Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata
Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata
复制标题
水文-水力模型和地貌描述子的联合使用用于洪水易发地区评估：以喇嘛拉马西纳塔为例
DOI：
10.1007/978-3-030-58811-3_44
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
G. Chiaia
中科院分区：
文献类型：
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作者：
Beatrice Lioi;A. Gioia;V. Totaro;G. Balacco;V. Iacobellis;G. Chiaia
洪水风险图的绘制是规划城市地区管理的基本步骤。这种评估可以通过水力/水文模型进行，从而可以获得水深和相关的淹没区域。这样，就有可能减轻和控制洪水的灾难性影响，过去几十年来，洪水变得更加频繁。这些事件造成人命和财产损失。此外，由于测量地表高度的新技术，高分辨率地形数据（即数字地形模型）的可用性日益增加，这有力地推动了能够迅速可靠地查明洪水敏感性的新技术的开发。在这项研究中，两种方法来映射洪水易发地区的岩溶短暂流在普利亚地区（南部意大利）进行了比较，突出如何基于DTM的技术是一个宝贵的信息来源，在数据贫乏的环境。结果是在类似地区与以前的研究完全一致，显示地形在确定洪水易发区的显着影响。这些研究还有助于调查更广泛的水文相关方面，特别是社区的社会行为。
The delineation of flood risk maps is a fundamental step in planning urban areas management. This evaluation can be carried out by hydraulic/hydrological modelling that allows obtaining water depths and related flooded areas. In this way, it is possible to mitigate and contain the catastrophic effects of floods, which become more frequent in the last decades. These events result in losses of both human lives and assets. In addition, the growing availability of high-resolution topographic data (i.e. Digital Terrain Models - DTM), due to new technologies for measuring surface elevation, gave a strong impulse to the development of new techniques capable of providing rapid and reliable identification of flood susceptibility. In this study, two methodologies for mapping flood-prone areas in karst ephemeral streams in Puglia region (Southern Italy) are compared, highlighting how DTM-based technologies are a precious source of information in data-poor environments. Results are in perfect agreement with previous studies on similar areas, showing the marked influences of topography in defining flood-prone areas. These researches can also be useful in investigating a wider gamma of hydrological-related aspects, in particular with respect to the social behavior of communities.