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基于地形的海底热液区沉积物分布趋势预测方法研究

潘东雷 陶春辉 廖时理 邓显明 张国堙

潘东雷,陶春辉,廖时理,等. 基于地形的海底热液区沉积物分布趋势预测方法研究−以西南印度洋中脊龙角区为例[J]. 海洋学报,2021,43(3):157–164 doi: 10.12284/hyxb2021043
引用本文: 潘东雷,陶春辉,廖时理,等. 基于地形的海底热液区沉积物分布趋势预测方法研究−以西南印度洋中脊龙角区为例[J]. 海洋学报,2021,43(3):157–164 doi: 10.12284/hyxb2021043
Pan Donglei,Tao Chunhui,Liao Shili, et al. Study on prediction method of sediment distribution trend in seafloor hydrothermal field based on topography: A case study of Dragon Horn area on the Southwest Indian Ridge[J]. Haiyang Xuebao,2021, 43(3):157–164 doi: 10.12284/hyxb2021043
Citation: Pan Donglei,Tao Chunhui,Liao Shili, et al. Study on prediction method of sediment distribution trend in seafloor hydrothermal field based on topography: A case study of Dragon Horn area on the Southwest Indian Ridge[J]. Haiyang Xuebao,2021, 43(3):157–164 doi: 10.12284/hyxb2021043

基于地形的海底热液区沉积物分布趋势预测方法研究以西南印度洋中脊龙角区为例

doi: 10.12284/hyxb2021043
基金项目: 国家重点研发计划(2017YFC0306203,2018YFC0309901);国家自然科学基金(41706042,41906174);中国大洋十三五课题(DY135-S1-01-02,DY135-S1-01-02)
详细信息
    作者简介:

    潘东雷(1994—),男,山东省聊城市人,主要从事海底沉积物化探相关研究。E-mail:pandl@sio.org.cn

    通讯作者:

    陶春辉,研究员,主要从事深海多金属硫化物研究。E-mail:taochunhuimail@163.com

  • 中图分类号: P736.21

Study on prediction method of sediment distribution trend in seafloor hydrothermal field based on topography: A case study of Dragon Horn area on the Southwest Indian Ridge

  • 摘要: 热液区沉积物接受了大量热液物质的输入,其矿物组成及地球化学空间分布特征是多金属硫化物勘探的有效指标。由于重力作用,洋中脊区域沉积物主要分布于低洼和平坦地形区。为了探索地形因素对热液区沉积物分布的影响规律,本文通过ArcGIS提出了一种基于地形数据的海底热液区沉积物分布趋势预测方法,并对西南印度洋中脊龙角区地形数据进行了分析,包括沉积物重力搬运方向提取、沉积物汇集量估算、海底沟谷提取和沉积物源区划分。通过与研究区底质解译结果进行对比验证发现,预测结果与研究区内沉积物的实际分布范围较为吻合,表明本方法在一定程度上可以有效地指示地形影响下海底热液区沉积物的分布情况。本方法对海底硫化物矿产勘探工作具有一定指导意义,可为海底沉积物取样站位设置与海底硫化物成矿远景区圈定提供参考依据。
  • 图  1  研究区地形图

    右上角图中红色矩形为研究区位置

    Fig.  1  Topographic map of study area

    The red rectangle in the upper right corner is the location of the study area

    图  2  处理流程图

    Fig.  2  Flow diagram

    图  3  研究区无洼地地形图

    Fig.  3  Topographic map of study area without depression

    图  4  研究区沉积物重力搬运方向

    Fig.  4  Gravity transport direction of sediments in the study area

    图  5  研究区沉积物汇集量

    图中右下角黑色色块为地形数据缺失

    Fig.  5  Sediment accumulation amount of study area

    The black area in the lower right corner of the picture is the terrain data missing

    图  6  2 000阈值下提取的海底沟谷网

    Fig.  6  Submarine ditch valley network extracted under 2 000 threshold

    图  7  研究区海底沟谷网沉积物源区划分

    Fig.  7  Sedimentary source area division of the submarine ditch valley network in the study area

    图  8  研究区海底沟谷网与沉积物分布验证对比

    沉积物分布数据来自深拖摄像资料解译,红色框线内为龙角区底质解译工作范围,黄色区域为沉积物分布,数据未发表

    Fig.  8  Verification and comparison of the submarine ditch valley network and sediments distribution in the study area

    Sediment distribution data come from the interpretation results of the seafloor camera data of the study area. The interpretation working range is shown in the red wireframe, and the yellow area is the sediment distribution, unpublished data

    图  9  特定异常点的沉积物源区分析示意图

    Fig.  9  Schematic diagram of sediment source area analysis at specific anomalous points

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出版历程
  • 收稿日期:  2020-03-08
  • 修回日期:  2020-04-18
  • 网络出版日期:  2021-02-24
  • 刊出日期:  2021-04-23

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