China’s inland water dynamics: The significance of water body types

Zhu, Jingying; Song, Chunqiao; Wang, Jida; Ke, Linghong

doi:10.1073/pnas.2005584117

Cited by 47 publications

(25 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhu et al (1) complement our recent study on the characteristics and change of inland water bodies (WBs) in China (2) by further examining the epochal changes of three types of WBs larger than 1 km 2 . They first categorize these WBs into saline lakes, freshwater lakes, and artificial reservoirs based on multiple national lake/reservoir surveys, and then reexplore their area changes using the Global Surface Water Dataset (GSWD) following Feng et al (2).…”

mentioning

confidence: 82%

“…(2) provide a synoptic view of China's WBs and their dynamics at the national and basin scales, opening doors for much more research. The study by Zhu et al (1) shows that more detailed analyses can be sprung from Feng et al (2). In addition, we believe it is essential to use a holistic approach to detect the spatial, temporal, and thematic (i.e., transitions among water and nonwater land covers) changes of WBs in the context of landscape dynamics so that the driving forces and consequences can be elucidated and understood.…”

mentioning

confidence: 98%

See 1 more Smart Citation

Reply to Zhu et al.: Holistic analysis of water body changes

Zhao

Liu

Feng

2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

mentioning

confidence: 82%

mentioning

confidence: 98%

Reply to Zhu et al.: Holistic analysis of water body changes

Zhao

Liu

Feng

2020

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

“…Owing to remote sensing techniques, numerous studies focus on largescale research, which substantially contributes to revealing the characteristics of lake changes in different global regions (Pekel et al, 2016;Pickens et al, 2020;J. Wang et al, 2018;J. Zhu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Century‐Scale Reconstruction of Water Storage Changes of the Largest Lake in the Inner Mongolia Plateau Using a Machine Learning Approach

Fan

Song

et al. 2021

Water Resources Research

Self Cite

View full text Add to dashboard Cite

Lake Hulun is the fifth‐largest lake in China, playing a substantial role in maintaining the balance of the grassland ecosystem of the Mongolia Plateau, which is a crucial ecological barrier in North China. To better understand the changing characteristics of Lake Hulun and the driving mechanisms, it is necessary to investigate the water storage changes of Lake Hulun on extended timescales. The main objective of this study is to reconstruct the water storage time series of Lake Hulun over the past century. We employed a machine learning approach termed the extreme gradient boosting tree (XGBoost) to reconstruct the water storage changes over a one‐century timescale based on the generated bathymetry and satellite altimetry data and investigated the relationships with hydrological and climatic variables in long term. Results show that the water storage changes from 1961 to 2019 were featured by four fluctuation phases, with the highest water storage observed in 1991 (14.02 Gt) and the lowest point in 2012 (5.18 Gt). The century‐scale reconstruction result reveals that the water storage of Lake Hulun reached the highest point in the 1960s within the period of 1910–2019. The lowest stage occurred in the sub‐period of the 1930s–1940s, which was even lower than the alerted shrinkage stage in 2012. The predictive model results indicate the effective performance of the XGBoost model in reconstructing century‐scale water storage variations, with the mean absolute error of 0.68, normalized root mean square error of 0.11, Nash–Sutcliffe efficiency of 0.97, and correlation coefficient of 0.94. The annual fluctuations of water storage were mostly affected by precipitation, followed by vapor pressure, temperature, potential evapotranspiration, and wet day frequency. The dominating characteristics of different variables vary evidently with different sub‐periods. The atmospheric circulations of the Arctic Oscillation, El Nino Southern Oscillation, Pacific Decadal Oscillation, and North Atlantic Oscillation have tight associations with the water storage variations of Lake Hulun, which change with different study periods.

show abstract

“…Reservoirs play essential roles in water resource managements by facilitating flood control, hydroelectric power generation, and water supply (van Bemmelen et al, 2016). To satisfy the emerging need for water use and regulation from human beings, a large number of reservoirs have been constructed since the late half of the 20th century, and the booming reservoir impoundments may last in the next several decades (Busker et al, 2018; Zhu et al, 2020). Given that reservoir impoundments and their operations have substantial impacts on the terrestrial water budget, the characterization of reservoir bathymetry and storage capacities from catchment to global scale is of great interest to hydrologists, geomorphologists, climate scientists, hydraulic engineers, and policymakers (Grill et al, 2019; Yigzaw et al, 2018; Zhao & Gao, 2019).…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing‐Based Modeling of the Bathymetry and Water Storage for Channel‐Type Reservoirs Worldwide

Liu

Song

Wang

et al. 2020

Water Resources Research

Self Cite

View full text Add to dashboard Cite

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.

show abstract

China’s inland water dynamics: The significance of water body types

Cited by 47 publications

References 8 publications

Reply to Zhu et al.: Holistic analysis of water body changes

Reply to Zhu et al.: Holistic analysis of water body changes

Century‐Scale Reconstruction of Water Storage Changes of the Largest Lake in the Inner Mongolia Plateau Using a Machine Learning Approach

Remote Sensing‐Based Modeling of the Bathymetry and Water Storage for Channel‐Type Reservoirs Worldwide

Contact Info

Product

Resources

About