A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
[HTML][HTML] A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective …
X Ma, B Zou, J Deng, J Gao, I Longley, S Xiao… - Environment …, 2024 - Elsevier
Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
studies to estimate humans' exposure to air pollution within urban areas. However, the early …
[HTML][HTML] An ensemble-based model of PM2. 5 concentration across the contiguous United States with high spatiotemporal resolution
Various approaches have been proposed to model PM 2.5 in the recent decade, with
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
satellite-derived aerosol optical depth, land-use variables, chemical transport model …
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale …
This work examined the thermal performance of a small-scale solar organic Rankine cycle
system, in which a flat plate solar collector was employed to supply heat to the organic …
system, in which a flat plate solar collector was employed to supply heat to the organic …
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition …
The thermal performance of a flat plate solar collector operating under thermosyphon
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2. 5)
A Suleiman, MR Tight, AD Quinn - Atmospheric Pollution Research, 2019 - Elsevier
This study presents a new method for evaluating the effectiveness of roadside PM 10 and
PM 2.5 reduction scenarios using Machine Learning (ML) based models. The ML methods …
PM 2.5 reduction scenarios using Machine Learning (ML) based models. The ML methods …
[HTML][HTML] Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives
Mapping the mass concentration of near-surface atmospheric particulate matter (PM) using
satellite observations has become a popular research niche, leading to the development of …
satellite observations has become a popular research niche, leading to the development of …
Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India
Rice is generally grown under completely flooded condition and providing food for more
than half of the world's population. Any changes in weather parameters might affect the rice …
than half of the world's population. Any changes in weather parameters might affect the rice …
Resilience to Air Pollution: A Novel Approach for Detecting and Predicting Aerosol Atmospheric Rivers within Earth System Boundaries
The study explores extreme aerosol transport (EAT) events using atmospheric river (ARs)
dynamics to identify aerosol atmospheric rivers (AARs). This provides insight into their …
dynamics to identify aerosol atmospheric rivers (AARs). This provides insight into their …
Evaluating the meteorological normalized PM2. 5 trend (2014–2019) in the “2+ 26” region of China using an ensemble learning technique
L Qu, S Liu, L Ma, Z Zhang, J Du, Y Zhou, F Meng - Environmental Pollution, 2020 - Elsevier
In recent years, implementation of aggressive and strict clean air policies has resulted in
significant decline in observed PM 2.5 concentration in the Beijing–Tianjin–Hebei (BTH) …
significant decline in observed PM 2.5 concentration in the Beijing–Tianjin–Hebei (BTH) …