Quantifying Water Storage Changes and Groundwater Drought in the Huaihe River Basin of China Based on GRACE Data

Zunguang Zhou, Baohong Lu (), Zhengfang Jiang and Yirui Zhao
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Zunguang Zhou: College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Baohong Lu: College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Zhengfang Jiang: College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Yirui Zhao: College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China

Sustainability, 2024, vol. 16, issue 19, 1-18

Abstract: The Huaihe River Basin is an important ecological function conservation area in China, and it is also an important production area for national food, energy, minerals, and manufacturing. The groundwater storage and groundwater drought in this region are of great significance for ecological maintenance and water resources management. In this study, based on GRACE data and GLDAS data, a dynamic calculation method for groundwater storage in the Huaihe River Basin was developed, and a groundwater drought index (GRACE-GDI) was derived. By coupling GRACE-GDI with run theory, the quantitative identification of groundwater drought events, as well as their duration, intensity, and other characteristics within the basin, was achieved. The spatiotemporal changes in groundwater storage and groundwater drought in the Huaihe River Basin were analyzed using the developed method. The results showed that GRACE data are highly applicable in the Huaihe River Basin and is capable of capturing the spatiotemporal variations in groundwater storage in this region. Over the study period, mainly affected by rainfall, the terrestrial water storage and surface water storage in the Huaihe River Basin showed a decreasing trend, while groundwater storage showed a slight increasing trend. The duration of groundwater drought events in the basin ranged from 78 to 152 months, with an intensity of 82.77 to 104.4. The duration of drought gradually increased from north to south, while the intensity increased from south to north.

Keywords: GRACE data; drought index; trend analysis; water storage anomalies; groundwater drought (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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