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<p>This study proposes a conceptual framework for transforming coarse desert sand into agriculturally viable soil by adapting cement grinding techniques. The objective is to enhance soil properties such as water retention, nutrient holding capacity, and structural stability through mechanical particle size reduction, integrated with amendments like biochar and dispersants, and advanced technologies including solar-powered grinding and AI-driven irrigation. The methodology employs Bond’s law for energy calculations, Rosin-Rammler for particle size distribution modeling, sensitivity analysis, Monte Carlo simulations, and Bayesian inference for uncertainty quantification, all integrated to simulate the grinding process and its agronomic impacts. Key findings indicate that grinding to &lt;50 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\mu \)</EquationSource> </InlineEquation>m requires approximately 13.5 kWh/t, with biochar amendments potentially increasing available water capacity by 21–42% and cation exchange capacity by 20–50%. The framework clarifies the integration of technical grinding models with soft elements like AI optimization for sustainable implementation. Highlights include energy-efficient solar integration yielding 5–6 tons/day from a 10 kW system in high-insolation areas, economic feasibility with BCR 1.2–2.0 under optimistic scenarios, and alignment with hydrostructural pedology principles for improved water dynamics. This study is strictly conceptual in nature; no experimental or field data were collected or analyzed. All quantitative outputs are model-derived estimates that require rigorous laboratory and field-scale empirical validation before any agronomic conclusions can be drawn. Pathways for transitioning from this framework to applied experimentation are outlined.</p>

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A conceptual framework for converting desert sand into agriculturally viable soil using adapted cement grinding techniques

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月27日

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  • Sami Rashid Mohammed Shibah

摘要

This study proposes a conceptual framework for transforming coarse desert sand into agriculturally viable soil by adapting cement grinding techniques. The objective is to enhance soil properties such as water retention, nutrient holding capacity, and structural stability through mechanical particle size reduction, integrated with amendments like biochar and dispersants, and advanced technologies including solar-powered grinding and AI-driven irrigation. The methodology employs Bond’s law for energy calculations, Rosin-Rammler for particle size distribution modeling, sensitivity analysis, Monte Carlo simulations, and Bayesian inference for uncertainty quantification, all integrated to simulate the grinding process and its agronomic impacts. Key findings indicate that grinding to <50 \(\mu \) m requires approximately 13.5 kWh/t, with biochar amendments potentially increasing available water capacity by 21–42% and cation exchange capacity by 20–50%. The framework clarifies the integration of technical grinding models with soft elements like AI optimization for sustainable implementation. Highlights include energy-efficient solar integration yielding 5–6 tons/day from a 10 kW system in high-insolation areas, economic feasibility with BCR 1.2–2.0 under optimistic scenarios, and alignment with hydrostructural pedology principles for improved water dynamics. This study is strictly conceptual in nature; no experimental or field data were collected or analyzed. All quantitative outputs are model-derived estimates that require rigorous laboratory and field-scale empirical validation before any agronomic conclusions can be drawn. Pathways for transitioning from this framework to applied experimentation are outlined.