登录查看更多内容

How can remote sensing data improve slope stability analysis?

由人工智能和领英社区提供技术支持

Slope stability analysis is a crucial task for structural engineers who design and monitor infrastructure projects on steep or unstable terrain. However, traditional methods of slope stability analysis, such as field surveys, boreholes, and laboratory tests, can be costly, time-consuming, and risky. Remote sensing data, such as satellite imagery, aerial photography, and radar interferometry, can offer a valuable alternative or complement to these methods. Remote sensing data can provide high-resolution, spatially extensive, and temporally frequent information on the topography, vegetation, soil properties, and deformation patterns of slopes. In this article, we will explore how remote sensing data can improve slope stability analysis in four aspects: hazard identification, factor of safety calculation, failure mechanism analysis, and risk assessment.

此文章中的业界达人

由社区从 1 条内容中精选。了解更多

Subrata Das, FIE

Chartered Engineer I Professor of Practice I Advisor I Hydropower I PSP I Water I Tunnel I Cavern I Dam

1 Hazard identification

Remote sensing data can help structural engineers identify potential slope hazards, such as landslides, rockfalls, erosion, and subsidence. By comparing multi-temporal remote sensing images, engineers can detect changes in slope morphology, surface features, and vegetation cover that indicate slope instability. For example, satellite images can reveal landslide scars, cracks, bulges, and vegetation anomalies that suggest slope movement. Aerial photographs can show more detailed features, such as rock joints, faults, and fractures that affect slope stability. Radar interferometry can measure surface displacement and velocity with millimeter accuracy, which can indicate pre-failure or post-failure deformation.

添加您的观点

Subrata Das, FIE

Chartered Engineer I Professor of Practice I Advisor I Hydropower I PSP I Water I Tunnel I Cavern I Dam
举报内容
Remote sensing enhances slope stability analysis by 1.Identifying slope features, monitoring land cover changes detecting surface movements, 2.Quantifying terrain parameters, 3.assessing rainfall patterns 4.Integrating with GIS for detailed spatial analysis. One of the example is landslide failure of Right Bank of Dam Site of Punatsangchhu Hydroelectric Power Project -I in BHUTAN. InSAR technique done later showed that the entire Right Bank was a slide prone zone which showed movement even before the start of the project. Had these technique been done during feasibility stage, the Dam location could have been selected at a stable Zone.

已翻译

赞

2 Factor of safety calculation

Remote sensing data can also help structural engineers calculate the factor of safety (FOS) of slopes, which is the ratio of the resisting forces to the driving forces on a slope. The FOS reflects the stability of a slope and can be influenced by many factors, such as slope geometry, soil properties, groundwater level, and external loads. Remote sensing data can provide information on some of these factors, such as slope angle, slope height, soil type, soil moisture, and vegetation density. For example, satellite images can be used to derive digital elevation models (DEMs) that show the slope geometry and aspect. Aerial photographs can be used to classify soil types and estimate soil moisture based on color and texture. Radar interferometry can be used to monitor groundwater level changes based on surface deformation.

添加您的观点

3 Failure mechanism analysis

Remote sensing data can also help structural engineers analyze the failure mechanism of slopes, which is the process and mode of slope failure. The failure mechanism can be influenced by the stress distribution, strain localization, and rupture propagation on a slope. Remote sensing data can provide information on some of these aspects, such as stress orientation, strain rate, and rupture length. For example, satellite images can be used to identify the direction and magnitude of slope stress based on the orientation and shape of landslides. Aerial photographs can be used to measure the strain rate of slopes based on the displacement and deformation of surface features. Radar interferometry can be used to track the rupture propagation of slopes based on the spatial and temporal evolution of surface displacement.

添加您的观点

4 Risk assessment

Remote sensing data can also help structural engineers assess the risk of slope failure, which is the combination of the probability and consequence of slope failure. The risk assessment can help engineers prioritize the mitigation and management of slope hazards. Remote sensing data can provide information on both the probability and consequence of slope failure, such as the frequency, magnitude, and impact of slope failure. For example, satellite images can be used to estimate the frequency of slope failure based on the historical record and recurrence interval of landslides. Aerial photographs can be used to estimate the magnitude of slope failure based on the volume and area of landslide deposits. Radar interferometry can be used to estimate the impact of slope failure based on the displacement and damage of infrastructure and buildings.

添加您的观点

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Structural Engineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can remote sensing data improve slope stability analysis?

1

2

3

4

5

1 Hazard identification

2 Factor of safety calculation

3 Failure mechanism analysis

4 Risk assessment

5 Here’s what else to consider

Structural Engineering

给文章评分

感谢您的反馈

更多Structural Engineering相关文章

更多相关阅读内容

How can remote sensing data improve slope stability analysis?

1

2

3

4

5

1 Hazard identification

2 Factor of safety calculation

3 Failure mechanism analysis

4 Risk assessment

5 Here’s what else to consider

Structural Engineering

给文章评分

感谢您的反馈

查看其他技能