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A software for optimal information based downsizing/upsizing of existing monitoring networks.

机译:一种基于最佳信息的软件,该软件基于现有监视网络的缩小/放大。

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摘要

Using reliable stochastic or deterministic methods, it is possible to rearrange an existing network by eliminating, adding or moving monitoring locations producing the optimal arrangement among any possible. In this paper, some spatial optimization methods have been selected as more effective among those reported in literature and implemented into a software M-Sanos able to carry out a complete redesign of an existing monitoring network. Both stochastic and deterministic methods have been embedded in the software with the option of choosing, case by case, the most suitable with regard to the available information. Finally, an application to the existing regional groundwater level monitoring network of the aquifer of Tavoliere located in Apulia (south Italy) is presented.
机译:使用可靠的随机或确定性方法,可以通过消除,添加或移动监视位置来重新布置现有网络,从而在任何可能的情况下产生最佳布置。在本文中,已从文献报道的方法中选择了一些更有效的空间优化方法,并将其实施到软件M-Sanos中,该软件能够对现有监控网络进行完整的重新设计。随机和确定性方法都已嵌入软件中,可以根据情况选择最适合于可用信息的选项。最后,介绍了位于意大利南部阿普利亚的塔沃列尔含水层的现有区域地下水位监测网络的应用。

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