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Downscaling of Groundwater Storage Change in Haihe River Basin Based on GWR Model
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Shang-fu HUANG1, 2a, Guang-yao DUAN1, Ji-jun HE2b, Xia WU1, Shuai YU1
Water Resources and Power | 2023, 41(11) : 39 - 42
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Water Resources and Power | 2023, 41(11): 39-42
• HYDROLOGY, WATER RESOURCES AND ENVIRONMENT •
Downscaling of Groundwater Storage Change in Haihe River Basin Based on GWR Model
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Shang-fu HUANG1, 2a, Guang-yao DUAN1, Ji-jun HE2b, Xia WU1, Shuai YU1
Affiliations
  • 1.Beijing Water Science and Technology Institute, Beijing 100048, China
  • 2a.College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • 2b.College of Elementary Education, Capital Normal University, Beijing 100048, China
Published: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20230201
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Using GRACE gravity satellite data combined with GLDAS data inversion can obtain the change of groundwater reserves, which can monitor the change of groundwater reserves in the study area on a large scale, but the spatial resolution of the obtained data is only 0.25°, and it is difficult to be applied in the small scale. Based on the spatial relationship between GRACE terrestrial water storage and GLDAS shallow surface water storage and precipitation, NDVI, a downscaling method of groundwater storage change based on geographically weighted regression model (GWR model) was proposed, and the spatial resolution of groundwater storage was downscaled to 1 km. The results show that the GWR model downscaling method is successfully applied to the Haihe River Basin. The correlation coefficients between the groundwater storage data after downscaling and the measured groundwater level data at 46 verification points are all greater than 0.6, and the simulation results are reasonable and reliable. Furthermore, the temporal and spatial variation characteristics of groundwater storage in Haihe River Basin and Beijing Plain were analyzed by using the downscaling results. The results is highly consistent with the existing data, indicating that the downscaling method based on GWR model can effectively improve the spatial resolution of groundwater storage change data.

GRACE  /  GLDAS  /  groundwater storage changes  /  GWR downscaling  /  water resources monitoring
Shang-fu HUANG, Guang-yao DUAN, Ji-jun HE, Xia WU, Shuai YU. Downscaling of Groundwater Storage Change in Haihe River Basin Based on GWR Model[J]. Water Resources and Power, 2023 , 41 (11) : 39 -42 . DOI: 10.20040/j.cnki.1000-7709.2023.20230201
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230201
  • Receive Date：2023-02-15
  • Online Date：2026-01-27
  • Published：2023-11-25
Article Data
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History
  • Received：2023-02-15
  • Revised：2023-03-15
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Affiliations
    1.Beijing Water Science and Technology Institute, Beijing 100048, China
    2a.College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    2b.College of Elementary Education, Capital Normal University, Beijing 100048, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20230201
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