泰国南邦省Mae Moh煤矿三维数字露头模型地质构造分析

Q4 Social Sciences
{"title":"泰国南邦省Mae Moh煤矿三维数字露头模型地质构造分析","authors":"","doi":"10.52939/ijg.v19i9.2847","DOIUrl":null,"url":null,"abstract":"The advancement of unmanned aerial vehicles (UAVs) replaces traditional survey methods and provides more accurate, complete, and higher-resolution photographs than traditional aerial images. Due to the development of new surveying methods, UAVs were taken to survey the eastern Mae Moh coal mine, Mae Moh district, Lampang province, Thailand, to create a 3D digital outcrop model. Geologically, the Mae Moh coal mine forms a graben structure in which the basin's center moves downward relative to the east and west high mountains. To create the 3D model, the UAV or drone was flown over three outcrop stations to capture details of outcrops in the top and 3D views. Computer vision processing complies with aerial images from UAVs to represent bedding planes of coal seams and exposed fault characteristics. The efficiency of measuring orientations of geological structures derived from the 3D model and actual field data reveals that bedding planes and fault planes orient in a similar direction. Regarding the fault planes, the percentage error of strike ranges from 1.5% to 8.0%, whereas the percentage error of dip angle ranges between 2.4% and 2.7%. For the bedding planes, the percentage error of strike ranges from 0.5% to 10.5%, while the percentage error of dip angle ranges between 9 % and 27 %. Although the efficiency of measurements on geological structures from the 3D digital outcrop model needs to be improved, using UAVs will help develop the quality of topographic and geological surveys in the future.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D Digital Outcrop Model for Geological Structure Analysis in Mae Moh Coal Mine, Lampang Province, Thailand\",\"authors\":\"\",\"doi\":\"10.52939/ijg.v19i9.2847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advancement of unmanned aerial vehicles (UAVs) replaces traditional survey methods and provides more accurate, complete, and higher-resolution photographs than traditional aerial images. Due to the development of new surveying methods, UAVs were taken to survey the eastern Mae Moh coal mine, Mae Moh district, Lampang province, Thailand, to create a 3D digital outcrop model. Geologically, the Mae Moh coal mine forms a graben structure in which the basin's center moves downward relative to the east and west high mountains. To create the 3D model, the UAV or drone was flown over three outcrop stations to capture details of outcrops in the top and 3D views. Computer vision processing complies with aerial images from UAVs to represent bedding planes of coal seams and exposed fault characteristics. The efficiency of measuring orientations of geological structures derived from the 3D model and actual field data reveals that bedding planes and fault planes orient in a similar direction. Regarding the fault planes, the percentage error of strike ranges from 1.5% to 8.0%, whereas the percentage error of dip angle ranges between 2.4% and 2.7%. For the bedding planes, the percentage error of strike ranges from 0.5% to 10.5%, while the percentage error of dip angle ranges between 9 % and 27 %. Although the efficiency of measurements on geological structures from the 3D digital outcrop model needs to be improved, using UAVs will help develop the quality of topographic and geological surveys in the future.\",\"PeriodicalId\":38707,\"journal\":{\"name\":\"International Journal of Geoinformatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52939/ijg.v19i9.2847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52939/ijg.v19i9.2847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

无人机(uav)的进步取代了传统的测量方法,提供了比传统航空图像更准确、更完整、分辨率更高的照片。由于新测量方法的发展,采用无人机对泰国南邦省Mae Moh地区的Mae Moh煤矿东部进行了测量,以创建3D数字露头模型。在地质上,Mae Moh煤矿形成了盆地中心相对于东西高山向下移动的地堑结构。为了创建3D模型,无人机或无人机在三个露头站上空飞行,以捕捉露头的顶部和3D视图的细节。计算机视觉处理符合无人机航拍图像,表示煤层层理面和出露断层特征。利用三维模型和现场实测资料进行地质构造方位测量的有效性表明,层理面和断裂面方向基本一致。断层走向误差在1.5% ~ 8.0%之间,倾角误差在2.4% ~ 2.7%之间。层理面走向百分比误差在0.5% ~ 10.5%之间,倾角百分比误差在9% ~ 27%之间。虽然利用三维数字露头模型测量地质构造的效率有待提高,但使用无人机将有助于提高未来地形地质调查的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Digital Outcrop Model for Geological Structure Analysis in Mae Moh Coal Mine, Lampang Province, Thailand
The advancement of unmanned aerial vehicles (UAVs) replaces traditional survey methods and provides more accurate, complete, and higher-resolution photographs than traditional aerial images. Due to the development of new surveying methods, UAVs were taken to survey the eastern Mae Moh coal mine, Mae Moh district, Lampang province, Thailand, to create a 3D digital outcrop model. Geologically, the Mae Moh coal mine forms a graben structure in which the basin's center moves downward relative to the east and west high mountains. To create the 3D model, the UAV or drone was flown over three outcrop stations to capture details of outcrops in the top and 3D views. Computer vision processing complies with aerial images from UAVs to represent bedding planes of coal seams and exposed fault characteristics. The efficiency of measuring orientations of geological structures derived from the 3D model and actual field data reveals that bedding planes and fault planes orient in a similar direction. Regarding the fault planes, the percentage error of strike ranges from 1.5% to 8.0%, whereas the percentage error of dip angle ranges between 2.4% and 2.7%. For the bedding planes, the percentage error of strike ranges from 0.5% to 10.5%, while the percentage error of dip angle ranges between 9 % and 27 %. Although the efficiency of measurements on geological structures from the 3D digital outcrop model needs to be improved, using UAVs will help develop the quality of topographic and geological surveys in the future.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信