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Time variability and uncertainty in the fraction of young water in a small headwater catchment

机译:小型落地集水区分数的时间变异和不确定性

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The time precipitation needs to travel through a catchment to its outlet is an important descriptor of a catchment's susceptibility to pollutant contamination, nutrient loss, and hydrological functioning. The fast component of total water flow can be estimated by the fraction of young water (Fyw), which is the percentage of streamflow younger than 3?months. Fyw is calculated by comparing the amplitudes of sine waves fitted to seasonal precipitation and streamflow tracer signals. This is usually done for the complete tracer time series available, neglecting annual differences in the amplitudes of longer time series. Considering inter-annual amplitude differences, we employed a moving time window of 1 year in weekly time steps over a 4.5-year δ18O tracer time series to calculate 189 Fyw estimates and their uncertainty. They were then tested against the following null hypotheses: (1)?at least 90 % of Fyw results do not deviate more than ±0.04 (4 %) from the mean of all Fyw results, indicating long-term invariance. Larger deviations would indicate changes in the relative contribution of different flow paths; (2)?for any 4-week window, Fyw does not change more than ±0.04, indicating short-term invariance. Larger deviations would indicate a high sensitivity of Fyw to a 1-week to 4-week shift in the start of a 1-year sampling campaign; (3)?the Fyw results of 1-year sampling campaigns started in a given calendar month do not change more than ±0.04, indicating seasonal invariance. In our study, all three null hypotheses were rejected. Thus, the Fyw results were time-variable, showed variability in the chosen sampling time, and had no pronounced seasonality. We furthermore found evidence that the 2015 European heat wave and including two winters into a 1-year sampling campaign increased the uncertainty of Fyw. Based on an increase in Fyw uncertainty when the mean adjusted R2 was below 0.2, we recommend further investigations into the dependence of Fyw and its uncertainty to goodness-of-fit measures. Furthermore, while investigated individual meteorological factors did not sufficiently explain variations of Fyw, the runoff coefficient showed a moderate negative correlation of r=-0.50 with Fyw. The results of this study suggest that care must be taken when comparing Fyw of catchments that were based on different calculation periods and that the influence of extreme events and snow must be considered.
机译:时间降水需要通过集水区传播到其出口是集水区对污染物污染,营养损失和水文功能的易感性的重要描述符。可以通过年轻水(FYW)的一部分来估计总水流量的快速分量,这是小于3个月的流流量的百分比。通过比较适合季节降水和流出示踪信号的正弦波幅度来计算FYW。这通常是为完整的示踪时间序列提供的,忽略较长时间序列幅度的年度差异。考虑到年间幅度差异,我们在每周时间步长为1年的行动时间窗口,超过4.5年Δ18O示踪时间序列,以计算189个FYW估计和其不确定性。然后对其进行测试,以下列:(1)?至少90%的FYW结果不会偏离所有FYW结果的平均值超过±0.04(4%),表明长期不变性。更大的偏差表示不同流动路径的相对贡献的变化; (2)?对于任何4周窗口,FYW不会改变超过±0.04,表明短期不变性。更大的偏差将在一个1年的抽样活动开始时向4周到4周的转变的高度敏感性; (3)?在给定的日历月开始的1年抽样活动的FYW结果不会改变超过±0.04,表明季节性不变性。在我们的研究中,所有三个无效假设都被拒绝了。因此,FYW结果是时变,在所选的采样时间显示可变性,并且没有明显的季节性。我们还发现,2015年欧洲热浪和包括两个冬季进入1年的抽样活动的证据,增加了FYW的不确定性。基于均线调整后的R2低于0.2时,基于FYW不确定性的增加,我们建议进一步调查FYW的依赖性及其对健康措施的不确定性。此外,在调查的单个气象因素没有充分解释FYW的变化的同时,径流系数显示R = -0.50与FYW的中等负相关。本研究的结果表明,在比较基于不同计算期间的流域的影响时必须小心,并且必须考虑极端事件和雪的影响。

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