[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 …
Air pollution analysis in Northwestern South America: A new Lagrangian framework
A Casallas, A Cabrera, MA Guevara-Luna… - Science of The Total …, 2024 - Elsevier
This study examines the spatiotemporal variations of PM 2.5, PM 10, SO 2, O 3, NO, and NO
2 concentrations in Northwestern South America (NWSA). We assess the efficacy of existing …
2 concentrations in Northwestern South America (NWSA). We assess the efficacy of existing …
Spatio-temporal analysis of PM2. 5 and policies in Northwestern South America
A Casallas, MP Castillo-Camacho… - Science of The Total …, 2022 - Elsevier
This paper analyzes the spatio-temporal variations, and exceedances of the PM 2.5
concentrations in Northwestern South America at different scales to assess the implemented …
concentrations in Northwestern South America at different scales to assess the implemented …
A deep learning approach to model daily particular matter of Ankara: Key features and forecasting
Y Akbal, KD Ünlü - International Journal of Environmental Science and …, 2022 - Springer
In this study, three different goals are pursued. Firstly, it is aimed to model particulate matter
(PM) of Ankara, the capital of Turkey, by utilizing hybrid deep learning methodology. To do …
(PM) of Ankara, the capital of Turkey, by utilizing hybrid deep learning methodology. To do …
Understanding the Disparities of PM2. 5 Air Pollution in Urban Areas via Deep Support Vector Regression
In densely populated urban areas, PM2. 5 has a direct impact on the health and quality of
residents' life. Thus, understanding the disparities of PM2. 5 is crucial for ensuring urban …
residents' life. Thus, understanding the disparities of PM2. 5 is crucial for ensuring urban …
Design of a forest fire early alert system through a deep 3D-CNN structure and a WRF-CNN bias correction
A Casallas, C Jiménez-Saenz, V Torres… - Sensors, 2022 - mdpi.com
Throughout the years, wildfires have negatively impacted ecological systems and urban
areas. Hence, reinforcing territorial risk management strategies against wildfires is essential …
areas. Hence, reinforcing territorial risk management strategies against wildfires is essential …
Spatiotemporal estimation of the PM2. 5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning …
P Zhang, L Yang, W Ma, N Wang, F Wen, Q Liu - Environmental Research, 2022 - Elsevier
PM 2.5 pollution endangers human health and urban sustainable development. Land use
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction
A Yafouz, N AlDahoul, AH Birima, AN Ahmed… - Alexandria Engineering …, 2022 - Elsevier
Ozone (O3) is one of the common air pollutants. An increase in the ozone concentration can
adversely affect public health and the environment such as vegetation and crops. Therefore …
adversely affect public health and the environment such as vegetation and crops. Therefore …
Design of an early alert system for PM2. 5 through a stochastic method and machine learning models
Abstract In Latin America, the levels of pollution have risen considerably in the last few
years. 2019, for example, had one of the largest numbers of air quality alerts. These alerts …
years. 2019, for example, had one of the largest numbers of air quality alerts. These alerts …
Long short-term memory artificial neural network approach to forecast meteorology and PM2.5 local variables in Bogotá, Colombia
In places with complex topography, the reproduction of atmospheric dynamics is challenging
and resource demanding. Recently, machine learning has been successfully implemented …
and resource demanding. Recently, machine learning has been successfully implemented …