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Advances in spatial mapping of waterways

机译:水路空间制图研究进展

摘要

Substantial advances in Geographic Information Software (GIS) capabilities and improved access to detailed digital elevation models (DEM) produced from LiDAR (Light Detection And Ranging) has improved the quality of waterway mapping which also allows for detailed analysis of waterways over large areas. Studies of waterways over large areas are usually determined from large grid size (20-30 m) DEMs. In this work, a detailed waterway network was created over a 1096 km² area using a 10m DEM. Studies of this type over such a large area are rare because of the lack of suitable raw data and the amount of work and cost required to create and process the data. The motivation for this work came from a requirement of the Ipswich City Council (ICC) for an upgraded stream ordered waterway network to support their vision for healthier waterways within the city (Kavanagh, 2009). The new high quality stream ordered waterway network enables the identification and prioritisation of riparian corridor management activities along waterways and facilitates the monitoring and improvement of water quality.The paper compares waterways from a 20m DEM created in 2004 derived from 5m contours with waterways created from a more accurate and comprehensive 10m DEM created in 2012 from LiDAR data. The study included an assessment of the DEM data and variable parameters such as the most suitable grid scale and catchment input resolution to understand variations in the formation of the waterway networks. Results indicate an approximate 20% increase in lengths of waterways with the new LiDAR based waterways. When compared with the 2004 digital waterways, the additional waterway lengths have the potential impact significantly on cost of remediation of waterways and potentially on the results of water quality modelling. The work illustrated that, in an area such as the ICC, improved waterways created from LiDAR data are suitable for use on a whole of local government authority basis, albeit with a requirement for two stream ordered networks. One network for general waterways locations and lengths, and another more detailed, network for assessment of runoffs and flood studies.
机译:地理信息软件(GIS)功能的实质性进步以及对LiDAR(光探测与测距)产生的详细数字高程模型(DEM)的访问得到改善,改善了航道制图的质量,还可以对大面积的航道进行详细分析。大面积水道的研究通常由较大的网格尺寸(20-30 m)DEM确定。在这项工作中,使用10m DEM在1096​​km²的区域上创建了详细的水路网络。由于缺乏合适的原始数据以及创建和处理数据所需的工作量和成本,因此在如此大的面积上进行此类研究很少。开展这项工作的动力来自伊普斯威奇市议会(ICC)的要求,即升级的溪流有序水道网络应支持他们对城市内更健康水道的愿景(Kavanagh,2009年)。新的高质量水流有序水道网络可以识别和优先确定沿河道的河岸走廊管理活动,并有助于监测和改善水质。本文将2004年从5m等高线创建的20m DEM的水道与从5m轮廓创建的水道进行了比较。根据LiDAR数据,在2012年创建了更准确,更全面的1000万DEM。该研究包括对DEM数据和可变参数(例如最合适的网格规模和集水区输入分辨率)的评估,以了解水路网络形成的变化。结果表明,新的基于LiDAR的水道的水道长度增加了大约20%。与2004年的数字水道相比,增加的水道长度可能对水道修复成本和水质模型化结果产生重大影响。这项工作表明,在ICC等地区,由LiDAR数据创建的改进航道适合在整​​个地方政府权限基础上使用,尽管需要两个流排序网络。一个用于一般水道位置和长度的网络,另一个用于详细评估径流和洪水研究的网络。

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