|本期目录/Table of Contents|

[1]王 淞,黄伟亮*,项 闻,等.滑坡粗糙度年代学方法——以甘肃舟曲地区泄流坡和锁儿头滑坡为例[J].地球科学与环境学报,2022,44(06):1037-1047.[doi:10.19814/j.jese.2022.05030]
 WANG Song,HUANG Wei-liang*,XIANG Wen,et al.Landslide Roughness Chronology Method—Taking Xieliupo and Suo'ertou Landslides in Zhouqu Area of Gansu, China as Examples[J].Journal of Earth Sciences and Environment,2022,44(06):1037-1047.[doi:10.19814/j.jese.2022.05030]
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滑坡粗糙度年代学方法——以甘肃舟曲地区泄流坡和锁儿头滑坡为例(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第44卷
期数:
2022年第06期
页码:
1037-1047
栏目:
纪念刘国昌先生诞辰110周年专辑
出版日期:
2022-11-15

文章信息/Info

Title:
Landslide Roughness Chronology Method—Taking Xieliupo and Suo'ertou Landslides in Zhouqu Area of Gansu, China as Examples
文章编号:
1672-6561(2022)06-1037-11
作者:
王 淞黄伟亮*项 闻原浩东
(长安大学 地质工程与测绘学院,陕西 西安 710054)
Author(s):
WANG Song HUANG Wei-liang* XIANG Wen YUAN Hao-dong
(School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China)
关键词:
滑坡 年代学 粗糙度 坡度标准差 二维傅里叶变换 二维小波变换 甘肃
Keywords:
landslide chronology roughness standard deviation of slope 2D discrete Fourier transform 2D continuous wavelet transform Gansu
分类号:
P642.22
DOI:
10.19814/j.jese.2022.05030
文献标志码:
A
摘要:
从具体滑坡年代的确定到整个区域的年表构建是理解滑坡风险的重要工作。近年来,随着高分辨率地表数据的获取更加便利,滑坡的精准识别与测绘等取得了快速发展,但对滑坡年代的研究依然缺乏新的技术手段。基于无人机构建的高精度滑坡数字高程数据,通过对甘肃舟曲地区泄流坡和锁儿头两个巨型滑坡的地表粗糙度分析、放射性年代测定,构建了地表粗糙度与滑坡年代关系曲线,并预测了滑坡年代。结果表明:泄流坡滑坡14C测年结果约为35 000 a B.P.或老于43 500 a B.P.,锁儿头滑坡14C测年结果约为5 300 a B.P.,两个滑坡的年代测定结果差异较大; 而采用坡度标准差(SDS)、二维傅里叶变换(2D DFT)、二维小波变换(2D CWT)等3种算法,构建地表粗糙度与滑坡年代关系曲线,预测泄流坡和锁儿头滑坡年代,发现泄流坡和锁儿头滑坡可能为同期滑坡,表现出地表粗糙度与滑坡年代可建立较为统一的联系。总之,基于滑坡粗糙度年代学方法预测滑坡年代,具有较大的发展空间和科学意义。
Abstract:
From the determination of specific landslide chronology to the construction of a chronology for the whole region is important for understanding landslide risk. With the convenience of high-resolution surface data acquisition in recent years, the accurate identification and mapping of landslides have been developed rapidly, but the study on landslide chronology still lacks new technical means. Based on the construction of high-precision digital elevation data of landslides by unmanned aerial vehicle(UAV), the surface roughness of two giant landslides(Xieliupo and Suo'ertou landslides)in Zhouqu area of Gansu was calculated, the ages were dated by radioactive technology, the surface roughness-age of landslide curve was constructed, and the landslide age was predicted according to the curve. The results show that the 14C dating result of Xieliupo landslide is 35 000 a B.P. or older than 43 500 a B.P., and the 14C dating result of Suo'ertou landslide is about 5 300 a B.P., the dating results are different greatly; the standard deviation of slope(SDS), 2D discrete Fourier transform(2D DFT)and 2D continuous wavelet transform(2D CWT)are used to construct the surface roughness-age of landslide curve, and the ages of Xieliupo and Suo'ertou landslides predicted by the curve may be contemporaneous, showing that a more unified link between surface roughness and landslide chronology can be established. The landslide roughness chronology method predicting the age of landslide, has a large development and scientific significance.

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备注/Memo

备注/Memo:
收稿日期:2022-05-17
基金项目:国家自然科学基金项目(42277152,42041006); 中央高校基本科研业务费专项资金项目(300102262910)
作者简介:王 淞(1999-),男,陕西渭南人,工学硕士研究生,E-mail:876677549@qq.com。
*通讯作者:黄伟亮(1987-),男,陕西渭南人,副教授,理学博士,E-mail:huangweilliang@chd.edu.cn。

更新日期/Last Update: 2022-11-25