Improved methodology for processing raw LiDAR data to support urban flood modelling – accounting for elevated roads and bridges
Improved methodology for processing raw LiDAR data to support urban flood modelling – accounting for elevated roads and bridges
复制标题
DOI：
10.2166/hydro.2011.009
复制
发表时间：
2012-04
影响因子：
2.7
通讯作者：
A. F. Abdullah;Z. Vojinovic;R. Price;N. Aziz
中科院分区：
文献类型：
--
作者：
A. F. Abdullah;Z. Vojinovic;R. Price;N. Aziz
数字地形模型（dtm）代表了一个重要的信息来源，它可以使城市洪泛区的行为及其与排水系统的相互作用得到检查、理解和预测。通常，这些数据是通过光探测和测距（激光雷达）获得的。如果DTM没有包含足够的城市特征表示，则建模工作的结果可能会受到影响。这是因为城市环境包含各种各样的特征，这些特征可以在洪水发生时储存和/或转移水流。本文所描述的工作涉及对先前工作中讨论的激光雷达滤波算法的进一步改进。该改进算法的主要特点是：能够处理建筑物，能够检测高架道路并根据实际情况进行表示，能够处理桥梁和河岸。该算法使用来自吉隆坡案例研究的真实数据进行了测试。结果表明，新开发的MPMA2算法比现有的任何算法都能更好地识别一些对城市洪水建模应用至关重要的特征，并且在模拟和观测的洪水深度和洪水范围之间有更好的一致性。
Digital Terrain Models (DTMs) represent an essential source of information that can allow the behaviour of the urban floodplain, and its interactions with the drainage system, to be examined, understood and predicted. Typically, such data are obtained via Light Detection and Ranging (LiDAR). If a DTM does not contain adequate representation of urban features the results from the modelling efforts can be. This is due to the fact that urban environments contain variety of features, which can have functions of storing and/or diverting flows during flood events. The work described in this paper concerns further improvements of a LiDAR filtering algorithm which was discussed in a previous work. The key characteristics of this improved algorithm are: ability to deal with buildings, detect elevated road and represent them accordance to reality and deal with bridges and riverbanks. The algorithm was tested using a real-life data from a case study of Kuala Lumpur. The results have shown that the newly developed MPMA2 algorithm has better capabilities of identifying some of the features that are vital for urban flood modelling applications than any of the currently available algorithms and it leads to better agreement between simulated and observed flood depths and flood extents.