三维识别框架下长江流域水文干旱特征分析OA
Hydrological Drought Characteristics in the Yangtze River Basin under the Three-Dimensional Identification Framework
基于GRACE/GRACE-FO的时变重力场数据,构建去除趋势项和季节项的GRACE-DSI干旱指数,在三维识别框架下对2003-2023年长江流域的干旱事件进行识别与分析,并通过贡献率与交换强度分析陆地水储量异常(TWSA)各组分变化及相互作用.结果表明:1)相较于游程理论,三维识别框架在研究期内共探测到19次干旱事件,在干旱的精确识别方面展现出突出优势;2)研究期内流域干旱频次与烈度呈显著空间差异,其中2022-2023年连旱是最严重的干旱事件,烈度为历年最高,且干旱影响面积超过90%;3)长江流域TWSA变化主要由地下水储量异常(GWSA)和土壤水储量异常(SMSA)主导,上游西部及中下游北部各组分间相互作用显著.
Based on the time-variable gravity field data from GRACE/GRACE-FO,a GRACE-DSI drought index with trend and seasonal components removed was constructed.Under a three-dimensional identification framework,drought events in the Yangtze River Basin from 2003 to 2023 were identified and analyzed,and the variations in TWSA components and their interactions were examined through contribution rates and exchange intensity.The results show that:1)Compared with the run theory,the three-dimensional identification frame-work detected 19 drought events during the study period,demonstrating clear advantages in accurate drought identification.2)Drought frequency and intensity exhibited pronounced spatial heterogeneity across the basin.The prolonged drought from 2022 to 2023 was the most severe event,with the highest intensity and an affected area exceeding 90%.3)Variations in TWSA were primarily dominated by GWSA and SMSA,with strong interactions among components in the western upstream and the northern parts of the middle and lower reaches.
施钰铭;游为
西南交通大学地球科学与工程学院,成都,611756西南交通大学地球科学与工程学院,成都,611756
天文与地球科学
GRACE时变重力场三维识别框架长江流域干旱监测时空特征
GRACE time-varying gravity fieldthree-dimensional identification frameworkYangtze River Basindrought monitoringspatiotemporal characteristics
《大地测量与地球动力学》 2026 (10)
1182-1190,9
国家自然科学基金(42474005,42174014).
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