Underground well water level observation grid dataset from 2005 to 2022

Groundwater, a vital hydrological cycle component, is essential in sustaining ecosystem functions and human livelihoods. The dataset presented herein, derived from the China Geological Environment Monitoring Groundwater Level Yearbook (2005-2022) compiled by the China Geological Environment Monitoring Institute, integrates long-term observational data from groundwater monitoring wells across China. The dataset comprises 11,911 monitoring points and 4,275,506 observation records, with each site providing five observations per month. To enhance its spatial and temporal coverage, the dataset was processed using the inverse distance weighting interpolation method, generating groundwater level raster data with spatial and temporal resolutions of 1 km and one month, respectively. Validation of the interpolated data demonstrated high accuracy, with regression coefficients and R<sup>2</sup> values approaching 1 across multiple validation regions, and root-mean-square error and mean-square error metrics remaining acceptable. Spanning 2005-2022, the dataset is available in standard GeoTIFF format, rendering it ideal for geographic information system analysis. It provides a robust foundation for investigating groundwater dynamics, exploring interactions with surface ecosystems, and supporting sustainable water management practices.

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Publication Details

Journal
Scientific Data
Published
2025-05-02
DOI
https://doi.org/10.1038/s41597-025-04799-y
Citations
10
Primary Topic
Methane Hydrates and Related Phenomena
Type
article
Field-Weighted Citation Impact
8.60

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article

Underground well water level observation grid dataset from 2005 to 2022

Mengran Wang, Xitong Guo, Hong Chang, Hui Lü et al.
10 citations
Scientific Data
Methane Hydrates and Related Phenomena
8.60
article

Underground well water level observation grid dataset from 2005 to 2022

Mengran Wang, Xitong Guo, Hong Chang, Hui Lü, Rong Liu, Yong Zhao, Cao Yongqiang, Zihua Liu, Jiaqi Yao, Nan Xu, Hua‐Long Zheng, Haiying Gong, J. G. Wang
article en
10 citations

Abstract

Groundwater, a vital hydrological cycle component, is essential in sustaining ecosystem functions and human livelihoods. The dataset presented herein, derived from the China Geological Environment Monitoring Groundwater Level Yearbook (2005-2022) compiled by the China Geological Environment Monitoring Institute, integrates long-term observational data from groundwater monitoring wells across China. The dataset comprises 11,911 monitoring points and 4,275,506 observation records, with each site providing five observations per month. To enhance its spatial and temporal coverage, the dataset was processed using the inverse distance weighting interpolation method, generating groundwater level raster data with spatial and temporal resolutions of 1 km and one month, respectively. Validation of the interpolated data demonstrated high accuracy, with regression coefficients and R<sup>2</sup> values approaching 1 across multiple validation regions, and root-mean-square error and mean-square error metrics remaining acceptable. Spanning 2005-2022, the dataset is available in standard GeoTIFF format, rendering it ideal for geographic information system analysis. It provides a robust foundation for investigating groundwater dynamics, exploring interactions with surface ecosystems, and supporting sustainable water management practices.

Scientific DataVol. 12(1)
Tianjin Normal University (CN), Hohai University (CN), China Institute of Water Resources and Hydropower Research (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University, Ministry of Water Resources, China Institute of Water Resources and Hydropower Research
Openalex Percentile: Top 2%
Methane Hydrates and Related Phenomena
8.60
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