Air Quality Prediction Using Stacking DOI Open Access

Sharma Anjali,

Sakchi Choudhary,

Kanmani P

et al.

Published: Jan. 1, 2023

The atmosphere is the most important resource required for survival of all living beings including plants.The air quality depleting at a faster pace due to growing industries, construction houses and excessive use vehicles rapid growth population.Air described as be degree which clean in particular area.As India grows areas industrialization urbanization, also slowly emission harmful gases particles by industries vehicles.Every household has least one car this adds up problem different areas.The aim study apply Stacking Ensemble Model order make predictions about specific location India, built on regression models such Gaussian Process model, Support Vector Regressor Model, Stochastic Gradient Descent model AdaBoostRegressor Model.

Language: Английский

Changes of Air Pollution between Countries Because of Lockdowns to Face COVID-19 Pandemic DOI Creative Commons
Aytac Perihan Akan, Mario Coccia

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(24), P. 12806 - 12806

Published: Dec. 13, 2022

The goal of this study is to analyze how levels air pollution changed between countries with their restriction policy lockdown cope the COVID-19 pandemic. design compares average changes CO, NO2, SO2, O3, PM2.5 and PM10 concentrations based on measurements at ground level in January, February, March for years 2019, 2020, 2021, 2022 (during pandemic crisis) values a 2015–2018 baseline period (ex-ante pandemic) 300 cities 19 five geoeconomic regions. Results reveal that maximum reduction pollutant given by: CO (−4367.5%) France, NO2 (−150.5%) China Australia, SO2 (−154.1%) Israel, O3 (−94.1%) China, (−41.4%) Germany, (−157.4%) Turkey. Findings show effects policies quality vary significantly countries, depending different geographical, economic, industrial social characteristics countries. These results clarify critical relationship control measures crises can support best practices environmental pathways sustainable development.

Language: Английский

Citations

33
Evaluating urban ozone dynamics in two Indian megacities using ground data and predictive ozone modelling: role of AVOC – NOx regime and influence on secondary PM levels DOI

Yuva Kiran Kadali,

Abhishek Chakraborty

Journal of Atmospheric Chemistry, Journal Year: 2025, Volume and Issue: 82(1)

Published: March 25, 2025

Language: Английский

Citations

0
Machine learning models for estimating criteria pollutants and health risk-based air quality indices over eastern coast coal mine complex belts DOI Creative Commons
Pradeep Kumar, Arti Choudhary, P. K. Joshi

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: May 12, 2025

Estimating criteria pollutants is crucial due to their continuous increase and impact on respiratory health. To mitigate the of air pollution human health, it essential understand concentration at specific locations. This study aims evaluate variation, estimate levels pollutants, assess potential health risks in vicinity a coal mine complex thermal power plant situated an eastern coastal state India. The pre-existing hot spot regions—Talcher (T) Brajrajnagar (B)—which host many coal-fired plants clusters coal-mining blocks Odisha, are considered. Talcher consistently shows higher particulate matter (PM 10 ), nitrogen dioxide (NO 2 sulfur (SO reflecting greater industrial impact. Brajrajnagar, while also impacted, exhibits comparatively lower pollutant concentrations. observed seasonal trends highlight necessity for targeted mitigation strategies address associated these regions. Novel machine learning (ML) models, including independent component regression (ICR), ElasticNet (ENET), boosted tree (BT), applied pollutants. Statistical analyses BT as superior model, outperforming ENET ICR estimation, particularly Talcher. Taylor plots statistical evaluations further validate model’s robustness estimation. Additionally, assesses posed nearby populations Brajrajnagar. analysis highlights significant spatial disparities levels, with recording concentrations PM , NO SO poorer quality index (AQI) than risks, exposure linked up 6% 5% 3% . risk-based (HAQI) reveals underestimation by current AQI, emphasizing need improved metrics impacts multi-pollutant exposure.

Language: Английский

Citations

0
Spatio-temporal air quality assessment in Tehran, Iran, during the COVID-19 lockdown periods DOI Creative Commons
Mozhgan Bagherinia,

Siamak Bodaghpour,

Neamat Karimi

et al.

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Jan. 19, 2023

Based on ground-based and satellite-based data, spatio-temporal analyses of air quality in Tehran were carried out during the lockdown periods (February-April) 2020 2021. We evaluated differences temporal emissions six pollutants (NO2, CO, SO2, O3, PM2.5, PM10) at various time scales, including diurnal, monthly, relative changes. The results measurements indicated that for all except magnitude decreased (11-42%) compared to baseline period (2015-2021). As a result eased restrictions unfavorable meteorological conditions, reduction was lower 2021 (5-32%), PM2.5 PM10 levels increased (3.75 11.22%). Satellite-based concentrations AOD) varied from −8 54% −41 60% 2019 as pre-lockdown year. Concerning AOD, trend is consistent with dust events March April our region.

Language: Английский

Citations

9
Evaluating air quality and criteria pollutants prediction disparities by data mining along a stretch of urban-rural agglomeration includes coal-mine belts and thermal power plants DOI Creative Commons
Arti Choudhary, Pradeep Kumar, Chinmay Pradhan

et al.

Frontiers in Environmental Science, Journal Year: 2023, Volume and Issue: 11

Published: Nov. 16, 2023

Air pollution has become a threat to human life around the world since researchers have demonstrated several effects of air environment, climate, and society. The proposed research was organized in terms National Quality Index (NAQI) pollutants prediction using data mining algorithms for particular timeframe dataset (01 January 2019, 01 June 2021) industrial eastern coastal state India. Over half study period, concentrations PM 2.5 , 10 CO were times higher than NAQI standard limit. NAQI, consistency frequency analysis, revealed that moderate level (ranges 101–200) maximum occurrence (26–158 days), 36%–73% throughout period. satisfactory 51–100) 4–43 days with 13%–67%. Poor very poor quality found 13–50 year, 9%–25%. Random Forest (RF), Support Vector Machine (SVM), Bagged Multivariate Adaptive Regression Splines (MARS) Bayesian Regularized Neural Networks (BRNN) are algorithms, showed efficiency NO 2 SO except O 3 at Talcher Brajrajnagar. Root Mean Square Error (RMSE) between observed predicted values 12.40–17.90) correlation coefficient (r) 0.83–0.92) training testing indicate about slightly better by RF, SVM, bagged MARS, BRNN models comparison RMSE 13.06–21.66) r 0.64–0.91) However, (RMSE: 25.80–43.41; r: 0.57–0.90), 3.00–4.95; 0.42–0.88) 2.78–5.46; 0.31–0.88) Brajrajnagar 35.40–55.33; 0.68–0.91), 4.99–9.11; 0.48–0.92), 4.91–9.47; 0.20–0.93) MARS models, respectively. Taylor plots these promising accuracy predicting quality. findings will help scientific community policymakers understand distribution strategize reduction enhance region.

Language: Английский

Citations

6
Evaluating aerosols concentration and air quality of Indian urban agglomerations over nationwide and regional lockdown DOI
Swades Pal, Susanta Mahato, Indrajit Mandal

et al.

Atmospheric Pollution Research, Journal Year: 2022, Volume and Issue: 13(10), P. 101567 - 101567

Published: Oct. 1, 2022

Language: Английский

Citations

4
Impact of lockdown (COVID-19) and unlocking period on ambient air quality and human health in Lucknow city, India DOI
Ankit Kumar, Priya Saxena,

Abdul Atiq Siddiqui

et al.

Journal of Atmospheric Chemistry, Journal Year: 2023, Volume and Issue: 80(4), P. 271 - 289

Published: Aug. 2, 2023

Language: Английский

Citations

2
COVID-19 Lockdown Impact on Air Pollution: A Global Comparative Analysis DOI Open Access
Aytac Perihan Akan, Mario Coccia

Published: Oct. 27, 2022

The goal of this study is to develop a global analysis, based on data from 2015 2022, that clarifies the impact containment policies (e.g., lockdown and quarantine) for Coronavirus Disease-2019 (COVID-19) air pollution between countries different continents. In context, average changes CO, NO2, SO2, O3, PM2.5, PM10 concentrations measurements at ground level in January, February, March 2019, 2020, 2021, 2022 are compared with values 2015-2018 period 300 cities 19 5 Results show maximum reduction pollutant during given by: CO (-4,367.5%) France, NO2 (-150.5%) China Australia, SO2 (-154.1%) Israel, O3 (-94.1%) China, PM2.5 (-41.4%) Germany (-157.4%) Turkey. Findings reveal effects quality vary significantly depending geographical characteristics regions. This has main environmental policy implications because it critical role severe control measure reduce support sustainable environment development.

Language: Английский

Citations

2
Variations in local, transported, and exposure risks of PM2.5 pollution: Insights from long-term monitoring data in mega coastal city DOI
Pavanaditya Badida,

Jayapriya Jayaprakash

Human and Ecological Risk Assessment An International Journal, Journal Year: 2022, Volume and Issue: 28(10), P. 1146 - 1174

Published: Oct. 23, 2022

Urban air quality is influenced by both local and external sources of pollution. The outbreak Coronavirus COVID-19 had led to implementation stringent lockdowns at different levels governance. National Level Lockdown (NLL) was imposed in 2020 State (SLL), 2021 curb the spread disease. A direct consequence lockdown dramatic improvement various urban agglomerations. present study investigated effects national regional on PM2.5 morphological units Chennai Metropolitan Region, fourth-largest conglomeration India. Hourly measurements over a 6-year period (2016–2021) three monitoring sites were segregated into Pre-lockdown Phase (PLP) (2016–2019), NLL, SLL analyze reductions levels. Local using Conditional Bivariate Probability Function (CBPF) whereas transported evaluated Concentration Weighted Trajectory (CWT) Cluster Analysis. results showed that Region reduced 33.45% during NLL 48.95% when compared PLP. Mann Kendall Test statistically significant (p < .001) decreasing trend Manali Monitoring Site, Alandur Velachery Site. CBPF variations contributions for all selected time frames. CWT analysis Health Risk Assessment Integrated Exposure Response (IER) model function excess mortality health endpoints period. Steep cases observed SLL. show implemented state level proved be more effective than reducing metropolitan Region.

Language: Английский

Citations

1
Air Quality Prediction Using Stacking DOI Open Access

Sharma Anjali,

Sakchi Choudhary,

Kanmani P

et al.

Published: Jan. 1, 2023

The atmosphere is the most important resource required for survival of all living beings including plants.The air quality depleting at a faster pace due to growing industries, construction houses and excessive use vehicles rapid growth population.Air described as be degree which clean in particular area.As India grows areas industrialization urbanization, also slowly emission harmful gases particles by industries vehicles.Every household has least one car this adds up problem different areas.The aim study apply Stacking Ensemble Model order make predictions about specific location India, built on regression models such Gaussian Process model, Support Vector Regressor Model, Stochastic Gradient Descent model AdaBoostRegressor Model.

Language: Английский

Citations

0