Space–Time Evaluation of Atmospheric Black Carbon in Chinese Urban Environment: Influence of Land Use and Air Pollution Policies

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 8(2), P. 501 - 519

Published: Feb. 28, 2024

Language: Английский

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Long-Term Dynamics of Atmospheric Sulfur Dioxide in Urban and Rural Regions of China: Urbanization and Policy Impacts

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 391 - 391

Published: Jan. 18, 2024

High levels of sulfur dioxide (SO2) due to human activities pose a serious air pollution issue in China, especially urban agglomerations. However, limited research has investigated the impact anthropogenic emissions on higher SO2 concentrations regions compared rural areas China. Here, we analyzed trends from 1980 2021 China using Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) dataset. column Copernicus Atmosphere Monitoring Service (CAMS) Ozone Instrument (OMI) during years 2007–2021 were also examined validation comparison purposes. Eight representative areas, including four (Pearl River Delta [PRD], Beijing-Tianjin-Hebei [BTH], Yangtze [YRD], Sichuan Basin [SCB]) (Northeast Region [NER], Mongolian [MR], West [WR], Tibetan Plateau [TR]) selected analysis. Overall, significant but fluctuating increase over was observed 1980–2021. During 1980–1997 2000–2010, there an concentration, while 1997–2000 2010–2021, decreasing trend observed. The average concentration approximately 16 times than background. We found that dynamics highly associated with expansion population density, gross domestic product. Nonetheless, since 2007, have exhibited downward trend, which is mainly attributed policies implemented by Chinese government. Our findings highlight need further studies regional climate change

Language: Английский

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Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data

Environmental Pollution, Journal Year: 2024, Volume and Issue: 348, P. 123838 - 123838

Published: March 21, 2024

Language: Английский

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Quantification of anthropogenic aerosol and radiative properties over Bangladesh

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: 37, P. 101511 - 101511

Published: Jan. 1, 2025

Language: Английский

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AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(9), P. 4665 - 4702

Published: May 6, 2025

Abstract. Aerosol particles are an important part of the Earth climate system, and their concentrations spatially temporally heterogeneous, as well being variable in size composition. Particles can interact with incoming solar radiation outgoing longwave radiation, change cloud properties, affect photochemistry, impact surface air quality, albedo snow ice, modulate carbon dioxide uptake by land ocean. High particulate matter at represent public health hazard. There substantial data sets describing aerosol literature or databases, but they have not been compiled for easy use quality modeling community. Here, we present a new compilation PM2.5 PM10 observations, including measurements composition, focusing on spatial variability across different observational stations. Climate modelers constantly looking multiple independent lines evidence to verify models, situ concentration measurements, taken level human settlement, valuable source information about aerosols impacts complementarily column averages integrals often retrieved from satellites. We demonstrate method comparing outputs global models that basis projections future large-scale transport patterns influence local quality. Annual trends seasonal cycles discussed briefly included compilation. Overall, most planet even fraction does sufficient observations – and, especially, particle composition characterize understand current distribution particles. without ammonium nitrate omit ∼ 10 % globally averaged both fractions, up 50 some regions. In these regions, model forcing likely be incorrect do include short-lived forcers.

Language: Английский

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Validation, analysis, and comparison of MISR V23 aerosol optical depth products with MODIS and AERONET observations

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 856, P. 159117 - 159117

Published: Sept. 29, 2022

Language: Английский

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Aerosol radiative forcing of forest fires unprecedented in South Korea (2022) captured by Korean geostationary satellites, GK-2A AMI and GK-2B GEMS

Environmental Pollution, Journal Year: 2024, Volume and Issue: 346, P. 123464 - 123464

Published: Jan. 30, 2024

The worst forest fires in Korean history broke out on March 4, 2022 and lasted for ten days. In order to monitor the catastrophic fires, Geostationary Korea Multi-Purpose Satellite (GK)-2 A Advanced Meteorological Imager (AMI) GK-2B Environment Monitoring Spectrometer (GEMS) data were used this study. Aerosol optical depth (AOD) irretrievable biomass-burning aerosols produced with water vapor classified as could-contaminated, was reconstructed by ultraviolet aerosol index (UVAI). Afterward, radiative forcing (ARF) at TOA finally estimated correlation of AOD surface albedo ARF. Most drifted toward East Sea prevailing westerly winds, caused a cooling effect atmosphere maximum daily average −69.28 Wm-2. Furthermore, fire-prone conditions unprecedented discussed detail following aspects; 1) most severe drought "triple-dip" La Niña; 2) pressure patterns topographical features that generate strong winds; 3) coniferous forests prone fires; 4) increased human activity nationwide COVID-19 vaccination. This study demonstrated rapid effective ARF estimation based satellite remote sensing can contribute better understanding Earth's radiation budget global will be more frequent, intense, longer-lasting due human-caused climate environment changes.

Language: Английский

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An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data

Atmospheric Environment, Journal Year: 2021, Volume and Issue: 268, P. 118827 - 118827

Published: Nov. 2, 2021

Rapid urbanization and industrialization in China had led to increased pollutants emission. PM10 is one of the main components air pollutants, which significantly impacts human health, environment, regional or global climate. In this study, a new machine learning deep forest (DF) model was used construct aerosol optical depth (AOD) near-ground concentration (AOD-PM10) model. The DF combines advantages neural networks tree models, can provide interpretability. Combined with Himawari-8 AOD, meteorological, auxiliary factors, hourly (spatial resolution: 0.05 × 0.05°) obtained. results show that AOD has highest contribution importance features AOD-PM10 model, accounting for approximately 13.5%, contributions boundary layer height, temperature, relative humidity were 11%, 8.6%, 7%, respectively. A 10-fold cross-validation evaluate performance cross validation from 09:00 16:00 (Beijing time) R2 range 0.82–0.88, root mean square error absolute 18.55–23.12 μg/m³ 11.54–16.82 μg/m³, values daily, monthly, seasonal, annual average estimated by 0.87, 0.91, 0.94, areas high concentrations are mainly northern China, especially North Plain, peak value daily reach 91 μg/m³; Intraday variation southern ranges 67 72 μg/m³. large-scale dust weather process analyzed. Based on long-range transport Northern 25.6% 38.1%, measured station indicated good consistency.

Language: Английский

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Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(16), P. 3116 - 3116

Published: Aug. 6, 2021

Long-term (2000–2019) assessment of aerosol loads and dominant types at spatiotemporal scales using multi-source datasets can provide a strong impetus to the investigation targeted prevention control atmospheric pollution in densely populated regions with frequent anthropogenic activities heavy emissions. This study uses datasets, including Modern-Era Retrospective Analysis for Research Applications version 2 (MERRA-2), Moderate Resolution Imaging Spectroradiometer (MODIS), Aerosol Robotic Network (AERONET), conduct long-term variation load, high load frequency, over Asia. The results indicate that regional type information adequate spatial resolution be combined optical depth (AOD) values frequency characterization explore key contributors air pollution. During period, North China Plain, Central China, Yangtze River Delta, Red Sichuan Basin, Pearl Delta exhibited an increasing trend from 2000–2009 due sharp rise emissions economic development declining 2010–2019 under stricter energy conservation controls reductions. growth urban/industrial (UI) biomass burning (BB) hindered improvement environment. Therefore, future mitigation efforts, focus should on UI-type BB-type Indus–Ganges Deccan Plateau, Eastern Ghats show continuously trend; however, rate last decade was lower than first decade, which mainly decrease proportion mixed aerosols.

Language: Английский

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Characteristics of the Spatio-Temporal Dynamics of Aerosols in Central Asia and Their Influencing Factors

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(11), P. 2684 - 2684

Published: June 3, 2022

Aerosols are an important component of the atmospheric system. Long time-series observations for aerosols essential examining global climate change and ecological environment. Based on Google Earth Engine MODIS MCD19A2 data, we monitored spatio-temporal dynamic characteristics aerosol optical depth (AOD) in Central Asia from 2001 to 2020. The effects six environmental factors AOD distribution were explored using a geographic detector model analysed combination with land-use/land-cover (LUCC) desertification different periods. results showed that average multi-year was 0.1442, insignificant interannual variations. high-value areas mainly distributed Aral Sea surrounding Tarim Basin Xinjiang, notable seasonal evaluation influencing relative humidity precipitation had large effect spatial AOD. LUCC directly affected contributions Desertification land provides rich dust sources, which main sources Asia, thus exacerbating pollution. This study investigated temporal providing theoretical basis prevention control air

Language: Английский

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