of ground-level ozone (O3) pose a significant threat to human health. Obtaining high-spatiotemporal-resolution information about O3 is paramount importance for pollution control. However, the current monitoring methods have lot limitations. Ground-based falls short in providing extensive coverage, and remote sensing based on satellites constrained by specific spectral bands, lacking sensitivity O3. To address this issue, we combined brightness temperature data from Himawari-8 satellite with meteorological ground-based station train four machine learning models obtain O3, including Categorical Boosting (CatBoost), eXtreme Gradient (XGBoost), Light Machine (LGBM), Random Forest (RF). Among these, CatBoost model exhibited superior performance, achieving ten-fold cross-validation R2 0.8534, an RMSE 17.735 μg/m3, MAE 12.6594 μg/m3. Furthermore, all selected feature variables our study positively influenced model. Subsequently, employed estimate averaged hourly at 2 km resolution. The estimation results indicate close relationship between activities solar radiation.

Language: Английский

Citations

2
Spatial mapping of indoor air quality in a light metro system using the geographic information system method DOI Creative Commons
Ahmet Çoşgun

Open Chemistry, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 1, 2024

Abstract It is known that one of the greatest problems developed countries in twenty-first century traffic. For this reason, engineers have searched for alternative solutions to problem One such solution construction and utilization rail systems instead main roads. From an engineering perspective, can be divided into three groups: metro, light tram systems. Light metro systems, which are a form public transportation, not directly inside Their most important advantages include fact they do release combustion products as CO, may considered environmentally friendly based solely on their electricity consumption. In study, measurements parameters affecting indoor air quality were made cars around stations belonging system Metropolitan Municipality Antalya, tourism capital Turkey. February March 2021, when COVID-19 pandemic was first registered Turkey, particulate matter (PM), temperature, relative humidity testing outside quality. Moreover, parameters, humidity, normalized difference vegetation index, ultraviolet aerosol index data obtained from General Directorate Meteorology The measurement results analyzed using inverse distance weighting method geographic information system. Based analyses, spatial maps created Using these maps, effects passenger density environmental factors both at identified. addition, spread SARS-CoV-2 virus period PM 0.3 0.5 parameters. believed study will set example further studies worldwide, unique it employed used particularly survey geomatics analyzing

Language: Английский

Citations

0