Predicting streamflow distributions and flow duration curves from landscape and climate
Predicting streamflow distributions and flow duration curves from landscape and climate
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DOI：
10.1016/j.advwatres.2015.06.013
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发表时间：
2015-09-01
影响因子：
4.7
通讯作者：
Botter, Gianluca
中科院分区：
文献类型：
--
作者：
Doulatyari, Behnam;Betterle, Andrea;Botter, Gianluca
描述缺乏流量测量的集水区的径流概率分布是一个具有吸引力的前景，对实际和科学应用，特别是水资源管理具有重要意义。本文将基于物理的径流动力学分析模型与水量平衡模型和地貌退缩径流模型相结合，根据流域尺度的气候和地貌特征估算径流概率分布。对所使用的模型进行了描述，并阐述了新的参数化方法。从降雨数据、潜在蒸散量和数字地形图出发，该方法被证明能够相当好地捕获分布在美国落基山脉以东的11个试验流域的观测径流统计数据。该方法为在只知道气候和地貌特征的情况下估计径流的概率分布提供了一种独特的方法。(C)2015爱思唯尔有限公司。保留所有权利。
Characterizing the probability distribution of streamflows in catchments lacking in discharge measurements represents an attractive prospect with consequences for practical and scientific applications, in particular water resources management. In this paper, a physically-based analytic model of streamflow dynamics is combined with a set of water balance models and a geomorphological recession flow model in order to estimate streamflow probability distributions based on catchment-scale climatic and morphologic features. The models used are described and the novel parameterization approach is elaborated on. Starting from rainfall data, potential evapotranspiration and digital terrain maps, the method proved capable of capturing the statistics of observed streamflows reasonably well in 11 test catchments distributed throughout the United States, east of the rocky mountains. The method developed offers a unique approach for estimating probability distribution of streamflows where only climatic and geomorphologic features are known. (C) 2015 Elsevier Ltd. All rights reserved.