在南天津,利用遥感和机器学习追踪从道路灰尘到水体的营养污染路径
Muhammad Nabil Ashraf1, Suiliang Huang1, Deze Liu1
1Key Laboratory of Pollution Processes and Environmental Criteria of the Ministry of Education, Key Laboratory of Urban Ecological Environment Rehabilitation and Pollution Control of Tianjin, Numerical Stimulation Group for Water Environment, College of Environmental Science and Engineering Nankai University, Tianjin 300350, China.
Journal of hazardous materials
|January 28, 2026
概括
在道路灰尘和水中评估了 (N) 和 (P) 的城市营养污染. 大气沉积是关键的N来源,而距离影响P,陆地到水中转移得到证实.
科学领域:
- 环境科学 环境科学
- 城市生态城市生态学
- 水质管理水质管理
背景情况:
- 营养物质污染 (和) 带来了重大的环境和健康风险.
- 城市营养物质污染的动态,特别是道路灰尘,尚未得到充分研究.
- 了解营养来源和转移对于有效的城市环境管理至关重要.
研究的目的:
- 综合评估中国天津南方道路尘埃和相邻水体中的 (N) 和 (P) 污染.
- 量化从道路灰尘到水中的营养转移途径.
- 开发和验证城市地区营养来源分配的综合框架.
主要方法:
- 一种两条交叉线采样策略,以捕获空间营养梯度.
- 在道路灰尘和水样中的N和P的化学分析.
- 实现远程传感 (RS) 和机器学习 (ML) 的集成,用于源分配,包括SHAP分析和梯度增强模型.
主要成果:
- 郊区地区明显的N主导模式与西部城市地区的P主导趋势.
- 尘埃中总与总 (TP:TN) 的比率和水中溶解与溶解 (TDP:TDN) 的比率发生显著变化,表明转移机制发生了变化.
- 大气沉积被确定为N (65.5%) 和P (75.5%的TP:TN) 的主要贡献者,而距离显著影响了P变化 (83.7%).
- 陆地到水中的营养物质转移得到证实.
- 梯度增强模型 (R2=0.91对于N,0.83对于P) 实现的高精度.
结论:
- 该研究提供了一种可扩展的RS-ML-化学方法,用于有效地识别和监测城市营养污染源.
- 这些发现强调了大气沉积和陆地-水域转移在城市营养循环中的重要性.
- 开发的框架为全球管理城市营养污染提供了广泛的适用性.
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