Using Ensembles of Artificial Neural Networks to Improve PM<sub>10</sub> Forecasts

Using Ensembles of Artificial Neural Networks to Improve PM<sub>10</sub> Forecasts

High concentrations of atmospheric pollutants provoke negative effects that range from respiratory problems in humans to altered growth in crops due to the reduction of solar radiation. In this context, the study of suspended particulate matter (PM) in the atmosphere is especially relevant. Several...

Full description

Bibliographic Details
Main Authors:	R. Souza, G. Coelho, A.E. Silva, S.A. Pozza
Format:	Article
Language:	English
Published:	AIDIC Servizi S.r.l. 2015-05-01
Series:	Chemical Engineering Transactions
Online Access:	https://www.cetjournal.it/index.php/cet/article/view/5128

Similar Items

Forecasting PM<sub>10</sub> in the Bay of Algeciras Based on Regression Models
by: José Carlos Palomares-Salas, et al.
Published: (2019-02-01)

Assimilation of ground versus lidar observations for PM<sub>10</sub> forecasting
by: M. Bocquet, et al.
Published: (2013-01-01)

GIS ASSESSMENT OF THE PM<sub>10</sub>, PM<sub>2.5</sub> AND PM<sub>1.0</sub> CONCENTRATIONS IN URBAN AREA OF TEHRAN IN WARM AND COLD SEASONS
by: F. Halek, et al.
Published: (2014-10-01)

Asthma and PM<sub>10</sub>
by: Gilmour M Ian, et al.
Published: (2000-07-01)

Spatial and temporal variations of the concentrations of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1</sub> in China
by: Y. Q. Wang, et al.
Published: (2015-12-01)

Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter
by: Z. Peng, et al.
Published: (2017-04-01)

Ionic and carbonaceous compositions of PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1.0</sub> at Gosan ABC Superstation and their ratios as source signature
by: S. Kim, et al.
Published: (2012-02-01)

PM<sub>2.5</sub> ∕ PM<sub>10</sub> ratio prediction based on a long short-term memory neural network in Wuhan, China
by: X. Wu, et al.
Published: (2020-03-01)

Variability of levels and composition of PM<sub>10</sub> and PM<sub>2.5</sub> in the Barcelona metro system
by: E. de Miguel, et al.
Published: (2012-06-01)

Ecological Assessment of Particulate Material (PM<sub>5</sub> and PM<sub>10</sub>) in Urban Habitats
by: Edina Simon, et al.
Published: (2020-05-01)

Development of a daily PM<sub>10</sub> and PM<sub>2.5</sub> prediction system using a deep long short-term memory neural network model
by: H. S. Kim, et al.
Published: (2019-10-01)

Carbonaceous Aerosols in PM<sub>1</sub>, PM<sub>2.5</sub>, and PM<sub>10</sub> Size Fractions over the Lanzhou City, Northwest China
by: Xin Zhang, et al.
Published: (2020-12-01)

Forecasting the PM-10 using a deep neural network
by: Chinawat Chairungrueang, et al.
Published: (2021-06-01)

Research on a Novel Hybrid Decomposition–Ensemble Learning Paradigm Based on VMD and IWOA for PM<sub>2.5</sub> Forecasting
by: Hengliang Guo, et al.
Published: (2021-01-01)

One decade of parallel fine (PM<sub>2.5</sub>) and coarse (PM<sub>10</sub>–PM<sub>2.5</sub>) particulate matter measurements in Europe: trends and variability
by: C. Hueglin, et al.
Published: (2012-04-01)

Kerb and urban increment of highly time-resolved trace elements in PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1.0</sub> winter aerosol in London during ClearfLo 2012
by: S. Visser, et al.
Published: (2015-03-01)

Air quality forecast of PM<sub>10</sub> in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement
by: Q. Z. Wu, et al.
Published: (2014-10-01)

A Novel Framework for Forecasting, Evaluation and Early-Warning for the Influence of PM<sub>10</sub> on Public Health
by: Wendong Yang, et al.
Published: (2021-08-01)

Trends and variability of atmospheric PM<sub>2.5</sub> and PM<sub>10–2.5</sub> concentration in the Po Valley, Italy
by: A. Bigi, et al.
Published: (2016-12-01)

Characterization of PM<sub>10</sub> sources in the central Mediterranean
by: G. Calzolai, et al.
Published: (2015-12-01)

Joint analysis of continental and regional background environments in the western Mediterranean: PM<sub>1</sub> and PM<sub>10</sub> concentrations and composition
by: A. Ripoll, et al.
Published: (2015-01-01)

Origin and influence of PM<sub>10</sub> in urban and in rural environments
by: M. Lutz, et al.
Published: (2008-05-01)

Spatial distribution of PM<sub>1</sub> and PM<sub>10</sub> during Saharan dust episodes in Athens, Greece
by: G. Ferentinos, et al.
Published: (2009-04-01)

An Improved Attention-Based Integrated Deep Neural Network for PM<sub>2.5</sub> Concentration Prediction
by: Pengfei Shi, et al.
Published: (2021-04-01)

Mass and chemical composition of size-segregated aerosols (PM<sub>1</sub>, PM<sub>2.5</sub>, PM<sub>10</sub>) over Athens, Greece: local versus regional sources
by: N. Mihalopoulos, et al.
Published: (2011-11-01)

PM<sub>10</sub>, PM<sub>2.5</sub>, PM<sub>1</sub>, number and surface of particles at the child’s seat when smoking a cigarette in a car
by: Scheitel M, et al.
Published: (2016-09-01)

Simulation of the Impact of Urban Forest Scale on PM<sub>2.5</sub> and PM<sub>10</sub> based on System Dynamics
by: Yejing Zhou, et al.
Published: (2019-10-01)

Estimation of the direct and indirect impacts of fireworks on the physicochemical characteristics of atmospheric PM<sub>10</sub> and PM<sub>2.5</sub>
by: Y. Z. Tian, et al.
Published: (2014-09-01)

Ambient PM<sub>2.5</sub> and PM<sub>10</sub> Exposure and Respiratory Disease Hospitalization in Kandy, Sri Lanka
by: Sajith Priyankara, et al.
Published: (2021-09-01)

SEASONALITY DEDUCTION PLATFORM: FOR PM<sub>10</sub>, PM<sub>2.5</sub>, NO, NO<sub>2</sub> AND O<sub>3</sub> IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY
by: S. Harbola, et al.
Published: (2020-09-01)

PREDICTION OF PM<sub>2.5</sub> CONCENTRATION OF BP NEURAL NETWORK BASED ON IMPROVED PARTICLE GROUP ALGORITHM
by: W. Zhang, et al.
Published: (2020-02-01)

Chemical Characteristics of Atmospheric PM<sub>10</sub> and PM<sub>2.5</sub> at a Rural Site of Lijiang City, China
by: Yu Liu, et al.
Published: (2020-12-01)

Analysis of PM<sub>2.5</sub>, PM<sub>10</sub>, and Total Suspended Particle Exposure in the Tema Metropolitan Area of Ghana
by: Smart Asomaning Sarpong, et al.
Published: (2021-05-01)

Validation and Calibration of CAMS PM<sub>2.5</sub> Forecasts Using In Situ PM<sub>2.5</sub> Measurements in China and United States
by: Chengbo Wu, et al.
Published: (2020-11-01)

Particulate Matter 10 (PM<sub>10</sub>) Is Associated with Epistaxis in Children and Adults
by: Kyungsoo Kim, et al.
Published: (2021-04-01)

Highly time-resolved measurements of element concentrations in PM<sub>10</sub> and PM<sub>2.5</sub>: comparison of Delhi, Beijing, London, and Krakow
by: P. Rai, et al.
Published: (2021-01-01)

3D Spatial Analysis of Particulate Matter (PM<sub>10</sub>, PM<sub>2.5</sub> and PM<sub>1.0</sub>) and Gaseous Pollutants (H<sub>2</sub>S, SO<sub>2</sub> and VOC) in Urban Areas Surrounding a Large Heat and Power Plant
by: Robert Cichowicz, et al.
Published: (2021-07-01)

Deep Inorganic Fraction Characterization of PM<sub>10</sub>, PM<sub>2.5</sub>, and PM<sub>1</sub> in an Industrial Area Located in Central Italy by Means of Instrumental Neutron Activation Analysis
by: Maurizio Manigrasso, et al.
Published: (2020-04-01)

Exposure of bakery and pastry apprentices to airborne flour dust using PM<sub>2.5 </sub>and PM<sub>10 </sub>personal samplers
by: Paris Christophe, et al.
Published: (2007-11-01)

Pollution Characteristics, Transport Pathways, and Potential Source Regions of PM<sub>2.5</sub> and PM<sub>10</sub> in Changchun City in 2018
by: Fanhao Meng, et al.
Published: (2020-09-01)