Assessment of seasonal variations in vehicular emissions at traffic intersections in Ibadan using AERMOD dispersion model DOI
Emmanuel Toluwalope Odediran, Jamiu Adetayo Adeniran, Rafiu Olasunkanmi Yusuf

et al.

Environmental Quality Management, Journal Year: 2024, Volume and Issue: 34(1)

Published: March 10, 2024

Abstract African cities grapple with urban air pollution from traffic‐related pollutants (TRAPs). This study investigated TRAPs concentration variations at traffic intersections (TIs) in Ibadan, Nigeria. AERMOD model was employed to examine dispersion 25 selected TIs, considered as volume sources. Seasonal distributions of six (CO, NO 2 , SO TVOCs, PM 2.5 and 10 ) were determined using meteorological, topographical, pollutants’ emission rates AERMOD. Estimated peak concentrations the studied generally higher rainy season than dry season, surpassing quality standards set by World Health Organization (WHO) Nigeria's National Environmental Standards Regulations Enforcement Agency (NESREA) during seasons except (24 h) which did not exceed NESREA standard. highlighted TIs significant contributors degradation both Ibadan showed AERMOD's suitability for studies.

Language: Английский

Enhancing Air Quality Forecasting: A Novel Spatio-Temporal Model Integrating Graph Convolution and Multi-Head Attention Mechanism DOI Creative Commons
Yumeng Wang, Ke Liu, Yuejun He

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(4), P. 418 - 418

Published: March 27, 2024

Forecasting air quality plays a crucial role in preventing and controlling pollution. It is particularly significant for improving preparedness heavily polluted weather conditions ensuring the health safety of population. In this study, novel deep learning model predicting spatio-temporal variations introduced. The model, named graph long short-term memory with multi-head attention (GLSTMMA), designed to capture temporal patterns spatial relationships within multivariate time series data related quality. GLSTMMA utilizes hybrid neural network architecture effectively learn complex dependencies correlations present data. extraction features involves utilization convolutional (GCN) collect based on geographical distribution monitoring sites. resulting structure imported into (LSTM) establish Graph LSTM unit, facilitating Leveraging an encoder-multiple-attention decoder framework formulated enable more profound efficient exploration correlation research 2019–2021 multi-source dataset Qinghai Province experimental assessment. results indicate that leverages impact data, optimal accuracy six pollutants.

Language: Английский

Citations

4

Appraisal of polycyclic aromatic hydrocarbons (PAHs) in indoor dust of Eastern Nigeria and its implications in the COVID-19 years DOI Creative Commons
Chideraa Courage Offor, John Kanayochukwu Nduka

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: 14, P. 100424 - 100424

Published: March 28, 2024

The risk assessment of PAHs in settled indoor dusts from different localities Awka, Ekwulobia, and Rumuodomaya-Ogale, Eastern Nigeria, were investigated. Settled dust samples (n = 144) collected the windows floor using brush analysed for with GC- FID. Dust showed higher total concentrations than order; Rumuodomaya-Ogale > Ekwulobia Awka. 3- 4-ring dominant window Awka all months, while 3-ring compound Ekwulobia. PAH a significant difference across months (p<0.05). In 3, 4, 5-ring supersede dust. This that is major sink 3-5-ring PAHs. compounds; BaA, DahA, Ant, BaP, DBA contributors to benzo(a)pyrene as toxicity equivalence (BaPTEQ) values incremental life cancer was < 1.0 × 10−04 study area; hence, increased activities during COVID-19 lockdown had no effect on human health populace.

Language: Английский

Citations

4

The interplay between air pollution, built environment, and physical activity: Perceptions of children and youth in rural and urban India DOI
Jamin Patel, Tarun Reddy Katapally, Anuradha Khadilkar

et al.

Health & Place, Journal Year: 2023, Volume and Issue: 85, P. 103167 - 103167

Published: Dec. 20, 2023

Language: Английский

Citations

10

Advanced Statistical Analysis of Air Quality and its Health Impacts in India: Quantifying Significance by Detangling Weather-Driven Effects DOI Creative Commons
Akshansha Chauhan,

Guggilla Pavan Sai,

Chin-Yu Hsu

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41762 - e41762

Published: Jan. 1, 2025

Air quality has emerged as a significant concern due to its direct impact on human health. Over recent decades, India witnessed marked deterioration in air rising anthropogenic emissions and climate change. The COVID-19 lockdown offered unique opportunity examine pollutant reductions under restricted activities. This study conducted long-term analysis of five major Indian cities-Delhi, Kolkata, Bengaluru, Hyderabad, Visakhapatnam-by analysing variations PM2.5, PM10, NOx, NH3, SO2, CO, O3, incorporating de-weathering strategy isolate meteorological influences. In Delhi, we observed PM10 (92.50-136.70 μg/m³), NOx (62.13-151.91 ppb), CO (0.53-0.88 mg/m³), which shifted health risks from the 'extreme' 'low' category. Visakhapatnam also experienced notable declines levels (7.50-17.13 ppb). Conversely, Hyderabad exhibited no reductions, AQHI increased (+0.97) concentrations. Ozone concentrations showed increase across cities, attributed VOC-limited effects. revealed that variability long-range transport airmass played critical roles shaping These findings highlight complexity urban dynamics underscore benefits emission for public

Language: Английский

Citations

0

Unintended environmental sustainability ramifications of US sanctions DOI
Reza Hesarzadeh

International Political Science Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

This study examines the environmental impacts of US sanctions on Iranian companies from 2013 to 2023, finding significant increases in air pollution, energy consumption and industrial waste. Although corporate governance social responsibility practices offer some mitigation, they do not fully offset negative effects. However, community capital completely neutralizes damage. research contributes public policy discourse by emphasizing complex unintended consequences sustainability.

Language: Английский

Citations

0

Influence of Wind Flows on Surface O3 Variation over a Coastal Province in Southeast China DOI Creative Commons

Yukun Shen,

Jane Liu, Zhixiong Chen

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(3), P. 262 - 262

Published: Feb. 22, 2024

Surface ozone (O3) is influenced not only by anthropogenic emissions but also meteorological factors, with wind direction being one of the most overlooked factors. Here, we combine observational data both O3 and flow to compare variation in surface between coastal inland regions Fujian, a province southeast coast China complicated topography. We further conduct numerical simulation using global chemical transport model, GEOS-Chem, interpret results, explore linkages these variations flows, identify dominant processes for occurrence high that varies flows. The results from observations over 2015–2021 suggest that, regions, concentrations show strong dependence on changes. On average, during daytime, when southeasterly winds prevail, mean reaches 83.5 μg/m3, which 5.0 μg/m3 higher than its baseline values (the concentrations), while northwesterly tend reduce 6.4 μg/m3. positive anomalies are autumn summer spring winter. During nighttime, onshore northeasterly associated enhanced levels, likely due airmass containing less NO2, alleviating titration effects. Over however, sensitive GEOS-Chem simulations prevailing southwesterly lead anomaly reactions suggesting photochemical production rates. Furthermore, aid transporting more outer into jointly elevated dominates. When affected flows different directions, reaction do exhibit significant differences regarding their impact O3. This could be reasons difference distribution regions. study help deepen our understanding pollution providing an effective warning high-O3 episodes.

Language: Английский

Citations

3

Source apportionment and wet scavenging ability of atmospheric black carbon during haze in Northeast China DOI
Shuo Ding, Delong Zhao, Ping Tian

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124470 - 124470

Published: June 29, 2024

Language: Английский

Citations

3

Geographical variability of ultrafine particle concentrations in urban and background regions in India DOI
Vignesh Mohan, Vijay Kumar Soni, Rajeev Kumar Mishra

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102066 - 102066

Published: July 1, 2024

Language: Английский

Citations

3

Morphology and health risk assessment of potential toxic elements in size segregated PM at traffic intersection in Northern India DOI Creative Commons
Rahul Tiwari, Akshay Botle, Rakesh Kumar

et al.

Journal of Trace Elements and Minerals, Journal Year: 2023, Volume and Issue: 4, P. 100074 - 100074

Published: May 25, 2023

The current research attempted to evaluate the concentrations of PM in size segregation by analysing metal content and its health effect on human beings at traffic junction. Higher levels (PM2.5–1.0 PM1.0–0.5) were observed (418.55 µg/m3, 442.65 µg/m3) during winter season while monsoon season, it was recorded as (75.54 65.64 µg/m3). Overall for PM2.5–1.0 PM1.0–0.5 reported be (39.01 (29.84 season. A morphological study also evaluated with source identification. Al, Ca, Fe, Mg, Mn found crustal elements, whereas Cd, Cr, Cu, Zn, Pb highly enriched. hazard Quotient values higher comparison safe limit which has adverse effects health. 1.95 HQ 1.30 respectively, showed worry from smaller particles humans. Adults' Lifetime cancer risk (ELCR) greater (0.0007) than children's (0.0002). trend carcinogenicity both segments Cr(VI)>Pb>Ni. ELCR >PM2.5–1.0. average carcinogenic factor value revealed two times more USEPA's authorized level (1 × 10−6) particles, according data, are harmful or have a values.

Language: Английский

Citations

7

Sources and composition of elemental carbon during haze events in North China by a high time-resolved study DOI
Hongxing Jiang, Junjie Cai, Xinxin Feng

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 907, P. 168055 - 168055

Published: Oct. 27, 2023

Language: Английский

Citations

7