密集的短期采样带有长期后果:对污染物运输的特征,对发展监测有影响
Elliot Anderson1, Keith Schilling2
1Iowa Geological Survey, University of Iowa, Iowa City, IA, USA. elliot-anderson@uiowa.edu.
Environmental monitoring and assessment
|October 30, 2024
概括
了解河流污染物运输需要经常采样. 这项研究量化了爱荷华州河流中间歇采样农药,营养素和病原体的错误,提供了数据来优化监测频率.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水质监测 水质监测
背景情况:
- 河流污染物监测对于了解运输至关重要,但时间抽样缺口会引发错误.
- 关于采样频率的现有指导是稀疏的,阻碍了准确的水质评估.
研究的目的:
- 在爱荷华州三条河流中分析18个分析物的90天独特数据集,以量化与间歇性采样相关的错误.
- 将污染物度和负载与当地水文学联系起来,并确定最佳的采样频率.
主要方法:
- 在90天内每天收集18种分析物的河流样本.
- 计算污染物负载和模拟间歇采样以量化相关错误.
- 分析了与溪流和流域大小相关的污染物行为 (农药,营养素,病原体).
主要成果:
- 农药度在春季下水时达到峰值,而酸盐和病原体水平对流量产生不同的反应.
- 间歇性采样通常高估了酸盐负载,但低估了其他负载,在较大的流域中,错误减少.
- 酸盐的采样误差最低,而便大肠杆菌的采样误差最高.
结论:
- 该研究量化了主要河流污染物的采样错误,为最佳监测策略提供了见解.
- 结果为制定更强大的抽样频率指南提供了基础,以尽量减少水质评估中的错误.
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