Sensitivity Analysis for Predicting Sub-Micron Aerosol Concentrations Based on Meteorological Parameters

Sub-micron aerosols are a vital air pollutant to be measured because they pose health effects. These particles are quantified as particle number concentration (PN). However, PN measurements are not always available in air quality measurement stations, leading to data scarcity. In order to compensate...

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Detalhes bibliográficos
Main Authors: Martha A. Zaidan, Ola Surakhi, Pak Lun Fung, Tareq Hussein
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-05-01
Colecção:Sensors
Assuntos:
particle number concentration
modeling
sensitivity analysis
artificial neural networks
feed-forward neural network
time-delay neural network
Acesso em linha:https://www.mdpi.com/1424-8220/20/10/2876
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