HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Boer, E. P. J. Articles by Stein, A. Search for Related Content PubMed PubMed Citation Articles by Boer, E. P. J. Articles by Stein, A. Agricola Articles by Boer, E. P. J. Articles by Stein, A. Related Collections Air Pollution Spatial Distribution Statistics

TECHNICAL REPORT
Atmospheric Pollutants and Trace Gases

Optimization of a Monitoring Network for Sulfur Dioxide

^a Wageningen University & Research Centre, Mathematical and Statistical Methods Group, Dreyenlaan 4, 6703 HA,Wageningen, the Netherlands
^b RIVM, National Institute of Public Health and the Environment, P.O. Box 1, 3720 BA, Bilthoven, the Netherlands

* Corresponding author (E.P.J.Boer{at}ato.dlo.nl)

Received for publication February 5, 2001. In this study, we develop and apply a methodology to reduce an existing monitoring network to find an optimal configuration of a smaller network. We use a criterion based on locally weighted regression with two different weight functions. The methodology is applied to the Dutch national SO₂ network and offers the possibility to include different politically relevant options in the model by weight criteria. Because full enumeration of all monitoring networks is impossible, a combinatorial search algorithm is applied to find a (sub)optimal solution. If different (optimal) monitoring networks result from different criteria, then the best can be selected.