GIS-based seismic hazard prediction system for urban earthquake disaster prevention planning
| Autor: | Shenglong Chen, Qianwen Ouyang, Yongmei Zhai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Geographic information system
Computer science media_common.quotation_subject Geography Planning and Development TJ807-830 010501 environmental sciences Management Monitoring Policy and Law TD194-195 Urban area 01 natural sciences Renewable energy sources Construction engineering Earthquake scenario Vulnerability assessment seismic hazard prediction 0502 economics and business Urban seismic risk GE1-350 Function (engineering) 0105 earth and related environmental sciences media_common geography geography.geographical_feature_category Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry 05 social sciences GIS urban seismic risk assessment Environmental sciences Seismic hazard business 050203 business & management |
| Zdroj: | Sustainability Volume 11 Issue 9 Sustainability, Vol 11, Iss 9, p 2620 (2019) |
| DOI: | 10.7287/peerj.preprints.3165 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|