A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - Science of the Total Environment, 2018 - Elsevier
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …
被引用次数：108 相关文章

[引用][C] A hybrid kriging/land-use regression model to assess PM 2.5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - Science of the Total …, 2018 - ui.adsabs.harvard.edu
A hybrid kriging/land-use regression model to assess PM 2.5 spatial-temporal variability -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS A hybrid …

A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SC Lung - Science of the Total Environment, 2018 - hero.epa.gov
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …

[引用][C] A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - Science of The Total Environment, 2018 - cir.nii.ac.jp
A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …

A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability.

CD Wu, YT Zeng, SC Lung - The Science of the Total Environment, 2018 - europepmc.org
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …

A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - Science of the Total Environment, 2018 - inis.iaea.org
[en] Highlights:• PM 2.5 variability was assessed by the hybrid kriging/LUR model• High
explanatory power (R 2> 0.85) was confirmed regardless of the model temporal resolutions.• …

[引用][C] A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - … of The Total Environment 645, 1456 …, 2018 - ir.sinica.edu.tw
Issue Date: 2018-12 Relation: Science of The Total Environment 645, 1456-1464 URI:
http://ir. sinica. edu. tw/handle/201000000A/73940 ISSN: http://gateway. isiknowledge …

A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

C Da Wu, YT Zeng, SCC Lung - Science of the Total …, 2018 - researchoutput.ncku.edu.tw
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …

A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - The Science of the total …, 2018 - pubmed.ncbi.nlm.nih.gov
Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …

[引用][C] A hybrid kriging/land-use regression model to assess PM2. 5 spatial-temporal variability

CD Wu, YT Zeng, SCC Lung - 2018