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中亚地区典型矿床的特征提取技术及预测方法
引用本文:周可法,陈衍景,张楠楠,王金林,汪玮,刘朝霞,程宛文.中亚地区典型矿床的特征提取技术及预测方法[J].干旱区地理,2012,35(3):339-347.
作者姓名:周可法  陈衍景  张楠楠  王金林  汪玮  刘朝霞  程宛文
作者单位:1. 北京大学造山带与地壳演化重点实验室,北京100871;中国科学院新疆生态与地理研究所,中国科学院新疆矿产资源研究中心 新疆乌鲁木齐830011
2. 北京大学造山带与地壳演化重点实验室,北京,100871
3. 中国科学院新疆生态与地理研究所,中国科学院新疆矿产资源研究中心 新疆乌鲁木齐,830011
基金项目:国家自然科学基金-新疆联合基金,国家科技支撑计划,国家自然科学基金
摘    要: 以巴尔喀什-准噶尔成矿带为研究区域,分析中亚大型矿集区成矿地质条件,结合地质矿产、地球物理、地球化学和信息科学等信息数据及野外调查成果,选择2个典型矿床,从构造域、沉积域、火成岩、重力与航磁等特征,构建数据驱动与知识驱动的时空坐标,以铜矿为主要矿床类型,以中比例尺为主要研究尺度,建立多元信息综合识别组合标志,结合空间数据分析技术,以ArcGIS为平台,集成相关的各种信息,建立中亚跨境成矿带铜矿床提取技术及成矿预测体系,将各单要素类计算结果与已有矿床的整合产生新的要素类,利用空间分析模型进行计算,将研究区分为潜在高聚区、潜在聚集区、高预测区、预测区和未定区5个类别,形成不同的预测分类集合,得到整个研究区的预测结果,通过实地验证分析,预测结果得出新疆两处潜在聚集区,其中伊犁地区的潜在聚集区有阿希金矿验证;天山北坡的潜在聚集区主要在依连哈比尔尕山北坡,基本与实地情况符合。通过理论研究到技术方法的实现,为境内寻找铜矿床提供了启示。

关 键 词:中亚成矿带  GIS  数据模型  识别标志
收稿时间:2011-09-12;

Feature extraction and prediction methods for typical deposit in Central Asia
ZHOU Ke-Fa , CHEN Yan-jing , ZHANG Nan-Nan , WANG Jin-Lin , WANG Wei , LIU Zhao-Xia , CHENG Wan-Wen.Feature extraction and prediction methods for typical deposit in Central Asia[J].Arid Land Geography,2012,35(3):339-347.
Authors:ZHOU Ke-Fa  CHEN Yan-jing  ZHANG Nan-Nan  WANG Jin-Lin  WANG Wei  LIU Zhao-Xia  CHENG Wan-Wen
Institution:1 Key Laboratory of Orogen and Crust Evolution,Ministry of Education,Peking University,Beijing 100871,China; 2 Xinjiang Research Center for Mineral Resources,Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences,Urumqi 830011,Xinjiang,China)
Abstract:This paper briefly studied the tectonic enmronment,geological characteristics and distribution of the large metallogenic ore belt in Central Asia.Taking metallogenic districts of Balkhash as typical study area and combining multi temporal remote sensing data and field work results,with the constantly changing knowledge of the division of metallogenic belts and types and characteristics of metallogenic formations in adjacent regions of Xinjiang,the authors emphasize that in comparing the geology and mineral resources in Xinjiang with those in its adjacent regions it is necessary to gain knowledge of their research histories and seek to make such comparison based on ascertaining basic ore-controlling elements.In addition,in Central Asia mineralization related to Early Paleozoic continental crustal accretion is quite importantly,all these belong to the characteristics of the Central Asian metallogenic megaprovince and must be fully considered in the comparative study.To ArcGIS platform,cross-border metallogenic belt establishment of a Central Asian main objective of the integrated model of large ore-prediction system,that the Central Asian metallogenic belt ore concentration distribution of the prediction and mineralization element association show certain zonation from intrusive bodies to wallrocks.Integration of the calculated results of the single feature class to a new feature class with the existing deposit,the use of spatial analysis models were calculated,The study area is divided into potential high-poly district,potential gathering area,high prediction District,forecast area,and undetermined area five categories,we calculated the predictions for the entire study area and analysis of field-proven,the forecasting results obtained two potential accumulation area in Xinjiang,include the potential accumulation area of the Ili region and Axi gold deposit verification,field validation analysis proved the model which was used in the Tianshan copper-gold deposit packet for the trial was true,the results of further exploration work has a certain significance.
Keywords:Central Asia metallogenic belt  GIS  data methods  sign recognition
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