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Part 3: Decision Support Tools and SystemsInternational audienceWe present an environmental software system that obtains, integrates, and reasons over situational knowledge about natural phenomena and human activity. We focus on storms and driver directions. Radar data for rainfall intensity and Google Directions are used to extract situational knowledge about storms and driver locations along directions, respectively. Situational knowledge about the environment and about human activity is integrated in order to infer situations in which drivers are potentially at higher risk. Awareness of such situations is of obvious interest. We present a prototype user interface that supports adding scheduled driver directions and the visualization of situations in space-time, in particular also those in which drivers are potentially at higher risk. We think that the system supports the claim that the concept of situation is useful for the modelling of information about the environment, including human activity, obtained in environmental monitoring systems. Furthermore, the presented work shows that situational knowledge, represented by heterogeneous systems that share the concept of situation, is relatively straightforward to integrate

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We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.