کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8894846 1629894 2018 75 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessing the seasonality and uncertainty in evapotranspiration partitioning using a tracer-aided model
ترجمه فارسی عنوان
ارزیابی فصلی بودن و عدم اطمینان در تقسیم تبخیر-تعرق با استفاده از یک مدل ردیابی کمک می
کلمات کلیدی
مدل سازی با کمک ردیاب، جداسازی تبخیر تعرق، ایزوتوپهای آب پایدار، کمبود داده، حوضه های فصلی،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 560, May 2018, Pages 595-613
نویسندگان
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