使用现场边缘监测数据评估阿拉巴马州指数
Anjan Bhatta1, Rishi Prasad1, Debolina Chakraborty2
1Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, Alabama, USA.
Journal of environmental quality
|February 14, 2026
概括
阿拉巴马州指数 (P指数) 预测损失的情况很差. 一个经过修改的P指数,使用和度比和P应用时间,在评估场地对P损失的脆弱性方面显示出更好的准确性.
科学领域:
- 环境科学 环境科学
- 农业科学 农业科学
- 土壤科学 土壤科学
背景情况:
- 指数 (P指数) 对于评估场地对 (P) 损失的脆弱性和指导P管理至关重要.
- 存在各种P指数结构,包括添加式,乘法式和基于组件的模型.
- 阿拉巴马州采用了附加P指数,但其与现场数据的性能没有被评估.
研究的目的:
- 为了评估阿拉巴马州P指数的表现,使用场边P损失数据.
- 为了比较乘法 (田纳西州) 和基于组件的 (格鲁吉亚州) P指数与阿拉巴马州模型的有效性.
- 开发和测试一个改进的,修改的阿拉巴马州P指数.
主要方法:
- 将P指数得分与每年测量的溶解反应 (DRP),总颗粒 (TPP) 和总 (TP) 负荷相关联.
- 评估P指数预测的强度和定向准确性.
- 修改阿拉巴马州的P指数,将土壤试验P替换为和度比,并改变地下出水系统因子.
主要成果:
- 最初的阿拉巴马P指数表现出与P负荷的弱相关性 (r <0.50) 和方向不准确性.
- 乘法指数和基于组件的指数显示出类似的预测差异.
- 经过修改的阿拉巴马州P指数显示出显著的相关性 (r > 0.51) 和与DPR,TPP和TP负载的方向对齐.
结论:
- 原来的阿拉巴马州P指数对于评估P损失风险是不可靠的.
- 经过修改的阿拉巴马P指数,包括和度比和P应用时间,提供了更好的准确性.
- 为了根据阿拉巴马州的农业系统量身定制的基于组件的P指数,需要进一步的研究.
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