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Interpretable modeling of spatiotemporal variations of groundwater total hardness across China

delete2026-08-06
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PRE
AI
C
Chenglong Cao
Q
Qing Zhou
J
Junliang Jin
F
Fenghua You
L
Lei Yao
H
Hongzhe Pan
W
Wei Gan
J
Jiangjiang Zhang *
Y
Yijun Yao *
DOI:10.1016/j.jhydrol.2026.136187delete
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Abstract

Abstract

En 中文
• An interpretable RF model was used to reconstruct and project GTH across China. • Annual 1-km resolution GTH maps were generated for China from 1980 to 2100. • National mean GTH exhibits an overall increasing trend, with variations driven by future development scenarios.
Keywords:
Groundwater total hardness
China
Interpretable machine learning
Predictive modeling

Journal

Journal of Hydrology cover
Journal of Hydrology
IF:
6.3
Papers:
2.3W
Citations:
9.8W

Organization

J
jiangnan machinery (group) co., ltd.
Scholars:
2
Papers: 1
Citations: 0
H
hohai university
Scholars:
4.7K
Papers: 2.0K
Citations: 0
Z
zhejiang university
Scholars:
17.0W
Papers: 11.9W
Citations: 152
C
chinese academy of sciences
Scholars:
54.9W
Papers: 44.5W
Citations: 703
Cited Papers

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Citing Papers

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