Mon Aug 24, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Ni, Bingbo, Ma, Qiusheng, Wu, Yanfeng, Liu, Xuemei, Xu, Y. Jun, Yu, Xiaofei, Maria, Kryukova, Sinkova, Irina Sergeevna, Kaminsky, Oleg Igorevich, Zou, Yuanchun, and Jiang, Ming, 2026. Persistent and rapid increases in water levels driven by extreme wet events in recent years in the largest freshwater lake in Northeast Asia. Science China Earth Sciences, 69(6):2118–2130, doi:10.1007/s11430-025-1923-9.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026ScChD..69.2118N,
author = {{Ni}, Bingbo and {Ma}, Qiusheng and {Wu}, Yanfeng and {Liu}, Xuemei and {Xu}, Y. Jun and {Yu}, Xiaofei and {Maria}, Kryukova and {Sinkova}, Irina Sergeevna and {Kaminsky}, Oleg Igorevich and {Zou}, Yuanchun and {Jiang}, Ming},
title = "{Persistent and rapid increases in water levels driven by extreme wet events in recent years in the largest freshwater lake in Northeast Asia}",
journal = {Science China Earth Sciences},
keywords = {Extreme wet events, Water-level reconstruction, GRACE TWSA, PLS-SEM, Transboundary hydrology, Khanka Lake, Earth Sciences, Physical Geography and Environmental Geoscience},
year = 2026,
month = jun,
volume = {69},
number = {6},
pages = {2118-2130},
abstract = "{Transboundary lakes are highly sensitive to climate change, yet data
scarcity has long constrained quantitative understanding of the
driving mechanisms behind extreme hydrological events. This
study presents an innovative integration of ICESat/ICESat-2
altimetry, Landsat imagery, and GRACE/GRACE-FO terrestrial water
storage anomalies within a Partial Least Squares Structural
Equation Modeling (PLS-SEM) framework, achieving the first
monthly-scale water level reconstruction (2002--2023) for the
transboundary Lake Khanka and quantifying multi-factor
contributions. Our findings reveal that: (1) Lake Khanka
exhibited a persistent upward trend post-2010, with a cumulative
rise of 0.79 m during 2012--2023, wherein 23 extreme wet events
between 2018--2023 drove a maximum water level increase of 0.74
m; (2) precipitation emerged as the dominant driver (PLS-SEM
weight=0.826), overwhelmingly outweighing inflow, outflow,
evaporation, and snowmelt. Results demonstrate that the recent
rapid water level rise is primarily attributed to the concurrent
intensification of extreme wet events in frequency, magnitude,
and duration, rather than human interventions or reservoir
operations. The open-source, reproducible workflow developed
herein provides a transferable paradigm for deciphering climate-
driven hydrological dynamics in transboundary lakes and
furnishes a scientific foundation for adaptive management
strategies in vulnerable freshwater systems facing amplified
hydroclimatic extremes.}",
doi = {10.1007/s11430-025-1923-9},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026ScChD..69.2118N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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