Landslides of China's Qinling

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Liye Feng, Chong Xu, Yingying Tian, Lei Li, Jingjing Sun, Yuandong Huang, Peng Wang, Xuewei Zhang, Tao Li, Wentao Yang, Siyuan Ma, Xiaoyi Shao, Jixiang Xu, Jingyu Chen
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Abstract

The Qinling Mountains in China frequently experience geological disasters, with large-scale landslides being particularly prominent, causing severe economic losses to the local area. To gain a comprehensive understanding of the geological disaters distribution in the region, we conducted extensive research on the entire Qinling Mountains, covering an area of approximately 380,000 km2. By employing methods such as literature review, data collection, and interpretation of remote sensing images, we have successfully created a database of landslides. The inventory of landslides includes a total of 169,888 large-scale landslides, covering a combined area of approximately 1575 km2. The average size of these landslides is approximately 92,734 m2. The scale of these landslides varies widely, with the smallest individual landslide covering an area of 166.25 m2 and the largest reaching 12.9 km2. Upon examining areas with frequent landslides, it was observed that landslides are usually densely distributed along riverbanks or within valleys. Landslide development is also dense in areas prone to frequent historical earthquakes. This comprehensive database provides essential data to support the analysis of spatial distribution patterns of large-scale landslides in the Qinling Mountains. It also facilitates landslide assessments and serves as a reference for the prevention and control of landslide disasters in the area.

Abstract Image

中国秦岭的滑坡
中国秦岭地区地质灾害频发,其中尤以大型滑坡最为突出,给当地造成了严重的经济损失。为了全面了解该地区的地质灾害分布情况,我们对整个秦岭地区(面积约 38 万平方公里)进行了广泛的研究。通过文献查阅、数据收集和遥感图像判读等方法,我们成功建立了滑坡数据库。该滑坡数据库共包括 169888 个大型滑坡,总面积约为 1575 平方公里。这些滑坡的平均面积约为 92,734 平方米。这些滑坡的规模差异很大,最小的单个滑坡面积为 166.25 平方米,最大的滑坡面积达 12.9 平方公里。在对滑坡频繁的地区进行考察后发现,滑坡通常密集分布在河岸或山谷内。在历史上地震频发的地区,滑坡发育也很密集。该综合数据库为分析秦岭大型滑坡的空间分布模式提供了重要数据支持。同时,该数据库还有助于开展滑坡评估,为该地区滑坡灾害的防治提供参考。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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