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TitleA STOCHASTIC METHOD FOR OPTIMAL LOCATION OF GROUNDWATER MONITORING SITES AT AQUIFER SCALE
AbstractWith the growth of public environmental awareness and the improvement in national and EU legislation regarding the environment, monitoring assumed great importance in the frame of all managerial activities related to territories. In particular, recently, a number of public environmental agencies have invested great resources in planning and operating improvements on existing monitoring networks within their regions. In this framework, and, at the light of the Water Framework Directive, the optimal monitoring of the qualitative and quantitative state of groundwater becomes a priority, particularly, when severe economic constraints must be imposed and the territory to be monitored is quite wide. There are a lot of reasons justifying the optimal extension of a monitoring network. In fact, a modest coverage of the monitored area often makes impossible to provide the manager with a sufficient knowledge for decisionmaking processes. In general, monitoring networks are characterized by a scarce number of existing wells, irregularly spread over the considered area. This is a typical case of optimization and it may be solved seeking among existing, but unused, wells, all and only those able to make the monitoring network coverage, the most uniform among any arrangement. Using existing wells as new monitoring sites, allows one to drastically reduce the needed budget. In this paper, a four step method, based on simulated annealing, has been implemented with the aim of identifying scarcely monitored zones within the groundwater system boundaries.
Source6th EGU General Assembly, Vienna (AUT), 19 - 24 Aprile 2009
Year2009
TypeAbstract in atti di convegno
AuthorsBARCA E., PASSARELLA G.
Text119396 2009 A STOCHASTIC METHOD FOR OPTIMAL LOCATION OF GROUNDWATER MONITORING SITES AT AQUIFER SCALE BARCA E., PASSARELLA G. E. Barca and G. Passarella Water Research Institute, National Research Council, Bari, Italy emanuele.barca@ba.irsa.cnr.it / 00390805313365 http //meetingorganizer.copernicus.org/EGU2009/EGU2009 12347.pdf Convegno internazionale organizzato da EGU, the European Geosciences Union 6th EGU General Assembly Vienna AUT 19 24 Aprile 2009 Internazionale Contributo With the growth of public environmental awareness and the improvement in national and EU legislation regarding the environment, monitoring assumed great importance in the frame of all managerial activities related to territories. In particular, recently, a number of public environmental agencies have invested great resources in planning and operating improvements on existing monitoring networks within their regions. In this framework, and, at the light of the Water Framework Directive, the optimal monitoring of the qualitative and quantitative state of groundwater becomes a priority, particularly, when severe economic constraints must be imposed and the territory to be monitored is quite wide. There are a lot of reasons justifying the optimal extension of a monitoring network. In fact, a modest coverage of the monitored area often makes impossible to provide the manager with a sufficient knowledge for decisionmaking processes. In general, monitoring networks are characterized by a scarce number of existing wells, irregularly spread over the considered area. This is a typical case of optimization and it may be solved seeking among existing, but unused, wells, all and only those able to make the monitoring network coverage, the most uniform among any arrangement. Using existing wells as new monitoring sites, allows one to drastically reduce the needed budget. In this paper, a four step method, based on simulated annealing, has been implemented with the aim of identifying scarcely monitored zones within the groundwater system boundaries. A STOCHASTIC METHOD FOR OPTIMAL LOCATION OF GROUNDWATER MONITORING SITES AT AQUIFER SCALE Abstract presentato a Convegno internazionale organizzato da EGU, the European Geosciences Union INT_Abstract_Poster_05.pdf Abstract in atti di convegno Copernicus GmbH 1029 7006 Geophysical research abstracts Geophysical research abstracts Geophys. res. abstr. Geophysical research abstracts. giuseppe.passarella PASSARELLA GIUSEPPE emanuele.barca BARCA EMANUELE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche