Spatial-temporal variations of groundwater storage in China: A multiscale analysis based on GRACE data

Zhao, Kun; Fang, Zihang; Li, Jingwei; He, Chunyang

doi:10.1016/j.resconrec.2023.107088

Cited by 8 publications

(6 citation statements)

References 40 publications

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“…Groundwater information can be inverted using GRACE-calculated groundwater storage anomaly data. Moreover, the results align with previous studies; the identified hotspots of significant GWS decline in Xinjiang described in this research are consistent with the findings [27,33,60]. The hotspot area of drastic GWS decline-specifically, the northern foothills of the Tianshan Mountains-is also identified as a key area for integrated management of groundwater over-extraction by the Ministry of Water Resources [65].…”

Section: Validation Of Groundwater Storage Estimatessupporting

confidence: 91%

“…In 2023, Zhao et al conducted an analysis of the multi-scale characteristics of GWS trends across China, encompassing national, as well as second-, third-, and fifth-level basins. This study revealed hotspots characterized by rapidly decreasing groundwater storage [33].…”

Section: Introductionmentioning

confidence: 78%

“…Seasonality, characterized by systematic variations that recur over fixed intervals, such as annually or monthly, due to seasonal factors, is a common phenomenon in environmental and socio-economic datasets [58]. Hence, the seasonal-trend decomposition using the Loess (STL) approach is employed for the decomposition of the GWSA time series [33]. The STL method enables the independent assessment of long-term trends, seasonal cycles, and random disturbances within the time series, offering a flexible and robust non-parametric tool for time series analysis.…”

Section: Spatial and Temporal Analysis Of Gwsa Seasonal Effect Remova...mentioning

confidence: 99%

“…Incorporating GRACE satellite data into the hydrologic model could refine the parameters or states of the model. Future research efforts could enhance the modeling of interactions between surface runoff, groundwater, and anthropogenic activities to more accurately reflect hydrologic processes [33]. In addition, data assimilation or machine learning techniques by combining GRACE satellites with multisource data can be considered to improve the spatial resolution and accuracy of GWS monitoring results [68].…”

Section: Shortcomings and Prospectsmentioning

confidence: 99%

See 3 more Smart Citations

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

Duan,

Chen,

et al. 2024

Remote Sensing

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Situated in China’s arid and semi-arid zones, the Xinjiang region heavily relies on groundwater for its freshwater supply. This study utilizes data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission, covering the years 2003 to 2021, to quantitatively evaluate the temporal and spatial changes in groundwater storage anomalies (GWSA) in the Xinjiang region. Furthermore, we incorporate the HydroSHEDS dataset to examine the spatial variations in groundwater storage anomalies across watersheds of varying scales. Based on our findings, the GWSA decreased during the study period at a mean rate of −0.381 mm/month, marked by a consistent trend and notable interannual variability. In addition, significant regional disparities are observed; while groundwater storage in the southeastern watersheds is on an upward trend, a general decline is noted in the northern and central regions. The most pronounced depletion is detected in the northwest, especially in the Ili River basin and along the western slopes of the Tianshan Mountains. These changes are intricately linked to anthropogenic factors, including population growth and escalating water demands. In response, the study advocates for the development and enforcement of more rigorous and scientifically informed groundwater management strategies to promote sustainable water use in Xinjiang.

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Section: Validation Of Groundwater Storage Estimatessupporting

confidence: 91%

Section: Introductionmentioning

confidence: 78%

Section: Spatial and Temporal Analysis Of Gwsa Seasonal Effect Remova...mentioning

confidence: 99%

Section: Shortcomings and Prospectsmentioning

confidence: 99%

See 2 more Smart Citations

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

Duan,

Chen,

et al. 2024

Remote Sensing

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“…Currently, numerous studies have significantly advanced our understanding of how human activities and climate change affect GWS [ 7 ]. Notably, anthropogenic groundwater extraction, such as agricultural irrigation, industrial, and other sectors, plays a major role in depleting GWS than climate impact [ 6 , 8 , 9 ]. Despite the increasing number of studies on the societal impacts of groundwater depletion, they predominantly focused on agriculture or industry [ 10 ], while studies on examining the quantitative effects and comparative analyses of multiple human activities that utilize groundwater are lacking.…”

Section: Introductionmentioning

confidence: 99%

How Human Activities Affect Groundwater Storage

Zhao,

Zhang,

Liu

et al. 2024

Research

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Despite the recognized influence of natural factors on groundwater, the impact of human activities remains less explored because of the challenges in measuring such effects. To address this gap, our study proposes an approach that considers carbon emissions as an indicator of human activity intensity and quantifies their impact on groundwater storage. The combination of carbon emission data and groundwater storage data for 17,152 grid cells over 16 years in 4 typical basins shows that they were generally negatively correlated, whereas both agriculture and aviation had positive impacts on groundwater storage. The longest impact from aviation and agriculture can even persist for 7 years. Furthermore, an increase of 1 Yg CO 2 /km 2 per second in emissions from petroleum processing demonstrates the most pronounced loss of groundwater storage in the Yangtze River Basin (approximately 4.1 mm). Moreover, regions characterized by high-quality economic development tend to have favorable conditions for groundwater storage. Overall, our findings revealed the substantial role of human activities in influencing groundwater dynamics from both temporal and spatial aspects. This study fills a crucial gap by exploring the relationship between human activities and groundwater storage through the introduction of a quantitative modeling framework based on carbon emissions. It also provides insights for facilitating empirical groundwater management planning and achieving optimal emission reduction levels.

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Response of ecological environment quality to land use transition based on dryland oasis ecological index (DOEI) in dryland: A case study of oasis concentration area in Middle Heihe River, China

Chen,

Zhao,

2024

Ecological Indicators

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Spatial-temporal variations of groundwater storage in China: A multiscale analysis based on GRACE data

Cited by 8 publications

References 40 publications

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

Temporal and Spatial Variation Analysis of Groundwater Stocks in Xinjiang Based on GRACE Data

How Human Activities Affect Groundwater Storage

Response of ecological environment quality to land use transition based on dryland oasis ecological index (DOEI) in dryland: A case study of oasis concentration area in Middle Heihe River, China

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