1. 新疆大学地质与矿业工程学院
2. 新疆大学新疆中亚造山带大陆动力学与成矿预测自治区重点实验室
3. 浙江省隧道工程集团有限公司
纸质出版:2024
移动端阅览
[1]孙亚飞,陈明,张博文,等.基于GIS的北塔山地区金成矿远景信息量法预测[J].新疆大学学报(自然科学版中英文),2024,41(06):712-721.
[1]孙亚飞,陈明,张博文,等.基于GIS的北塔山地区金成矿远景信息量法预测[J].新疆大学学报(自然科学版中英文),2024,41(06):712-721. DOI: 10.13568/j.cnki.651094.651316.2023.12.22.0003.
DOI:10.13568/j.cnki.651094.651316.2023.12.22.0003.
信息量法在矿产预测领域的应用研究已发展成为一种快速、有效的成矿预测方法.选定东准噶尔北塔山地区的阿克塔斯阔腊金矿作为典型矿床,通过深入分析该矿床的地质特征及成矿规律,应用ArcGIS平台完成遥感、区域地球化学等多源信息集成,综合判定断裂构造、火山岩建造、地层、遥感及地化异常等20个金致矿信息.并以金矿点作为有利因子衡量指标,运用信息量模型计算各控矿因素信息量,得到白山包组(S_2b)、Au异常区、线性体平均方位(270°~360°)、断裂构造、Sb异常区及遥感叠合度等关键的致矿信息.将各信息量叠加于预测单元内,进行成矿信息量评价及临界值确定,将信息量大于2的区域圈定为A级成矿靶区.通过以上研究,以期为北塔山地区造山型金矿的成矿预测及靶区优选工作提供参考.
The applied research of the information method in the field of mineral prediction has developed into a fast and effective method for mineralization prediction. This study focuses on the Beitashan region in east Junggar
selecting the Aketasikuola gold deposit as a representative deposit. Through a thorough analysis of the geological characteristics and mineralization patterns of such deposits
the ArcGIS platform is employed in conjunction with remote sensing
regional geochemistry
and other multi-source information to comprehensively examine 20 gold mineralization factors
including fault structures
volcanic rock construction
stratigraphy
remote sensing hydroxyl iron staining
and geochemical anomalies. Gold ore points were used as favorable indicators
and the information model calculated the information values of various ore-controlling factors. The Baishanbao formation(S_2b)
Au anomaly zone
linear body average orientation(270°~360°)
fault structures
Sb anomaly zone
and remote sensing overlay degree are identified as the primary exploration indicators for gold deposits in the Beitashan region. Overlaying the information values within the prediction units
mineralization information value assessment
and critical value determination were conducted
defining regions with information values greater than 2 as grade A mineralization target zones. Through the aforementioned research
it is aimed to provide a reference for the mineralization prediction and target area selection work of orogenic gold deposits in the Beitashan area.
何海洲,杨志强.找矿信息量法在广西大厂矿田新一轮成矿预测中的应用[J].矿产与地质,2007,21(5):560-562.HE H Z,YANG Z Q.Application of the prospecting-information method to newly metallogenic prediction in the Dachang ore field,Guangxi[J].Mineral Resources and Geology,2007,21(5):560-562.(in Chinese)
宋宇佳.基于GIS的矿山资源找矿潜力及开发研究[J].世界有色金属,2021(12):72-73.SONG Y J.Study on prospecting potential and exploitation of mine resources based on GIS[J].World Nonferrous Metals,2021(12):72-73.(in Chinese)
刘同,刘传朋,康鹏宇,等.基于GIS的格尔木市分水岭北地区铜金矿综合信息找矿预测[J].西北地质,2020,53(3):295-307.LIU T,LIU C P,KANG P Y,et al.GIS-based comprehensive information prospecting prediction of Cu-Au deposit in Fenshuilingbei area,Gulmud City[J].Northwestern Geology,2020,53(3):295-307.(in Chinese)
申维.分形求和法及其在地球化学数据分组中的应用[J].物探化探计算技术,2007,29(2):134-137+4.SHEN W.Fractal summation methods and its application in geochemical element data for population limits[J].Computing Techniques for Geophysical and Geochemical Exploration,2007,29(2):134-137+4.(in Chinese)
赵鹏大,陈永清.基于地质异常单元金矿找矿有利地段圈定与评价[J].地球科学:中国地质大学学报,1999,24(5):443-448.ZHAO P D,CHEN Y Q.Geological anomaly unit-based delineation and assessment of preferable gold ore-finding area[J].Earth Science:Journal of China University of Geosciences,1999,24(5):443-448.(in Chinese)
叶征宇.新疆奇台县北塔山牧场一带水系沉积物地球化学特征及找矿方向[D].成都:成都理工大学,2018.YE Z Y.The sediment geochemical characteristics and prospecting direction of Beita mountain pasture[D].Chengdu:Chengdu University of Technology,2018.(in Chinese)
陈文成.基于证据权法的成矿远景预测空间分析模型研究:以MAPGIS空间分析建模为例[J].地质科技情报,2011,30(2):109-116.CHEN W C.Spatial analysis model of mineralization prospect forecast based on evidence power method:Take the MAPGIS spatial analysis modeling as an example[J].Geological Science and Technology Information,2011,30(2):109-116.(in Chinese)
陈文成.面向成矿远景评价的MapGIS空间分析模型[J].吉林大学学报(地球科学版),2012,42(1):280-288.CHEN W C.Spatial analysis model of MapGIS with evaluation of mineralization prospect[J].Journal of Jilin University(Earth Science Edition),2012,42(1):280-288.(in Chinese)
刘申态,吕新彪,曹晓峰.基于MORPAS平台特征分析法找矿靶区预测:以大平梁外围铜钼多金属矿为例[J].新疆地质,2015,33(1):121-125.LIU S T,LYU X B,CAO X F.Application of characteristic prospecting target prediction based on MORPAS:A case study on Cu-Mo polymetallic deposit around Dapingliang[J].Xinjiang Geology,2015,33(1):121-125.(in Chinese)
马宏斌.基于GIS的信息量法在矿产预测中的应用:以澜沧三岔河坝子铅锌矿为例[J].矿产与地质,2017,31(2):414-419.MA H B.Application of GIS-based information value method in prediction of mineral resources:A case study of Sanchahebazi Pb-Zn deposit[J].Mineral Resources and Geology,2017,31(2):414-419.(in Chinese)
陈文成.成矿预测中ArcGIS ModelBuilder的建模评价:以武夷山成矿带大深幅为试验区[J].地球信息科学学报,2013,15(1):81-89.CHEN W C.Space analysis modelling of mineralization forecast appraisal using ArcGIS ModelBuilder:Taking Wuyishan mineralization belt Dashen sheet as the pilot area[J].Journal of Geo-Information Science,2013,15(1):81-89.(in Chinese)
彭剑刚.新疆北塔山一带金矿地质条件及找矿研究[J].世界有色金属,2018(16):104-105.PENG J G.Geological conditions and prospecting of gold deposits in the North Tashan area,Xinjiang[J].World Nonferrous Metals,2018(16):104-105.(in Chinese)
屈迅.新疆东准噶尔斑岩铜矿成矿规律及靶区预测[D].北京:中国地质大学(北京),2011.QU X.Mineralization regularities and prediction of targets of porphyry copper deposits in east Junggar,Xinjiang,China[D].Beijing:China University of Geosciences Beijing,2011.(in Chinese)
肖文交,宋东方,WINDLEY B F,等.中亚增生造山过程与成矿作用研究进展[J].中国科学:地球科学,2019,49(10):1512-1545.XIAO W J,SONG D F,WINDLEY B F,et al.Research progresses of the accretionary processes and metallogenesis of the Central Asian Orogenic Belt[J].Science China:Earth Sciences,2019,49(10):1512-1545.(in Chinese)
CHEN B,JAHN B M.Genesis of post-collisional granitoids and basement nature of the Junggar Terrane,NW China:Nd-Sr isotope and trace element evidence[J].Journal of Asian Earth Sciences,2004,23(5):691-703.
肖鸿,庞建材,王璐,等.萨热巴斯陶幅L46E018003别斯巴斯陶幅L46E018004莫斯特幅L46E018005三个泉幅L46E018006扎尔阔腊巴斯陶幅L46E018007苏亥伊提幅L46E018008 1/5万区域地质调查报告[DS].全国地质资料馆,2014.DOI:10.35080/n01.c.137302.XIAO H,PANG J C,WANG L,et al.Sarebasitao L46E018003,Biesibasitao L46E018004,Mosite L46E018005,Sangequan L46E018006,Zhaerkuolabasitao L46E018007,Suhaiyiti L46E018008,1/50 000 regional geological survey report[DS].National Geological Data Center,2014.DOI:10.35080/n01.c.137302.(in Chinese)
胡醒民,吴永祥,孟宪锋,等.新疆奇台县北塔山牧场一带1/5万区域地质调查报告[DS].全国地质资料馆,2006.DOI:10.35080/n01.c.115661.HU X M,WU Y X,MENG X F,et al.Beitashan ranch area,Qitai County,Xinjiang,1/50 000 regional geological survey report[DS].National Geological Data Center,2006.DOI:10.35080/n01.c.115661.(in Chinese)
张翠芬,郝利娜,王元俭,等.Landsat8 OLI图像增强与岩性识别方法[J].地质与勘探,2017,53(2):325-333.ZHANG C F,HAO L N,WANG Y J,et al.An image enhancement and lithology identification method based on Landsat8 OLI data[J].Geology and Exploration,2017,53(2):325-333.(in Chinese)
陈海云,齐睿,张志.西昆仑麻扎构造混杂岩带中大理岩的遥感识别方法[J].现代地质,2022,36(1):259-265.CHEN H Y,QI R,ZHANG Z.Remote sensing identification of marble in Mazha tectonic melange of west Kunlun orogen[J].Geoscience,2022,36(1):259-265.(in Chinese)
吴志春.江西相山火山盆地铀矿床三维地质建模及深部成矿条件分析[D].南昌:东华理工大学,2020.WU Z C.Three-dimensional geological modelling and deep ore-forming conditions analysis of uranium deposits in the Xiangshan volcanic basin,Jiangxi Province[D].Nanchang:East China University of Technology,2020.(in Chinese)
吴志春,叶发旺,郭福生,等.主成分分析技术在遥感蚀变信息提取中的应用研究综述[J].地球信息科学学报,2018,20(11):1644-1656.WU Z C,YE F W,GUO F S,et al.A review on application of techniques of principle component analysis on extracting alteration information of remote sensing[J].Journal of Geo-Information Science,2018,20(11):1644-1656.(in Chinese)
阿丽娜,丁建刚,郭凡.新疆若羌县戈边山地区遥感地质信息提取与解译[J].新疆地质,2018,36(4):533-540.A L N,DING J G,GUO F.The extraction and interpretation of remote sensing geological information of Gebianshan in Ruoqiang County,Xinjiang[J].Xinjiang Geology,2018,36(4):533-540.(in Chinese)
曹会,张廷秀,李雨柯,等.基于中、高分辨率遥感影像的羟基和铁染蚀变信息提取与成矿预测:以吉林市等六幅为例[J].地质与资源,2021,30(6):710-715+706.CAO H,ZHANG T X,LI Y K,et al.Hydroxyl and iron-stained alteration information extraction and metallogenic prediction based on medium-high-resolution remote sensing images:A case study of six map sheets in Jilin City[J].Geology and Resources,2021,30(6):710-715+706.(in Chinese)
冯新义,吕成哲,逯跃锋,等.基于Landsat8 OLI数据内蒙古石哈河地区蚀变信息提取[J].内蒙古科技与经济,2023(6):73-77.FENG X Y,LYU C Z,LU Y F,et al.Extraction of alteration information based on Landsat8 OLI data in Shihahe area,Inner Mongolia[J].Inner Mongolia Science Technology&Economy,2023(6):73-77.(in Chinese)
田青林,潘蔚,李瀚波,等.基于多源遥感数据的蚀变信息提取对比研究[J].地质科技情报,2018,37(6):218-225+238.TIAN Q L,PAN W,LI H B,et al.Comparative research of alteration information extraction based on multi-source remote sensing data[J].Geological Science and Technology Information,2018,37(6):218-225+238.(in Chinese)
肖克炎,张晓华,陈郑辉,等.成矿预测中证据权重法与信息量法及其比较[J].物探化探计算技术,1999,21(3):223-226.XIAO K Y,ZHANG X H,CHEN Z H,et al.Comparision of method of weights of evidence and information[J].Computing Techniques for Geophysical and Geochemical Exploration,1999,21(3):223-226.(in Chinese)
侯翠霞,刘向冲,张文斌,等.成矿预测理论与方法新进展[J].地质通报,2010,29(6):953-960.HOU C X,LIU X C,ZHANG W B,et al.New method and theory of metallogenic prediction[J].Geological Bulletin of China,2010,29(6):953-960.(in Chinese)
叶天竺,肖克炎,严光生.矿床模型综合地质信息预测技术研究[J].地学前缘,2007,14(5):11-19.YE T Z,XIAO K Y,YAN G S.Methodology of deposit modeling and mineral resource potential assessment using integrated geological information[J].Earth Science Frontiers,2007,14(5):11-19.(in Chinese)
李钟山,范继璋.逻辑信息法在华北地块北缘金矿预测中的应用[J].成都理工大学学报(自然科学版),2005,32(1):87-91.LI Z S,FAN J Z.Metallogenic prognosis of gold deposits by method of logical information on northern border of North China massif[J].Journal of Chengdu University of Technology(Science&Technology Edition),2005,32(1):87-91.(in Chinese)
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