Weicui Ding, Lele Han, Shenglin Xu, Xuanhua Chen, Zengzheng Wang, Ye Wang
{"title":"基于遥感的西准噶尔地区断裂系统分析","authors":"Weicui Ding, Lele Han, Shenglin Xu, Xuanhua Chen, Zengzheng Wang, Ye Wang","doi":"10.1109/ICGMRS55602.2022.9849360","DOIUrl":null,"url":null,"abstract":"Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16° is large; the proportion of NE direction in the slope direction map is the largest at 13.13%. 2. the main fault direction is N50°~60°E; the direction with the largest number of faults is 70°~90°. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R2=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R2 is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Faults System Analysis of the West Junggar Region Based on Remote Sensing\",\"authors\":\"Weicui Ding, Lele Han, Shenglin Xu, Xuanhua Chen, Zengzheng Wang, Ye Wang\",\"doi\":\"10.1109/ICGMRS55602.2022.9849360\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16° is large; the proportion of NE direction in the slope direction map is the largest at 13.13%. 2. the main fault direction is N50°~60°E; the direction with the largest number of faults is 70°~90°. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R2=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R2 is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.\",\"PeriodicalId\":129909,\"journal\":{\"name\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGMRS55602.2022.9849360\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGMRS55602.2022.9849360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Faults System Analysis of the West Junggar Region Based on Remote Sensing
Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16° is large; the proportion of NE direction in the slope direction map is the largest at 13.13%. 2. the main fault direction is N50°~60°E; the direction with the largest number of faults is 70°~90°. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R2=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R2 is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.