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Updated: Jan 8, 2026

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环境因素和影响农业排水中的合度的临界值:来自多个地点的现场数据和实验的见解

Ziwan Wang¹, Yuanyuan Lu², Jiao Yang³

¹Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China; Key Laboratory of Watershed Non-point Source Pollution Control and Water Eco-security of Ministry of Water Resources, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.

Journal of environmental management

|December 19, 2025

概括

农业排水中的体 (CP) 损失是复杂的. 机器学习模型准确地预测CP,识别土壤有机碳值,这对于减轻水污染至关重要.

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:

合 (CP) 是一种移动形式,有助于非点源污染.
由于复杂的环境相互作用,了解CP损失动态和影响因素值是具有挑战性的.

研究的目的:

为了监测不同作物系统的地表冲水中的CP度.
与线性回归相比,评估机器学习 (ML) 模型在预测 CP 损失方面的有效性.
确定影响CP损失的关键环境驱动因素和关键值.

主要方法:

在四个作物系统中,监测了1.5年的表面下水.
使用线性回归和ML模型 (包括堆叠) 来预测CP度.
功能重要性和部分依赖性分析确定了关键驱动因素和值.
化实验验证实了土壤有机碳 (SOC) 影响的发现.

主要成果:

CP度在0.02-0.69毫克L-1之间.
ML模型的表现明显优于线性回归 (R² = 0.85对 0.66).
关键的驱动因素包括排水电导率,土壤水电位差异,排水量,SOC和pH.
确定了~12 g kg-1 的关键 SOC 值,在此以上,CP 损失下降.

结论:

机器学习模型提供了CP损失的优异预测,并提供了机械洞察力.
增加SOC超过确定值可以通过增强P激活和减少土壤P和来减轻CP损失.
将实时监测与ML指导干预相结合,是保护水质的可扩展战略.

关键词:

农业的下水是农业的下水.合物合物合物合物整合机器学习机器学习环境建模环境建模营养管理营养管理

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相关概念视频

The Phosphorus Cycle

The Phosphorus Cycle

Unlike carbon, water, and nitrogen, phosphorus is not present in the atmosphere as a gas. Instead, most phosphorus in the ecosystem exists as compounds, such as phosphate ions (PO43-), found in soil, water, sediment and rocks. Phosphorus is often a limiting nutrient (i.e., in short supply). Consequently, phosphorus is added to most agricultural fertilizers, which can cause environmental problems related to runoff in aquatic ecosystems.

Factors Affecting Solubility

Factors Affecting Solubility

Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide: