Random sampling against continuous monitoring for air quality monitoring networks

J. G. Kretzschmar; G. Cosemans

doi:10.1016/S0166-1116(08)71658-3

Random sampling against continuous monitoring for air quality monitoring networks

J. G. Kretzschmar, G. Cosemans

Research output › peer-review

Abstract

Based on some mathematical manipulations of the properties of the lognormal distribution it is shown that certain sampling schemes can give the most important part of the information one is looking for in many air pollution monitoring networks. The soundness of the theoretical conclusions is illustrated by means of different practical examples taken from existing non-automatic as well as from automatic monitoring networks.

Original language	English
Pages (from-to)	213-218
Number of pages	6
Journal	Studies in Environmental Science
Volume	8
Issue number	C
DOIs	https://doi.org/10.1016/S0166-1116(08)71658-3
State	Published - 1980
Externally published	Yes

ASJC Scopus subject areas

Environmental Engineering

Access to Document

10.1016/S0166-1116(08)71658-3

Cite this

@article{61ae4c78e0ab4c9d9da65be100bc2304,

title = "Random sampling against continuous monitoring for air quality monitoring networks",

abstract = "Based on some mathematical manipulations of the properties of the lognormal distribution it is shown that certain sampling schemes can give the most important part of the information one is looking for in many air pollution monitoring networks. The soundness of the theoretical conclusions is illustrated by means of different practical examples taken from existing non-automatic as well as from automatic monitoring networks.",

author = "Kretzschmar, {J. G.} and G. Cosemans",

year = "1980",

doi = "10.1016/S0166-1116(08)71658-3",

language = "English",

volume = "8",

pages = "213--218",

journal = "Studies in Environmental Science",

issn = "0166-1116",

publisher = "Elsevier",

number = "C",

}

TY - JOUR

T1 - Random sampling against continuous monitoring for air quality monitoring networks

AU - Kretzschmar, J. G.

AU - Cosemans, G.

PY - 1980

Y1 - 1980

N2 - Based on some mathematical manipulations of the properties of the lognormal distribution it is shown that certain sampling schemes can give the most important part of the information one is looking for in many air pollution monitoring networks. The soundness of the theoretical conclusions is illustrated by means of different practical examples taken from existing non-automatic as well as from automatic monitoring networks.

AB - Based on some mathematical manipulations of the properties of the lognormal distribution it is shown that certain sampling schemes can give the most important part of the information one is looking for in many air pollution monitoring networks. The soundness of the theoretical conclusions is illustrated by means of different practical examples taken from existing non-automatic as well as from automatic monitoring networks.

UR - http://www.scopus.com/inward/record.url?scp=77957014308&partnerID=8YFLogxK

U2 - 10.1016/S0166-1116(08)71658-3

DO - 10.1016/S0166-1116(08)71658-3

M3 - Article

AN - SCOPUS:77957014308

SN - 0166-1116

VL - 8

SP - 213

EP - 218

JO - Studies in Environmental Science

JF - Studies in Environmental Science

IS - C

ER -