技术说明:评估一种基于地理信息系统(GIS)的方法,用于确定宇宙射线暴露年代测定中的地形屏蔽因素

IF 2.7 Q2 GEOCHEMISTRY & GEOPHYSICS
F. Hofmann
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引用次数: 3

摘要

摘要宇宙射线暴露法(CRE)对终末冰碛上的巨石定年已经成为一种成熟的冰川年代学重建技术。如果采样点周围存在地形障碍物,则需要对CRE年龄进行地形屏蔽校正。近年来,基于地理信息系统(GIS)的方法已经发展到利用高程数据计算屏蔽系数,特别是ESRI ArcGIS软件的两个工具箱。到目前为止,最新工具箱的输出(Li, 2018)仅通过有限数量的基于现场数据的屏蔽因子进行了验证。此外,还没有系统地评估输入海拔数据的空间分辨率如何影响工具箱的输出,以及植被校正是否会导致相当精确的屏蔽因子。本文通过使用一套广泛的基于现场数据的屏蔽系数来评估工具箱的输出来解决这些问题。测试了不同空间分辨率的常用高程数据作为输入。为了评估不同方法对CRE年龄的影响,首先使用基于gis的屏蔽系数,然后使用基于现场数据的屏蔽系数,重新计算了不同地形和不同生产速率的不同10be浓度的巨石的年龄。对于森林覆盖的低山区和高高山地区的采样点,屏蔽因子与输入高程数据的空间分辨率无关。经过植被校正的地形变化数据可以更精确地计算出森林覆盖的低山区的掩蔽因子。在大多数情况下,重新计算具有不同屏蔽系数的相同采样点的creage会导致年龄在0%到2%之间的变化。只有一个年龄变化了5%。研究表明,使用非常高分辨率的高程数据需要采样点的精度和y坐标,否则采样点附近的小尺度物体将有被误读成成像障碍的风险。总的来说,工具箱为确定屏蔽系数提供了一个有趣的途径。与这里提出的指导方针一起,它应该得到更广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical note: Evaluating a geographical information system (GIS)-based approach for determining topographic shielding factors in cosmic-ray exposure dating
Abstract. Cosmic-ray exposure (CRE) dating of boulders on terminal moraines has become a well-established technique to reconstruct glacier chronologies. If topographic obstructions are present in the surroundings of sampling sites, CRE ages need to be corrected for topographic shielding. In recent years, geographical information system (GIS)-based approaches have been developed to compute shielding factors with elevation data, particularly two toolboxes for the ESRI ArcGIS software. So far, the output of the most recent toolbox (Li, 2018) has only been validated with a limited number of field-data-based shielding factors. Additionally, it has not been systematically evaluated how the spatial resolution of the input elevation data affects the output of the toolbox and whether a correction for vegetation leads to considerably more precise shielding factors. This paper addresses these issues by assessing the output of the toolbox with an extensive set of field-data-based shielding factors. Commonly used elevation data with different spatial resolutions were tested as input. To assess the impact of the different methods on CRE ages, ages of boulders with different 10Be concentrations at sites with varying topography and 10Be production rates were first recalculated with GIS-based shielding factors and then with field-data-based shielding factors. For sampling sites in forested low mountainous areas and in high Alpine settings, the shielding factors were independent of the spatial resolution of the input elevation data. Vegetation-corrected elevation data allowed more precise shielding factors to be computed for sites in a forested low mountainous area. In most cases, recalculating CRE ages of the same sampling sites with different shielding factors led to age shifts between 0 % and 2 %. Only one age changed by 5 %. It is shown that the use of elevation data with a very high resolution requires precise x and y coordinates of sampling sites and that there is otherwise a risk that small-scale objects in the vicinity of sampling sites will be misinterpreted as topographic barriers. Overall, the toolbox provides an interesting avenue for the determination of shielding factors. Together with the guidelines presented here, it should be more widely used.
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来源期刊
Geochronology
Geochronology Earth and Planetary Sciences-Paleontology
CiteScore
6.60
自引率
0.00%
发文量
35
审稿时长
19 weeks
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