会议论文详细信息
6th Digital Earth Summit
Growth pattern research on the modern deposition of Ganjiang delta in Poyang lake basin by spatio-temporal remote sensing images
地球科学;计算机科学
Zhou, Hongying^1 ; Yuan, Xuanjun^1 ; Zhang, Youyan^1 ; Dong, Wentong^1 ; Liu, Song^1
Institute of Petroleum Exploration and Development, Petro China, Beijing
100083, China^1
关键词: Distributary channels;    Ganjiang delta;    Growth patterns;    Petroleum exploration;    Po-yang lakes;    Quantitative research;    Remote sensing images;    Remote sensing interpretation;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012034/pdf
DOI  :  10.1088/1755-1315/46/1/012034
学科分类:计算机科学(综合)
来源: IOP
PDF
【 摘 要 】

It is of great importance for petroleum exploration to study the sedimentary features and the growth pattern of shoal water deltas in lake basins. Taking spatio-temporal remote sensing images as the principal data source, combined with field sedimentation survey, a quantitative research on the modern deposition of Ganjiang delta in the Poyang Lake Basin is described in this paper. Using 76 multi-temporal and multi-type remote sensing images acquired from 1973 to 2015, combined with field sedimentation survey, remote sensing interpretation analysis was conducted on the sedimentary facies of the Ganjiang delta. It is found that that the current Poyang Lake mainly consists of three types of sand body deposits including deltaic deposit, overflow channel deposit, and aeolian deposit, and the distribution of sand bodies was affected by the above three types of depositions jointly. The mid-branch channels of the Ganjiang delta increased on an exponential growth rhythm. The main growth pattern of the Ganjiang delta is dendritic and reticular, and the distributary channel mostly arborizes at lake inlet and was reworked to be reticulatus at late stage.

【 预 览 】
附件列表
Files Size Format View
Growth pattern research on the modern deposition of Ganjiang delta in Poyang lake basin by spatio-temporal remote sensing images 1262KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:24次