SGER: Cosmogenic 10-Be inventory of landslide debris in the steep Rio Chagres basin, Panama

SGER：巴拿马陡峭的里约查格雷斯盆地滑坡碎片的宇宙成因 10-Be 清单

• 批准号: 0814244
• 负责人: Kyle Nichols
• 金额: --
• 依托单位: Skidmore College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-15 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0814244&HistoricalAwards=false
• 关键词: SGER; Cosmogenic; 10; inventory; landslide

The project goal is straight forward, to determine if landslides influence the cosmogenic radionuclide (CRN) inventory of grain-sizes in a steep tropical basin. By characterizing the nuclide input of landslide debris the research will determine the importance of landslide sources and develop a mass and nuclide model for basin-wide erosion rates. Specifically, the nuclide inventory of five grain-sizes collected from 1) the landslide debris, 2) integrated depth profiles from the landslide scar and 3) upstream channel sediment will be evaluated. Channel bedrock samples will also be collected to test the nuclide input of local sources for large grains. These data will result in a greater understanding of the processes that contribute sediment to the Rio Chagres and will assist in developing a mass and nuclide balance model to better characterize the basin-wide erosion rates in similar settings.Erosion rates are a major issue for many places. Knowledge of these can help in planning, agricultural applications, and the analysis of flood frequencies. It has been possible for several years to estimate erosion rates from the ditribution of radionuclides that are contained in sediments. However, the concentration of these may depend on source of sediment and the grain sizes, leading to erroneous estimates. This project will evaluate whether the erosion rates in an areas affected by landsliding processes are affected by the size of the material in the sediments. This will lead to better precision in calculating erosion rates in the future.

该项目的目标很简单，就是确定山体滑坡是否影响陡峭热带盆地颗粒尺寸的宇宙放射性核素（CRN）库存。通过表征滑坡碎片的核素输入，该研究将确定滑坡源的重要性，并开发全流域侵蚀率的质量和核素模型。 具体来说，将对从 1) 滑坡碎片、2) 滑坡疤痕的综合深度剖面和 3) 上游河道沉积物中收集的五种粒度的核素清单进行评估。还将收集河道基岩样本，以测试当地大颗粒源的核素输入。这些数据将有助于更好地了解为里约查格雷斯河提供沉积物的过程，并将有助于开发质量和核素平衡模型，以更好地表征类似环境下的全流域侵蚀率。侵蚀率对许多人来说是一个主要问题地方。了解这些知识有助于规划、农业应用和洪水频率分析。多年来，人们已经可以根据沉积物中放射性核素的分布来估计侵蚀率。然而，这些物质的浓度可能取决于沉积物的来源和颗粒大小，从而导致错误的估计。该项目将评估受滑坡过程影响的地区的侵蚀率是否受到沉积物中物质尺寸的影响。这将提高未来计算侵蚀率的精度。