Publications related to the GRACE Missions (no abstracts)

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Mechanisms influencing changes in water cycle processes in the changing environment of the Songnen Plain, China

Lu, Zhong, Li, Kuo, Zhang, Jinliang, Lei, Guoping, Yu, Ziyang, and Li, Chaoqun, 2023. Mechanisms influencing changes in water cycle processes in the changing environment of the Songnen Plain, China. Science of the Total Environment, 905:166916, doi:10.1016/j.scitotenv.2023.166916.

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@ARTICLE{2023ScTEn.90566916L,
       author = {{Lu}, Zhong and {Li}, Kuo and {Zhang}, Jinliang and {Lei}, Guoping and {Yu}, Ziyang and {Li}, Chaoqun},
        title = "{Mechanisms influencing changes in water cycle processes in the changing environment of the Songnen Plain, China}",
      journal = {Science of the Total Environment},
     keywords = {Water cycle processes, Mechanisms of influence, Coupled surface-groundwater models, GRACE and GLDAS data, Songnen Plain},
         year = 2023,
        month = dec,
       volume = {905},
          eid = {166916},
        pages = {166916},
     abstract = "{The process of the land-surface water cycle has undergone substantial
        changes as a result of climate change and human activities.
        Disclosing the evolution of the water cycle and its mechanisms
        in a changing environment is a challenging and hot issue in
        hydrological science research, which is essential for regional
        ecological protection and sustainable development. Based on the
        MIKE SHE/MIKE 11 model, multi-source data are used to simulate
        the water cycle change process in the Songnen Plain from 1980 to
        2020. The study indicates that groundwater data inverted by
        GRACE and GLDAS data is relatively accurate, which effectively
        reflects the process of groundwater storage change in particular
        regions. Moreover, the surface-groundwater coupling model
        employs strongly correlated inverse groundwater data to simulate
        the water cycle change process in the Songnen Plain, yielding
        highly accurate simulation results. In terms of the impact of
        climate change and human activities on the water cycle process,
        climate change is the primary cause of changes in the regional
        water cycle, with contributions to actual evapotranspiration,
        surface runoff, and groundwater level of 77.04 \%, 70.88 \%, and
        67.86 \%, respectively. Nonetheless, as human activities
        intensify, their impact on the water cycle process progressively
        increases. From the perspective of the mechanism of water cycle
        change, the decrease in wetland area, the expansion of urban
        areas, and the increase in urban water demand are the primary
        causes of regional water cycle change between 1995 and 2010. The
        establishment of water conservation facilities and the dramatic
        increase in paddy field area are the primary causes of the water
        cycle change between 2011 and 2020. This study combines multi-
        source remote sensing data with hydrological models to simulate
        medium- and large-scale water cycle processes, providing new
        concepts and methods for examining water cycle processes in
        water-scarce areas.}",
          doi = {10.1016/j.scitotenv.2023.166916},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023ScTEn.90566916L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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