【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。更多还原

【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.更多还原