Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data
Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data
复制标题
DOI：
10.1016/j.jhydrol.2016.11.024
复制
发表时间：
2017-01-01
影响因子：
6.4
通讯作者：
Bauer-Gottwein, Peter
中科院分区：
文献类型：
--
作者：
Jiang, Liguang;Nielsen, Karina;Bauer-Gottwein, Peter
青藏高原的湖泊不仅具有水资源的价值，而且是气候变化的重要指标，因此备受关注。然而，该区域的现场数据极为稀少，只有少数湖泊有水位计测量。卫星测高技术已成功地用于监测湖泊水位。在这项研究中，Cryosat-2 SARIn模式数据在2010-2015年期间被用来调查最近的湖泊水位变化。对TP上70个最大湖泊（> 100 km（2））的水位估算表明，48个湖泊的水位呈现上升趋势（平均值为100 km（2））。0.28+/- 0.06米/年），而其他22个则呈轻微下降趋势（平均-0.10 +/- 0.04米/年）。为了与2003-2009年期间的变化率进行比较，还使用了覆盖70个湖泊中的42个湖泊的ICESat数据。结果表明，2003-2015年期间，28个湖泊保持上升趋势，变化率具有可比性。TP北方湖泊的水位明显上升（平均值）。0.37+/- 0.10 m/yr），而南部地区湖泊稳定或减少，即使在降水量高的冰川流域。因子分析表明，湖泊变化的驱动因子是可变的，由于高度的空间异质性。然而，秋/冬季温度在湖平面变化中起着重要作用。这些结果表明，在气候变化的影响下，青藏高原上的湖泊仍在快速变化，尤其是在北方地区，但其驱动因素是可变的，需要更多的研究来了解所观察到的变化背后的机制。(C)2016爱思唯尔B. V.保留所有权利。
Lakes on the Tibetan Plateau (TP) are of great interest due to their value as water resources but also as an important indicator of climate change. However, in situ data in this region are extremely scarce and only a few lakes have gauge measurements. Satellite altimetry has been used successfully to monitor lake levels. In this study, Cryosat-2 SARIn mode data over the period 2010-2015 are used to investigate recent lake level variations. The estimated water levels of the 70 largest lakes (> 100 km(2)) on the TP show that 48 lakes reveal a rising trend (avg. 0.28 +/- 0.06 m/yr) while the other 22 show a slightly decreasing trend (avg. -0.10 +/- 0.04 m/yr). To compare with the change rates during 2003-2009, ICESat data which cover 42 of the 70 lakes are also used. When combining the data, the results show that during the period of 2003-2015, 28 lakes maintained a rising trend and the change rates are comparable. Lakes in the northern part of the TP experienced pronounced rising (avg. 0.37 +/- 0.10 m/yr), while lakes in southern part were steady or decreasing even in glaciated basins with high precipitation. Factor analysis indicates that driving factors for lake change are variable due to high spatial heterogeneity. However, autumn/winter temperature plays an important role in lake level change. These results demonstrate that lakes on the TP are still rapidly changing under climate change, especially in northern part of the TP, but the driving factors are variable and more research is needed to understand the mechanisms behind observed changes. (C) 2016 Elsevier B.V. All rights reserved.