Analysis demonstrates enhanced prediction accuracy for crack ratio in expansive soil, suggesting optimization strategies improve agricultural waste management.
This study systematically analyzed the influence mechanism of the ratio of organic fertilizer (OF), slow-release fertilizer (SRF), and rice straw (RS) on the crack ratio and root content of expansive soil through Box-Behnken experimental design (BBD) and quadratic polynomial regression model. The results show that RS has the greatest contribution to fissure suppression. For every 0.1% increase in its content, the crack ratio decreases by 0.204% ( p < 0.001). However, excessive OF (>10%) significantly increases the crack ratio by exacerbating the non-uniformity of drying shrinkage ( β = 0.132, p < 0.001). Root content is mainly positively driven by RS ( β = 0.126, p < 0.001), but RSF inhibits root growth through salt cementation ( β = −0.042, p = 0.003). In terms of interaction, OF and RS synergistically increase root content ( β = 0.104, p = 0.002), but OF and SRF antagonistically increase fissure risk ( β = 0.042, p = 0.082). Multi-objective optimization yields three typical ratios: fissure priority scheme (RS = 0.70%, SRF = 0.83 kg/m 3 , OF = 8.2%, crack ratio 1.5%), balanced scheme (RS = 0.65%, SRF = 0.75 kg/m 3 , OF = 9.0%, root content 1.02 mg/cm 3 ), and ecological priority scheme (RS = 0.55%, SRF = 0.60 kg/m 3 , OF = 11.5%, root content 1.25 mg/cm 3 ). Model verification shows high prediction accuracy (crack ratio R 2 = 0.91, RMSE = 0.12%; root content R 2 = 0.93, RMSE = 0.11 mg/cm 3 ), but in areas with high OF (>12%), drainage measures need to be combined to control the risk of salinization. This study provides a quantitative ratio design and risk control basis for the improvement of expansive soil with agricultural waste.
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Huang et al. (2025) studied this question.
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