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Thomas Atta-Darkwa¹, Austin Asare², Killian Asosega Asampana³

¹Department of Agricultural and Bioresources Engineering, University of Energy and Natural Resources, Sunyani, Ghana.

|January 25, 2024

概括

优化农田准备和杂草控制是土壤水透和模型准确性的关键. 使用科斯蒂亚科夫模型进行的深度耕地与砍刀除草,证明对沙粘土土土壤最有效.

科学领域:

农业科学农业科学
土壤科学土壤科学
水文学的水文学

背景情况:

耕地和杂草控制对土壤的物理性质和水透动态产生重大影响.
准确的土壤透模型对于有效的农场管理和水资源评估至关重要.
了解土地准备和杂草管理的相互作用效应对于优化农业实践至关重要.

研究的目的:

分析耕作和杂草控制方法对土壤物理性质的相互作用效应.
在各种土地管理情景下评估不同透模型的有效性.
确定加纳沙粘土土土壤的最佳土地管理策略.

主要方法:

实验是在沙土粘土森林中进行的,采用四种耕作系统 (不耕作,减少耕作, + + ,深耕 + + + ) 和三种杂草控制方法 (,马,不除草).
使用合适度标准 (RMSE,MAE,R2,NSE) 测试了科斯蒂亚科夫,菲利普和霍顿透模型的可靠性.
在不同处理组合下测量土壤水分含量和透率.

主要成果:

保护和传统耕作与砍刀除草 (NT x MAT) 显示土壤水分含量最高 (11.189%).
没有地与地 (NT x H) 的平均透率最高,而深地+地+地+地与地 (DPHR x H) 的平均透率最低.
科斯蒂亚科夫模型在预测透方面表现出卓越的效率,其中深度耕地 + 地 + 地 + 地和马契特杂草 (DPHR x MAT) 显示出最佳匹配.

结论:

增加耕作强度和减少杂草管理强度提高了透模型估计质量.
深度耕地+++与马契特除草的组合被认为是最有效的土地管理策略.
建议使用科斯蒂亚科夫模型来建模研究区域的沙粘土土泥土的累积透.

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