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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.