Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Optimization of Monitoring Networks Using Fuzzy Variograms |
| Abstract | Monitoring network design and sampling optimization procedures are reported in literature and several authors have used difterent methodologies. Cokriging Estimation Variance (CEV) is an useful tool in order to determine the influence of the spatial configuration of monitoring networks on the estimations. An optimal solution of a monitoring network suffers of the uncertainties caused by the variographer's choices of the variogram model and its parameters. Using a fuzzy approach to represent these uncertainties, it is possible to describe the variogram parameters as fuzzy numbers and the parameter uncertainties by means of membership fimctions. Using such fuzzy variograms in coregionalization model, the cokriging method produces membership functions of both the estimation and the CEV. When optimal network arrangement has to be defined, a defuzzification measure (e.g. fuzzy mean) of the CEV can be used. A preliminary application of the fuzzy approach is in progress in order to outline a minimal arrangement of the nitrate concentration monitoring network of the aquifer of the Lucca Plain, Central Italy. |
| Source | IAMG 97 - The Third Annual Conference of the International Association for Mathematical Geology, Barcellona, 22-27 Settembre 1997 |
| Year | 1997 |
| Type | Contributo in atti di convegno |
| Authors | Passarella G; Vurro M; D'Agostino V |
| Text | 213199 1997 Optimization of Monitoring Networks Using Fuzzy Variograms Passarella G; Vurro M; D Agostino V G. Passarella, M. Vurro Water Research Institute CNR Vie F. De Blasio 5 70123 Bari ITALY V. D Agostino Tecnopolis CSATA S.P. Casamassima, km 3 70010 Valenzano BA ITALY Monitoring network design and sampling optimization procedures are reported in literature and several authors have used difterent methodologies. Cokriging Estimation Variance CEV is an useful tool in order to determine the influence of the spatial configuration of monitoring networks on the estimations. An optimal solution of a monitoring network suffers of the uncertainties caused by the variographer s choices of the variogram model and its parameters. Using a fuzzy approach to represent these uncertainties, it is possible to describe the variogram parameters as fuzzy numbers and the parameter uncertainties by means of membership fimctions. Using such fuzzy variograms in coregionalization model, the cokriging method produces membership functions of both the estimation and the CEV. When optimal network arrangement has to be defined, a defuzzification measure e.g. fuzzy mean of the CEV can be used. A preliminary application of the fuzzy approach is in progress in order to outline a minimal arrangement of the nitrate concentration monitoring network of the aquifer of the Lucca Plain, Central Italy. Proceedings of IAMG 97 The Third Annual Conference of the International Association for Mathematical Geology Pawlowsky Glahn V 84 87867 99 5 Pubblicazione in atti di convegno con ISBN. 2 IAMG 97 The Third Annual Conference of the International Association for Mathematical Geology Barcellona 22 27 Settembre 1997 Internazionale Contributo Optimization of Monitoring Networks Using Fuzzy Variograms Pubblicazione in atti di convegno con ISBN. INT_Contributo_in_atti_Convegno_03.pdf Contributo in atti di convegno giuseppe.passarella PASSARELLA GIUSEPPE michele.vurro VURRO MICHELE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |