Water volume changes and influencing factors in a typical lake on the Qinghai-Tibet Plateau: a case study of the basin of Lake Xiao Qaidam

In recent decades, significant changes have occurred in the river and lake systems of the Tibetan Plateau. This paper focuses on Lake Xiao Qaidam situated in the northeastern Qinghai-Tibet Plateau’s Qaidam Basin. By utilizing remote sensing and meteorological reanalysis data, as well as the Pettitt mutation point test and Mann-Kendall trend analysis, the study analyzes meteorological and hydrological data from 1987 to 2022 to explore the relationship between the lake system and regional climate factors. The research aims to uncover the mechanisms driving changes in the plateau's endorheic water systems and to inform the development of future management strategies. The findings reveal that rising temperature and increased glacier meltwater influx have caused significant increases in Lake Xiao Qaidam's surface area, volume, and water level, with the lake's area now reaching 120 km2. CMIP6 simulations suggest that these trends will likely persist, with the basin's increment in water volume projected to peak at approximately 1.6 km3 around 2033. This study confirms that climate change is a critical driver of hydrological changes in Lake Xiao Qaidam and its surrounding areas. These findings underscore the urgent need for enhanced water resource management.

Authors

Institutions

Publication Details

Journal
International Journal of Digital Earth
Published
2025-04-09
DOI
https://doi.org/10.1080/17538947.2025.2488944
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Water volume changes and influencing factors in a typical lake on the Qinghai-Tibet Plateau: a case study of the basin of Lake Xiao Qaidam

Xiaofeng Guo, H. Long, Yiqun Liu, Harrison Odion Ikhumhen et al.
International Journal of Digital Earth
Hydrology and Watershed Management Studies
article

Water volume changes and influencing factors in a typical lake on the Qinghai-Tibet Plateau: a case study of the basin of Lake Xiao Qaidam

Xiaofeng Guo, H. Long, Yiqun Liu, Harrison Odion Ikhumhen, Chun Fang, Shanlong Lu, Yang Meng, Yi Li, Jifang Ma, Xinru Li, Na Han, Xinya Kuang, Yuan Guo
article en

Abstract

In recent decades, significant changes have occurred in the river and lake systems of the Tibetan Plateau. This paper focuses on Lake Xiao Qaidam situated in the northeastern Qinghai-Tibet Plateau’s Qaidam Basin. By utilizing remote sensing and meteorological reanalysis data, as well as the Pettitt mutation point test and Mann-Kendall trend analysis, the study analyzes meteorological and hydrological data from 1987 to 2022 to explore the relationship between the lake system and regional climate factors. The research aims to uncover the mechanisms driving changes in the plateau's endorheic water systems and to inform the development of future management strategies. The findings reveal that rising temperature and increased glacier meltwater influx have caused significant increases in Lake Xiao Qaidam's surface area, volume, and water level, with the lake's area now reaching 120 km2. CMIP6 simulations suggest that these trends will likely persist, with the basin's increment in water volume projected to peak at approximately 1.6 km3 around 2033. This study confirms that climate change is a critical driver of hydrological changes in Lake Xiao Qaidam and its surrounding areas. These findings underscore the urgent need for enhanced water resource management.

International Journal of Digital EarthVol. 18(1)
Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Clean water and sanitation
Openalex Percentile: Top 92%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.