SWARM监测松辽流域陆地水储量变化的适用性分析

doi:10.13474/j.cnki.11-2246.2023.0336

测绘通报 ›› 2023, Vol. 0 ›› Issue (11): 107-111.doi: 10.13474/j.cnki.11-2246.2023.0336

SWARM监测松辽流域陆地水储量变化的适用性分析

孙炜程¹, 魏德宏¹, 罗朱键¹, 禤键豪², 张兴福¹

1. 广东工业大学土木与交通工程学院, 广东广州 510006;
2. 同济大学测绘与地理信息学院, 上海 200092

收稿日期:2023-04-12 修回日期:2023-09-25 发布日期:2023-12-07
通讯作者: 魏德宏。E-mail:weidh2011@163.com
作者简介:孙炜程(2000—),男,硕士生,研究方向为时变重力场的应用。E-mail:sun1314350@163.com
基金资助:
国家自然科学基金(42074003)

Applicability analysis of monitoring terrestrial water storage changes in the Songliao Basin based on SWARM

SUN Weicheng¹, WEI Dehong¹, LUO Zhujian¹, XUAN Jianhao², ZHANG Xingfu¹

1. School of Civil Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China;
2. College of Surveying and Geo-informatics, Tongji University, Shanghai 290002, China

Received:2023-04-12 Revised:2023-09-25 Published:2023-12-07

摘要/Abstract

摘要： 针对GRACE与GRACE-FO卫星存在衔接空白且卫星加速度计已出现受损的情况,SWARM卫星监测可作为一种有效补充的技术手段。本文选择ASU、IGG和COST-G等机构的SWARM时变模型监测松辽流域陆地水储量变化,并与GRACE、GRACE-FO时变模型进行比较。结果表明:①各SWARM时变模型的前10阶位系数与GRACE模型精度接近,其中IGG-SWARM模型经1200 km高斯滤波后的信噪比,相较于ASU和COST-G模型分别高62.47%、55.99%;②IGG-SWARM时变模型可探测松辽流域大尺度陆地水储量的时空变化特征,识别流域内的显著旱涝事件,与GRACE、GRACE-FO时变模型均反映出松辽流域在2015年7月—2020年12月的陆地水储量整体呈上升趋势,两者在数据重叠时段的相关系数可达0.6以上。因此,SWARM时变模型可适用于监测松辽流域的陆地水储量变化研究。

关键词: SWARM, GRACE, GRACE-FO, 松辽流域, 陆地水储量

Abstract: In view of the gap between GRACE and GRACE-FO satellites and the damage of the satellite accelerator, SWARM satellites monitoring can be used as an effective supplementary means. This paper selects the SWARM time-variable gravities from ASU, IGG and COST-G to monitor the terrestrial water storage changes in the Songliao Basin, and compares them with the GRACE and GRACEE-FO time-variable gravity. The results show that: ①The accuracy of the first 10-degree coefficients of each SWARM time-variable gravities are close to that of the GRACE gravity, and the signal-to-noise ratio of the IGG-SWARM gravity after 1200 km Gaussian filtering is 62.47% and 55.99% higher than that of the ASU and COST-G gravities. ②The IGG-SWARM time-variable gravity can detect the spatiotemporal characteristics of the large-scale terrestrial water storage in the Songliao Basin, and identify the significant drought and flood events. Both the IGG-SWARM and GRACE and GRACE-FO time-variable gravities indicate that the terrestrial water storage shows an overall upward trend from July 2015 to December 2020 in the Songliao Basin, and the correlation coefficients between them can reach more than 0.6 in the data overlap periods. Therefore, SWARM time-variable gravity can be applied to monitor terrestrial water storage changes in the Songliao Basin.

Key words: SWARM, GRACE, GRACE-FO, Songliao Basin, terrestrial water storage

中图分类号:

P237

孙炜程, 魏德宏, 罗朱键, 禤键豪, 张兴福. SWARM监测松辽流域陆地水储量变化的适用性分析[J]. 测绘通报, 2023, 0(11): 107-111.

SUN Weicheng, WEI Dehong, LUO Zhujian, XUAN Jianhao, ZHANG Xingfu. Applicability analysis of monitoring terrestrial water storage changes in the Songliao Basin based on SWARM[J]. Bulletin of Surveying and Mapping, 2023, 0(11): 107-111.

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SWARM监测松辽流域陆地水储量变化的适用性分析

Applicability analysis of monitoring terrestrial water storage changes in the Songliao Basin based on SWARM

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