Evaluating dynamics of GRACE groundwater and its drought potential in Taihang Mountain Region, China

Liu, Mengzhu; Pei, Hongwei; Shen, Yanjun

doi:10.1016/j.jhydrol.2022.128156

Cited by 10 publications

(8 citation statements)

References 58 publications

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“…M. Liu et al. (2022) observed a significant decrease in terrestrial water storage in the Taihang Mountains, with vegetation restoration impacting this trend and even exacerbating the water resource crisis (Xie et al., 2019; Y. Zhou et al., 2023). More importantly, field sampling studies in this region have directly revealed severe degradation and mortality of restoration species caused by water deficits (X. Liang et al., 2022), which could be a potential consequence of hydrologically unsustainable ER practices.…”

Section: Discussionmentioning

confidence: 99%

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands

Fu,

Wang,

et al. 2024

Earth's Future

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China has undertaken extensive ecological restoration (ER) projects since the late 1970s in drylands, dominating the greening of drylands. The greening, especially ER‐induced, can affect regional water availability and even cause hydrological unsustainability (i.e., lead to a negative shift in ecosystem water supply and demand balances). However, there is still limited research on accurately identifying the hydrologically unsustainable greening areas (GA) in China's drylands. Here, we developed an ecosystem water supply‐demand indicator, namely, the water self‐sufficiency (WSS), defined as the ratio of water availability to precipitation. Using remote sensing and multisource synthesis data sets combined with trend analysis and time series detection, we conducted a spatially explicit assessment of the hydrological sustainability risk of greening in China's drylands in the context of ER projects over the period 1987–2015. The results showed that 17.15% (6.36 × 104 km2) of the GA faced a negative shift in the WSS (indicating hydrological unsustainability), mainly in Inner Mongolia, Shanxi, and Xinjiang provinces, driven by evapotranspiration. Moreover, 29.34% (1.09 × 105 km2) of the GA, whose area is roughly double that of hydrologically unsustainable GA, exhibited a potential water shortage with a significant WSS decline (−0.014 yr−1), concentrated in Inner Mongolia, Shaanxi, and Gansu provinces. The reliability of our findings was demonstrated through previous studies at the local scale and an analysis of soil moisture changes. Our findings offer precise grid‐scale identification of the hydrologically unsustainable GA, providing more specific spatial guidance for ER implementation and adaptation in China's drylands.

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Section: Discussionmentioning

confidence: 99%

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands

Fu,

Wang,

et al. 2024

Earth's Future

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“…Bhanja et al (2016) combined GRACE and a LSM to estimate the GWS anomaly (GWSA) in 12 major river basins in India; the estimated results were in good agreement with most observational estimates [18]. Using GRACE and the Global Land Data Assimilation System dataset, Liu et al (2022) analyzed the changes in GWS in the Taihang Mountains in the period 2003-2016 and the dominant driving factors influencing changes [19]. Alghafli et al (2023) used GRACE and Global Land Data Assimilation System products to calculate the changes in GWS from 2010 to 2016, comparing these changes with a time series of groundwater observations to verify the effectiveness of GRACE [20].…”

Section: Introductionmentioning

confidence: 90%

“…Thus, the calculated GWSA was compared to the observed groundwater level anomaly from the GBA average value perspective. We noted that the groundwater level data obtained from the water wells needed to be multiplied by specific yields to estimate the GWS [19]. Due to unreliable specific yield data, GWSA was verified by comparing the annual variation and trends of observed and calculated data.…”

Section: Verification Of Gwsamentioning

confidence: 99%

Impact of Climate Change on the Spatio-Temporal Variation in Groundwater Storage in the Guangdong–Hong Kong–Macao Greater Bay Area

et al. 2023

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The Guangdong–Hong Kong–Macao Greater Bay Area (GBA) is one of the world’s four major bay areas. Groundwater is indispensable in ensuring water supply for human production and living, as well as social and economic development. Studying the spatial–temporal variation in groundwater storage (GWS) and exploring the impact of climate change on GWS is of great significance for water resource management in the GBA. In this work, we conducted a simulation using the Community Land Model version 5.0 (CLM5.0) and combined it with Gravity Recovery and Climate Experiment (GRACE) data to calculate GWS in the GBA. In addition, based on the multiple linear regression model, we quantitatively assessed the effects of different climate factors on the change in GWS in the GBA. Comparisons with groundwater wells, automatic weather stations, and satellite observations demonstrated reasonable results. Our results showed that precipitation and evapotranspiration are the main factors affecting the change in GWS in the GBA. Precipitation dominates GWS anomaly changes in areas where wetting and precipitation vary drastically, such as the northern part of Foshan. GWS is closely related to evapotranspiration, in which water and heat changes are significant.

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“…The difference between the observed and modeled variables is considered to represent the component driven by anthropogenic factors. In the study of Liu et al [62], precipitation and temperature were considered the primary climatic factors affecting variations in groundwater storage. They established a multivariable regression model using the GWSA and climate variables, specifically precipitation and temperature anomalies, to quantify the impacts of climate and human factors on groundwater storage changes.…”

Section: Quantifying the Relative Contributions Of Climate And Human ...mentioning

confidence: 99%

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

Sun,

Hu,

Zhang

et al. 2024

Remote Sensing

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The measurement of groundwater exchange between neighboring regions is a critical topic in water resource management and can usually be achieved through a combination of field investigations and the use of groundwater flow models. In this study, we employed the water balance and Darcy’s law methods, utilizing downscaled Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) data to assess groundwater exchange patterns in the Beijing-Tianjin-Hebei (BTH) region of China. Additionally, we determined the contributions of human activities and climate factors to the observed variations via residual analysis. The results revealed a consistent decrease in groundwater storage in the study area since 2008, especially in the spring and summer months. The groundwater exchange rates calculated by 1° and 0.05° groundwater storage anomalies (GWSAs) were basically consistent, and the downscaled GWSAs could better reflect the small-scale groundwater exchange characteristics. The groundwater exchange rate showed a decreasing trend from the Piedmont plain to the coastal areas. A notable trend of declining groundwater exchange between the Taihang Mountains and Piedmont plains was observed, and the downward trend gradually intensified from north to south between 2003 and 2007. After 2008, there was an increasing trend, and coastal areas exhibited the smallest amount of groundwater exchange. Human activities emerged as the predominant factor accounting for more than 90.9% of the overall reduction in groundwater storage, while climate change imposed a minimal influence on groundwater storage variations. The insights obtained in this study hold significant implications for groundwater resource planning and management in the region.

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Evaluating dynamics of GRACE groundwater and its drought potential in Taihang Mountain Region, China

Cited by 10 publications

References 58 publications

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands

Locating Hydrologically Unsustainable Areas for Supporting Ecological Restoration in China's Drylands

Impact of Climate Change on the Spatio-Temporal Variation in Groundwater Storage in the Guangdong–Hong Kong–Macao Greater Bay Area

Providing Enhanced Insights into Groundwater Exchange Patterns through Downscaled GRACE Data

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