AIMC Topic: Nitrogen Dioxide
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Improved surface NO Retrieval: Double-layer machine learning model construction and spatio-temporal characterization analysis in China (2018-2023).
Journal of environmental management
Jun 1, 2025
As an important atmospheric pollutant causing serious harm to human health and the natural environment, monitoring of surface NO (SNO) level is of critical importance. However, the current SNO retrieval models neglect to consider the influence of NO ...
Traffic-related air pollution backcasting using convolutional neural network and long short-term memory approach.
The Science of the total environment
May 10, 2025
Air pollution backcasting, especially nitrogen dioxide (NO), is crucial in epidemiological studies, thus enabling the reconstruction of historical exposure levels for assessing long-term health effects. Changes in NO concentrations in urban areas are...
Fate and speciation of NO in an arid climatic region: factors assessment.
Environmental monitoring and assessment
May 8, 2025
NO and NO continuously recycle in the lower atmosphere through a complex series of reactions involving NO, VOCs, NO, and O. Therefore, the NO/NO ratio can be utilized in dispersion models as an important substitute to understand the fate of NO and NO...
A causal machine-learning framework for studying policy impact on air pollution: a case study in COVID-19 lockdowns.
American journal of epidemiology
Jan 8, 2025
When studying the impact of policy interventions or natural experiments on air pollution, such as new environmental policies or the opening or closing of an industrial facility, careful statistical analysis is needed to separate causal changes from o...
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