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Integrated Assessment of Multidisciplinary Data for Geo-Structural Evaluations

机译:地理结构评估的多学科数据的综合评估

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Evaluation of large numbers of diverse structures can be necessary for dredging and remediation along the waterfront. For large remediation projects, dredging may be needed along miles of shorelines potentially impacting hundreds of structures. The complexity of evaluating potential impacts poses unique problems for geo-structural evaluation. Modern tools such as databases and geographical information systems (GIS) offer the opportunity to consolidate data in complex ways to permit contemporaneous assessment of data from diverse sources and of diverse types. This paper presents the development of both conventional databases and GIS databases that include diverse data including tabular and graphical data. Georeferenced graphical data such as digitized geologic maps, soil survey maps, digitized historical aerial photographs, digitized fire insurance maps, property boundary maps, and contemporary aerial imagery can be overlaid and evaluated together with digital and tabular data sets. In this example, 3-dimensional point clouds generated by LiDAR and high-resolution sonar mapping were also linked in a way that permitted spatial evaluation in the third dimension to enhance the plan view imagery. Structures were identified through digital assessment of the imagery, together with the point cloud measurements for field reconnaissance. Field reconnaissance data was collected digitally in the field and uploaded to a web-based GIS database. Critical parameters for evaluation including dimensions, condition, geotechnical conditions were initially assessed and over 350 structures were classified and evaluated for potential zone of influence within which structures would be influenced by dredging activities. This assessment served as the basis for planning detailed investigations and preliminary definition of safe dredging limits. This paper will discuss the process and tools utilized, as well as, the bases used in the assessment and lessons learned using this approach.
机译:沿江的疏and和整治可能需要评估大量不同的结构。对于大型修复项目,可能需要在数英里的海岸线上进行挖泥,这可能会影响数百个建筑物。评估潜在影响的复杂性给地理结构评估带来了独特的问题。诸如数据库和地理信息系统(GIS)之类的现代工具提供了以复杂方式合并数据的机会,以允许同时评估来自各种来源和各种类型的数据。本文介绍了常规数据库和GIS数据库的开发情况,这些数据库包括各种数据,包括表格和图形数据。地理参考图形数据(例如数字化地质图,土壤调查图,数字化历史航拍照片,数字化消防保险图,财产边界图和当代航空影像)可以与数字和表格数据集一起叠加和评估。在此示例中,还以允许在三维空间评估以增强平面图像的方式链接了由LiDAR生成的3维点云和高分辨率声纳映射。通过对图像进行数字评估以及用于现场侦察的点云测量来确定结构。野外侦察数据是在野外以数字方式收集的,并上传到基于Web的GIS数据库中。初步评估了评估的关键参数,包括尺寸,状况,岩土条件,并对350多个建筑物进行了分类,并评估了挖泥活动可能对建筑物造成的影响范围。该评估为计划详细调查和安全疏limits极限的初步定义奠定了基础。本文将讨论所使用的过程和工具,以及在评估中使用的基础和使用这种方法所汲取的经验教训。

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