Multitemporal landslide inventory and susceptibility map for the Arun River Basin, Nepal

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Pukar Amatya, Robert Emberson, Dalia Kirschbaum
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引用次数: 0

Abstract

The transboundary Arun River Basin (ARB) spreads across Nepal and Tibet. Nearly 95% of the basin lies in Tibet through which the Pumqu River flows, forming the Arun River once it enters Nepal. The ARB has five large hydropower projects undergoing construction or planned for the future. Rainfall and earthquake-induced landslides, landslide-dammed lakes and landslide-induced glacial lake outburst floods pose major risks to smooth operation of these projects. To safeguard upcoming hydropower projects, areas susceptible to landslides in the ARB must be identified. We used high-resolution satellite imagery and open-source tools to generate a multitemporal landslide inventory for the basin. The rigorously quality-controlled inventory represents a yearly record of landslides from 2011 to 2020. A data-driven approach was used to map areas susceptible to landslides within the ARB. The multitemporal landslide inventory combined with other readily available Earth observation-based variables was used to create a landslide susceptibility map. The susceptibility analysis provides a valuable initial estimate of where landslides are likely to initiate. These landslide products could form the basis of more comprehensive local studies to inform hydropower project development.

Abstract Image

Abstract Image

尼泊尔阿伦河流域多时滑坡清单和易发性地图
跨境阿伦河流域(ARB)横跨尼泊尔和西藏。近 95% 的流域位于西藏,普姆曲河流经西藏,进入尼泊尔后形成阿伦河。阿伦河流域有五个大型水力发电项目正在建设或计划建设中。降雨和地震引发的山体滑坡、山体滑坡堰塞湖和山体滑坡引发的冰湖溃决洪水对这些项目的顺利运行构成重大风险。为了保障即将实施的水电项目,必须确定 ARB 中易发生滑坡的区域。我们利用高分辨率卫星图像和开源工具生成了该流域的多时空滑坡清单。这份经过严格质量控制的清单记录了从 2011 年到 2020 年每年的滑坡情况。采用数据驱动的方法绘制了 ARB 中易发生滑坡的区域。多时滑坡清单与其他随时可用的基于地球观测的变量相结合,用于绘制滑坡易发区地图。滑坡易发性分析为初步估计滑坡可能发生的地点提供了宝贵的依据。这些滑坡产品可作为更全面的地方研究的基础,为水电项目开发提供信息。
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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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