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Multidisciplinary classification of Canadian river reaches to support the sustainable management of freshwater systems

机译:加拿大河流的多学科分类,以支持淡水系统的可持续管理

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摘要

Climate change is altering the hydrology of Canadian rivers to an unprecedented degree. Consequently, sustainable freshwater management practices need to adapt, which include the development of integrated water resource strategies and environmental flow recommendations. A particular challenge arises for these assessments due to the highly diverse nature of river ecosystems across Canada. This diversity can be addressed by using a classification system to create manageable spatial units. Building upon and adapting the results of a global river reach classification scheme, we present a multidisciplinary K-means clustering approach to categorize all river reaches of Canada into 23 types at fine spatial resolution. The typology is based on classifier variables related to hydrology, mostly derived from modelled long-term means of monthly discharges, physiography, climate, and fluvial geomorphology. Resulting maps provide baseline information for rivers of all size classes, from small headwater streams to very large rivers, across the entire country, including unmonitored regions such as the High Arctic. The classification system also points to some strategic expansion opportunities for the current Canadian monitoring network of river gauging stations.
机译:气候变化正在改变加拿大河流水文到前所未有的程度。因此,可持续的淡水管理实践需要适应,包括发展综合水资源战略和环境流量建议。由于加拿大河流生态系统的高度多样化本质,这些评估产生了特殊的挑战。可以通过使用分类系统来创建可管理的空间单元来解决这种多样性。建立并调整全球河达累分类方案的结果,我们提出了一种多学科K-Means聚类方法,将加拿大的所有河流分为23种,以精细的空间分辨率。 Typology基于与水文相关的分类变量,主要来自每月排放,地质,气候和河流地貌的建模的长期手段。结果地图为所有尺寸类的河流提供基线信息,从小河流到非常大的河流,在整个国家/地区,包括未监管的区域,如高北极地区。分类系统还指出了当前加拿大河流监测网络的一些战略拓展机会。

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