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DatoValore
TitleOptimal resizing of groundwater monitoring networks: a retrospective analysis of a reduced configuration
AbstractThe redesign of environmental monitoring networks is a field rich of practical applications, in particular in light of recent EU environmental directives. When dealing with an existing monitoring network reduction, the easiest approach is to search for redundancies among the monitoring locations (clusters of locations) and to remove the most useless of them on the basis of the values of some quantitative parameter. This approach could lose some important features of the existing network, thus reducing its informative content. To avoid such a risk, the results of the network optimization should undergo a retrospective analysis capable to verify, by assessing some independent statistical indices, the acceptability of the reduced configuration with respect to specific managerial issues. The case study presented in this work focuses on the optimal downsizing of a groundwater monitoring network located in the Southern part of Italy. The MSANOS optimization software has been used to select the locations to remove from the existing network, with the goal to sustainably balance maintenance costs and information loss. The investigated case is of particular interest for both the critical issues of the considered resource and the recognized importance of the groundwater monitoring in the European Water Framework Directive.
Source6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation, Reggio Calabria, Italy, 24-25/06/2016
Keywordsmonitoring networkoptimizationresizinggroundwater
Year2016
TypeContributo in atti di convegno
Authors(1) Barca E.; (1) Bruno D.E.; (2) Lay-Ekuakille A.; (1) Maggi S.; (1) Passarella G.
Text362472 2016 Scopus 2 s2.0 84994577762 monitoring network optimization resizing groundwater Optimal resizing of groundwater monitoring networks a retrospective analysis of a reduced configuration 1 Barca E.; 1 Bruno D.E.; 2 Lay Ekuakille A.; 1 Maggi S.; 1 Passarella G. 1 CNR IRSA, Water Research Institute, Bari, 70132, Italy; 1 Department of Innovation Engineering, University of Salento, Lecce, 73100, Italy The redesign of environmental monitoring networks is a field rich of practical applications, in particular in light of recent EU environmental directives. When dealing with an existing monitoring network reduction, the easiest approach is to search for redundancies among the monitoring locations clusters of locations and to remove the most useless of them on the basis of the values of some quantitative parameter. This approach could lose some important features of the existing network, thus reducing its informative content. To avoid such a risk, the results of the network optimization should undergo a retrospective analysis capable to verify, by assessing some independent statistical indices, the acceptability of the reduced configuration with respect to specific managerial issues. The case study presented in this work focuses on the optimal downsizing of a groundwater monitoring network located in the Southern part of Italy. The MSANOS optimization software has been used to select the locations to remove from the existing network, with the goal to sustainably balance maintenance costs and information loss. The investigated case is of particular interest for both the critical issues of the considered resource and the recognized importance of the groundwater monitoring in the European Water Framework Directive. Proceedings of 6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation Rosario Morello 978 92 990075 2 5 Published version http //www.scopus.com/record/display.url eid=2 s2.0 84994577762 origin=inward 6th Envimeko 2016 Imeko Tc19 Symposium on Environmental Instrumentation Reggio Calabria, Italy 24 25/06/2016 Internazionale Su invito Barca et al., Optimal Resizing of Groundwater Monitoring Networks a Retrospective Analysis of a Reduced Configuration IMEKO TC19 2016 002.pdf Contributo in atti di convegno giuseppe.passarella PASSARELLA GIUSEPPE emanuele.barca BARCA EMANUELE sabino.maggi MAGGI SABINO deliaevelina.bruno BRUNO DELIA EVELINA TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche