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Knowledge Based Geologic Hazard Risk Assessment for Municipal, Transportation, Energy, and Industrial Infrastructure

机译:用于市政,交通,能源和工业基础设施的基于知识的地质灾害风险评估

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Geologic hazards can be identified in a complex urban environment and then combined with historic main break, leak and sinkhole data to develop a utility failure knowledge management system for use in karst areas. Development of a predictive utility failure model based upon 35 years of pavement management, sidewalk reconstruction, utility break, and utility line construction records is presented. Pavement cracking and clusters of service breaks were found to be indicators of slow subsidence in pinnacled solution-prone bedrock areas. High risk deep solution weathering cutter zones were identified using sanitary sewer profiles and verified by ground probing radar. The developed leak-break knowledge management system will be used to identify high risk water, gas, sewer, and stormwater utility areas.
机译:可以在复杂的城市环境中识别地质灾害,然后将其与历史性的主要断裂,泄漏和下沉数据相结合,以开发可在岩溶地区使用的公用事业故障知识管理系统。提出了基于35年的路面管理,人行道重建,设施中断和设施线路施工记录的预测性设施故障模型的开发。人们发现,在容易发生尖峰的溶液基岩区域,路面开裂和服务中断群集是缓慢沉降的指标。使用下水道轮廓识别高风险深层解决方案风化切割带,并通过地面探测雷达进行验证。已开发的防泄漏知识管理系统将用于识别高风险的水,天然气,下水道和雨水利用区域。

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