Hydrological Evolution of Siling Co over the Past 38 Years: Lake Area, Water Level Monitoring, and Water Storage Estimation Based on Multi-Source Remote Sensing

Lakes on the Tibetan Plateau are sensitive indicators of climate change. Their water storage variations play an important role in regional hydrological processes and ecological security. This study is based on multi-source remote sensing and meteorological data from 1988 to 2025. Lake area was extracted using the MNDWI and the Otsu threshold method. HYDROWEB water level data were used to establish an area-water level relationship. This relationship was then applied to reconstruct a long-term water level time-series and estimate changes in lake water storage. GRACE/GRACE-FO data and meteorological observations were further analyzed to identify the driving factors. The results show that Siling Co experienced a persistent expansion over the study period, with the lake area increasing by 805.83 km2, water level rising by 14.33 m, and water storage increasing by 30.42 km3. Correlation analysis indicates that air temperature, precipitation, and evaporation jointly influenced lake water storage variations. Among these factors, precipitation plays a relatively more important role. During 2002–2019, lake water storage changes (LWSC) were highly consistent with terrestrial water storage (TWS) variations. However, TWS anomalies lagged approximately one year behind LWSC. These findings improve the understanding of the long-term hydrological responses of Siling Co to climate change. They also provide a scientific basis for water resource management and infrastructure planning in the region.

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Publication Details

Journal
Remote Sensing
Published
2026-07-22
DOI
https://doi.org/10.3390/rs18142427
Primary Topic
Geophysics and Gravity Measurements
Type
article
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article

Hydrological Evolution of Siling Co over the Past 38 Years: Lake Area, Water Level Monitoring, and Water Storage Estimation Based on Multi-Source Remote Sensing

Wenyu Gong, Xinxin Li, Guangtong Sun, Guohong Zhang et al.
Remote Sensing
Geophysics and Gravity Measurements
article

Hydrological Evolution of Siling Co over the Past 38 Years: Lake Area, Water Level Monitoring, and Water Storage Estimation Based on Multi-Source Remote Sensing

Wenyu Gong, Xinxin Li, Guangtong Sun, Guohong Zhang, Liu Zh, Jun Hua
article en

Abstract

Lakes on the Tibetan Plateau are sensitive indicators of climate change. Their water storage variations play an important role in regional hydrological processes and ecological security. This study is based on multi-source remote sensing and meteorological data from 1988 to 2025. Lake area was extracted using the MNDWI and the Otsu threshold method. HYDROWEB water level data were used to establish an area-water level relationship. This relationship was then applied to reconstruct a long-term water level time-series and estimate changes in lake water storage. GRACE/GRACE-FO data and meteorological observations were further analyzed to identify the driving factors. The results show that Siling Co experienced a persistent expansion over the study period, with the lake area increasing by 805.83 km2, water level rising by 14.33 m, and water storage increasing by 30.42 km3. Correlation analysis indicates that air temperature, precipitation, and evaporation jointly influenced lake water storage variations. Among these factors, precipitation plays a relatively more important role. During 2002–2019, lake water storage changes (LWSC) were highly consistent with terrestrial water storage (TWS) variations. However, TWS anomalies lagged approximately one year behind LWSC. These findings improve the understanding of the long-term hydrological responses of Siling Co to climate change. They also provide a scientific basis for water resource management and infrastructure planning in the region.

Remote SensingVol. 18(14)
Institute of Disaster Prevention (CN), China University of Petroleum, East China (CN), Institute of Geology, China Earthquake Administration, China Earthquake Administration (CN)
Openalex Percentile: Top 10%
Geophysics and Gravity Measurements
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