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The Case for an Open Water Balance: Re-envisioning Network Design and Data Analysis for a Complex, Uncertain World

机译:开放水平衡的案例:重新设想网络设计和数据分析,为复杂,不确定的世界

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摘要

The discipline of hydrology has long focused on quantifying the water balance, which is frequently used to estimate unknown water fluxes or stores. While technologies for measuring water balance components continue to improve, all components of the balance have substantial uncertainty at the watershed scale. Watershed-scale evapotranspiration, storage, and groundwater import or export are particularly difficult to measure. Given these uncertainties, analyses based on assumed water balance closure are highly sensitive to uncertainty propagation and errors of omission, where unknown components are assumed negligible. This commentary examines how greater insight may be gained in some cases by keeping the water balance open rather than applying methods that impose water balance closure. An open water balance can facilitate identifying where unknowns such as groundwater import/export are affecting watershed-scale streamflow. Strategic improvements in monitoring networks can help reduce uncertainties in observable variables and improve our ability to quantify unknown parts of the water balance. Improvements may include greater spatial overlap between measurements of water balance components through coordination between entities responsible for monitoring precipitation, snow, evapotranspiration, groundwater, and streamflow. Measuring quasi-replicate watersheds can help characterize the range of variability in the water balance, and nested measurements within watersheds can reveal areas of net groundwater import or export. Well-planned monitoring networks can facilitate progress on critical hydrologic questions about how much water becomes evapotranspiration, how groundwater interacts with surface watersheds at varying spatial and temporal scales, how much humans have altered the water cycle, and how streamflow will respond to future climate change.
机译:水文学科长期以来一直专注于量化水平衡,经常用于估计未知的水通量或商店。虽然用于测量水平衡分量的技术继续改善,但平衡的所有组成部分都具有实质性的流域规模的不确定性。流域水垢蒸散,储存和地下水进口或出口特别难以衡量。鉴于这些不确定性,基于假定的水平闭合的分析对不确定的传播和遗漏误差非常敏感,其中假设未知的组件可以忽略不计。该评论通过将水平打开而不是施加水平闭合的方法,检查某些情况下可能在某些情况下获得更大的洞察力。开放式水平可以促进识别地下水进口/导出等未知数,从而影响流域级流流。监控网络的战略改进有助于减少可观察变量的不确定性,并提高我们量化水平未知部分的能力。通过负责监测沉淀,雪,蒸散蒸腾,地下水和流出的实体之间的协调,改善可以包括水平衡分量的测量之间的更大的空间重叠。测量准复制流域可以帮助表征水平的可变性范围,流域内的嵌套测量可以揭示净地下水进出口区域。规划良好的监测网络可以促进关于蒸发量蒸腾的关键水文问题的进展,地下水在不同的空间和时间尺度上与表面流域相互作用,人类改变了水循环的程度,以及流出流动将如何应对未来的气候变化。

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  • 来源
    《Water resources research》 |2020年第6期|e2019WR026699.1-e2019WR026699.19|共19页
  • 作者单位

    Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA;

    Univ Washington Dept Civil & Environm Engn Seattle WA 98195 USA;

    US Geol Survey MD DE DC Water Sci Ctr Maryland DE USA;

    Colorado State Univ Dept Civil & Environm Engn Ft Collins CO 80523 USA;

    Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA;

    Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA;

    Univ Hawaii Manoa Dept Civil & Environm Engn Honolulu HI 96822 USA;

    Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA;

    TCarta Marine LLC Denver CO USA;

    Colorado State Univ Nat Resources Ecol Lab Ft Collins CO 80523 USA;

    Colorado State Univ Dept Geosci Ft Collins CO 80523 USA;

    Colorado State Univ Dept Ecosyst Sci & Sustainabil Ft Collins CO 80523 USA;

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  • 正文语种 eng
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