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Multi-scale soil moisture dynamics in arid mined Loess Plateau arise from crack evolution and microstructure collapse
Ting Ma1,2, Fuquan Tang3, Furong Zhang4
1Shaanxi Railway Institute, Weinan, 710054, China. 184740779@qq.com.
Scientific Reports
|December 24, 2025
Summary
Coal mining cracks disrupt soil moisture in arid regions. Crack size and evolution impact water loss, affecting soil structure and retention, crucial for ecological restoration.
Area of Science:
- Soil Science
- Environmental Science
- Geology
Background:
- Coal mining causes subsidence and cracks, altering soil moisture dynamics in arid environments.
- Understanding the multi-scale mechanisms of mining-induced cracks on soil moisture is crucial for the Loess Plateau.
Purpose of the Study:
- To investigate how mining-induced cracks affect soil moisture redistribution across different scales.
- To analyze the evolution characteristics of cracks and their impact on soil microstructure and hydraulic properties.
Main Methods:
- Integrated field monitoring, soil experiments, physical simulations, and numerical modeling (Hydrus-2D dual-domain model).
- Dynamic crack monitoring, Scanning Electron Microscopy (SEM), and soil water characteristic curve analysis.
- Comparative analysis of crack scales (micro, small, medium, large) and their stabilization periods.
Main Results:
- Crack evolution varied by scale: micro/small cracks stabilized slowly (20 days), medium/large cracks rapidly (8-10 days).
- Crack width and proximity determined soil moisture loss rates.
- Cracks altered loess microstructure, increasing porosity and connectivity, accelerating evaporation/infiltration, and reducing water retention capacity, with micro-cracks having the greatest impact.
Conclusions:
- Mining-induced cracks synergistically affect soil hydraulic properties through crack evolution and microstructure collapse.
- Findings provide critical insights for ecological restoration strategies in mining-disturbed loess regions.
- Preferential flow patterns near cracks were effectively modeled and validated with field data.
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