2022
DOI: 10.1016/j.chemosphere.2022.134758
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A mixed spatial prediction model in estimating spatiotemporal variations in benzene concentrations in Taiwan

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Cited by 12 publications
(3 citation statements)
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“…The 10‐fold cross validation R 2 s of prediction models for PM 2.5 , O 3 , NO 2 , and benzene were approximately 0.87, 0.85, 0.70, and 0.89, respectively. Detailed information on the collected air pollutant data, geospatial/land‐use datasets, and prediction model procedures is provided elsewhere 19 …”
Section: Methodsmentioning
confidence: 99%
“…The 10‐fold cross validation R 2 s of prediction models for PM 2.5 , O 3 , NO 2 , and benzene were approximately 0.87, 0.85, 0.70, and 0.89, respectively. Detailed information on the collected air pollutant data, geospatial/land‐use datasets, and prediction model procedures is provided elsewhere 19 …”
Section: Methodsmentioning
confidence: 99%
“…The detailed information on the collected air pollutant data, geospatial/land-use datasets, and prediction model procedures has been presented in previous studies. [18][19][20]…”
Section: Air Pollution Exposurementioning
confidence: 99%
“…Detailed information on the collected air pollutant data, geospatial/land use datasets, and prediction model procedures was provided elsewhere. [18][19][20]…”
Section: Air Pollution Exposurementioning
confidence: 99%