Please wait a minute...
E-mail Alert Rss
 
物探与化探  2021, Vol. 45 Issue (4): 1064-1070    DOI: 10.11720/wtyht.2021.1323
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
基于熵—中位数子区滤波提取土壤氡气浓度异常——以甘肃省花海盆地为例
雷波1,2(), 兰明1(), 贺锋3, 鲁宝龙4, 罗才武1
1.南华大学 资源环境与安全工程学院,湖南 衡阳 421001
2.巴黎大学 巴黎地球物理学院,巴黎 75005
3.核工业北京地质研究院,北京 100029
4.核工业二○三研究所, 西安 咸阳 712000
The application of information entropy subinterval area median contrast filtering method to extracting the abnormal soil gas radon concentrations: A case study of Huahai basin, Ganshu Province
LEI Bo1,2(), LAN Ming1(), HE Feng3, LU Bao-Long4, LUO Cai-Wu1
1. School of Resource, Environment and Safety Engineering,University of South China, Hengyang 421001, China
2. Institut de Physique du Goble de Paris, Université de Paris,Paris 75005
3. Beijing Research Institute of Uranium Geology,Beijing 100029, China
4. No.203 Research Institute of Nuclear Industry,Xianyang 712000, China
全文: PDF(3082 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

花海盆地位于甘肃省河西走廊盆地群西缘,深部矿产资源潜力尚不明朗。本文以土壤氡气浓度测量成果为基础,结合花海盆地构造背景及演化规律,分析了熵—中位数子区衬值滤波辨识的平面氡浓度异常特征。结果表明,研究区不同的大、小窗口(m,n)子区中位数衬值滤波正、负异常结果不同;滤波结果熵值变化范围为2.5~3.6,与大、小窗口比率k呈现“周期波动—下凹型”多项式变化。研究区最佳大、小窗口比率k范围为15~20,此时子区中位数衬值滤波熵值最小,滤波结果中显示研究区西部土壤氡气异常区域可信度最高,是本区后续勘探的有利区域。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
雷波
兰明
贺锋
鲁宝龙
罗才武
关键词 花海盆地土壤氡浓度子区中位数衬值法铀资源    
Abstract

Huahai basin is in the western edge of the corridor basin group in Gansu Province. Based on the results of soil gas radon concentration measurement and the background structural and evolution law of Huahai basin, the authors analyzed the characteristics of the abnormal fields by the Information Entropy Subinterval Area Median Contrast Filtering (SAMCF) Method. The results were different with the different m and n paraments by using SAMCF method. It also showed that the entropy varied from 2.5 to 3.6. The relationship of entropy and m and n was complexity. However, it varied like a "U" sharp with the incease of k parament. When the k varied from 15 to 20, the minimum entropy was gotten showing the western party of the study area with anomaly radon gas in the soil, is the favorable area for deep uranium exploration.

Key wordsHuahai basin    soil gas radon concentration    entropy    SAMCF method    uranium resource
收稿日期: 2020-06-22      出版日期: 2021-08-20
:  P632  
基金资助:湖南省自然科学基金(2019JJ50525);国家留学基金委项目(202008430197);衡阳市科技指导性项目(S2018G9031015322);中国核工业地质局项目“走廊盆地群西段铀成矿条件分析及远景预测”(202004-2)
通讯作者: 兰明
作者简介: 雷波(1985-),男,湖南衡阳人,讲师,2013毕业中国矿业大学,主要从事矿产地质勘查与评价工作。Emai: 369899477@qq.com
引用本文:   
雷波, 兰明, 贺锋, 鲁宝龙, 罗才武. 基于熵—中位数子区滤波提取土壤氡气浓度异常——以甘肃省花海盆地为例[J]. 物探与化探, 2021, 45(4): 1064-1070.
LEI Bo, LAN Ming, HE Feng, LU Bao-Long, LUO Cai-Wu. The application of information entropy subinterval area median contrast filtering method to extracting the abnormal soil gas radon concentrations: A case study of Huahai basin, Ganshu Province. Geophysical and Geochemical Exploration, 2021, 45(4): 1064-1070.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2021.1323      或      https://www.wutanyuhuatan.com/CN/Y2021/V45/I4/1064
Fig.1  花海盆地区域地质图简图[16]
Fig.2  花海盆地西部土壤氡气浓度等值线
Fig.3  花海盆地土壤氡气浓度子区中位数衬值滤波结果
Fig.4  不同插值方法下花海地区西部土壤氡气浓度栅格图(800×750)
Fig.5  不同插值方法与图像熵值关系
Fig.6  大、小窗口参数比k与熵的关系
[1] 孟凡兴, 聂斌, 邱崇涛, 等. 综合物探测量在鹿井红盆地区铀矿勘查中的应用[J]. 物探与化探, 2016,40(1):21-26.
[1] Meng F X, Nie B, Qiu C T, et al. The application of comprehensive geophysical method to uranium exploration in Lujing Red Basin[J]. Geophysical and Geochemical Exploration, 2016,40(1):21-26.
[2] 夏毓亮, 林锦荣, 刘汉彬, 等. 中国北方主要产铀盆地砂岩型铀矿成矿年代学研究[J]. 铀矿地质, 2003,19(3):129-136, 160.
[2] Xia Y L, Lin J R, Liu H B, et al. Research on geochronology of sandstone-hosted uranium ore-formation in major uranium-productive basins,northern China[J]. Uranium Geology, 2003,19(3):129-136, 160.
[3] 张虎军, 聂逢君, 饶明辉, 等. 伊犁盆地蒙其古尔地区水西沟群砂岩型铀矿目的层岩石学特征及其意义[J]. 地质与勘探, 2012,48(1):132-139.
[3] Zhang H J, Nie F J, Rao M H, et al. Lithology characteristics of the uranium-bearing sandstone in the Shuixigou group in the Mengqiguer area of the YiU Basin and their implications[J]. Geology and Prospecting, 2012,48(1):132-139.
[4] 彭新建, 闵茂中, 王金平, 等. 层间氧化带砂岩型铀矿床的铁物相特征及其地球化学意义——以伊犁盆地511铀矿床和吐哈盆地十红滩铀矿床为例[J]. 地质学报, 2003,77(1):120-125.
[4] Peng X J, Min M Z, Wang J P, et al. Characteristics and geochemical significance of the ferrum phases in the Shihongtan interlayered-oxidation zone sandstone type uranium deposit[J]. Acta Geologyical Sinica, 2003,77(1):120-125.
[5] 聂逢君, 张成勇, 姜美珠, 等. 吐哈盆地西南缘地区砂岩型铀矿含矿目的层沉积相与铀矿化[J]. 地球科学, 2018,43(10):3584-3602.
[5] Nie F J, Zhang C Y, Jiang M Z, et al. Relationship of depositional facies and microfacies to uranium mineralization in sandstone along the southern margin of Turpan-Hami Basin[J]. Editorial Committee of Earth Science, 2018,43(10):3584-3602.
[6] 史长义, 张金华, 黄笑梅. 子区中位数衬值滤波法及弱小异常识别[J]. 物探与化探, 1999,23(4):250-257.
[6] Shi C Y, Zhang J H, Huang X M. Subregion median contrast filtering method and recognition of weak anomalies[J]. Geophysical and Geochemical Exploration, 1999,23(4):250-257.
[7] 赵宁博, 傅锦, 张川, 等. 子区中位数衬值滤波法在地球化学异常识别中的应用[J]. 世界核地质科学, 2012,29(1):47-51.
[7] Zhao N B, Fu J, Zhang C, et al. Application of subinterval area median contrast filtering method in the recognizing of geochemical anomalies[J]. World Nuclear Geoscience, 2012,29(1):47-51.
[8] 罗伟, 李佑国, 彭静, 等. 西昆仑地区水系沉积物地球化学异常识别[J]. 物探与化探, 2016,40(4):722-727.
[8] Luo W, Li Y G, Peng J, et al. The identification of stream sediment geochemical anomalies in West Kunlun region[J]. Geophysical and Geochemical Exploration, 2016,40(4):722-727.
[9] 苑凤华, 潘建, 陈馥, 等. 利用子区中位数衬值滤波法识别弱小异常——以内蒙古绰源地区1/5万水系沉积物测量为例[J]. 吉林地质, 2011,30(1):96-99.
[9] Yuan F H, Pan J, Chen F, et al. Distinguishing weak anomalies based on the SAMCF: Taking 1:50000 stream sediment survey in the Chuoyuan region, Inner Mongolia as an example[J]. Jilin Geology, 2011,30(1):96-99.
[10] 费光春, 李佑国, 温春齐, 等. 子区中位数衬值滤波法在川西斑岩型铜矿区地球化学异常的筛选与查证中的应用[J]. 物探与化探, 2008,32(1):66-69.
[10] Fei G C, Li Y G, Wen C Q, et al. The application of the subinterval area median contrast filtering method to the sieving and inspection of geochemical anomalies in the porphyry copper ore district of western Sichuan[J]. Geophysical and Geochemical Exploration 2008,32(1):66-69.
[11] 矫东风, 吕新彪. 信息熵在甘南西部金矿预测中的应用研究[J]. 地质与勘探, 2004,40(3):69-73.
[11] Jiao D F, Lyu X B. Application of information entropy for gold prognosticating in the west of southern Gansu[J]. Geology and Prospecting, 2004,40(3):69-73.
[12] 赵卫平, 胡光义, 范廷恩, 等. 最大熵谱分解技术在A油田薄砂储层厚度预测中的应用[J]. 工程地球物理学报, 2018,15(4):403-410.
[12] Zhao W P, Hu G Y, Fan T E, et al. Application of maximum entropy spectrum decomposition technology to thickness prediction of thin sand reservoir in oilfield A[J]. Chinese Journal of Engineering Geophysics, 2018,15(4):403-410.
[13] 张明超, 申维, 崔静, 等. 基于熵权法的新疆阿尔泰成矿区金矿床定位预测研究[J]. 高校地质学报, 2011,17(4):521-530.
[13] Zhang M C, Shen W, Cui J, et al. Research on the location prediction of gold deposit in altay of Xinjiang with the entropy-weighted method[J]. Geological Journal of China Universities, 2011,17(4):521-530.
[14] 王晨华. 花海湖泊环境变化的地球化学记录研究[D]. 兰州:兰州大学, 2006.
[14] Wang C H. Environment changes documented by geochemistry in Huahai Lake[D]. Lanzhou:Lanzhou University, 2006.
[15] 高雄雄, 罗群, 姚立邈, 等. 源储组合特征对花海凹陷致密油成藏的影响[J]. 特种油气藏, 2016,23(2):55-58.
[15] Gao X X, Luo Q, Yao L M, et al. The effect of source-reservoir combinations on tight oil accumulation in Huahai depression[J]. Special Oil and Gas Reservior, 2016,23(2):55-58.
[16] 贺锋, 鲁宝龙, 张字龙, 等. 走廊地区花海盆地砂岩型铀矿成矿条件及找矿潜力分析[J]. 铀矿地质, 2019,35(5):292-299.
[16] He F, Lu B L, Zhang Z L, et al. Metallogenic conditions and prospecting potential analysis of sandstone-type uranium deposit in Huahai Basin, Hexi Corridor[J]. Uranium Geology, 2019,35(5):292-299.
[17] Lei B, Cai Z, Hong C, et al. Investigation on the soil gas radon concentrations in Northwest Huahai Basin, Gansu Province, China[J]. Journal of Radioanalytical and Nuclear Chemistry, 2020,326:1-9.
[18] 赵宁博, 傅锦, 张川, 等. 子区中位数衬值滤波法在地球化学异常识别中的应用[J]. 世界核地质科学, 2012,29(1):47-51.
[18] Zhao N B, Fu J, Zhang C, et al. Application of subinterval area median contrast filtering method in the recognizing of geochemical anomalies[J]. World Nuclear Geoscience, 2012,29(1):47-51.
[19] 潘雪娟, 朱尤攀, 浦恩昌, 等. 基于熵的自动聚焦图像清晰度评价函数仿真分析[J]. 红外技术, 2016,38(10):838-844.
[19] Pan X J, Zhu Y P, Pu E C, et al. Image entropy autofocus sharpness evaluation function simulation and analysis under matlab[J]. Infrared Technology, 2016,38(10):838-844.
[1] 王东凯, 苗永康, 金昌昆, 周海廷. 基于相对熵的时差相位差自动识别校正方法[J]. 物探与化探, 2021, 45(1): 127-132.
[2] 王亚娟, 李怀良, 庹先国, 沈统. 一种集成经验模态分解的样本熵阈值微地震信号降噪方法[J]. 物探与化探, 2019, 43(5): 1083-1089.
[3] 秦晅, 宋维琪. 基于时窗能量比与互信息量的微地震初至拾取方法[J]. 物探与化探, 2016, 40(2): 374-379.
[4] 刘武生, 李必红, 史清平, 贾立城, 赵兴齐. 二连盆地砂岩型铀矿土壤氡异常模型及应用[J]. 物探与化探, 2015, 39(2): 234-239.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com