Development and evaluation of a framework for global flood hazard mapping
Development and evaluation of a framework for global flood hazard mapping
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DOI：
10.1016/j.advwatres.2016.05.002
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发表时间：
2016-08-01
影响因子：
4.7
通讯作者：
Feyen, Luc
中科院分区：
文献类型：
--
作者：
Dottori, Francesco;Salamon, Peter;Feyen, Luc
如今，高分辨率的洪水灾害模型的发展已经成为可行的在大陆和全球范围内，它们的应用在发展中国家和数据稀缺地区可以是非常有帮助的，以提高人口的准备和减少灾难性的影响，目前的工作描述了一个新的全球洪水灾害绘图程序的发展，在大尺度洪水模拟的最新进展的基础上。我们从全球洪水预警系统（GloFAS）的水文模拟中获得了一个长期的河流日流量数据集。在高分辨率的河流网络上对径流数据进行降尺度处理，并使用二维水动力学模型进行处理，为当地洪水淹没模拟提供输入。所有洪水易发区确定沿着河流网络，然后合并，以创建30 "分辨率的不同重现期的大陆洪水危险图。我们评估我们的方法在几个河流流域的性能在地球仪通过比较模拟洪水地图与官方的危害地图和马赛克的洪水地区从卫星图像检测。评价过程还包括与其他大尺度洪水模型的结果进行比较。我们进一步调查的敏感性洪水建模框架的几个参数和建模方法，并确定优势，局限性和可能的改进方法。(C)2016作者爱思唯尔有限公司出版
Nowadays, the development of high-resolution flood hazard models have become feasible at continental and global scale, and their application in developing countries and data-scarce regions can be extremely helpful to increase preparedness of population and reduce catastrophic impacts.The present work describes the development of a novel procedure for global flood hazard mapping, based on the most recent advances in large scale flood modelling. We derive a long-term dataset of daily river discharges from the hydrological simulations of the Global Flood Awareness System (GloFAS). Streamflow data is downscaled on a high resolution river network and processed to provide the input for local flood inundation simulations, performed with a two-dimensional hydrodynamic model. All flood prone areas identified along the river network are then merged to create continental flood hazard maps for different return periods at 30 '' resolution. We evaluate the performance of our methodology in several river basins across the globe by comparing simulated flood maps with both official hazard maps and a mosaic of flooded areas detected from satellite images. The evaluation procedure also includes comparisons with the results of other large scale flood models. We further investigate the sensitivity of the flood modelling framework to several parameters and modelling approaches and identify strengths, limitations and possible improvements of the methodology. (C) 2016 The Authors. Published by Elsevier Ltd.