Articolo
pubblicato sulla rivista Environmental Monitoring And
Assessment
2003, n. 81, pp 53-84.
COKRIGING
OPTIMIZATION OF MONITORING NETWORK CONFIGURATION
BASED ON FUZZY AND NON-FUZZY VARIOGRAM
EVALUATION
Autori:
G. PASSARELLA1,
M. VURRO1,
V. D’AGOSTINO2,
and M.
J. BARCELONA3
1
Water
Research Institute, CNR, Bari, Italy;
2 Tecnopolis
CSATA, s.p. Casamassima,Valenzano, Bari, Italy;
3
Western
Michigan University, Department of Chemistry, Kalamazoo, Michigan,
U.S.A.
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 ofModena, Northern
Italy. The fuzzy approach was found to require considerably more
computational time and numbers of wells at comparable level of
information loss.
Per ulteriori informazioni
Vito D'Agostino
tel. 0804670235
e-mail: v.dagostino@tno.it
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