Integrated study of water levels and water storage variations using GNSS-MR and remote Sensing: A case study of Sarez Lake, the world's Highest-Altitude dammed lake | |
Tu, Rui1,3; Wang, Xiaolei2; Xu, Nan2; Han, Junqiang3; Wang, Tao4; Wang, Weisheng5; Zhao, Feng5; Bayindalai5; Shonazarovich, Gulayozov Majid6,7 | |
2024-05-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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ISSN | 1569-8432 |
卷号 | 129页码:9 |
摘要 | Sarez Lake, recognized as the world's highest-altitude dammed lake, necessitates meticulous monitoring of dam deformation, lake water levels, and water storage fluctuations to ensure its safety. In pursuit of this critical objective, a Global Navigation Satellite System (GNSS) monitoring network has been established around the lake to compute real-time station coordinates for deformation monitoring. GNSS Multipath Reflectometry (GNSS-MR) technology has been introduced as an innovative approach, enabling water level retrieval through conventional GNSS geodetic receivers. However, the complex and rugged terrain surrounding Sarez Lake poses challenges to the application of GNSS-MR in this region. This research is dedicated to addressing the challenges posed by the limited available elevation range selection and the retrieval of inter-site water level combinations in such demanding terrain. It proposes a novel method for effectively discerning valid Signal-to-Noise Ratio (SNR) arcs and an inter-site inter-signal water level combination retrieval approach, resulting in a continuous sequence of water level retrievals for this region. The incorporation of remote sensing techniques further facilitates the estimation of water storage fluctuations in the area. The outcomes of this study demonstrate the efficacy of GNSSMR in capturing the lake's seasonal water-level variations, with retrieval uncertainties ranging from centimeters to low decimeters. The fusion of GNSS-MR with remote sensing data offers a comprehensive approach for monitoring the water levels and water storage fluctuations of Sarez Lake within its challenging environmental conditions. This research provides a valuable methodology applicable to the study and monitoring of other dammed lakes. |
关键词 | Sarez Lake GNSS Multipath Reflectometry Water level retrieval Water storage variations Inter -site combination retrieval method Remote sensing |
资助者 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" |
DOI | 10.1016/j.jag.2024.103854 |
关键词[WOS] | LANDSLIDE |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[42204043] ; National Natural Science Foundation of China[42101343] ; National Natural Science Foundation of China[4220040248] ; National Natural Science Foundation of China[41974032] ; National Natural Science Foundation of China[12203060] ; Chinese Academy of Sciences (CAS) program of "International Partnership"[131965KYSB20200031] |
资助者 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "International Partnership" ; Chinese Academy of Sciences (CAS) program of "International Partnership" |
WOS研究方向 | Remote Sensing |
WOS类目 | Remote Sensing |
WOS记录号 | WOS:001220154700001 |
出版者 | ELSEVIER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://210.72.145.45/handle/361003/14622 |
专题 | 导航与通信研究室 |
通讯作者 | Tu, Rui |
作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 2.Hohai Univ, Sch Earth Sci & Engn, Xi Kang Rd, Nanjing 211100, Peoples R China 3.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan East Rd, Xian 710600, Peoples R China 4.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China 5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Beijing South Rd, Urumqi 830011, Peoples R China 6.Res Ctr Ecol & Environm Cent Asia Dushanbe, Ayni St, Dushanbe 734063, Tajikistan 7.Natl Acad Sci Tajikistan, Inst Water Problems Hydropower & Ecol, Ayni St, Dushanbe 734063, Tajikistan |
推荐引用方式 GB/T 7714 | Tu, Rui,Wang, Xiaolei,Xu, Nan,et al. Integrated study of water levels and water storage variations using GNSS-MR and remote Sensing: A case study of Sarez Lake, the world's Highest-Altitude dammed lake[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2024,129:9. |
APA | Tu, Rui.,Wang, Xiaolei.,Xu, Nan.,Han, Junqiang.,Wang, Tao.,...&Shonazarovich, Gulayozov Majid.(2024).Integrated study of water levels and water storage variations using GNSS-MR and remote Sensing: A case study of Sarez Lake, the world's Highest-Altitude dammed lake.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,129,9. |
MLA | Tu, Rui,et al."Integrated study of water levels and water storage variations using GNSS-MR and remote Sensing: A case study of Sarez Lake, the world's Highest-Altitude dammed lake".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 129(2024):9. |
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