본 논문은 1994 Northridge 지진에 의해 발생된 주거건물손상에 관하여 건물 교체시의 가격에 대한 상대적 수리비용의 개념으로 GIS기반의 손상평가에 관하여 기술하였다. 빌딩손상은 164개의 서로 다른 지역에서 얻어진 지진기록으로부터 유도된 지진매개변수와 빌딩위치 및 안전조사보고서를 바탕으로 평가하였다. 본 논문은 가장 심한 건물피해를 받은 위치를 규명하는 인식 알고리즘이 GIS를 통하여 개발되었다. 이러한 알고리즘은 지진 후 신속한 응급조치와 위성으로부터 얻어진 데이터를 짧은 시간에 분석할 수 있는 프레임을 제공한다.
This paper describes a GIS-based assessment of residential building damage caused by the 1994 Northridge earthquake in which the fractions of existing buildings damaged at various percentages of replacement cost are related to a range of seismic parameters. The assessment uses data from safety inspection reports and tax assessor records, both of which were geocoded and linked to seismic parameters derived from strong motion records at 164 different sites. The paper also describes a GIS-based pattern recognition algorithm for identifying locations of most intense building damage. The algorithm provides a framework for rapidly screening remote sensing data and dispatching emerging services.
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