Tropospheric ozone (O 3) is one of the most concernedair pollutants dueto its widespread
impacts on land vegetated ecosystems and human health. Ozone is also the third …

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 …

Ozone (O 3) pollution in the atmosphere is getting worse in many cities. In order to improve
the accuracy of O 3 prediction and obtain the spatial distribution of O 3 concentration over a …

Abstract In East Asia, air quality has been recognized as an important public health problem.
In particular, the surface concentrations of air pollutants are closely related to human life …

Exposure to fine particulate matter (PM2. 5) has become a major global health concern.
Although modeling exposure to PM2. 5 has been examined in China, accurate long-term …

Precise and efficient ozone (O 3) concentration prediction is crucial for weather monitoring
and environmental policymaking due to the harmful effects of high O 3 pollution levels on …

Evaluating ozone levels at high resolutions and accuracy is crucial for understanding the
spatiotemporal characteristics of ozone distribution and assessing ozone exposure levels in …

Ambient ozone (O 3) concentrations have shown an upward trend in China and its health
hazards have also been recognized in recent years. High-resolution exposure data based …

Soil thermal conductivity (λ) is an important thermal property that is crucial for surface energy
balance and water balance studies. 1602 measured soil thermal conductivity values …

3D-grid-based chemical transport models, such as the Community Multiscale Air Quality
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …