光指纹作为一个指标,以识别城市非点源在城市河流在降雨期间的降雨期
Qiuran Xiong1, Yiming Song1, Jian Shen1
1Research Center of Environmental Technology in Water Pollution Source Identification and Precise Supervision, School of Environment, Tsinghua University, Beijing, 100084, China; Research and Development Center of Advanced Environmental Supervision Technology and Instrument, Research Institute for Environmental Innovation (Suzhou) Tsinghua, Suzhou, 215163, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China.
Environmental research
|December 23, 2023
概括
本研究使用光指纹 (FFs) 识别了BX河的城市非点源 (NPS) 污染. 它区分了道路排水和未经处理的城市废水 (UMWW) 溢出,指导了精确的水污染控制.
科学领域:
- 环境科学 环境科学
- 水质监测 水质监测
- 分析化学 分析化学
背景情况:
- 城市非点源 (NPS) 污染是城市水污染的主要驱动因素.
- 有效地识别NPS对于有针对性的河流管理和污染控制至关重要.
研究的目的:
- 在降雨期间识别和区分BX河的城市NPS污染源.
- 调查"城市NPS-出口-城市河流"过程中的动态污染特征.
- 为了证明光指纹 (FF) 技术的可行性,以实时诊断城市河流污染.
主要方法:
- 在降雨期间实时监测水质参数和光指纹 (FFs).
- 应用EEM-PARAFAC分析来识别特有的光元件.
- 组件相似性分析,以区分污染源,如道路排水和未经处理的城市废水 (UMWW) 溢出.
主要成果:
- 在BX河的污染主要源于公路排水和UMWW溢出.
- 确定了特定的光元件 (C1,C3和C2),C2充当了道路排水和UMWW溢出之间的关键差异化因素.
- 雨水出口 (RWOs) 的外流类似于道路下水,而综合下水道出口 (CSOs) 则表现出混合的特征.
- 河流水的FF特征动态地反映出出口的污染源.
结论:
- 光指纹 (FF) 技术有效地识别和区分城市NPS污染源.
- 该研究阐明了从城市NPS到河流的动态污染转移过程.
- FF分析提供了一种可行且快速的方法,用于诊断降雨期间的城市河流污染,帮助治理工作.
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