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一种同位素光谱指纹合方法,用于在高度人为干扰的流域内DOM源分配中的动态追踪器优化

Bo Zhou¹, Weijun Tian², Jiayu Peng³

¹College of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, PR China; Key Laboratory of Estuarine and Coastal Environment, Ministry of Ecology and Environment, Chinese Research Academy of Environment Sciences, Beijing, 100012, PR China.

Environmental research

|September 16, 2025

概括

在受干扰的流域中精确追踪溶解有机物 (DOM) 来源对于污染控制至关重要. 这项研究开发了一种优化模型,发现人类活动对DOM污染有很大影响,因季节而异.

科学领域:

环境科学环境科学
水质管理水质管理
同位素地球化学同位素地球化学

背景情况:

精确追踪溶解有机物 (DOM) 的来源对于管理受人类影响的水域污染至关重要.
人为干扰的流域对识别污染来源提出了复杂的挑战.

研究的目的:

开发和验证一个优化的终端组件混合分析 (EMMA) 模型,用于精确的DOM源分配.
调查江流域DOM源的时空空间变化,这是一个高度的人类活动的地区.

主要方法:

系统地收集污染源样本 (废水,土壤,排水,植被).
在EMMA模型中使用了δ13C同位素和光指数作为标记物.
开发了一个使用LOOic-UI90指数的追踪选系统,以优化模型的准确性和稳定性.

主要成果:

2-3个低相关性追踪剂的组合优化了EMMA模型,避免了对线性问题.
结合的同位素光谱指数模型显著优于单个标志物模型.
人为来源主导DOM,季节性差异很大:水产养殖和农村污水在干旱季节,城市和农业废水在雨季.

结论:

优化的EMMA模型为动态DOM源分配在受干扰的流域提供了可靠的框架.
人类活动是DOM污染的主要驱动因素,需要有针对性的管理策略.
了解污染源的季节性变化是有效控制水质的关键.

关键词:

在DOM DOM中,我们可以使用DOM.艾玛·艾玛 (EMMA) 是一个专业的医疗机构.光指数的光指数来源分配的分配方式 δ(13) C 的同位素.

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