title: Cokriging optimization of monitoring network configuration based on fuzzy and non-fuzzy variogram evaluation.
abstract: A number of optimization approaches regarding monitoring network design and sampling optimization procedures have been reported in the literature. Cokriging Estimation Variance (CEV) is a useful optimization tool to determine the influence of the spatial configuration of monitoring networks on parameter estimations. It was used in order to derive a reduced configuration of a nitrate concentration monitoring well network. The reliability of the reduced monitoring configuration suffers from the uncertainties caused by the variographer's choices and several inherent assumptions. These uncertainties can be described considering the variogram parameters as fuzzy numbers and the uncertainties by means of membership functions. Fuzzy and non-fuzzy approaches were used to evaluate differences among well network configurations. Both approaches permitted estimates of acceptable levels of information loss for nitrate concentrations in the monitoring network of the aquifer of the Plain of Modena, Northern Italy. The fuzzy approach was found to require considerably more computational time and numbers of wells at comparable level of information loss.
authors.affiliation: Water Research Institute, CNR, Bari, Italy. passarella@area.ba.cnr.it
authors.forename: G
authors.initials: G
authors.lastname: Passarella
authors.forename: M
authors.initials: M
authors.lastname: Vurro
authors.forename: V
authors.initials: V
authors.lastname: D'Agostino
authors.forename: M J
authors.initials: MJ
authors.lastname: Barcelona
mesh_terms: D003625:Data Collection; D004784:Environmental Monitoring / Q000706:statistics & numerical data*; D017143:Fuzzy Logic; D005844:Geology / Q000706:statistics & numerical data; D015233:Models, Statistical; D012987:Soil; D013048:Specimen Handling; D014881:Water Supply
chemical_list: D012987:Soil