Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| 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 variographers 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 |
| Source | Environmental monitoring and assessment (Print) 82 (1), pp. 1–21 |
| Keywords | Groundwater qualityGroundwater managementCokrigingFuzzy analysis |
| Journal | Environmental monitoring and assessment (Print) |
| Editor | Kluwer Academic Publishers, London, Paesi Bassi |
| Year | 2003 |
| Type | Articolo in rivista |
| DOI | 10.1023/A:1021662705554 |
| Authors | Passarella G., Vurro M., D'Agostino V., Barcelona M.J |
| Text | 42057 2003 10.1023/A 1021662705554 ISI Web of Science WOS 000179881300001 Scopus 2 s2.0 0037322150 PubMed 12602619 Groundwater quality Groundwater management Cokriging Fuzzy analysis Cokriging Optimization of Monitoring Network Configuration based on Fuzzy and non Fuzzy Variogram Evaluation Passarella G., Vurro M., D Agostino V., Barcelona M.J Passarella G., Vurro M. Water Research Institute CNR, V.le De Blasio, 5 70123 Bari Italy DAgostino V. Tecnopolis NOVUS ORTUS, s.s. Casamassima, Valenzano Bari Italy Barcelona M.J. University of Michigan Department of Civil and Environmental Engineering, 1223 IST bldg., 2200 Bonisteel Boulevard, Ann Arbor, Michigan 48109 2099 USA 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 variographers 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 82 http //link.springer.com/article/10.1023%2FA%3A1021662705554 Articolo su rivista internazionale con IF Received 23 July 2001; accepted 14 March 2002 author for correspondence, e mail passarella@area.ba.cnr.it Cokriging Optimization of Monitoring Network Configuration based on Fuzzy and non Fuzzy Variogr Articolo su rivista internazionale con IF Received 23 July 2001; accepted 14 March 2002 author for correspondence, e mail passarella@area.ba.cnr.it INT_Articolo_in_Rivista_J_07.pdf Articolo in rivista Kluwer Academic Publishers 0167 6369 Environmental monitoring and assessment Print Environmental monitoring and assessment Print Environ. monit. assess. Print Environmental monitoring and assessment. Print 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 |