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Regionalisation of Maximum Annual Runoff Using Hierarchical and Trellis Methods with Topographic Information

机译：带有地形信息的分层和网格法最大年径流区域化

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Regional frequency approaches are frequently proposed in order to estimate runoff quantiles for non-gauged catchments. Partitioning methods such as cluster analysis are often applied in order to regionalize catchments using topography, soil and hydroclimatological characteristics. This paper aims to construct a mean regional frequency curve for annual maximum runoffs, using topographic descriptors for cluster analysis. Both trellis and hierarchical classifications partitioning methods are performed using basin area; basin perimeter; characteristic length; global slope index; compaction index; specific gradient slope and geodesic coordinates as attributes. To build the distance measures, various multidimensional spaces are considered with pairs or triplets of attributes. Resulting clusters were checked for hydrological homogeneity using the test of Hosking and Wallis based on L-moments estimates. A sample of 40 Tunisian gauged basins covering a range of areas from 56 to 16483 km2 has been considered to achieve these purposes. The classification and the test of Hosking and Wallis concluded for separating the gauged basins in two hydrological homogeneous regions. Also, the basin global slope index is found as the main discriminating classification factor. Further, regional quantiles of the standardized maximum annual flood (index flood) were estimated using GEV distribution. The two regional curves are distinguishable for extremes events, suggesting that the second region with high slope index displays more variability in the extremes. However, comparisons of RMSE results using two regions against one single pooled region suggest that estimation of standardized quantiles is more accurate in the case of one single region for non extreme events.
机译：经常提出区域频率方法，以估算非集水区的径流分位数。为了利用地形，土壤和水文气候特征对集水区进行分区，通常采用聚类分析等分区方法。本文旨在利用地形描述符进行聚类分析，构建年度最大径流量的平均区域频率曲线。网格和分层分类的划分方法都是使用流域面积进行的。盆周长特征长度全球坡度指数；压实指数特定的坡度和测地坐标作为属性。为了建立距离量度，需要考虑具有属性对或三元组的各种多维空间。使用Hosking和Wallis的检验，基于L矩估算，检查所得簇的水文均匀性。为了达到这些目的，已经考虑对40个突尼斯测井盆地进行采样，覆盖面范围从56到16483 km2。对Hosking和Wallis的分类和测试得出结论，以分离两个水文均质区域中的规范盆地。而且，发现盆地整体坡度指数是主要的判别分类因素。此外，使用GEV分布估算了标准最大年度洪水（指数洪水）的区域分位数。对于极端事件，这两个区域曲线是可区分的，这表明具有高斜率指数的第二个区域在极端事件中显示出更大的可变性。但是，使用两个区域对一个合并区域的RMSE结果的比较表明，对于非极端事件，在一个区域的情况下，标准化分位数的估计更为准确。

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