当前位置：
X-MOL 学术
›
Earth Surf.Process. Land.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Emergent characteristics of rockfall inventories captured at a regional scale
Earth Surface Processes and Landforms ( IF 2.8 ) Pub Date : 2020-07-28 , DOI: 10.1002/esp.4929 Jessica Benjamin 1 , Nick J. Rosser 1 , Matthew J. Brain 1
Earth Surface Processes and Landforms ( IF 2.8 ) Pub Date : 2020-07-28 , DOI: 10.1002/esp.4929 Jessica Benjamin 1 , Nick J. Rosser 1 , Matthew J. Brain 1
Affiliation
|
High-resolution rockfall inventories captured at a regional scale are scarce. This is partly owing to difficulties in measuring the range of possible rockfall volumes with sufficient accuracy and completeness, and at a scale exceeding the influence of localised controls. This paucity of data restricts our ability to abstract patterns of erosion, identify longterm changes in behaviour and assess how rockfalls respond to changes in rock mass structural and environmental conditions. We have addressed this by developing a workflow that is tailored to monitoring rockfalls and the resulting cliff retreat continuously (in space), in 3D and over large spatial scales (> 10 4 m). We tested our approach by analysing rockfall activity along 20.5 km of coastal cliffs in North Yorkshire (UK), in what we understand to be the first multi-temporal detection of rockfalls at a regional scale. We show that rockfall magnitude-frequency relationships, which often underpin predictive models of erosion, are highly sensitive to the spatial extent of monitoring. Variations in rockfall shape with volume also imply a systemic shift in the underlying mechanisms of detachment with scale, leading us to question the validity of applying a single probabilistic model to the full range of rockfalls observed here. Finally, our data emphasise the importance of cliff retreat as an episodic process. Going forwards, there will a pressing need to understand and model the erosional response of such coastlines to rising global sea levels as well as projected changes to winds, tides, wave climates, precipitation and storm events. The methodologies and data presented here are fundamental to achieving this, marking a step-change in our ability to understand the competing effects of different processes in determining the magnitude and frequency of rockfall activity and ultimately meaning that we are better placed to investigate relationships between process and form/erosion at critical, regional scales.
中文翻译：
在区域范围内捕获的落石库存的紧急特征
在区域范围内捕获的高分辨率落石清单很少。部分原因是难以以足够准确和完整的方式测量可能的落石量范围，并且其规模超出了局部控制的影响。数据的缺乏限制了我们抽象侵蚀模式、识别行为的长期变化以及评估落石如何响应岩体结构和环境条件变化的能力。我们通过开发一个工作流程来解决这个问题，该工作流程专门用于连续（空间）、3D 和大空间尺度（> 10 4 m）监测落石和由此产生的悬崖撤退。我们通过分析北约克郡（英国）20.5 公里海岸悬崖上的落石活动来测试我们的方法，据我们所知，这是首次在区域范围内对落石进行多时间检测。我们表明，通常支持侵蚀预测模型的落石幅度-频率关系对监测的空间范围高度敏感。落石形状随体积的变化也意味着脱离的潜在机制随规模发生系统性变化，导致我们质疑将单一概率模型应用于此处观察到的所有落石范围的有效性。最后，我们的数据强调了悬崖撤退作为一个情节过程的重要性。展望未来，迫切需要了解和模拟这些海岸线对全球海平面上升以及风、潮汐、波浪气候、降水和风暴事件的预测变化的侵蚀反应。
更新日期：2020-07-28
中文翻译：
在区域范围内捕获的落石库存的紧急特征
在区域范围内捕获的高分辨率落石清单很少。部分原因是难以以足够准确和完整的方式测量可能的落石量范围，并且其规模超出了局部控制的影响。数据的缺乏限制了我们抽象侵蚀模式、识别行为的长期变化以及评估落石如何响应岩体结构和环境条件变化的能力。我们通过开发一个工作流程来解决这个问题，该工作流程专门用于连续（空间）、3D 和大空间尺度（> 10 4 m）监测落石和由此产生的悬崖撤退。我们通过分析北约克郡（英国）20.5 公里海岸悬崖上的落石活动来测试我们的方法，据我们所知，这是首次在区域范围内对落石进行多时间检测。我们表明，通常支持侵蚀预测模型的落石幅度-频率关系对监测的空间范围高度敏感。落石形状随体积的变化也意味着脱离的潜在机制随规模发生系统性变化，导致我们质疑将单一概率模型应用于此处观察到的所有落石范围的有效性。最后，我们的数据强调了悬崖撤退作为一个情节过程的重要性。展望未来，迫切需要了解和模拟这些海岸线对全球海平面上升以及风、潮汐、波浪气候、降水和风暴事件的预测变化的侵蚀反应。
京公网安备 11010802027423号