A novel multi-factor & multi-scale method for PM2.5 concentration forecasting

Wenyan Yuan; Kaiqi Wang; Xin Bo; Ling Tang; Junjie Wu

doi:10.1016/j.envpol.2019.113187

A novel multi-factor & multi-scale method for PM_2.5 concentration forecasting

Wenyan Yuan
, Kaiqi Wang
, Xin Bo
, Ling Tang^*
, Junjie Wu

^*Corresponding author for this work

School of Economics and Management

Beijing University of Chemical Technology
Ministry of Ecology and Environment
Beihang University

Research output: Contribution to journal › Article › peer-review

55 Scopus citations

Abstract

By carefully analysing the multi-scale relationship between PM_2.5 and related factors, the novel multi-factor & multi-scale method largely improves the prediction accuracy for PM_2.5.

Original language	English
Article number	113187
Journal	Environmental Pollution
Volume	255
DOIs	https://doi.org/10.1016/j.envpol.2019.113187
State	Published - Dec 2019

Keywords

Air quality forecast
Big data
Meteorological factors
Multi-scale analysis
Multivariate empirical mode decomposition

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10.1016/j.envpol.2019.113187

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@article{25f7920a51b8409ebbcb3b5f4bd7051d,

title = "A novel multi-factor \& multi-scale method for PM2.5 concentration forecasting",

abstract = "By carefully analysing the multi-scale relationship between PM2.5 and related factors, the novel multi-factor \& multi-scale method largely improves the prediction accuracy for PM2.5.",

keywords = "Air quality forecast, Big data, Meteorological factors, Multi-scale analysis, Multivariate empirical mode decomposition",

author = "Wenyan Yuan and Kaiqi Wang and Xin Bo and Ling Tang and Junjie Wu",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

month = dec,

doi = "10.1016/j.envpol.2019.113187",

language = "英语",

volume = "255",

journal = "Environmental Pollution",

issn = "0269-7491",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - A novel multi-factor & multi-scale method for PM2.5 concentration forecasting

AU - Yuan, Wenyan

AU - Wang, Kaiqi

AU - Bo, Xin

AU - Tang, Ling

AU - Wu, Junjie

PY - 2019/12

Y1 - 2019/12

N2 - By carefully analysing the multi-scale relationship between PM2.5 and related factors, the novel multi-factor & multi-scale method largely improves the prediction accuracy for PM2.5.

AB - By carefully analysing the multi-scale relationship between PM2.5 and related factors, the novel multi-factor & multi-scale method largely improves the prediction accuracy for PM2.5.

KW - Air quality forecast

KW - Big data

KW - Meteorological factors

KW - Multi-scale analysis

KW - Multivariate empirical mode decomposition

UR - https://www.scopus.com/pages/publications/85072011119

U2 - 10.1016/j.envpol.2019.113187

DO - 10.1016/j.envpol.2019.113187

M3 - 文章

C2 - 31522003

AN - SCOPUS:85072011119

SN - 0269-7491

VL - 255

JO - Environmental Pollution

JF - Environmental Pollution

M1 - 113187

ER -

A novel multi-factor & multi-scale method for PM_2.5 concentration forecasting

Abstract

Keywords

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