GIS-Based Seismic Hazard Prediction System for Urban Earthquake Disaster Prevention Planning

Yongmei Zhai, Shenglong Chen and Qianwen Ouyang
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Yongmei Zhai: Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China
Shenglong Chen: Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China
Qianwen Ouyang: Sugou Architecture & Technology Co. Ltd., Suzhou 215024, China

Sustainability, 2019, vol. 11, issue 9, 1-12

Abstract: It is of great significance to conduct seismic hazard prediction in mitigating the damage caused by earthquakes in urban area. In this study, a geographic information system (GIS)-based seismic hazard prediction system for urban earthquake disaster prevention planning is developed, incorporating structural vulnerability analysis, program development, and GIS. The system is integrated with proven building vulnerability analysis models, data search function, spatial analysis function, and plotting function. It realizes the batching and automation of seismic hazard prediction and the interactive visualization of predicted results. Finally, the system is applied to a test area and the results are compared with results from previous studies, the precision of which was improved because the construction time of the building was taken into consideration. Moreover, the system is of high intelligence and minimal manual intervention. It meets the operating requirements of non-professionals and provides a feasible technique and operating procedure for large-scale urban seismic hazard prediction. Above all, the system can provide data support and aid decision-making for the establishment and implementation of urban earthquake disaster prevention planning.

Keywords: GIS; urban seismic risk assessment; seismic hazard prediction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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