A study on hidden risks of glacial lake outburst floods based on relief amplitude: A case study of eastern Shishapangma

doi:10.6046/zrzyyg.2021065

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Abstract

As an important indicator reflecting the geological sensitivity of slopes, relief amplitude is significant for assessing hidden risks of glacial lake outburst floods. This study obtained information on the current status of glacial lakes in the glacial lake concentrated area in the eastern Shishapangma, southern Tibet through interpretation of the GF-2 and ASTER GDEM V3 data on a scale of 1∶50 000. The feature extraction of relief amplitude was conducted using the mean change point method. Then, this study conducted a correlation analysis, achieving the hidden risk rating of glacial lake outburst floods. The results are as follows: ① On a scale of 1∶50 000, the optimal sampling unit of relief amplitude is 21×21 (0.39 km²). ② The relief amplitude characteristics of glacial lakes include the single, combined, and cross-level types, of the which the risk grade increases successively. ③ Among 1 020 glacial lakes in the study area, the number of glacial lakes with low-, medium-, and high-grade hidden risks of outburst floods accounts for 97.35%, 1.77%, and 0.88%, respectively. This study revealed the practical significance of relief amplitude as an assessment index for the hidden risks of glacial lake outburst floods. Furthermore, this study can provide theoretical references for related studies of similar areas.

Keywords remote sensing (RS) relief amplitude mean change point method Shishapangma hidden risks of glacial lake outburst floods

ZTFLH:

P694

Corresponding Authors: TONG Liqiang E-mail: hepeng@mail.cgs.gov.cn;tlqhx@outlook.com

Issue Date: 14 March 2022

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	Peng HE
	Liqiang TONG
	Zhaocheng GUO
	Jienan TU
	Genhou WANG

Cite this article:

Peng HE,Liqiang TONG,Zhaocheng GUO, et al. A study on hidden risks of glacial lake outburst floods based on relief amplitude: A case study of eastern Shishapangma[J]. Remote Sensing for Natural Resources, 2022, 34(1): 257-264.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021065 OR https://www.gtzyyg.com/EN/Y2022/V34/I1/257

Fig.1 Remote sensing image of study area

Tab.1 Setting of the window scale of terrain relief analysis

Fig.2 Fitting curve of window size and relief amplitude

$j$	$S j$	$S - S j$	$j$	$S j$	$S - S j$	$j$	$S j$	$S - S j$
2	29.02	7.24	7	12.37	23.89	12	10.65	25.61
3	23.23	13.03	8	11.37	24.89	13	10.94	25.32
4	18.95	17.31	9	10.73	25.52	14	11.54	24.72
5	15.90	20.36	10	10.40	25.86	15	12.32	23.94
6	13.67	22.59	11	10.58	25.68	16	13.15	23.11

Tab.2 Statistics results of mean change point

Fig.3 Variation trend of $S$ - $S j$ value

Fig.4 Extraction and classification of ice lake

Fig.5 Grading of relief amplitude in study area

Fig.6 Field photos and overlapping analysis map of typical ice lakes and geographic fluctuations

Tab.3 Results of hidden dangers of ice lake burst

Fig.7 Sketch map of the effect of relief amplitude on geohazard

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