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Investigation of Attributes for Identifying Homogeneous Flood Regions for Regional Flood Frequency Analysis in Canada
Water ( IF 3.4 ) Pub Date : 2020-09-15 , DOI: 10.3390/w12092570
Ziyang Zhang , Tricia A. Stadnyk

The identification of homogeneous flood regions is essential for regional flood frequency analysis. Despite the type of regionalization framework considered (e.g., region of influence or hierarchical clustering), selecting flood-related attributes to reflect flood generating mechanisms is required to discriminate flood regimes among catchments. To understand how different attributes perform across Canada for identifying homogeneous regions, this study examines five distinctive attributes (i.e., geographical proximity, flood seasonality, physiographic variables, monthly precipitation pattern, and monthly temperature pattern) for their ability to identify homogeneous regions at 186 gauging sites with their annual maximum flow data. We propose a novel region revision procedure to complement the well-known region of influence and L-Moments techniques that automates the identification of homogeneous regions across continental domains. Results are presented spatially for Canada to assess patterning of homogeneous regions. Memberships of two selected regions are investigated to provide insight into membership characteristics. Sites in eastern Canada are highly likely to identify homogeneous flood regions, while the western prairie and mountainous regions are not. Overall, it is revealed that the success of identifying homogeneous regions depends on local hydrological complexities, whether the considered attribute(s) reflect primary flooding mechanism(s), and on whether catchment sites are clustered in a small geographic region. Formation of effective pooling groups affords the extension of record lengths across the Canadian domain (where gauges typically have <50 years of record), facilitating more comprehensive analysis of higher return period flood needs for climate change assessment.

中文翻译:

加拿大区域洪水频率分析中识别同质洪水区的属性调查

识别均质洪水区对于区域洪水频率分析至关重要。尽管考虑了区域化框架的类型(例如,影响区域或层次聚类),但需要选择与洪水相关的属性来反映洪水生成机制,以区分流域之间的洪水状况。为了了解加拿大不同属性在识别同质区域方面的表现,本研究检查了五个不同属性(即地理邻近性、洪水季节性、自然地貌变量、月降水模式和月温度模式),以识别它们在 186 测量时识别同质区域的能力站点及其年度最大流量数据。我们提出了一种新的区域修订程序,以补充众所周知的影响区域和 L 矩技术,该技术可自动识别跨大陆域的同质区域。结果在空间上呈现给加拿大,以评估同质区域的模式。调查了两个选定区域的成员资格,以深入了解成员资格特征。加拿大东部的站点极有可能识别出同质洪水区,而西部草原和山区则不然。总体而言,结果表明,识别同质区域的成功取决于当地水文的复杂性,所考虑的属性是否反映了主要的洪水机制,以及集水区是否聚集在一个小的地理区域内。
更新日期:2020-09-15
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