Kai Liu

Dr. Kai Liu

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2019 in Geomorphology
Verified
Journal Article
Closed access
KLKai Liu
Kai Liu
CSChunqiao Song
Chunqiao Song
Linghong KeLinghong Ke
Linghong Ke
LJLing Jiang
Ling Jiang
YPYuanyuan Pan
Yuanyuan Pan
Ronghua MaRonghua Ma
Ronghua Ma

22 March 2023 in Nature Communications
Verified
Journal Article
Open access
PDF file
QWQianhan Wu
Qianhan Wu
Linghong KeLinghong Ke
Linghong Ke
JWJida Wang
Jida Wang
TPTamlin Pavelsky
Tamlin Pavelsky
GAGeorge Allen
George Allen
CSChunqiao Song
Chunqiao Song
Rivers are among the most diverse, dynamic, and productive ecosystems on Earth. River flow regimes are constantly changing, but characterizing and understanding such changes have been challenging from a long-term and global perspective. By analyzing water extent variations observed from four-decade Landsat imagery, we here provide a global attribution of the recent changes in river regime to morphological dynamics (e.g., channel shifting and anabranching), expansion induced by new dams, and hydrological signals of widening and narrowing. Morphological dynamics prevailed in ~20% of the global river area. Booming reservoir constructions, mostly skewed in Asia and South America, contributed to ~32% of the river widening. The remaining hydrological signals were characterized by contrasting hotspots, including prominent river widening in alpine and pan-Arctic regions and narrowing in the arid/semi-arid continental interiors, driven by varying trends in climate forcing, cryospheric response to warming, and human water management. Our findings suggest that the recent river extent dynamics diverge based on hydroclimate and socio-economic conditions, and besides reflecting ongoing morphodynamical processes, river extent changes show close connections with external forcings, including climate change and anthropogenic interference.

30 October 2020 in Water Resources Research
Verified
Journal Article
Open access
PDF file
KLKai Liu
Kai Liu
CSChunqiao Song
Chunqiao Song
JWJida Wang
Jida Wang
Linghong KeLinghong Ke
Linghong Ke
YZYunqiang Zhu
Yunqiang Zhu
ZLZhu Luo
Zhu Luo
Estimations of reservoir bathymetry and storage are of great significance due to their substantial impacts on hydrological processes and water resource management. However, existing approaches for reservoir bathymetry construction often rely on field measurements, which restricts their application at regional and global scales. This study proposes a novel Approach for Determining the BAthymetry and water storage of channel‐type Reservoirs, hereafter referred to as ADBAR, for which only open‐access digital elevation model (DEM) and satellite images are required. The basic idea of ADBAR is to utilize the geomorphological similarity and topographical continuity of the reservoir inundation area with its lateral valleys and upstream/downstream regions to predict underwater bathymetry. Forty‐eight reservoirs with different topographic and geometric characteristics were selected for method validation. The selected reservoirs were all impounded after the year 2000, so the modeled reservoir bathymetry can be validated by the “reference” reservoir storage calculated using the exposed topography in SRTM DEM and the mapped water extents from spectral images. The difference between the estimated and reference storages is about 13% on average. Furthermore, the modeled results in two selected basins with dense reservoir distributions, the Upper Yellow River Basin in China and the Tocantins River Basin in Brazil, are comparable with the documented effective storage capacities. The validations for both individual reservoirs and the two large basins demonstrate that ADBAR is a robust tool for estimating reservoir bathymetries and storage capacities and thus facilitates the modeling of reservoir impacts on water budgets at large and global scales.

2 February 2022 in Geophysical Research Letters
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Journal Article
Open access
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SLShuangxiao Luo
Shuangxiao Luo
CSChunqiao Song
Chunqiao Song
Linghong KeLinghong Ke
Linghong Ke
PZPengfei Zhan
Pengfei Zhan
CFChenyu Fan
Chenyu Fan
JZJingying Zhu
Jingying Zhu
Lake water storage changes are important factors that influence the climate, hydrological cycle, and environments. However, long‐term estimation of global lake storage changes is challenging because historical in‐situ hydrological observations worldwide are rarely available. Benefiting from the laser altimeter ICESat and ICESat‐2, we comprehensively assessed water level and volume changes in global natural lakes larger than 10 km2 during 2003–2020. The 6,567 lakes observable by ICESat/ICESat‐2, which account for ∼94% of the total global lake volume, showed a total water storage increase of 10.88 ± 16.45 Gt/yr during 2003–2020, and the estimate reaches 16.12 ± 20.41 Gt/yr when also taking account of the remaining unobserved lakes. Despite water gains in most natural lakes, large lakes under dry and high water‐stress conditions experienced dramatic water loss in general. Presumably, these drying lakes may continue to shrink with a warming climate and continuously increasing water demands in the future without further action.

10 December 2021 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
KLKai Liu
Kai Liu
Linghong KeLinghong Ke
Linghong Ke
JWJida Wang
Jida Wang
LJLing Jiang
Ling Jiang
KRKeith S. Richards
Keith S. Richards
CSChunqiao Song
Chunqiao Song
Drainage reorganization generally occurs on geological time scales under unstable river network conditions. A few local‐scale studies indicate that recent climatic changes might accelerate the drainage reorganization process. However, large‐scale drainage reorganization during the modern era is rarely documented. This study examines ongoing drainage reorganization on the endorheic Tibetan Plateau (TP) as a primary result of drastic lake expansion. A total of 11 drainage system reorganization events comprising 24 different lake basins and covering a total area of 61,115 km2 occurred between 2000 and 2018. Assuming the continued growth rate of TP lakes, we project another 20 basins will be reorganized before 2030. These drainage basin reorganizations not only alter hydrological processes in the endorheic TP but may also cause the endorheic‐exorheic transition, leading to the upstream sprawl of the Yangtze River Basin and posing outburst flooding risks on China's key infrastructure such as the Qinghai‐Tibet Railway.

1 June 2020 in Geomorphology
Verified
Journal Article
Closed access
KLKai Liu
Kai Liu
CSChunqiao Song
Chunqiao Song
Linghong KeLinghong Ke
Linghong Ke
LJLing Jiang
Ling Jiang
Ronghua MaRonghua Ma
Ronghua Ma