Benisch Jakob, Helm B, Krauss M, Byrne H A, Becker S, Mayer R P, Rojas Gómez K L, Ahlheim J, Brack W, Krebs P
TU Dresden, Department of Hydro Sciences, Institute for Urban Water Management, Dresden 01067, Germany E-mail:
TU Dresden, Department of Hydro Sciences, Institute for Urban Water Management, Dresden 01067, Germany.
Water Sci Technol. 2025 Jul;92(1):34-52. doi: 10.2166/wst.2025.091. Epub 2025 Jun 27.
This study presents the results from a monitoring campaign at two urban streams with multiple monitoring sites along an increased urban gradient, carried out in April to August 2022. The aim of the monitoring campaign was to identify pressures and sources of organic micropollutants using large-volume solid phase extraction. The campaign was using different sampling modes to distinguish between baseflow and evens. Samples were analysed for 735 compounds; the measured concentrations were aggregated for compound classes and related to discharge data. A source analysis showed different emission patterns for compound classes, using the correlation between concentration and discharges during baseflow. The number of detected compounds followed an increasing trend along the streams during baseflow and increased during events. The comparison between baseline samples and event samples showed that events cause a significant increase in the number of detected chemicals as well as in their concentration and relative loads. The event samples also yield higher ecological concerns based on a comparison of measured with effect concentrations (Toxic unit approach). We did not find correlations with different event characteristics (i.e. peak discharge, event duration, etc.). A high variability of compounds among the catchments and sampling sites within the catchments was evident.
本研究展示了2022年4月至8月在两条城市溪流开展的监测活动结果，这些溪流有多个监测点，且沿城市梯度递增。监测活动的目的是使用大体积固相萃取法识别有机微污染物的压力和来源。该活动采用不同的采样模式来区分基流和事件。对735种化合物进行了样本分析；将测得的浓度按化合物类别进行汇总，并与流量数据相关联。通过分析基流期间浓度与流量之间的相关性，源分析显示了不同化合物类别的排放模式。在基流期间，检测到的化合物数量沿溪流呈增加趋势，在事件期间也有所增加。基线样本与事件样本的比较表明，事件导致检测到的化学物质数量及其浓度和相对负荷显著增加。基于实测浓度与效应浓度的比较（毒性单位法），事件样本也引发了更高的生态担忧。我们未发现与不同事件特征（即峰值流量、事件持续时间等）的相关性。流域间以及流域内采样点的化合物具有明显的高变异性。
