{"title":"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","authors":"F. Hofmann","doi":"10.5194/gchron-4-691-2022","DOIUrl":null,"url":null,"abstract":"Abstract. Cosmic-ray exposure (CRE) dating of boulders on terminal\nmoraines has become a well-established technique to reconstruct glacier\nchronologies. If topographic obstructions are present in the surroundings of\nsampling sites, CRE ages need to be corrected for topographic shielding. In\nrecent years, geographical information system (GIS)-based approaches have\nbeen developed to compute shielding factors with elevation data,\nparticularly two toolboxes for the ESRI ArcGIS software. So far, the output\nof the most recent toolbox (Li, 2018) has only been validated with a limited\nnumber of field-data-based shielding factors. Additionally, it has not been\nsystematically evaluated how the spatial resolution of the input elevation\ndata affects the output of the toolbox and whether a correction for\nvegetation leads to considerably more precise shielding factors. This paper\naddresses these issues by assessing the output of the toolbox with an\nextensive set of field-data-based shielding factors. Commonly used elevation\ndata with different spatial resolutions were tested as input. To assess the\nimpact of the different methods on CRE ages, ages of boulders with different\n10Be concentrations at sites with varying topography and 10Be\nproduction rates were first recalculated with GIS-based shielding factors and then with field-data-based shielding factors. For sampling sites in forested low mountainous\nareas and in high Alpine settings, the shielding factors were independent of\nthe spatial resolution of the input elevation data. Vegetation-corrected\nelevation data allowed more precise shielding factors to be computed for\nsites in a forested low mountainous area. In most cases, recalculating CRE\nages of the same sampling sites with different shielding factors led to age\nshifts between 0 % and 2 %. Only one age changed by 5 %. It is shown that\nthe use of elevation data with a very high resolution requires precise\nx and y coordinates of sampling sites and that there is otherwise a risk that small-scale\nobjects in the vicinity of sampling sites will be misinterpreted as\ntopographic barriers. Overall, the toolbox provides an interesting avenue\nfor the determination of shielding factors. Together with the guidelines\npresented here, it should be more widely used.\n","PeriodicalId":12723,"journal":{"name":"Geochronology","volume":"84 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Technical note: Evaluating a geographical information system (GIS)-based approach for determining topographic shielding factors in cosmic-ray exposure dating\",\"authors\":\"F. Hofmann\",\"doi\":\"10.5194/gchron-4-691-2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Cosmic-ray exposure (CRE) dating of boulders on terminal\\nmoraines has become a well-established technique to reconstruct glacier\\nchronologies. If topographic obstructions are present in the surroundings of\\nsampling sites, CRE ages need to be corrected for topographic shielding. In\\nrecent years, geographical information system (GIS)-based approaches have\\nbeen developed to compute shielding factors with elevation data,\\nparticularly two toolboxes for the ESRI ArcGIS software. So far, the output\\nof the most recent toolbox (Li, 2018) has only been validated with a limited\\nnumber of field-data-based shielding factors. Additionally, it has not been\\nsystematically evaluated how the spatial resolution of the input elevation\\ndata affects the output of the toolbox and whether a correction for\\nvegetation leads to considerably more precise shielding factors. This paper\\naddresses these issues by assessing the output of the toolbox with an\\nextensive set of field-data-based shielding factors. Commonly used elevation\\ndata with different spatial resolutions were tested as input. To assess the\\nimpact of the different methods on CRE ages, ages of boulders with different\\n10Be concentrations at sites with varying topography and 10Be\\nproduction rates were first recalculated with GIS-based shielding factors and then with field-data-based shielding factors. For sampling sites in forested low mountainous\\nareas and in high Alpine settings, the shielding factors were independent of\\nthe spatial resolution of the input elevation data. Vegetation-corrected\\nelevation data allowed more precise shielding factors to be computed for\\nsites in a forested low mountainous area. In most cases, recalculating CRE\\nages of the same sampling sites with different shielding factors led to age\\nshifts between 0 % and 2 %. Only one age changed by 5 %. It is shown that\\nthe use of elevation data with a very high resolution requires precise\\nx and y coordinates of sampling sites and that there is otherwise a risk that small-scale\\nobjects in the vicinity of sampling sites will be misinterpreted as\\ntopographic barriers. Overall, the toolbox provides an interesting avenue\\nfor the determination of shielding factors. Together with the guidelines\\npresented here, it should be more widely used.\\n\",\"PeriodicalId\":12723,\"journal\":{\"name\":\"Geochronology\",\"volume\":\"84 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geochronology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/gchron-4-691-2022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geochronology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/gchron-4-691-2022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
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.