A soft, shallow subsurface composition has the tendency to amplify earthquake waves, resulting in increased ground shaking. Therefore, this paper presents a workflow in order to obtain a map classifying the response of the subsurface based on local geology, earthquake signals, and background noise recordings for the Netherlands. The resulting map can be used as a first assessment in regions with earthquake hazard potential by mining or geothermal energy activities, for example.

Subsidence forecasts can be improved by squeezing all possible information out of a variety of local data, ranging from geological data that bear information on subsidence potential to geodetic data which allow for subsidence monitoring. This paper will substantiate the value of subsidence information for governance in sensitive areas, using examples in the Netherlands. In particular, the potential role of a nation-wide, freely accessible repository for subsidence data will be highlighted.

We propose a novel approach combining data and model for shallow subsidence predictions in the Netherlands.