文献
J-GLOBAL ID:201802245259732475
整理番号:18A1594768
高密度都市コンテクストにおけるマイクロスケール地理的予測器による土地利用回帰を用いた衛星エアロゾル光学深度-PM2.5相関の改善【JST・京大機械翻訳】
Improving satellite aerosol optical Depth-PM2.5 correlations using land use regression with microscale geographic predictors in a high-density urban context
著者 (7件):
Shi Yuan
(School of Architecture, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China)
,
Ho Hung Chak
(Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)
,
Ho Hung Chak
(Research Institute for Sustainable Urban Development, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)
,
Xu Yong
(Lyles School of Civil Engineering, Purdue University, 550 W Stadium Ave, West Lafayette, IN, 47907, USA)
,
Ng Edward
(School of Architecture, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China)
,
Ng Edward
(Institute of Future Cities (IOFC), The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China)
,
Ng Edward
(The Institute of Environment, Energy and Sustainability (IEES), The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China)
資料名:
Atmospheric Environment
(Atmospheric Environment)
巻:
190
ページ:
23-34
発行年:
2018年
JST資料番号:
C0382D
ISSN:
1352-2310
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)