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干旱区地理 ›› 2016, Vol. 39 ›› Issue (4): 851-860.

• 地球信息科学 • 上一篇    下一篇

1989-2014年赛里木湖水面面积的时序变化特征

王宇1,2, 李均力1, 郭木加甫3, 包安明1, 胡汝骥1, 赵胜楠2   

  1. 1 中国科学院新疆生态与地理研究所, 新疆 乌鲁木齐 830011;
    2 河南理工大学测绘与国土信息工程学院, 河南 焦作 454000;
    3 博尔塔拉州赛里木湖风景名胜区管理委员会, 新疆 博乐 835000
  • 收稿日期:2016-02-06 修回日期:2016-04-21 出版日期:2016-07-25
  • 通讯作者: 李均力,男,副研究员,主要从事干旱区湖泊变化,水资源调查研究.Email:lijl@ms.xjb.ac.cn
  • 作者简介:王宇(1990-),男,硕士研究生,研究方向主要为遥感变化监测研究.Email:welbetterwang@163.com
  • 基金资助:

    新疆自然科学基金(2012211A102)

Time-series analysis of Sayram Lake area changes during 1989-2014

WANG Yu1,2, LI Jun-li1, BAO An-ming3, HU Ru-ji1, Guomujiafu1, ZHAO Sheng-nan2   

  1. 1 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China;
    2 School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China;
    3 Sayram Lake Management Committee, Bortala Mongol Autonomous Prefecture, Bole 835000, Xinjiang, China
  • Received:2016-02-06 Revised:2016-04-21 Online:2016-07-25

摘要: 利用多时相中高分辨率遥感数据分析湖泊面积的时序变化是当前湖泊变化研究的热点之一。采用1989-2014年的多源卫星遥感资料对赛里木湖的水面面积变化进行制图,分析长时段内湖泊面积的时空变化特征,并探讨湖泊面积对气候变化的响应。研究表明:尽管赛里木湖面积变化相对较小,然而较长时序遥感数据能够很好的描述赛里木湖面积的年度和季节性变化特征。26 a来湖泊的年际、季节面积变化总体呈上升趋势,其中年面积变化为0.165 km2·a-1,并分别在1993-1998和2001-2005年处于快速上升的阶段;从季节性变化来看,1~3月份处于雪冰覆盖期,6~8月份是面积最大的时期。湖泊边界变化与周边地势有关,边界外扩的区域主要分布在湖泊西部、西北部等地势低且平坦的草原地带,且湖岸坍塌与崩岸的区域与研究区盛行的风向相对应。近30 a的气候资料表明,湖泊萎缩、扩张变化与气候变化有很好的相关性,较好地响应了区域气候暖湿的变化。

关键词: 赛里木湖, 湖泊面积, 时空特征, 气候变化, 遥感

Abstract: Lakes in alpine regions remain sensitive to regional climate change,mapping and monitoring of these lakes would facilitate our understanding of regional climate change. However,few observational data is available due to its low accessibility. Remote sensing provides an efficient tool to map and monitor these lakes with long spatial-temporal data. As the largest alpine lake in the western Tianshan Mountains of Xinjiang,Sayram Lake had become eutrophic during last decades. In order to analyze its spatio-temporal changes during the last 30 years, 155 multi-source remote sensing images from 1989 to 2014 were used to map lake area changes. The hydro-metrological data were also used to discuss the factors for lake changes under the climate change conditions. The results show resource environment satellite images of 30 m resolution can map the minor lake changes effectively; and the time-series analysis performs well in describing the temporal procedures of lake area changes. The annual areal curve of the Sayram Lake shows an overall increasing trend in recently years. In detail,the expanding rates accelerated during the periods 1993-1998 and 2001-2005,while ascended gently after 2005. The seasonal characteristics of lake area curve shows the lake was totally ice-covered from January to March. The lake area was increasing from June to August,while decreasing during the periods of April-May and September-October. The spatial distribution characteristics show the directions of the expanding lake boundary were in west and north-west, where the land was low and flat,mainly covered by grassland,it is because that the prevailing wind direction is east to west,which makes the lake extent eroded easily in wind direction. Meteorological records for the last 30 years show that lake areal change had good correlation with precipitation,and lake shrink-expand was the indicator of climate change from dry-cold to wet-warm. However,the negative impact by climate change on Sayram Lake was obvious,lake shorelines were eroded severely by the rising lake surface,and risks of the road collapse near the shorelines were also increasing. The progressively development of tourism industry and overgrazing of the livestock's,together led to the rangeland degradation and eutrophication aggravation. Therefore,controlling reasonably the grassland development and reduction of grazing capacity,strengthening the local ecological restoration and controlling comprehensively the pollution source of the lake are very important tasks for protecting Sayram Lake ecology.

Key words: Sayram Lake, lake area, spatio-temporal characteristics, climate change, remote sensing

中图分类号: 

  • P931.7