中亚高山冰川表面高程变化时序重建

doi:10.13866/j.azr.2022.03.02

Abstract

Abstract:

The topography of the alpine glacier area in Central Asia is complex. Satellite laser altimetry technology can be used to monitor large-scale glacier surface elevation change. This study used ICESat laser altimetry data from 2003 to 2009, and shuttle radar topography mission (SRTM) elevation data and Randolph glacier inventory (RGI) 6.0 cataloging data for 2000 to monitor the surface elevation change of alpine glaciers in Central Asia. The glacial region of Central Asia is divided into three regions according to geographical form. First, the data were tested for normality to eliminate error. When a normal distribution was not observed, outlier values from the standard deviation of the linear regression were selected as abnormal. Point cloud denoising and its accuracy optimization algorithm and a multi-scale analysis model of temporal and spatial variation in surface elevation in the glacier area were established. A cubic polynomial model was used to fit the glacier surface elevation data for different scales across the whole area and sub regions of the high Asian mountains. A time series reconstruction of changes in alpine glacier surface elevation in Central Asia was carried out based on the data for each region from 2003. Temporal changes in glacier surface elevation from 2003 to 2009 were analyzed. The results showed that the average elevation for the whole region decreased, with clear regional differences. From 2003 to 2009, the surface elevation of high Asian glaciers decreased by 9.59 ± 1.89 m. The glacier surface elevation in Areas I (i.e., Tibet and southern Qinghai), II (i.e., Xinjiang, Northern Qinghai, and some parts of Gansu), and III (i.e., outside China and some countries in Central Asia) decreased by 6.51 ± 2.9 m, 7.87 ± 5.03 m, and 9.81 ± 5.1 m, respectively. The glacier surface elevation increased from 2004 to 2005. Area I showed the slowest decline in glacier elevation, followed by Area II; Area III showed the fastest decline. This research method has universal application potential for monitoring point cloud elevation in glacier areas. The model evaluation parameter (R²) was >0.98, indicating that the cubic polynomial relationship between ICESat data and SRTM elevation data showed strong universality in this area. However, this will make the point cloud data more sparse, and the model is highly dependent on the benchmark DEM.

Key words: glacier surface elevation, ICESat, satellite laser altimetry, temporal reconstruction, alpine glacier, Central Asia

DU Weibing,ZHANG Shiqiong,LI Junli,BAO Anming,WANG Shuangting,SHI Ningke,XU Linjuan,GAO Xin,MA Dandan,ZHENG Yanchao. Temporal reconstruction of alpine glacier surface elevation variation in Central Asia[J].Arid Zone Research, 2022, 39(3): 676-683.

Figures/Tables 7

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References 22

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Kolmogorov-Smirova检验				Shapiro-Wilk检验
统计	自由度	显著性		统计	自由度	显著性
0.041	1483	0.000		0.983	1483	0.000

年份	整体	Ⅰ区	Ⅱ区	Ⅲ区
2003	0.9951	0.9866	0.9974	0.9916
2004	0.9990	0.9995	0.9994	0.9959
2005	0.9964	0.9924	0.9980	0.9963
2006	0.9987	0.9979	0.9992	0.9975
2007	0.9985	0.9994	0.9997	0.9932
2008	0.9995	0.9988	0.9998	0.9989
2009	0.9999	0.9999	0.9999	0.9998

时段	整体/m	Ⅰ区/m	Ⅱ区/m	Ⅲ区/m
2003—2004年	-5.89±3.76	-5.78±2.13	-3.53±2.99	-4.82±3.31
2004—2005年	6.13±3.91	1.79±1.44	8.13±5.52	1.83±0.52
2005—2006年	-3.78±2.66	-1.12±1.01	-6.71±5.24	-2.02±1.68
2006—2007年	-3.56±2.79	-0.35±0.30	-4.61±3.31	-0.03±1.89
2007—2008年	-1.97±1.04	-0.63±0.60	0.43±0.32	-4±3.53
2008—2009年	-0.52±0.38	-0.42±0.29	-1.58±1.41	-0.77±0.64
2003—2009年	-9.59±1.89	-6.51±2.9	-7.87±5.03	-9.81±5.1

Temporal reconstruction of alpine glacier surface elevation variation in Central Asia

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