A machine learning approach to modelling the spatial variations in the daily fine particulate matter (PM2.5) and nitrogen dioxide (NO2) of Shanghai, China

Song, XY; Gao, Y; Peng, YB; Huang, S; Liu, C; Peng, ZR

Liu, C (corresponding author), Tongji Univ, 1239 Siping Rd, Shanghai 200092, Peoples R China.

ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2021; 48 (3): 467

Abstract

It is challenging to forecast high-resolution spatial-temporal patterns of intra-urban air pollution and identify impacting factors at the regional sc......

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