Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020650 |
Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach | |
Ala-aho, Pertti1; Tetzlaff, Doerthe1; McNamara, James P.2; Laudon, Hjalmar3; Kormos, Patrick4; Soulsby, Chris1 | |
2017-07-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:7 |
文章类型 | Article |
语种 | 英语 |
国家 | Scotland; USA; Sweden |
英文摘要 | Use of stable water isotopes has become increasingly popular in quantifying water flow paths and travel times in hydrological systems using tracer-aided modeling. In snow-influenced catchments, snowmelt produces a traceable isotopic signal, which differs from original snowfall isotopic composition because of isotopic fractionation in the snowpack. These fractionation processes in snow are relatively well understood, but representing their spatiotemporal variability in tracer-aided studies remains a challenge. We present a novel, parsimonious modeling method to account for the snowpack isotope fractionation and estimate isotope ratios in snowmelt water in a fully spatially distributed manner. Our model introduces two calibration parameters that alone account for the isotopic fractionation caused by sublimation from interception and ground snow storage, and snowmelt fractionation progressively enriching the snowmelt runoff. The isotope routines are linked to a generic process-based snow interception-accumulation-melt model facilitating simulation of spatially distributed snowmelt runoff. We use a synthetic modeling experiment to demonstrate the functionality of the model algorithms in different landscape locations and under different canopy characteristics. We also provide a proof-of-concept model test and successfully reproduce isotopic ratios in snowmelt runoff sampled with snowmelt lysimeters in two long-term experimental catchment with contrasting winter conditions. To our knowledge, the method is the first such tool to allow estimation of the spatially distributed nature of isotopic fractionation in snowpacks and the resulting isotope ratios in snowmelt runoff. The method can thus provide a useful tool for tracer-aided modeling to better understand the integrated nature of flow, mixing, and transport processes in snow-influenced catchments. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407895000035 |
WOS关键词 | STABLE WATER ISOTOPES ; ENERGY-BALANCE ; RUNOFF GENERATION ; GROUNDWATER RECHARGE ; SEASONAL SNOWPACK ; BLOWING-SNOW ; LATERAL FLOW ; CATCHMENT ; FRACTIONATION ; HYDROLOGY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20460 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Aberdeen, Northern Rivers Inst, Sch Geosci, Aberdeen, Scotland; 2.Boise State Univ, Dept Geosci, Boise, ID 83725 USA; 3.Swedish Univ Agr Sci, Dept Forest Ecol & Management, Umea, Sweden; 4.ARS, USDA, Boise, ID USA |
推荐引用方式 GB/T 7714 | Ala-aho, Pertti,Tetzlaff, Doerthe,McNamara, James P.,et al. Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach[J]. WATER RESOURCES RESEARCH,2017,53(7). |
APA | Ala-aho, Pertti,Tetzlaff, Doerthe,McNamara, James P.,Laudon, Hjalmar,Kormos, Patrick,&Soulsby, Chris.(2017).Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach.WATER RESOURCES RESEARCH,53(7). |
MLA | Ala-aho, Pertti,et al."Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach".WATER RESOURCES RESEARCH 53.7(2017). |
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