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Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada

机译:在加拿大西部主要河流的每周时间步,古水文重建了400年过去流动

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The assumption of stationarity in water resources nolonger holds, particularly within the context of future climate change.Plausible scenarios of flows that fluctuate outside the envelope ofvariability of the gauging data are required to assess the robustness ofwater resource systems to future conditions. This study presents a novelmethod of generating weekly time step flows based on tree-ring chronologydata. Specifically, this method addresses two long-standing challenges withpaleo-reconstruction: (i) the typically limited predictive power oftree-ring data at the annual and sub-annual scale and (ii) the inflatedshort-term persistence in tree-ring time series and improper use ofpre-whitening. Unlike the conventional approach, this method establishesrelationships between tree-ring chronologies and naturalized flow at abiennial scale to preserve persistence properties and variability ofhydrological time series. Biennial flow reconstructions are furtherdisaggregated to weekly flow reconstructions, according to the weekly flow distribution ofreference 2-year instrumental periods, identified as periods with broadlysimilar tree-ring properties to those of every 2-year paleo-period. TheSaskatchewan River basin (SaskRB) in Western Canada is selected as a studyarea, and weekly flows in its four major tributaries are extended back tothe year 1600. The study shows that the reconstructed flows properlypreserve the statistical properties of the reference flows, particularly in terms ofshort- to long-term persistence and the structure of variability across timescales. An ensemble approach is presented to represent the uncertaintyinherent in the statistical relationships and disaggregation method. Theensemble of reconstructed weekly flows are publicly available for downloadfrom https://doi.org/10.20383/101.0139 (Slaughter and Razavi,2019).
机译:在水资源NOLONGER中的实质性的假设特别是在未来的气候变化的背景下。需要在不可行的数据范围内波动的流动的流程,以评估水下资源系统到未来条件的鲁棒性。本研究提出了基于树圈时间级的每周时间步骤流动的新颖性。具体而言,该方法解决了两个长期挑战,与匹配 - 重建:(i)年度和亚年度规模的常规预测电力通常在年度和亚年度规模和(ii)树木时间序列中的充气性和术语持久性不当使用ofpre-whitening。与传统方法不同,该方法在Abiennial规模处于树木时间和归化流动之间的建立关系,以保持持续性能和术语变异性时间序列。根据每周流量分布的每周流动分布,双年度流重建进一步降低到每周流动重建,根据每2年古期间的宽泛纤维树木属性的周期识别。西斯巴斯坦普河流域(Saskrb)在加拿大西部被选为一名学习者,并在其四个主要的支流中的每周流动延伸到1600年。该研究表明,重建的流量适当地是参考流量的统计特性,特别是 - 长期持久性和时间尺度的变异性。提出了一种组合方法来代表统计关系和分解方法中的不确定性。重建的每周流动的主题是公开可用于下载的,从https://doi.org/10.20383/101.0139(屠宰和拉扎维,2019)下载。

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