Smithsonian Environmental Research Center, Edgewater, MD, USA.
Smithsonian Environmental Research Center, Edgewater, MD, USA.
Sci Total Environ. 2021 Apr 15;765:142739. doi: 10.1016/j.scitotenv.2020.142739. Epub 2020 Oct 8.
Accurate measurement of the discharge of total suspended solids (TSS) from watersheds is complicated by the extreme temporal variability of suspended solid concentrations during periods of high stream flow. Consequently, TSS loads estimated from data collected at different temporal frequencies may differ in accuracy and precision. Moreover, there remains a need for optimal sampling methods which yield the highest possible accuracy for the least effort. We investigated the effect of sampling frequency on estimations of TSS loads and retention within a restored stream in Maryland, USA. We found that coarser temporal sampling methods can lead to erroneous conclusions of restoration efficacy with poor accuracy and precision in estimates of sediment retention. Additionally, we synthesized 28 years of continuous turbidity-based TSS data from Europe and North America to assess the effect of sampling frequency. Our synthesis suggests that flow-paced composite sampling may be the most accurate and precise sampling method. This method is also economical, requiring analysis of only one sample per week. Thus, the flow-paced method may be a potential solution to economize and standardize water quality monitoring.
准确测量流域总悬浮固体(TSS)的排放量很复杂,因为在高水流期间悬浮固体浓度的时间变化非常大。因此,根据不同时间频率收集的数据估计的 TSS 负荷在准确性和精密度上可能存在差异。此外,仍然需要最优的采样方法,以最少的努力获得尽可能高的准确性。我们研究了采样频率对美国马里兰州一条恢复河流中 TSS 负荷和保留量估计的影响。我们发现,较粗的时间采样方法可能导致对恢复效果的错误结论,对泥沙保留量的估计准确性和精密度较差。此外,我们综合了来自欧洲和北美的 28 年连续浊度基 TSS 数据,以评估采样频率的影响。我们的综合研究表明,基于流量的组合采样可能是最准确和最精确的采样方法。这种方法也具有经济性,每周只需要分析一个样本。因此,基于流量的方法可能是一种经济高效且标准化水质监测的潜在解决方案。