Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means

Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means

Nitrogen dioxide (NO2) is one of the most important atmospheric pollutants and the precursors of acid rain, tropospheric ozone, and atmospheric aerosols. However, due to the poor quality of source data and the computing power of the models, current ground-level NO2 concentration data lack either hig...

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Bibliographic Details
Main Authors: Xinyu Dou, Cuijuan Liao, Hengqi Wang, Ying Huang, Ying Tu, Xiaomeng Huang, Yiran Peng, Biqing Zhu, Jianguang Tan, Zhu Deng, Nana Wu, Taochun Sun, Piyu Ke, Zhu Liu
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Advances in Applied Energy
Subjects:
Ground-level NO2 concentration
China
Random Forest model
Multi-source big data
Socio-economic parameters
Online Access:http://www.sciencedirect.com/science/article/pii/S266679242100010X

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http://www.sciencedirect.com/science/article/pii/S266679242100010X

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