Abstract
Abstract. Buildings in subsiding areas may suffer from settlements causing damages of different severity levels with high impact in terms of yearly economic losses. In these contexts, a systematic damage assessment jointly with continuous monitoring of relevant parameters (e.g. settlements exhibited by points located on the roof) can be extremely useful to control the building behaviour and develop forecasting models. In this regard, the paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in the Netherlands where the availability of multi-temporal building damage surveys and a long DInSAR monitoring dataset allowed both retrieving quantitative empirical relationships between the cause (magnitude of the selected intensity parameter, IP) and the effect (recorded damage severity level, DL) and generating empirical fragility and vulnerability curves. The results pointed out the importance of considering the exact dating of the onset of building damage and the corresponding magnitude of the considered IP in the generation of quantitative forecasting models.
Highlights
Damage analysis and settlement monitoring of buildings at subsidence risk is a topic of particular concern when the most suitable strategies for land-use planning and urban management have to be identified
An integrated approach based on the joint use of monitoring data, such as those provided by the processing of spaceborne Synthetic Aperture Radar (SAR) images via Differential Interferometry techniques (DInSAR), and information on the damage severity level recorded by buildings can be extremely useful to set up reliable forecasting models tailored for managing the risk to exposed buildings and to develop suitable mitigation strategies
With reference to a densely urbanized area in the Netherlands, where masonry buildings have been suffering from subsidence-induced damage, this paper shows how the combination of the DInSAR-derived building settlements with the recorded damages is helpful to develop damage forecasting models
Summary
Damage analysis and settlement monitoring of buildings at subsidence risk is a topic of particular concern when the most suitable strategies for land-use planning and urban management have to be identified. Addressing this topic usually involves complex technical aspects, which include a thorough knowledge of the mechanisms, the properties of involved soils, the building/foundation typology, and the availability of (high quality and quantity) data gathered from the monitoring of buildings undergoing settlements For this reason, an integrated approach based on the joint use of monitoring data, such as those provided by the processing of spaceborne Synthetic Aperture Radar (SAR) images via Differential Interferometry techniques (DInSAR), and information on the damage severity level recorded by buildings (classified during in situ surveys) can be extremely useful to set up reliable forecasting models tailored for managing the risk to exposed buildings and to develop suitable mitigation strategies. The availability of multi-temporal building damage surveys, jointly with SAR data associated with the settlement monitoring, allows discussing the key role played by the exact dating of the onset and evolution of damage along with the corresponding value of the selected IP in deriving quantitative forecasting models that can be successfully used within procedures aimed at managing the risk to which buildings in subsiding areas are exposed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the International Association of Hydrological Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
