利用ICESat-2激光测高和谷歌地球发动机监测黄河流域湖泊水库水位和体积变化

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2022-09-01 DOI:10.1016/j.jher.2022.07.005
Cong Liu , Ronghai Hu , Yanfen Wang , Hengli Lin , Hong Zeng , Dongli Wu , Zhigang Liu , Yi Dai , Xiaoning Song , Changliang Shao
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引用次数: 7

摘要

对黄河流域湖泊水库水位和水量变化进行监测,对于深入认识黄河流域水资源的时空动态,更好地利用和管理水资源具有重要意义。近年来,对内陆水域水位和体积变化监测的研究较多,但主要集中在雷达测高和全波形LiDAR ICESat,该卫星已于2010年退役。基于最新的光子计数激光雷达ICESat-2的研究报道很少。与以往的传感器相比,ICESat-2在足迹尺寸、发射频率、脉冲数等方面具有很大的优势,但其在监测内陆水域水位和体积变化方面的性能还没有得到充分的探索。基于ICESat-2和谷歌地球引擎对黄河流域11个湖泊和8个水库的水位和体积变化进行了空间分布研究,并分析了影响测量不确定性的因素。青海湖实测水位验证结果表明,参考坐标系转换后所得结果的均方根误差(RMSE)仅为7 cm。研究发现,天然湖泊水位趋势具有明显的季节变化特征,而水库水位趋势具有明显的上升和下降趋势。此外,降水对湖泊自然水位的变化起决定性作用,并间接影响水库水量的人工控制。水量变化监测的不确定度主要受湖泊水位测量不确定度的影响,而水库则受水位和面积测量不确定度的综合影响。湖泊水位测量的稳定性随光子数的增加而增加。引入ICESat-2 ATL13有效波高可能导致水位测量的标准偏差较大。根据不确定度传播规律,ICESat-2与GEE联合估算水量变化的不确定度小于9%。
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Monitoring water level and volume changes of lakes and reservoirs in the Yellow River Basin using ICESat-2 laser altimetry and Google Earth Engine

Monitoring the water level and volume changes of lakes and reservoirs is essential for deepening our understanding of the temporal and spatial dynamics of water resources in the Yellow River Basin, with a view to better utilizing and managing water resources. In recent years, there have been many studies on monitoring water level and volume changes in inland waters, but they were mainly focused on radar altimetry and the full waveform LiDAR ICESat, which was retired in 2010. Few studies based on the latest photon-counting LiDAR ICESat-2 have been reported. Compared with previous sensors, ICESat-2 has great advantages in footprint size, transmitting frequency, pulse number, etc, but its performance in monitoring water level and volume changes in inland waters has not been fully explored. Here we investigated the spatial distribution of water level and volume changes of 11 lakes and 8 reservoirs in the Yellow River Basin based on ICESat-2 and Google Earth Engine, and analyzed the factors affecting the measurement uncertainties. In-situ validation of lake level in Lake Qinghai indicates that the Root Mean Square Error (RMSE) of our result is only 7 cm after the reference coordinate system conversion. We found that the water level trend of the natural lake shows significant seasonal variations, while the water level trend of the reservoir shows a sharp rise and fall. In addition, precipitation plays a decisive role in the changes in natural lake levels and indirectly affects the artificial control of reservoirs’ water discharges. The uncertainty of water volume change monitoring is mainly affected by water level measurement uncertainty for lakes, while for reservoirs, that is affected by the combination of water level and area measurement uncertainties. The stability of lake level measurement increases with the increase in photon counts. The introduction of ICESat-2 ATL13 Significant Wave Height might lead larger standard deviation in water level measurement. According to the law of propagation of uncertainty, the uncertainty of the water volume change estimation by the combination of ICESat-2 and GEE is less than 9 %.

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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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