[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 …
Key Themes, Trends, and Drivers of Mobile Ambient Air Quality Monitoring: A Systematic Review and Meta-Analysis
Mobile ambient air quality monitoring is rapidly changing the current paradigm of air quality
monitoring and growing as an important tool to address air quality and climate data gaps …
monitoring and growing as an important tool to address air quality and climate data gaps …
Global food stability and its socio‐economic determinants towards sustainable development goal 2 (Zero Hunger)
Food security is guaranteed only when unexpected shocks, eg, epidemics, economic crises,
and extreme climates can be well responded to the stable food supply. Food stability, which …
and extreme climates can be well responded to the stable food supply. Food stability, which …
[HTML][HTML] Air pollution monitoring via wireless sensor networks: The investigation and correction of the aging behavior of electrochemical gaseous pollutant sensors
The continuously growing human activity in large and densely populated cities pollutes air
and consequently puts public health in danger. This is why air quality monitoring is …
and consequently puts public health in danger. This is why air quality monitoring is …
A deep spatio-temporal learning network for continuous citywide air quality forecast based on dense monitoring data
R Guo, Q Zhang, X Yu, Y Qi, B Zhao - Journal of Cleaner Production, 2023 - Elsevier
As urban air pollution becomes a severe environmental and societal issue globally, there is
an increasing need on making air quality forecasts to prevent health and capital loss …
an increasing need on making air quality forecasts to prevent health and capital loss …
Imputing environmental impact missing data of the industrial sector for Chinese cities: A machine learning approach
Data are the lifeblood of evidence-based decision-making and the raw material for
accountability. Collecting data to regularly evaluate industrial consumption and pollution at …
accountability. Collecting data to regularly evaluate industrial consumption and pollution at …
Identifying patterns and sources of fine and ultrafine particulate matter in London using mobile measurements of lung-deposited surface area
We performed more than a year of mobile, 1 Hz measurements of lung-deposited surface
area (LDSA, the surface area of 20–400 nm diameter particles, deposited in alveolar regions …
area (LDSA, the surface area of 20–400 nm diameter particles, deposited in alveolar regions …
Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review
Abstract According to the World Health Organization (WHO), air pollution kills seven million
people every year. Outdoor air pollution is a major environmental health problem affecting …
people every year. Outdoor air pollution is a major environmental health problem affecting …
[HTML][HTML] High-resolution urban air quality mapping for multiple pollutants based on dense monitoring data and machine learning
R Guo, Y Qi, B Zhao, Z Pei, F Wen, S Wu… - International journal of …, 2022 - mdpi.com
Spatially explicit urban air quality information is important for urban fine-management and
public life. However, existing air quality measurement methods still have some limitations on …
public life. However, existing air quality measurement methods still have some limitations on …
Spatial and temporal urban air pollution patterns based on limited data of monitoring stations
Urban air pollution is one of the serious environmental problems in the development of high-
density cities, especially for traffic-related pollution. Effective urban environmental …
density cities, especially for traffic-related pollution. Effective urban environmental …