...
首页> 外文期刊>Journal of Hydrology >Monitoring lake level changes in China using multi-altimeter data (2016-2019)
【24h】

Monitoring lake level changes in China using multi-altimeter data (2016-2019)

机译:基于多高度计数据的中国湖泊水位变化监测(2016-2019)

获取原文
获取原文并翻译 | 示例

摘要

Changes in lake levels are an important indicator of water balance and climate change. However, it is not feasible to perform continuous in situ measurements for a large number of lakes in China. Satellite altimetry has been used successfully to monitor water levels of inland lakes in recent years. In this study, through waveform retracking, lake level estimation, lake level time series construction, multi-altimeter time series fusion and outlier detection, changes in water level of 340 lakes (> 10 km~2) in China between 2016 and 2019 were monitored using multi-altimeter data from Cryosat-2, Jason-2, Jason-3, and Sentinel-3A. Overall, the water levels of these lakes showed a mean increasing trend of 0.343 m/yr. The water levels of 274 lakes have a mean increasing trend of 0.465 m/yr and those of 66 showed a mean decreasing trend of -0.164 m/yr. The annual rate of change of lake water levels increased from south to north and decreased from west to east in terms of spatial distribution. The changes in lake level varied among different basins owing to their high spatial heterogeneity: most lakes in the Songhua and Liao River Basin and Yellow River Basin showed an increasing trend; all lakes in the Huai River Basin were relatively steady; 14 of 19 lakes in the Yangtze River Basin showed a decreasing trend; the great majority of lakes in the Inland River Basin showed an increasing trend; and the lakes located in the southeastern Qiangtang Basin, near the Nyainqen Tanglha Mountain, showed a decreasing trend. In addition, some lakes in the western Qiangtang Basin also showed a decreasing trend. Factor analysis indicated that the factors driving changes in lake level varied among different areas. However, temperature changes in autumn and winter were significantly correlated with changes in lake level.
机译:湖泊水位的变化是水平衡和气候变化的重要指标。然而,对我国大量湖泊进行连续原位测量并不可行。近年来,卫星测高已成功用于监测内陆湖泊的水位。本研究通过波形重跟踪、湖泊水位估计、湖泊水位时间序列构建、多高度计时间序列融合和异常值检测等方法,利用Cryosat-2、Jason-2、Jason-3和Sentinel-3A的多高度计数据,监测了2016—2019年中国340个湖泊(> 10 km~2)的水位变化。总体而言,这些湖泊的水位呈平均上升趋势,为0.343米/年。274个湖泊水位平均上升趋势为0.465 m/yr,66个湖泊水位平均下降趋势为-0.164 m/yr。从空间分布上看,湖泊水位年变化率由南向北递增,由西向东递减。不同流域湖泊水位变化具有较高的空间异质性:松花江、辽河流域和黄河流域湖泊大多呈上升趋势;淮河流域各湖泊相对稳定;长江流域19个湖泊中有14个呈下降趋势;内陆河流域绝大多数湖泊呈增加趋势;位于黔塘盆地东南部、临近宁琴唐拉山的湖泊呈减少趋势。此外,西羌塘盆地部分湖泊也呈现出减少趋势。因子分析表明,不同地区湖泊水位变化的驱动因素存在差异。然而,秋冬季冬季温变化与湖泊水位变化呈显著相关。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号