首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多源卫星测高数据的扎日南木错水位动态变化(1992—2012年)
引用本文:张鑫,吴艳红,张鑫.基于多源卫星测高数据的扎日南木错水位动态变化(1992—2012年)[J].自然资源学报,2015,30(7):1153-1162.
作者姓名:张鑫  吴艳红  张鑫
作者单位:1. 西北农林科技大学水利与土木建筑工程学院, 陕西杨凌 712100;
2. 中国科学院遥感与数字地球研究所, 北京 100094
基金项目:中国科学院战略性先导科技专项(B类)(XDB03030406);国家自然科学基金项目(41371218);山东省自然科学基金(ZR2014DQ027)。
摘    要:湖泊水位的变化对区域气候变化响应敏感,可客观反映该地区水资源的时空变化,青藏高原的大部分湖泊缺乏实测水位资料,测高卫星的广泛应用为无资料区水位变化监测提供了一种新的有效技术手段。论文以扎日南木错为研究对象,利用多源卫星测高数据,获取该湖泊1992—2012年的水位序列,分析其20 a来水位的动态变化特征,并与其他数据源获取的水位序列对比。研究表明,1992—2012年,扎日南木错水位上涨了0.786 m,1999年前,水位以0.132 m/a速度下降,1999—2012年水位以0.144 m/a速度上升,总体呈现先下降后上升的趋势,与其他数据源获取的水位序列呈现的变化规律一致,且尤其是2000年后,扎日南木错春冬水位比夏秋水位变化幅度更剧烈。

关 键 词:卫星测高  内陆湖泊  水位变化  扎日南木错  
收稿时间:2014-08-11

Zhari NamcoWater Level Change Detection Using Multi-satellite Altimetric Data during 1992-2012
ZHANG Xin,WU Yan-hong,ZHANG Xin.Zhari NamcoWater Level Change Detection Using Multi-satellite Altimetric Data during 1992-2012[J].Journal of Natural Resources,2015,30(7):1153-1162.
Authors:ZHANG Xin  WU Yan-hong  ZHANG Xin
Institution:1. College ofWater Resources and Architecture Engineering, Northwest A & F University, Yangling 712100, China;
2. Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, CAS, Beijing 100094, China
Abstract:Lake Level variation is an important indicator of regional and global climate and environment. It can reflect the water mass balance of a basin. There is lack of continuous observations of lake level for most lakes in Tibetan Plateau. However, the satellite radars provide a new and effective method for lake level detection. In this study, lake level changes between 1992 and 2012 of Zhari Namco were monitored using multi-altimetric data, and the obtained time series of water levels are compared with those from other resources. The results show that the lake level of Zhari Namco rose by 0.786 m in total in the period of 1992-2012, but it shows the tendency of descending before 1999 by the rate of 0.132 m/a and then rose after 1999 by the rate of 0.144 m/a. The results are in agreement with time series of water level for other resources. Moreover, the amplitude of lake level variation is more intensive in spring and winner than in summer and autumn, especially after 2000.
Keywords:satellite altimetry  inland lake  lake level variation  Zhari Namco
本文献已被 CNKI 等数据库收录!
点击此处可从《自然资源学报》浏览原始摘要信息
点击此处可从《自然资源学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号