Wetsus, European Centre of Excellence for Sustainable Water Technology, Oostergoweg 9, 8911 MA Leeuwarden, The Netherlands.
Institute of Environmental Systems Research, Osnabrück University, Barbarastraße 12, D-49076, Osnabrück, Germany.
Environ Sci Technol. 2022 Nov 1;56(21):15064-15073. doi: 10.1021/acs.est.2c00218. Epub 2022 Jun 3.
Fecally contaminated waters can be a source for human infections. We investigated the occurrence of fecal indicator bacteria () and antibiotic-resistant , namely, extended spectrum beta-lactamase (ESBL)-producing (ESBL-EC) and carbapenemase-producing (CP-EC) in the Dutch-German transboundary catchment of the Vecht River. Over the course of one year, bacterial concentrations were monitored in wastewater treatment plant (WWTP) influents and effluents and in surface waters with and without WWTP influence. Subsequently, the GREAT-ER model was adopted for the prediction of (antibiotic-resistant) concentrations. The model was parametrized and evaluated for two distinct scenarios (average flow scenario, dry summer scenario). Statistical analysis of WWTP monitoring data revealed a significantly higher (factor 2) proportion of ESBL-EC among in German compared to Dutch WWTPs. CP-EC were present in 43% of influent samples. The modeling approach yielded spatially accurate descriptions of microbial concentrations for the average flow scenario. Predicted concentrations exceed the threshold value of the Bathing Water Directive for a good bathing water quality at less than 10% of potential swimming sites in both scenarios. During a single swimming event up to 61 CFU of ESBL-EC and less than 1 CFU of CP-EC could be taken up by ingestion.
粪便污染的水可能是人类感染的源头。我们调查了荷兰-德国边境的 Vecht 河流域中粪便指示菌 () 和抗生素耐药菌,即产extended spectrum beta-lactamase (ESBL)的 (ESBL-EC) 和产 carbapenemase 的 (CP-EC)的发生情况。在一年的时间里,我们监测了污水处理厂 (WWTP)进水和出水以及受 WWTP 影响和不受 WWTP 影响的地表水的细菌浓度。随后,采用 GREAT-ER 模型预测 (抗生素耐药性) 浓度。该模型针对两种不同的情况(平均流量情况、干燥夏季情况)进行了参数化和评估。对 WWTP 监测数据的统计分析显示,德国 WWTP 中 中 ESBL-EC 的比例明显高于荷兰 WWTP(因子 2)。在进水样本中存在 43%的 CP-EC。对于平均流量情况,该建模方法能够准确地描述微生物浓度的空间分布。在两种情况下,预测的 浓度都超过了沐浴水质量良好的沐浴水指令的阈值,在不到 10%的潜在游泳场所。在单次游泳活动中,摄入的 ESBL-EC 高达 61 CFU,CP-EC 不到 1 CFU。