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两种重力卫星数据集的区域适用性分析 被引量:1

Regional Applicability Analysis of Two Gravity Satellite Datasets
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摘要 针对传统水资源监测方法在大尺度区域存在费时耗力、精度低、难以获取长时间序列结果等问题,提出了利用重力卫星遥感数据进行区域水资源反演监测的方法,并对不同数据集的区域适用性进行分析研究。分别采用CSR/JPL提供的GRACE卫星数据反演区域陆地水资源储量及地下水储量变化特征,并与实测地下水埋深反演计算的地下水储量变化结果进行对比验证。研究结果表明,两种重力卫星数据所反演的区域陆地水资源储量变化及地下水储量变化具有相似性,但在数值变化幅度及动态变化率等方面存在差异。在研究期的不同阶段,两种数据源卫星数据反演计算区域地下水储量变化与实测地下水埋深反演计算的地下水储量变化的相似性存在差异,CSR数据反演计算的结果优于JPL数据。 Aiming at the problems of traditional water resources monitoring methods in large-scale regions,such as time-consuming and labor-consuming,low accuracy,and difficulty in obtaining long-term sequence results,a method of using gravity satellite remote sensing data for regional water resources inversion and monitoring is proposed,and the regional applicability of different data sets are analyzed. In this paper,GRACE satellite data provided by CSR/JPL are used to invert the terrestrial water storage change and groundwater storage change,and it is compared and verified by the groundwater storage change results calculated by the inversion of the measured groundwater depth. The results show that,the trend of terrestrial water storage change and groundwater storage change inverted by the two gravity satellite data are similar,but there are differences in the magnitude of numerical change and the rate of dynamic change. At different stages of the study period,there are differences in the similarity between the groundwater storage change calculated by satellite data and groundwater depth,where the results of the CSR data inversion calculation are better than that of the JPL data.
作者 朱永华 罗平平 张洁 席小康 梁丽娥 ZHU Yonghua;LUO Pingping;ZHANG Jie;XI Xiaokang;LIANG Li’e(College of Civil Engineering and Architecture,Yan’an University,Yan’an,Shaanxi 716000,China;Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region,Ministry of Education,Chang’an University,Xi’an 710054,China;School of Water and Environment,Chang’an University,Xi’an,710054,China;Shaanxi Hydrological and Water Resources Survey Center,Xi’an 710054,China)
出处 《遥感信息》 CSCD 北大核心 2022年第1期55-60,共6页 Remote Sensing Information
基金 陕西省教育厅科技项目(21JK0982) 延安市科技局项目(2018KS-02) 延安大学博士研究项目(YDBK2019-35,YBDK2019-36,YBDK2017-19)。
关键词 重力卫星 陆地水资源储量 地下水储量 地下水埋深 适用性分析 gravity satellite terrestrial water storage groundwater storage groundwater depth applicability analysis
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