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引用本文:王文种,黄对,刘九夫,刘宏伟,王欢.基于Landsat与Sentinel-3A卫星数据的当惹雍错1988-2018年湖泊水位-水量变化及归因.湖泊科学,2020,32(5):1552-1563. DOI:
WANG Wenzhong,HUANG Dui,LIU Jiufu,LIU Hongwei,WANG Huan.Patterns and causes of changes in water level and volume in Tangra Yumco from 1988 to 2018 based on Landsat images and Sentinel-3A synthetic aperture radar. J. Lake Sci.2020,32(5):1552-1563. DOI:
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基于Landsat与Sentinel-3A卫星数据的当惹雍错1988-2018年湖泊水位-水量变化及归因
王文种, 黄对, 刘九夫, 刘宏伟, 王欢
南京水利科学研究院水文水资源与水利工程科学国家重点实验室, 南京 210029
摘要:
湖泊变化是气候变化的指示器.为探索利用单一短时间尺度的卫星水位数据源估算长时间序列的湖泊水量变化的可行性,本文利用短时间尺度(2016—2018年) Sentinel-3A合成孔径雷达高度计(SRAL)作为唯一卫星水位数据源,以藏北高原内陆湖泊当惹雍错为例,结合基于Landsat光学遥感数据提取的1988—2018年的湖泊面积,综合分析2016—2018年间的非结冰期遥感湖泊面积与遥感湖泊水位变化,基于该时段范围的水位变化-面积变化关系和水量估算公式,估算1988—2018年湖泊水位水量变化与2001—2018年的年内变化,并结合GLDAS产品数据与雪线变化情况初步探讨湖泊变化的可能原因.结果表明:当惹雍错近30年湖泊面积扩张明显,湖泊水位、水量增加显著,相比1988年,2018年的湖泊面积、水位、水量分别增加21.1 km2、5.29 m、44.75亿m3.其中1988—1998年湖泊面积-水位-水量有所减少,2000—2018年间湖泊变化总体呈增加趋势.2001—2018年内湖泊面积、水位、水量变化呈现干湿季特征.1996—2014/2015年湖泊水量变化为38.3亿/35.5亿m3,水量变化趋势、变化量与以往对应时间段的研究结果具有较强的一致性.湖泊面积扩张主要发生在水下地形平缓的东南部和中西部区域.结合气候因素与雪线变化的分析表明,湖泊水量变化受降雨、气温影响复杂,长时间年际尺度上的湖泊水量增长与气温的一致性较降水量强,湖泊湿季受降水量与气温的影响都较大,其中2008—2018年的湿季降水量、气温与水量变化散点拟合的确定性系数R2分别为0.613、0.845.该研究表明Sentinel-3A合成孔径雷达数据在湖泊水量变化估算上的潜力,为利用单一且只具有短时段数据的卫星雷达数据估算长时间序列湖泊水量变化提供依据.
关键词:  Sentinel-3  合成孔径雷达  Landsat  水位  水量  当惹雍错
DOI:
分类号:
基金项目:国家重点研发计划项目(2017YFC0405701)、国家自然科学基金重大研究计划重点项目(91647203)和水利部水资源节约、管理、调度项目(Ss518020ZS11,Ss519038ZS11)联合资助.
Patterns and causes of changes in water level and volume in Tangra Yumco from 1988 to 2018 based on Landsat images and Sentinel-3A synthetic aperture radar
WANG Wenzhong, HUANG Dui, LIU Jiufu, LIU Hongwei, WANG Huan
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, P. R. China
Abstract:
This paper explored the feasibility of using water level data from a single short-time satellite source to estimate long-term changes in lake water volumes. Combined with Sentinel-3A synthetic aperture radar altimeter (SRAL) in 2016-2018 and lake water areas extracted from Landsat satellites during 1988-2018, the relationship between water level change and water area change in non-glacial period of 2016-2018 and the water volume estimation formula were used to analysis the inter-annual changes of water level and water volume from 1988 to 2018, the intra-annual change from 2001 to 2018 and the main causes of such changes. Results show that lake area, water level and water volume of Tangra Yumco rose significantly in the past three decades, increased respectively by 21.1 km2, 5.29 m and 4.47 billion m3 from 1988 to 2018. Although declines in the lake area and water level and water volume decreased during 1988-1998, the lake expanded during 2000-2018, exhibiting the characteristics of the dry and wet seasons during the period of 2001-2018. From 1996 to 2014/2015, the lake water volume change was from 3.83 billion to 3.55 billion m3. Such water volume changes are in good agreement with previous research. Lake expansion occurs in the southeastern and mid-western regions where the underground-water terrain is gentle. Based on the data from global land surface data assimilation system (GLDAS) and glacier snow lines, both the changes in precipitation and air temperature exhibited strong correlations (with R2 of 0.613 and 0.845, respectively) with the changes of water volume over the period 2008-2018. The wet season of lakes was significantly affected by precipitation and air temperature. This study shows the potential of sentinel-3A SYNTHETIC aperture radar data in the estimation of lake water quantity change, and provides a basis for the estimation of lake water quantity change in a long time series by using a single satellite radar data with only short-term data.
Key words:  Sentinel-3  synthetic aperture radar  Landsat  water level  water volume  Tangra Yumco
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