DEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa
DEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa
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DOI：
10.1061/(asce)he.1943-5584.0001272
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发表时间：
2016-02-01
影响因子：
2.4
通讯作者：
Fiorentino, Mauro
中科院分区：
文献类型：
--
作者：
Samela, Caterina;Manfreda, Salvatore;Fiorentino, Mauro
在目前的工作中，洪水灾害风险在非洲的一个无资料流域评估利用盆地形态特征。洪水易发区确定使用线性二进制分类器的基础上提取的数字高程模型（DEM）的地貌描述符。分类器进行单独校准和评估，通过比较他们的输出与洪水淹没图获得的二维（2D）水力模拟和使用接收器工作特性（ROC）曲线作为性能指标。对于阿迪斯（埃塞俄比亚）附近的Bulbula河子集水区，性能最好的描述符是被检查位置与最近排水网络之间的高程差H，以及将河流网络最近点的水位估计值与被检查点与河流之间的高程差进行比较的综合指数ln [h（r）/ H]。这些简单的程序可以扩展洪水划定与水力模型在整个流域。该研究强调了在未测量的流域和大面积地区检测洪水易发区的潜力。(C)2015年美国土木工程师协会。
In the present work, the flood hazard exposure in an ungauged basin in Africa is assessed exploiting the basin morphological characteristics. Flood-prone areas are identified using linear binary classifiers based on several geomorphic descriptors extracted from digital elevation models (DEMs). The classifiers are calibrated individually and evaluated by comparing their outputs with a flood inundation map obtained by two-dimensional (2D) hydraulic simulations and using receiver operating characteristics (ROC) curves as performance measures. The best-performing descriptors for the subcatchment of the Bulbula River, near the city of Addis Ababa (Ethiopia), are the elevation difference, H between the location under exam and the nearest drainage network, and the composite index ln [h(r)/ H] that compares an estimate of the water level in the nearest point of the river network to the difference in elevation between the point under exam and the river. These simple procedures allow extending the flood delineation derived with the hydraulic model over the entire river basin. The study highlights the potential for the detection of flood-prone areas over ungauged basins and large areas. (C) 2015 American Society of Civil Engineers.