A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism-Reference-Cited by-同舟云学术

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A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism

Published:2024-10 Issue: Volume:335 Page:120730
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Zhu Jiaming^ORCID,Niu Lili^ORCID,Zheng Peng,Chen Huayou,Liu Jinpei^ORCID

Funder

Key Research and Development Program of Zhejiang Province

Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province

National College Students Innovation and Entrepreneurship Training Program

Anhui Provincial Natural Science Foundation

Anhui Provincial Department of Science and Technology

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference88 articles.

1. Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF–Chem CO tracer model - ScienceDirect;A;Atmos. Environ.,2011

2. The co-development of HedgeDATE, a public engagement and decision support tool for air pollution exposure mitigation by green infrastructure - ScienceDirect;A;Sustainable Cities Soc.,2021

3. Addressing global mortality from ambient PM2. 5;Apte;Environ. Sci. Technol.,2015

4. Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions;Bai;Atmos. Pollut. Res.,2016

5. Hourly PM2. 5 concentration forecast using stacked autoencoder model with emphasis on seasonality;Bai;J. Clean. Prod.,2019

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