[HTML][HTML] Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions

K Mehmood, SA Anees, A Rehman, NU Rehman… - Trees, Forests and …, 2024 - Elsevier
Elevation gradients significantly influence net primary productivity (NPP), but the relationship
between elevation, climate variables, and vegetation productivity remains underexplored …

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 …

Deep optimization of water quality index and positive matrix factorization models for water quality evaluation and pollution source apportionment using a random forest …

H Zhang, X Ren, S Chen, G Xie, Y Hu, D Gao… - Environmental …, 2024 - Elsevier
Effective evaluation of water quality and accurate quantification of pollution sources are
essential for the sustainable use of water resources. Although water quality index (WQI) and …

Modeling spatial–temporal variability of PM2. 5 concentrations in Belt and Road Initiative (BRI) region via functional adaptive density approach

MA Hael - Environmental Science and Pollution Research, 2023 - Springer
The rapid development of the Belt and Road Initiative (BRI) has led to severe air pollution
dominated by PM2. 5 concentrations which can cause a profound negative impact on …

Deriving PM2.5 from satellite observations with spatiotemporally weighted tree-based algorithms: enhancing modeling accuracy and interpretability

T Li, Y Wang, J Wu - npj Climate and Atmospheric Science, 2024 - nature.com
Tree-based machine learning algorithms, such as random forest, have emerged as effective
tools for estimating fine particulate matter (PM2. 5) from satellite observations. However, they …

[HTML][HTML] Identifying the spatiotemporal dynamics of PM2. 5 concentration and its implications for national sustainable development experimental zone of China

XX Wang, L Qu, X Zhang, Y Liang - Environmental and Sustainability …, 2024 - Elsevier
The accelerated pace of urbanization and industrialization in China has given rise to air
pollution in the form of PM 2.5. This pollution poses significant threats to the atmospheric …

Estimation of hourly one square kilometer fine particulate matter concentration over Thailand using aerosol optical depth

P Punpukdee, E Winijkul, PP Kyaw… - Frontiers in …, 2024 - frontiersin.org
In the recent years, concentration of fine particulate matter that are 2.5 microns or less in
diameter (PM2. 5) in Thailand has consistently exceeded the national ambient air quality …

Estimating visibility and understanding factors influencing its variations at Bangkok airport using machine learning and a game theory–based approach

N Aman, S Panyametheekul, S Sudhibrabha… - … Science and Pollution …, 2024 - Springer
In this study, six individual machine learning (ML) models and a stacked ensemble model
(SEM) were used for daytime visibility estimation at Bangkok airport during the dry season …

Estimating Ground-level Hourly PM2.5 Concentrations in Thailand using Satellite Data: A Log-linear Model with Sum Contrast Analysis

S Buya, H Gokon, HC Dam… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This study introduces a novel method for estimating hourly concentrations of particulate
matter 2.5 μm (PM 2.5) using satellite data. The pollution control department of Thailand …

A continuous 2011–2022 record of fine particulate matter (PM2.5) in East Asia at daily 2-km resolution from geostationary satellite observations: population exposure …

DC Pendergrass, DJ Jacob, YJ Oak… - Earth System …, 2024 - essd.copernicus.org
We construct a continuous 24-h daily fine particulate matter (PM 2.5) record with 2× 2 km 2
resolution over eastern China, South Korea, and Japan for 2011–2022 by applying a …