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Assessing the seasonality and uncertainty in evapotranspiration partitioning using a tracer-aided model
Journal of Hydrology ( IF 6.4 ) Pub Date : 2018-05-01 , DOI: 10.1016/j.jhydrol.2018.03.036
A.A. Smith , C. Welch , T.A. Stadnyk

Abstract Evapotranspiration (ET) partitioning is a growing field of research in hydrology due to the significant fraction of watershed water loss it represents. The use of tracer-aided models has improved understanding of watershed processes, and has significant potential for identifying time-variable partitioning of evaporation (E) from ET. A tracer-aided model was used to establish a time-series of E/ET using differences in riverine δ18O and δ2H in four northern Canadian watersheds (lower Nelson River, Manitoba, Canada). On average E/ET follows a parabolic trend ranging from 0.7 in the spring and autumn to 0.15 (three watersheds) and 0.5 (fourth watershed) during the summer growing season. In the fourth watershed wetlands and shrubs dominate land cover. During the summer, E/ET ratios are highest in wetlands for three watersheds (10% higher than unsaturated soil storage), while lowest for the fourth watershed (20% lower than unsaturated soil storage). Uncertainty of the ET partition parameters is strongly influenced by storage volumes, with large storage volumes increasing partition uncertainty. In addition, higher simulated soil moisture increases estimated E/ET. Although unsaturated soil storage accounts for larger surface areas in these watersheds than wetlands, riverine isotopic composition is more strongly affected by E from wetlands. Comparisons of E/ET to measurement-intensive studies in similar ecoregions indicate that the methodology proposed here adequately partitions ET.

中文翻译:

使用示踪辅助模型评估蒸散分区的季节性和不确定性

摘要 蒸散 (ET) 分配是水文学中一个不断发展的研究领域,因为它代表了流域水损失的很大一部分。示踪辅助模型的使用提高了对流域过程的理解,并具有识别来自 ET 的蒸发 (E) 时变分区的巨大潜力。使用示踪剂辅助模型,利用加拿大北部四个流域(纳尔逊河下游,加拿大曼尼托巴省)中河流 δ18O 和 δ2H 的差异,建立 E/ET 时间序列。平均而言,E/ET 遵循抛物线趋势,范围从春季和秋季的 0.7 到夏季生长季节的 0.15(三个流域)和 0.5(第四个流域)。在第四流域,湿地和灌木占主导地位。在夏季,三个流域的湿地 E/ET 比率最高(比非饱和土壤存储量高 10%),而第四个流域最低(比非饱和土壤存储量低 20%)。ET 分区参数的不确定性受存储卷的强烈影响,大存储卷增加了分区的不确定性。此外,较高的模拟土壤湿度会增加估计的 E/ET。尽管这些流域中非饱和土壤储存的表面积比湿地更大,但河流同位素组成受湿地 E 的影响更大。E/ET 与类似生态区中测量密集型研究的比较表明,这里提出的方法充分划分了 ET。ET 分区参数的不确定性受到存储卷的强烈影响,大存储卷增加了分区的不确定性。此外,较高的模拟土壤湿度会增加估计的 E/ET。尽管这些流域中非饱和土壤储存的表面积比湿地更大,但河流同位素组成受湿地 E 的影响更大。E/ET 与类似生态区中测量密集型研究的比较表明,这里提出的方法充分划分了 ET。ET 分区参数的不确定性受到存储卷的强烈影响,大存储卷增加了分区的不确定性。此外,较高的模拟土壤湿度会增加估计的 E/ET。尽管这些流域中非饱和土壤储存的表面积比湿地更大,但河流同位素组成受湿地 E 的影响更大。E/ET 与类似生态区中测量密集型研究的比较表明,这里提出的方法充分划分了 ET。河流同位素组成受湿地 E 的影响更大。E/ET 与类似生态区中测量密集型研究的比较表明,这里提出的方法充分划分了 ET。河流同位素组成受湿地 E 的影响更大。E/ET 与类似生态区中测量密集型研究的比较表明,这里提出的方法充分划分了 ET。
更新日期:2018-05-01
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