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Underground well water level observation grid dataset from 2005 to 2022.
Mengran Wang1, Jiaqi Yao1, Huanyu Chang1
1Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin, 300387, China.
Scientific Data
|May 2, 2025
Summary
This study presents a comprehensive groundwater level dataset for China (2005-2022), crucial for understanding water resources and ecosystem health. The high-resolution data supports sustainable water management and hydrological research.
Area of Science:
- Earth Science
- Hydrology
- Environmental Science
Background:
- Groundwater is a critical component of the hydrological cycle, essential for ecosystems and human well-being.
- Long-term, high-resolution groundwater data is vital for effective water resource management and ecological studies.
Purpose of the Study:
- To create a comprehensive, spatially and temporally enhanced dataset of groundwater levels across China.
- To provide a robust foundation for research on groundwater dynamics and ecosystem interactions.
Main Methods:
- Utilized data from the China Geological Environment Monitoring Groundwater Level Yearbook (2005-2022).
- Applied inverse distance weighting interpolation to generate 1km resolution monthly groundwater level raster data.
- Validated interpolated data using regression coefficients, R-squared, RMSE, and MSE, confirming high accuracy.
Main Results:
- Developed a dataset with 11,911 monitoring points and over 4.2 million observation records.
- Generated spatially continuous groundwater level data with 1km resolution and monthly temporal resolution.
- Validation confirmed the high accuracy and reliability of the interpolated groundwater level data.
Conclusions:
- The dataset offers unprecedented spatial and temporal coverage of groundwater levels in China.
- It serves as a valuable resource for hydrological research, ecosystem impact assessments, and sustainable water management.
- The GeoTIFF format ensures compatibility with geographic information system (GIS) analysis for diverse applications.
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