Description:
Abstract. Buildings in subsiding areas may suffer from settlementscausing damages of different severity levels with high impact in terms ofyearly economic losses. In these contexts, a systematic damage assessmentjointly with continuous monitoring of relevant parameters (e.g. settlementsexhibited by points located on the roof) can be extremely useful to controlthe building behaviour and develop forecasting models. In this regard, thepaper presents the results of an integrated analysis carried out on asubsidence-affected urban area in the Netherlands where the availability ofmulti-temporal building damage surveys and a long DInSAR monitoring datasetallowed both retrieving quantitative empirical relationships between thecause (magnitude of the selected intensity parameter, IP) and the effect(recorded damage severity level, DL) and generating empirical fragility andvulnerability curves. The results pointed out the importance of consideringthe exact dating of the onset of building damage and the correspondingmagnitude of the considered IP in the generation of quantitative forecastingmodels.