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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

文献类型：期刊论文

作者Tu, Rui5,7; Wang, Xiaolei6; Xu, Nan6; Han, Junqiang5; Wang, Tao4; Wang, Weisheng3; Zhao, Feng3; Bayindalai3; Shonazarovich, Gulayozov Majid1,2
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2024-05-01
卷号129页码:9
关键词Sarez Lake GNSS Multipath Reflectometry Water level retrieval Water storage variations Inter -site combination retrieval method Remote sensing
ISSN号1569-8432
DOI10.1016/j.jag.2024.103854
英文摘要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.
WOS关键词LANDSLIDE
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]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:001220154700001
出版者ELSEVIER
资助机构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"
源URL[http://210.72.145.45/handle/361003/14622]  
专题国家授时中心_导航与通信研究室
通讯作者Tu, Rui
作者单位1.Natl Acad Sci Tajikistan, Inst Water Problems Hydropower & Ecol, Ayni St, Dushanbe 734063, Tajikistan
2.Res Ctr Ecol & Environm Cent Asia Dushanbe, Ayni St, Dushanbe 734063, Tajikistan
3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Beijing South Rd, Urumqi 830011, Peoples R China
4.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China
5.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan East Rd, Xian 710600, Peoples R China
6.Hohai Univ, Sch Earth Sci & Engn, Xi Kang Rd, Nanjing 211100, Peoples R China
7.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
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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