arrow
Return

A Merging Algorithm for Aerosol Size Distribution from Multiple Instruments

delete2008-10-24
delete12
PRE
AI
J
Jakub Ondráček
Z
Zdimal, V.
J
J. Smolík
M
Mihalis Lazaridis *
DOI:10.1007/s11270-008-9873-ydelete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A simple algorithm for merging aerosol number particle size distribution (AMANpsd) data from multiple instruments is presented. The code uses a multilognormal model for the evaluation of merged aerosol particle size distribution data. AMANpsd is able to recalculate the aerodynamic diameter to the mobility diameter in the cases when, e.g., the Aerodynamic Particle Sizer data need to be connected to the data obtained by the Scanning Mobility Particle Sizer. The only assumption is the lognormality of the particle size distribution. As a result, the algorithm gives the parameters of the multilognormal model (particle number concentration, geometric mean diameter, and geometric standard deviation of each single lognormal mode). The algorithm was tested on a set of data from intensive indoor/outdoor measurement campaigns performed in Prague (Czech Republic), Oslo (Norway), and Milan (Italy). The particle size distribution data set covers the range of particle mobility diameters from 2 nm up to 8 mu m. The agreement between the multilognormal model and the available experimental data from multiple instruments was satisfactory.
Keywords:
Aerosols
Merging particle size distribution
Multilognormal model
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

W
Water and Air and Soil Pollution
IF:
3
Papers:
1.2W
Citations:
2.0W

Organization

T
Technical University of Crete
Scholars:
1.7K
Papers: 1.7K
Citations: 2.6K
C
czech academy of sciences
Scholars:
3.4W
Papers: 2.6W
Citations: 31
Cited Papers

Cited Papers

The effect of rituximab on vaccine responses in patients with immune thrombocytopenia
err2013-09-12
err0
errOAAI
errIshac Nazi; John G. Kelton; Mark Larché; Denis P. Snider; Nancy M. Heddle; Mark A. Crowther; Richard J. Cook; Alan T. Tinmouth; Joy Mangel; Donald M. Arnold
errShare
errSave
Neuroimagen estructural y funcional en las enfermedades priónicas humanas
err2013-06-01
err0
errOAAI
errS. Ortega-Cubero; M.R. Luquín; I. Domínguez; J. Arbizu; I. Pagola; M.M. Carmona-Abellán; M. Riverol
errShare
errSave
errShare
errSave
Patterning Self-Assembled Monolayers: Applications in Materials Science
err2002-05-01
err0
PREAI
errAmit Kumar; Hans A. Biebuyck; George M. Whitesides
errShare
errSave
errShare
errSave
Deformation Characteristics of Sandy Soil around a Plate Anchor under Lateral Loading
err2022-08-16
err0
errOAAI
errMiao Ren; Tong Jiang; Chen Liu; Junran Zhang; Lijin Wang
errShare
errSave
EEG alpha distinguishes between cuneal and precuneal activation in working memory
err2008-04-01
err0
PREAI
errLars Michels; Morteza Moazami-Goudarzi; Daniel Jeanmonod; Johannes Sarnthein
errShare
errSave
no more