Global validation and hybrid calibration of CAMS and MERRA-2 PM2. 5 reanalysis products based on OpenAQ platform

C Jin, Y Wang, T Li, Q Yuan - Atmospheric Environment, 2022 - Elsevier
It is highly valuable to obtain high-quality PM 2.5 concentration worldwide for continuous
monitoring of global air pollution. Recently, global reanalysis products of PM 2.5 have come …

Spatiotemporal analysis of fine particulate matter for India (1980–2021) from MERRA-2 using ensemble machine learning

V Kumar, V Malyan, M Sahu, B Biswal, M Pawar… - Atmospheric Pollution …, 2023 - Elsevier
Particle exposure affects more humans globally than any other air pollutant. However, due to
expensive instruments and infrastructural deficiency, a high spatiotemporal network of …

[HTML][HTML] Mapping urban green spaces at the metropolitan level using very high resolution satellite imagery and deep learning techniques for semantic segmentation

RE Huerta, FD Yépez, DF Lozano-García… - Remote Sensing, 2021 - mdpi.com
Urban green spaces (UGSs) provide essential environmental services for the well-being of
ecosystems and society. Due to the constant environmental, social, and economic …

Estimate Ground-based PM2.5 concentrations with Merra-2 aerosol components in Tehran, Iran: Merra-2 PM2.5 concentrations verification and meteorological …

F Borhani, AH Ehsani, M Shafiepour Motlagh… - Environment …, 2024 - Springer
The effect of fine particulates matter (PM2. 5) as the main source of air pollution on human
health and the environment is one of the major problems in Tehran. Due to the limited …

Spatiotemporal empirical analysis of particulate matter PM2. 5 pollution and air quality index (AQI) trends in Africa using MERRA-2 reanalysis datasets (1980–2021)

YO Ouma, A Keitsile, L Lottering, B Nkwae… - Science of The Total …, 2024 - Elsevier
In this study, the spatial-temporal trends of PM 2.5 pollution were analyzed for subregions in
Africa and the entire continent from 1980 to 2021. The distributions and trends of PM 2.5 …

Data integration for ML-CNPM 2.5: A public sample dataset based on machine learning models and remote sensing technology applied for estimating ground-level …

Y Fan, L Sun, X Liu - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Ambient fine particulate matter (PM2. 5) has significant adverse effects on human health,
thereby urgent hunger for accurate monitoring of ground-level PM2. 5, especially its space …

Improving the quantification of fine particulates (PM2. 5) concentrations in Malaysia using simplified and computationally efficient models

NAFK Zaman, KD Kanniah, DG Kaskaoutis… - Journal of Cleaner …, 2024 - Elsevier
Air pollution assessment in urban and rural areas is really challenging due to high spatio-
temporal variability of aerosols and pollutants and the uncertainties in measurements and …

[HTML][HTML] Mapping air quality trends across 336 cities in India: Insights from three decades of monitoring (1987–2019)

G Sharma, M Gupta, P Gargava, SH Kota - Environment International, 2024 - Elsevier
Over a span of 34 years (1987–2019), an in-depth analysis of PM 10, SO 2, and NO 2 trends
across India was conducted using data from the National Ambient Air Quality Monitoring …

Decadal changes in PM2. 5-related health impacts in China from 1990 to 2019 and implications for current and future emission controls

S Yin - Science of the Total Environment, 2022 - Elsevier
In China, the rapid development of the economy and implementation of multiple emission
control policies in recent decades have been accompanied by dramatic changes in air …

The black carbon dispersion in the Southern Hemisphere and its transport and fate to Antarctica, an Anthropocene evidence for climate change policies

E Pino-Cortés, LA Díaz-Robles, F Cubillos… - Science of the Total …, 2021 - Elsevier
Black carbon (BC) has been measured in Antarctica's air, and its global warming effect can
potentially speed up the ice melting in the most solid water reservoir of the planet. However …