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首页> 外文期刊>Journal of Hydroinformatics >Automating drainage direction and physiographic inputs to the CEQUEAU hydrological model: sensitivity testing on the lower Saint John River watershed, Canada
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Automating drainage direction and physiographic inputs to the CEQUEAU hydrological model: sensitivity testing on the lower Saint John River watershed, Canada

机译:自动化向CEQUEAU水文模型的排水方向和地形输入:加拿大圣约翰河下游流域的敏感性测试

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摘要

CEQUEAU is a process-based hydrological model capable of simulating river flows and temperatures. Despite an active user base, no facility yet exists for the automatic assembly and input of watershed data required for flow simulations. CEQUEAU can therefore be time-consuming to implement, particularly on large (>= 104 km(2)) watersheds. We detail a new MATLAB toolbox designed to remove this key limitation by automatically computing CEQUEAU's key drainage direction and physiographic inputs from geographic information system (GIS) data. With the toolbox, model implementation can now be achieved extremely quickly (< 1.5 hr) given suitable inputs. This time saving enabled us to assess CEQUEAU's sensitivity to changes in grid size by implementing the model on a large (14,990 km2) watershed at successively decreasing resolution (2.5 km to 112 km), using a fixed calibration parameter set. Results of this analysis showed that despite some model strength fluctuations linked to variability in computed basin size/land-use, only a minor decrease in model strength (mean Nash-Sutcliffe efficiency (NSE) reduction = 0.03) was observed at relatively fine resolutions (2.5 km to 20 km). Although results might change if the model was recalibrated at each resolution step, findings indicate that CEQUEAU is able to provide realistic flow simulations at a wide range of resolutions.
机译:CEQUEAU是一个基于过程的水文模型,能够模拟河流流量和温度。尽管有活跃的用户群,但尚不存在自动组装和输入流模拟所需的分水岭数据的设施。因此,CEQUEAU的实施可能很耗时,尤其是在大型(> = 104 km(2))流域上。我们详细介绍了一个新的MATLAB工具箱,该工具箱旨在通过自动计算CEQUEAU的关键排水方向和来自地理信息系统(GIS)数据的地貌输入来消除此关键限制。使用该工具箱,现在可以在适当的输入下以极快的速度(<1.5小时)实现模型的实现。节省的时间使我们能够通过使用固定的校准参数集在分辨率逐渐降低(2.5 km至112 km)的大型(14,990 km2)流域上实施该模型,来评估CEQUEAU对网格大小变化的敏感性。分析结果表明,尽管模型强度波动与流域面积/土地利用的可变性有关,但在相对较高的分辨率下,只能观察到模型强度的小幅下降(平均Nash-Sutcliffe效率(NSE)降低= 0.03)( 2.5公里到20公里)。尽管如果在每个分辨率步骤中重新校准模型,结果可能会有所变化,但发现表明CEQUEAU能够在各种分辨率下提供逼真的流量模拟。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2017年第4期|469-492|共24页
  • 作者单位

    Univ New Brunswick, Canadian Rivers Inst, Dept Biol, Fredericton, NB, Canada|Univ New Brunswick, Fac Forestry & Environm Management, Fredericton, NB, Canada;

    Univ New Brunswick, Canadian Rivers Inst, Dept Biol, Fredericton, NB, Canada|Univ New Brunswick, Fac Forestry & Environm Management, Fredericton, NB, Canada|Inst Natl Rech Sci, Ctr Eau Terre Environm, Quebec City, PQ, Canada;

    Univ New Brunswick, Canadian Rivers Inst, Dept Biol, Fredericton, NB, Canada|Univ New Brunswick, Fac Forestry & Environm Management, Fredericton, NB, Canada;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CEQUEAU; drainage network analysis; GIS; hydrological model; sensitivity testing;

    机译:CEQUEAU;排水网络分析;GIS;水文模型;敏感性测试;

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