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Underground well water level observation grid dataset from 2005 to 2022

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DataCite Commons2025-06-01 更新2025-05-07 收录
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https://springernature.figshare.com/articles/dataset/Underground_well_water_level_observation_grid_dataset_from_2005_to_2022/27160197/1
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资源简介:
The dataset "GWs_cn_1km" provides monthly raster data of groundwater levels in the Chinese region from 2005 to 2022, with a resolution of 1km. The data is sourced from the "China Geological Environment Monitoring Groundwater Level Yearbook", which covers daily groundwater level information. After data cleaning, organization, and inverse distance weighted (IDW) interpolation processing, the accuracy and consistency of the data are ensured, and it can reflect the spatial distribution and temporal changes of groundwater levels in the Chinese region. The quality of the dataset has been rigorously validated, and although interpolation methods may lead to a decrease in local accuracy, the overall data has high representativeness. This dataset has broad application prospects in groundwater resource monitoring, ecosystem research, and decision support. It provides important basis for analyzing the trend of groundwater changes and ecological impact assessment, which can be used for high-resolution modeling and comprehensive environmental research in the future to enhance the scientific basis for groundwater management and protection.

数据集"GWs_cn_1km"提供了2005年至2022年中国区域地下水位月度栅格数据,空间分辨率为1千米。该数据源自《中国地质环境监测地下水位年鉴》,该年鉴涵盖逐日地下水位观测信息。经过数据清洗、整理与反距离加权(Inverse Distance Weighted, IDW)插值处理后,数据的准确性与一致性得到保障,能够准确反映中国区域地下水位的空间分布与时序变化特征。本数据集的质量经过严格校验,尽管插值方法可能导致局部精度有所下降,但整体数据仍具备较高的代表性。本数据集在地下水资源监测、生态系统研究与决策支持等领域拥有广阔的应用前景,可为地下水位变化趋势分析与生态影响评估提供重要依据。未来可将其应用于高分辨率模拟与综合环境研究,为地下水资源管理与保护工作夯实科学基础。
提供机构:
figshare
创建时间:
2025-05-03
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