测绘通报 ›› 2025, Vol. 0 ›› Issue (1): 42-51.doi: 10.13474/j.cnki.11-2246.2025.0108

• 生态环境动态监测 • 上一篇    下一篇

基于多源卫星测高数据的黄河流域主要湖泊水库水位变化监测

毕龙生, 何荣, 路锦华   

  1. 河南理工大学测绘与国土信息工程学院, 河南 焦作 454100
  • 收稿日期:2024-04-10 发布日期:2025-02-09
  • 通讯作者: 路锦华。E-mail:929565652@qq.com
  • 作者简介:毕龙生(2000—),男,硕士生,主要研究方向为变形监测与遥感。E-mail:HPUbls@outlook.com
  • 基金资助:
    NSFC-区域创新发展联合基金重点项目(U22A20566)

Monitoring of water level change of major lakes and reservoirs in the Yellow River basin based on multi-source satellite altimetry data

BI Longsheng, HE Rong, LU Jinhua   

  1. School of Geomatics and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454100, China
  • Received:2024-04-10 Published:2025-02-09

摘要: 针对单一卫星数据进行大面积长期连续水位监测方面的局限性,本文通过融合ICESat、Cryosat-2、ICESat-2星载高度计数据,并结合实测水位数据和气象信息,构建了2003—2022年黄河流域主要湖泊和水库的水位序列,并对不同算法的精度进行比较。结果表明,ICESat-2和 Cryosat-2自带的算法均能够有效地提取水位数据,其中ICESat-2精度最高;降水量与内陆湖泊水位呈正相关,与水库水位呈负相关;此外,全球气候变暖及其引发的蒸发散量增加也是影响水位变化的重要因素。

关键词: ICESat, ICESat-2, Cryosat-2, 黄河流域, 水位变化

Abstract: In response to the limitations of single satellite data in conducting large-area, long-term, and continuous water level monitoring, this paper integrates data from ICESat, CryoSat-2, and ICESat-2 satellite altimeters, and combines actual water level data with meteorological information to construct a water level sequence for major lakes and reservoirs in the Yellow River basin from 2003 to 2022. The paper also compares the accuracy of different algorithms. The results indicate that the built-in algorithms of ICESat-2 and CryoSat-2 can effectively extract water level data, with ICESat-2 demonstrating the highest precision. Rainfall is positively correlated with the water levels of inland lakes and negatively correlated with those of reservoirs. Additionally, global warming and the consequent increase in evaporation are significant factors affecting water level changes.

Key words: ICESat, ICESat-2, Cryosat-2, Yellow River basin, water level change

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