The impact of landscape structures on PM10 concentrations DOI

Sung Joo Park,

Jin-Oh Kim

Landscape and Ecological Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский

Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air DOI Creative Commons
Jiayu Yang, Huabing Ke, Sunling Gong

et al.

Earth and Space Science, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 1, 2025

Abstract An automated air quality forecasting system (AI‐Air) was developed to optimize and improve for different typical cities, combined with the China Meteorological Administration Unified Atmospheric Chemistry Environmental Model (CUACE), used in a inland city of Zhengzhou coastal Haikou China. The performance evaluation results show that PM 2.5 forecasts, correlation coefficient (R) is increased by 0.07–0.13, mean error (ME) root square (RMSE) decreased 3.2–3.5 3.8–4.7 μg/m³. Similarly, O 3 R value improved 0.09–0.44, ME RMSE values are reduced 7.1–22.8 9.0–25.9 μg/m³, respectively. Case analyses operational also indicate AI‐Air can significantly pollutant concentrations effectively correct underestimation, or overestimation phenomena compared CUACE model. Additionally, explanatory were performed assess key meteorological factors affecting cities topographic climatic conditions. highlights potential AI techniques forecast accuracy efficiency, promising applications field forecasting.

Language: Английский

Citations

0
Population exposure evaluation and value loss analysis of PM2.5 and ozone in China DOI Creative Commons

Bingbing Wang,

Yaqin Ji,

Xiawei Yang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124480 - 124480

Published: Feb. 10, 2025

Language: Английский

Citations

0
Research on the Impact of Urban Built Environments on PM2.5 Pollution Based on Machine Learning Methods DOI
Xiaoxia Wang, Zhihai Fan,

Yue X

et al.

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102503 - 102503

Published: March 1, 2025

Language: Английский

Citations

0
Examining the Spatial and Temporal Variation of PM2.5 and Its Linkage with Meteorological Conditions in Dhaka, Bangladesh DOI Creative Commons
Mizanur Rahman, Lei Meng

Atmosphere, Journal Year: 2024, Volume and Issue: 15(12), P. 1426 - 1426

Published: Nov. 27, 2024

This study investigates the temporal and spatial variations in PM2.5 concentrations Dhaka, Bangladesh, from 2001 to 2023 evaluates impact of meteorological factors effectiveness mitigation strategies on air pollution. Using satellite ground-based data, this analyzed seasonal trends, daily fluctuations, influence COVID-19 lockdown measures quality. Our findings reveal a persistent increase levels, particularly during winter, with frequently exceeding WHO guidelines. analysis suggests significant correlations between conditions concentration, highlighting role conditions, such as rainfall, humidity, temperature, modulating levels. found that levels exhibited inverse correlation relative humidity (r = −0.72), rainfall −0.69), temperatures −0.79), mitigating pollution Additionally, underscores temporary improvements quality periods, demonstrating potential benefits sustained emission control measures. The research emphasizes need for comprehensive multi-faceted management strategies, including stringent vehicular industrial emissions regulations, enhancement urban green spaces, public awareness campaigns mitigate adverse health impacts Dhaka.

Language: Английский

Citations

2
A Nation-by-Nation Assessment of the Contribution of Southeast Asian Open Biomass Burning to PM2.5 in Thailand Using the Community Multiscale Air Quality-Integrated Source Apportionment Method Model DOI Creative Commons

Nanthapong Chantaraprachoom,

Hikari Shimadera, Katsushige Uranishi

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1358 - 1358

Published: Nov. 12, 2024

This study utilized the Community Multiscale Air Quality (CMAQ) model to assess impact of open biomass burning (OBB) in Thailand and neighboring countries—Myanmar, Laos, Cambodia, Vietnam—on PM2.5 concentrations Bangkok Metropolitan Region (BMR) Upper Northern Thailand. The was further divided into west, central, east sub-regions (WUN, CUN, EUN) based on geographical borders. CMAQ used simulate spatiotemporal variations over a wide domain Asia 2019. Integrated Source Apportionment Method (ISAM) quantify contributions from OBB each country. results showed that had minor BMR, but transboundary transport Myanmar contributed an increase levels during peak period March April. In contrast, substantially impacted Region, with being major contributor WUN CUN domestic EUN months. Despite Laos having highest emissions, meteorological conditions caused spread eastward rather than These findings highlight critical regional emphasize necessity for collaborative strategies mitigating pollution across Southeast Asia.

Language: Английский

Citations

0
The impact of landscape structures on PM10 concentrations DOI

Sung Joo Park,

Jin-Oh Kim

Landscape and Ecological Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 7, 2024

Language: Английский

Citations

0