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Abstract. An intelligent system for bridge inspection and management requires a knowledge and appreciation of structural engineering, geotechnics, hydraulics, hydrology, materials and transport management. This study introduces BRIDGE SMS, an EU/FP7 project, which couples state-of-the art scientific knowledge in hydrology, river and structural engineering with industrial knowledge in infrastructure management and web-based bridge management. This involves the application of monitoring systems for the assessment and management of the structural and hydraulic vulnerability of infrastructure assets over waterways in an effort to develop an open-source cloud-based intelligent Decision Support System. BRIDGE SMS aims to deliver procedures for complete bridge inspections, through scour and structural inspections, and to develop a reliable decision support tool which would efficiently manage bridge failure risks in a cost-effective way.

A comparison of various methods that enable temporally continuous computation of basin-wide air temperature is presented. An approach that combines remote sensing data with measurements at meteorological stations for obtaining basin-wide air temperature is proposed and compared to the standard interpolation methods of point measurements. For a basin of over 1000 km2, the proposed approach provides significantly more reliable air temperature rasters (average Δ = 9%) than the standard interpolation methods (average Δ = 25%), all by using satellite images and measurements from only two meteorological stations in comparison to standard methods using measurements from 10 meteorological stations.