Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty
Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty
复制标题
探索 SRTM 地形数据在不确定性下洪水淹没建模中的潜力
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
D. Solomatine
中科院分区：
文献类型：
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作者：
K. Yan;G. Baldassarre;D. Solomatine
建立和校准模型以支持洪水风险管理决策过程所需的数据往往不够或无法获得。全球遥感数据现在提供了一个潜在的机会，这些数据可以免费（或以低成本）从互联网获得，例如，航天飞机雷达地形图任务（SRTM）地形图。人们普遍认为，使用SRTM地形数据会降低淹没模拟的性能。然而，SRTM地形的实际有效性和实用性在很大程度上仍未得到探索。为了克服这种知识的缺乏，我们探索了SRTM地形在不确定条件下支持洪水淹没模型的价值。这项研究是在意大利北部波河一段98公里长的河段上进行的。基于高质量地形的水力模型与基于SRTM地形的水力模型之间的比较，明确考虑了其他不可避免地影响水力模型的不确定性来源（除了地形不准确性），例如参数和流入的不确定性。本研究结果表明，基于高分辨率地形的模型与基于srtm的模型之间的差异是显著的，但在与大尺度洪水研究通常相关的精度范围内。
The desirable data for model building and calibration to support the decision-making process in flood risk management are often not sufficient or unavailable. A potential opportunity is now offered by global remote sensing data, which can be freely (or at low cost) obtained from the internet, for example, Shuttle Radar Topography Mission (SRTM) topography. There is a general sense that inundation modelling performance will be degraded by using SRTM topography data. However, the actual effectiveness and usefulness of SRTM topography is still largely unexplored. To overcome this lack of knowledge, we have explored the value of SRTM topography to support flood inundation modelling under uncertainty. The study was performed on a 98 km reach of the River Po in northern Italy. The comparison between a hydraulic model based on high-quality topography and one based on SRTM topography was carried out by explicitly considering other sources of uncertainty (besides topography inaccuracy) that unavoidably affect hydraulic modelling, such as parameter and inflow uncertainties. The results of this study showed that the differences between the high-resolution topography-based model and the SRTM-based model are significant, but within the accuracy that is typically associated with large-scale flood studies.
DOI：
10.1080/02626661003683389
发表时间：
2010-01-01
期刊：
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
影响因子：
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作者：
Di Baldassarre, Giuliano;Schumann, Guy;Beven, Keith J.
通讯作者：
Beven, Keith J.