Prediction of PM2.5 concentration based on the similarity in air quality monitoring network-Reference-Cited by-同舟云学术

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Prediction of PM2.5 concentration based on the similarity in air quality monitoring network

Published:2018-06 Issue: Volume:137 Page:11-17
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

He Hong-di^ORCID,Li Min,Wang Wei-li,Wang Zhan-yong^ORCID,Xue Yu

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Committee

Shanghai Pujiang Program

Science and Technology Project of Guangzhou, China

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference32 articles.

1. PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization;Antanasijevic;Sci. Total Environ.,2013

2. Design of a sensitive air quality monitoring network using an integrated optimization approach;Benis;Stoch. Environ. Res. Risk Assess.,2016

3. A clustering algorithm for sample data based on environmental pollution characteristics;Chen;Atmos. Environ.,2015

4. Neural network model for the prediction of PM10 daily concentrations in two sites in the Western Mediterranean;De Gennaro;Sci. Total Environ.,2013

5. Real time air quality forecasting using integrated parametric and non-parametric regression techniques;Donnelly;Atmos. Environ.,2015

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