河水质量数据的解释受到测量时间和频率的严格控制
Inge Elfferich1, Elizabeth A Bagshaw2, Rupert G Perkins1
1School of Earth and Environmental Sciences, Cardiff University, Park Place, Cardiff CF10 3AT, UK.
The Science of the total environment
|October 3, 2024
概括
高频水质监测是湖泊和河流健康的关键. 减少采样频率可以改变数据的解释,每四小时进行一次测量可以捕获许多参数的每日变化.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 生态生态学 生态生态学
背景情况:
- 高时间频率水质监测对于了解湖泊和河流中的环境压力因素和生态系统反应至关重要.
- 有效的监测网络取决于最佳的采样频率和理解数据的变化.
研究的目的:
- 为了确定捕获水化数据集变化的最低测量频率.
- 通过在一天中不同时间采样来调查潜在的偏差.
主要方法:
- 来自英国六个水域的高频水化数据集 (溶解氧,pH,电导率,度,水温,,酸盐) 的分析.
- 评估不同测量频率 (每四小时,每十二小时,每天,每周,每月) 的数据变化和中位数变化.
主要成果:
- 通过改变计算的中位数和数据范围,减少采样频率显著改变了数据解释.
- 对于大多数参数-捕获组合,每四小时采样捕获超过90%的每小时范围,对中位数的影响最小.
- 较低的频率 (每周,每月) 捕获了有限的数据范围和中位信息,特别是对于具有白天周期或对流动事件快速响应的参数.
结论:
- 采样频率对水质数据的解释产生重大影响;较低的频率可能导致对环境条件的误解.
- 设计优化的监测计划需要考虑采集区的特点和监测目的所需的特定数据分辨率.
- 建议进行高频监测 (至少每四小时一次) 的试点研究,以建立适当的采样制度,以捕获水质参数的时间动态.
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