title: Optimization of a monitoring network for sulfur dioxide.
abstract: 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.
authors.affiliation: Wageningen University & Research Centre, Mathematical and Statistical Methods Group, The Netherlands. E.P.J.Boer@ato.dlo.nl
authors.forename: E P J
authors.initials: EP
authors.lastname: Boer
authors.forename: A L M
authors.initials: AL
authors.lastname: Dekkers
authors.forename: A
authors.initials: A
authors.lastname: Stein
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002138:Calibration; D004784:Environmental Monitoring; D008962:Models, Theoretical; D012044:Regression Analysis; D012680:Sensitivity and Specificity; D013458:Sulfur Dioxide / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D013458:Sulfur Dioxide