GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 2.2 GNGTS 2024 GIS spaHal modelling for seismic exposure assessment: a case study over Central Asia. A. Tamaro, C. Scaini Na9onal Ins9tute of Oceanography and Applied Geophysics - OGS, Trieste, Italy IntroducHon Exposure assessment is of paramount importance in order to produce reliable risk esCmates. However, there are many challenges associated with exposure assessment, in parCcular due to the lack of data on the spaCal distribuCon of assets. Exposure analyses, in fact, idenCfy the main exposed assets and their spaCal locaCon. In addiCon, it allows the assessment of the reconstrucCon costs for each asset. Here, we present a methodology to assess exposed populaCon and residenCal buildings based on a combinaCon of regional-scale and naConal-scale data, and apply it to Central Asia. The adopted approach combines the most recent datasets and technologies, which allowed the development of high-resoluCon datasets (e.g., the Facebook high-resoluCon populaCon grid, hbps://data.humdata.org/organizaCon/facebook ) and local-scale official data (e.g., populaCon census). All collected data were harmonized in order to produce a regionally- consistent exposure database for Central Asia. The exposure database was developed during the project “ Regionally consistent risk assessment for earthquakes and floods and selec9ve landslide scenario analysis for strengthening financial resilience and accelera9ng risk reduc9on in Central Asia ” funded by the European Community and implemented by the World Bank. The project saw the development of mulCple exposure layers for the different exposed asset types idenCfied in Central Asia: ● · populaCon ● · residenCal buildings ● · non-residenCal buildings (schools, healthcare faciliCes, industrial and commercial buildings) ● · transportaCon system (roads, railways and bridges) ● · croplands ● A more detailed explanaCon of the methodology and the results obtained can be found in Scaini et al. (2023, a,b) In this short note we will only present the methods and results of the exposure model for the populaCon and residenCal buildings, discussing the applicability of this method to other contexts.