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DOI | 10.5194/tc-10-433-2016 |
Bulk meltwater flow and liquid water content of snowpacks mapped using the electrical self-potential (SP) method | |
Thompson S.S.; Kulessa B.; Essery R.L.H.; Lüthi M.P. | |
发表日期 | 2016 |
ISSN | 19940416 |
卷号 | 10期号:1 |
英文摘要 | Our ability to measure, quantify and assimilate hydrological properties and processes of snow in operational models is disproportionally poor compared to the significance of seasonal snowmelt as a global water resource and major risk factor in flood and avalanche forecasting. We show here that strong electrical self-potential fields are generated in melting in situ snowpacks at Rhone Glacier and Jungfraujoch Glacier, Switzerland. In agreement with theory, the diurnal evolution of self-potential magnitudes (∼60-250 mV) relates to those of bulk meltwater fluxes (0-1.2×10-6 m3 s-1) principally through the permeability and the content, electrical conductivity and pH of liquid water. Previous work revealed that when fresh snow melts, ions are eluted in sequence and electrical conductivity, pH and self-potential data change diagnostically. Our snowpacks had experienced earlier stages of melt, and complementary snow pit measurements revealed that electrical conductivity (∼1-5×10-6 Sm-1) and pH (∼6.5-6.7) as well as permeabilities (respectively ∼9.7×10-5 and ∼4.3×10-5 m2 at Rhone Glacier and Jungfraujoch Glacier) were invariant. This implies, first, that preferential elution of ions was complete and, second, that our self-potential measurements reflect daily changes in liquid water contents. These were calculated to increase within the pendular regime from ∼1 to 5 and ∼3 to 5.5% respectively at Rhone Glacier and Jungfraujoch Glacier, as confirmed by ground truth measurements. We conclude that the electrical self-potential method is a promising snow and firn hydrology sensor owing to its suitability for (1) sensing lateral and vertical liquid water flows directly and minimally invasively, (2) complementing established observational programs through multidimensional spatial mapping of meltwater fluxes or liquid water content and (3) monitoring autonomously at a low cost. Future work should focus on the development of self-potential sensor arrays compatible with existing weather and snow monitoring technology and observational programs, and the integration of self-potential data into analytical frameworks. |
学科领域 | electrical conductivity; flood forecasting; flux measurement; hydrological modeling; mapping; meltwater; monitoring system; self potential; sensor; snow avalanche; snowmelt; snowpack; water content; water flow; water resource; Antarctica; Bern [Switzerland]; East Antarctica; Jungfraujoch; Rhone Glacier [East Antarctica]; Switzerland |
语种 | 英语 |
scopus关键词 | electrical conductivity; flood forecasting; flux measurement; hydrological modeling; mapping; meltwater; monitoring system; self potential; sensor; snow avalanche; snowmelt; snowpack; water content; water flow; water resource; Antarctica; Bern [Switzerland]; East Antarctica; Jungfraujoch; Rhone Glacier [East Antarctica]; Switzerland |
来源期刊 | Cryosphere |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/119699 |
作者单位 | Department of Arctic Geology, University Centre in Svalbard (UNIS), Svalbard, Norway; Department of Geography, College of Science, Swansea University, Swansea, United Kingdom; Institute of Global Change, School of Geosciences, University of Edinburgh, Edinburgh, United Kingdom; Department of Geography, University of Zurich, Zurich, Switzerland; Versuchsanstalt für Wasserbau, Hydrologie und Glaziology (VAW), ETH Zürich, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Thompson S.S.,Kulessa B.,Essery R.L.H.,et al. Bulk meltwater flow and liquid water content of snowpacks mapped using the electrical self-potential (SP) method[J],2016,10(1). |
APA | Thompson S.S.,Kulessa B.,Essery R.L.H.,&Lüthi M.P..(2016).Bulk meltwater flow and liquid water content of snowpacks mapped using the electrical self-potential (SP) method.Cryosphere,10(1). |
MLA | Thompson S.S.,et al."Bulk meltwater flow and liquid water content of snowpacks mapped using the electrical self-potential (SP) method".Cryosphere 10.1(2016). |
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