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GIS Based of the Flash Flood Risk Estimation in Urban Areas. Kaunas City Case Study

机译:基于GIS的城市暴洪风险估算的GIS。考纳斯市案例研究

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The climate change is continually creating new challenges for researchers from various fields because it affects rainfall pattern and consequently the runoff and river flow over the world. The unpredictable flash floods of the last summer make it necessary to adapt the methods used in urban hydrology. On the other hand, intensifying urban development takes place without respecting the principles of sustainable development, which inevitably leads to unexpected problems, which cannot be solved without research. Flash floods causing inundation of relatively small urban areas localizing the damage to both the population's assets and the city’s infrastructure. To reduce the damage, it is first necessary to identify it, assess the extent of its and distribution in the city's territory and reveal the causes. The new achievements of remote sensing technologies in the last decade enables the rapid and timely acquisition of spatial information that can be used to identify potentially inundated areas and estimate their geometric parameters. The aim of this article is to determine potentially inundated areas by screening of local depressions using conventional GIS technologies and LIDAR data and develop a digital map for decision makers to maintain the sounder urban planning process.
机译:气候变化不断影响着各个领域的研究人员,因为它影响着降雨的格局,进而影响着全球的径流和河流流量。去年夏天不可预测的山洪使必须适应城市水文学中使用的方法。另一方面,在不尊重可持续发展原则的情况下进行城市发展,这不可避免地导致了意想不到的问题,没有研究就无法解决。山洪暴发导致相对较小的城市区域泛滥,使人口财产和城市基础设施受到破坏。为了减少损坏,首先必须进行识别,评估其范围以及在城市领土上的分布并揭示原因。过去十年来遥感技术的新成就使得能够快速,及时地获取空间信息,这些信息可用于识别可能被淹没的区域并估计其几何参数。本文的目的是通过使用常规GIS技术和LIDAR数据筛查局部洼地来确定潜在的淹没区域,并为决策者开发数字地图,以维持更合理的城市规划过程。

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