| Title | MSANOS: Data-Driven, Multi-Approach Software for Optimal Redesign of Environmental Monitoring Networks |
| Abstract | Within the recent EU Water Framework Directive and the modification introduced into national water-related legislation, monitoring assumes great importance in the frame of territorial managerial activities. Recently, a number of public environmental agencies have invested resources in planning improvements to existing monitoring networks. In effect, many reasons justify having a monitoring network that is optimally arranged in the territory of interest. In fact, modest or sparse coverage of the monitored area or redundancies and clustering of monitoring locations often make it impossible to provide the manager with sufficient knowledge for decision-making processes. The above mentioned are typical cases requiring optimal redesign of the whole network; fortunately, using appropriate stochastic or deterministic methods, it is possible to rearrange the existing network by eliminating, adding, or moving monitoring locations and producing the optimal arrangement with regard to specific managerial objectives. This paper describes a new software application, MSANOS, containing some spatial optimization methods selected as the most effective among those reported in literature. In the following, it is shown that MSANOS is actually able to carry out a complete redesign of an existing monitoring network in either the addition or the reduction sense. Both model-based and design-based objective functions have been embedded in the software with the option of choosing, case by case, the most suitable with regard to the available information and the managerial optimization objectives. Finally, two applications for testing the goodness of an existing monitoring network and the optimal reduction of an existing groundwater-level monitoring network of the aquifer of Tavoliere located in Apulia (South Italy), constrained to limit the information loss, are presented. |
| Source | Water resources management 29 (2), pp. 619–644 |
| Keywords | Optimal monitoring network redesignOptimization methodsSpatial simulated annealingJackknifeGreedy deletion |
| Journal | Water resources management |
| Editor | Reidel, Boston, Paesi Bassi |
| Year | 2015 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11269-014-0859-9 |
| Authors | Barca, Emanuele; Passarella, Giuseppe; Vurro, Michele; Morea, Alberto |
| Text | 297289 2015 10.1007/s11269 014 0859 9 ISI Web of Science WOS 000347410000026 Scopus 2 s2.0 84925517432 Optimal monitoring network redesign Optimization methods Spatial simulated annealing Jackknife Greedy deletion MSANOS Data Driven, Multi Approach Software for Optimal Redesign of Environmental Monitoring Networks Barca, Emanuele; Passarella, Giuseppe; Vurro, Michele; Morea, Alberto Consiglio Nazionale delle Ricerche CNR ; University of Bari Within the recent EU Water Framework Directive and the modification introduced into national water related legislation, monitoring assumes great importance in the frame of territorial managerial activities. Recently, a number of public environmental agencies have invested resources in planning improvements to existing monitoring networks. In effect, many reasons justify having a monitoring network that is optimally arranged in the territory of interest. In fact, modest or sparse coverage of the monitored area or redundancies and clustering of monitoring locations often make it impossible to provide the manager with sufficient knowledge for decision making processes. The above mentioned are typical cases requiring optimal redesign of the whole network; fortunately, using appropriate stochastic or deterministic methods, it is possible to rearrange the existing network by eliminating, adding, or moving monitoring locations and producing the optimal arrangement with regard to specific managerial objectives. This paper describes a new software application, MSANOS, containing some spatial optimization methods selected as the most effective among those reported in literature. In the following, it is shown that MSANOS is actually able to carry out a complete redesign of an existing monitoring network in either the addition or the reduction sense. Both model based and design based objective functions have been embedded in the software with the option of choosing, case by case, the most suitable with regard to the available information and the managerial optimization objectives. Finally, two applications for testing the goodness of an existing monitoring network and the optimal reduction of an existing groundwater level monitoring network of the aquifer of Tavoliere located in Apulia South Italy , constrained to limit the information loss, are presented. 29 Published version 20/10/2014 ISI Journal Received 13 December 2013 /Accepted 20 October 2014 /Published online 21 November 2014 MSANOS Data Driven, Multi Approach Software for Optimal Redesign of Environmental Monitoring Networks Barca et al. WARM 2015 MSANOS Data Driven, Multi Approach Software for Optimal Redesign of Environmental Monitoring Networks Barca2015_Article_MSANOSData DrivenMulti Approac.pdf Articolo in rivista Reidel 0920 4741 Water resources management Water resources management Water resour. manag. giuseppe.passarella PASSARELLA GIUSEPPE emanuele.barca BARCA EMANUELE michele.vurro VURRO MICHELE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche |
