地震减灾决策支持系统

A. Tang, A. Zhao
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引用次数: 5

摘要

地震灾害是影响社会经济可持续和谐发展的巨大风险,因此,构建地震减灾备灾战略决策支持系统是有效的方法。介绍了一个典型的地震减灾决策支持系统。介绍了系统的原理、设计标准、结构、功能及应用。该系统基于地理信息系统和人工智能技术,主要包括地震危险性分析、生命线系统性能分析、各类建筑震害预测、震后应急辅助决策和地震信息即时发布等几个部分。在这个系统中,有100多个覆盖和36个分析模型。这些报道几乎涵盖了满足地震减灾和风险评估需求的所有相关数据,包括记录地震、地震构造带、历史地震烈度分布、土壤剖面、建筑物特征、居民分布、重要生命线系统、地震救援经验和知识等。这些分析模块可用于地震等震线的生成、场地效应的估算、边坡破坏可能性的预测和地震引发滑坡的破坏边界的预测、建筑物和生命线系统的性能、破坏和损失的评估、伤亡人数的评估,并为救援、救灾、疏散提供决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Decision Supporting System for Earthquake Disaster Mitigation
The earthquake disaster was a vast risk for a sustainable and harmonious societal and economic development, so, it was effective methods to build a decision supporting system for earthquake disaster mitigation and preparation stratagem. A typical decision support system for Earthquake disaster mitigation was introduced in this paper. The principle, design criteria, structure, functions and application of the system were described herein. This system based on Geographical Information System and Artificial Intelligence, consists of below several parts: earthquake hazard analysis, lifeline system performance analysis, kinds of building earthquake damage forecasting, post-earthquake emergency response aided-decisions and earthquake information instant publishing. In this system, there were more than 100 coverages and 36 analytical models. These coverages covered almost all related data to meet the needs of earthquake disaster mitigation and risk assessment, including recorded earthquakes, seismic tectonic zones, intensity distribution of historic earthquake, soil profiles, characteristics of buildings, distribution of citizens, important lifeline systems, earthquake rescuing experience and knowledge, etc. These analytical modules could be used to generate isoseismals of earthquake, estimate site effects, forecast the failure possibility of slope and the damage bound of landslide triggered by earthquake, evaluate performance, damage and losses of building and lifeline system, assess the toll of death and injured, and provided the decision-making for rescue, relief, evacuation.
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