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现代地质 ›› 2005, Vol. 19 ›› Issue (4): 596-602.

• 技术方法 • 上一篇    下一篇

西藏扎布耶盐湖总盐含量遥感定量分析

田淑芳1,秦绪文1,2,郑绵平3,洪友堂1,邝生爱1   

  1. 1中国地质大学地球科学与资源学院,北京100083;
    2中国地质调查局,北京100011;
    3中国地质科学院矿产资源研究所,北京100037
  • 收稿日期:2005-08-01 修回日期:2005-09-29 出版日期:2005-04-20 发布日期:2005-04-20
  • 作者简介:田淑芳,女,副教授,1963年出生,资源与环境遥感专业,主要从事资源与环境遥感的教学与科研工作。
  • 基金资助:

    国家重点基础研究发展计划“973”项目“中国重点盐湖动态监测数据与预警体系”(3-4-03-29)。

Quantitative Analysis of Remote Sensing on the Total Salinity of Zhabuye Salt Lake in Tibet

TIAN Shu-fang1, QIN Xu-wen1,2,ZHENG Mian-ping3, HONG You-tang1, KUANG Sheng-ai1   

  1. 1School of Earth Sciences & Resources,China University of Geosciences, Beijing100083, China;
    2China Geological Survey, Beijing100011, China;
    3Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing100037, China
  • Received:2005-08-01 Revised:2005-09-29 Online:2005-04-20 Published:2005-04-20

摘要:

在水体遥感理论的基础上,利用三维盐指数、主成分分析、相关分析等方法,对浓度高、成分复杂的西藏扎布耶盐湖的总盐含量进行了定量研究。揭示了扎布耶盐湖总含盐量的多中心分布以及北湖的总含盐量比南湖的高、南湖有明显的退化趋势的空间变化规律;建立了高含盐量复杂成分卤水的三维盐指数:NS(TM3/TM7、TM3/TM4、TM3/TM5);探索了在三维盐指数基础上分离总含盐量信息的遥感方法——主成分分析法:PCA(TM(3/7、3/4、3/5)),得到3个组分的图像数据,其中PC1与总含盐量信息相关性最强;最后,基于上述研究建立了高含盐量复杂成分卤水的遥感模型:Y=aX+b, X为PC1图像亮度值,Y为总盐含量,a、b为系数。该项研究对中国西部地区盐湖的调查有一定的指导意义。

关键词: 扎布耶盐湖, 总盐含量, 遥感, 定量分析, 西藏

Abstract:

Based on the theory of remote sensing on water, we have made a quantitative analysis of the total salinity of Zhabuye salt lake in Tibet, which has a high concentration of salt and complex components, by using method of 3-D salt index, principal components method, correlation analysis, and etc. We have drawn three main conclusions as follows: First, it is discovered that Zhabuye salt lake has many salinity centers . The total salinity in northern part of  the lake is higher than those values in southern part. The water in southern part has an obvious degeneration trend Second, we established the 3D-index of bitter water that has high salinity and complicated composition. The index is NS(TM3/TM7,TM3/TM4,TM3/TM5). Third,based on 3D-index about bitter water , we have found the principal components method is perfect in distincting of salt : PCA(TM(3/7,3/4,3/5)). According to this method , we can get three components of image data, the first component (PC1) has the strongest relation with the salinity.We have built a RS model of highly salty and complicatedly componented bitter water based on our research: Y= aX+b. This research is significant of making a survey of the salt lake in  western China.

Key words: Zabuye salt lake, total salinity, remote sensing, quantitative analysis, Tibet

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