雪崩营养评价方法(以天山三条冰川为例)

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
A. Turchaninova, A. Lazarev, E. Marchenko, Y. Seliverstov, S. Sokratov, D. Petrakov, M. Barandun, R. Kenzhebaev, T. Saks
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引用次数: 4

摘要

雪崩对冰川季节性积雪的贡献是冰川质量平衡中研究最少的组成部分之一。雪崩积累的数值评估方法仍在发展中,这与雪崩数据的可获得性差以及大多数山地冰川难以获得雪崩数据有关。本文提出了一种基于DEM和天气数据分析的雪崩对高山冰川积雪贡献的数值评估方法,该方法使用GIS和雪崩数值模拟。开发的方法包括以下步骤:地形分析;天气资料分析;分析平衡年的雪崩量评估基于RAMMS的雪崩数值模拟;评价雪崩对冰川积累的贡献。所提出的方法在2015/16平衡年度在位于内天山的三个冰川上进行了测试:Batysh Sook,№354和Karabatkak。为了评价积雪对季节积累的贡献,我们重建了2015/16平衡年最可能活跃的雪崩释放区,以及每个区域对应的积雪破裂高度。利用雪崩动力学软件RAMMS对2015/16年冬季最可能释放的雪崩进行了数值模拟,并与2016年7月的野外观测和无人机正射影像图进行了比较。根据野外观测结果,利用RAMMS对雪崩沉积物轮廓进行了较为逼真的再现。在2015/16平衡年期间,雪崩对研究冰川累积的贡献份额估计为:Batysh Sook - 7.4±2.5%;№354 - 2,2±0,7;卡拉巴特卡- 10.8±3.6%的总积累。下一步将是在其他山区根据来自内天山的数据和区域依赖性测试所提出的方法。这种方法适用于有dem、定期气象观测和区域雪崩形成因子数据的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods of snow avalanche nourishment assessment (on the example of three Tian Shan glaciers)
The contribution of snow avalanches to the seasonal snow accumulation on a glacier is among the least studied components of the glacier’s mass balance. The methods for the numerical assessment of avalanche accumulation are still under development, which is related to poor avalanche data availability and difficulties in obtaining such data on most of mountain glaciers. We propose a possible methodology for the numerical assessment of snow avalanche contribution to snow accumulation at mountain glaciers based on DEM and weather data analysis using GIS and numerical modeling of snow avalanches. The developed methodology consists of the following steps: terrain analysis; weather data analysis; snow avalanche volume assessment during an analyzed balance year; numerical simulation of snow avalanches using RAMMS; evaluation of snow avalanches contribution into a glacier accumulation. The proposed methodology was tested on three glaciers located in the Inner Tien Shan: Batysh Sook, № 354 and Karabatkak during the 2015/16 balance year. To evaluate snow avalanche contribution to the seasonal accumulation, we reconstructed avalanche release zones that were most probably active during the 2015/16 balance year and corresponding snow fracture height in each of these zones. The numerical simulations of most probable released snow avalanches during the winter period 2015/16 using avalanche dynamics software RAMMS were performed and compared with the field observations and UAV orthophoto image from July 2016. The outlines of avalanches deposits were realistically reproduced by RAMMS according to the results of field observation. The estimated share of snow avalanche contribution to the accumulation on the research glaciers during the 2015/16 balance year turned out to be: Batysh Sook – 7,4±2,5%; № 354 – 2,2±0,7%; Karabatkak – 10,8±3,6% of the total accumulation. The next step would be to test the proposed methodology based on the data and regional dependences from the Inner Tien Shan in other mountainous regions. This methodology is applicable in the regions where DEMs, regular meteorological observations as well as data on the regional avalanche formation factors are available.
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来源期刊
Led i Sneg-Ice and Snow
Led i Sneg-Ice and Snow GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.50
自引率
42.90%
发文量
11
审稿时长
8 weeks
期刊介绍: The journal was established with the aim of publishing new research results of the Earth cryosphere. Results of works in physics, mechanics, geophysics, and geochemistry of snow and ice are published here together with geographical aspects of the snow-ice phenomena occurrence in their interaction with other components of the environment. The challenge was to discuss the latest results of investigations carried out on Russia’s territory and works performed by Russian investigators together with foreign colleagues. Editorial board works in collaboration with Glaciological Association that is professional community of specialists in glaciology from all republics of the Former Soviet Union which are now new independent states. The journal serves as a platform for the presentation and discussion of new discoveries and results which help to elucidate the state of the Earth’s cryosphere and the characteristics of the evolution of the snow-ice processes and phenomena under the current conditions of rapid climate change.
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