Air pollution estimation under air stagnation -- a case study of Beijing
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Publication:6626613
DOI10.1002/ENV.2819zbMATH Open1548.62537MaRDI QIDQ6626613
Le Bao, Ying Zhang, Song Xi Chen
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
- Estimating the dimension of a model
- Local Prediction of a Spatio-Temporal Process with an Application to Wet Sulfate Deposition
- The central role of the propensity score in observational studies for causal effects
- Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
- On the change of support problem for spatio-temporal data
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Space-time analysis using a general product-sum model.
- A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing
- Effects of Corona virus disease-19 control measures on air quality in North China
- Managing air quality: predicting exceedances of legal limits for PM10 and O\(_3\) concentration using machine learning methods
- A spatiotemporal analysis of NO\(_2\) concentrations during the Italian 2020 COVID-19 lockdown
- Nonlinear prediction of functional time series
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