Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, A-3500 Krems an der Donau, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Microbiology and Molecular Diagnostics E166/5/3, TU Wien, Gumpendorferstraße 1a, A-1060 Vienna, Austria.
Institute of Hydraulic Engineering and Water Resources Management E222, TU Wien, Karlsplatz 13, A-1040 Vienna, Austria.
Water Res. 2024 Sep 1;261:122029. doi: 10.1016/j.watres.2024.122029. Epub 2024 Jul 2.
The contribution of ships to the microbial faecal pollution status of water bodies is largely unknown but frequently of human health concern. No methodology for a comprehensive and target-orientated system analysis was available so far. We developed a novel approach for integrated and multistage impact evaluation. The approach includes, i) theoretical faecal pollution source profiling (PSP, i.e., size and pollution capacity estimation from municipal vs. ship sewage disposal) for impact scenario estimation and hypothesis generation, ii) high-resolution field assessment of faecal pollution levels and chemo-physical water quality at the selected river reaches, using standardized faecal indicators (cultivation-based) and genetic microbial source tracking markers (qPCR-based), and iii) integrated statistical analyses of the observed faecal pollution and the number of ships assessed by satellite-based automated ship tracking (i.e., automated identification system, AIS) at local and regional scales. The new approach was realised at a 230 km long Danube River reach in Austria, enabling detailed understanding of the complex pollution characteristics (i.e., longitudinal/cross-sectional river and upstream/downstream docking area analysis). Faecal impact of navigation was demonstrated to be remarkably low at regional and local scale (despite a high local contamination capacity), indicating predominantly correct disposal practices during the investigated period. Nonetheless, faecal emissions were sensitively traceable, attributable to the ship category (discriminated types: cruise, passenger and freight ships) and individual vessels (docking time analysis) at one docking area by the link with AIS data. The new innovative and sensitive approach is transferrable to any water body worldwide with available ship-tracking data, supporting target-orientated monitoring and evidence-based management practices.
船舶对水体微生物粪便污染状况的贡献在很大程度上是未知的,但经常引起人们对人类健康的关注。目前还没有一种全面的、有针对性的系统分析方法。我们开发了一种新的综合多阶段影响评估方法。该方法包括:i)理论粪便污染源特征分析(PSP,即从城市污水和船舶污水处理中估计规模和污染能力),用于影响情景估计和假设生成;ii)在选定的河流段进行高分辨率的粪便污染水平和化学物理水质现场评估,使用标准化的粪便指标(基于培养)和遗传微生物源追踪标记物(基于 qPCR);iii)对观察到的粪便污染和通过卫星自动船舶跟踪(即自动识别系统,AIS)评估的船舶数量进行综合统计分析,在局部和区域尺度上。该新方法在奥地利一段 230 公里长的多瑙河河段得到了实现,使人们能够详细了解复杂的污染特征(即纵向/横断面河流和上游/下游停靠区分析)。尽管在调查期间船舶的粪便污染排放量存在较高的污染能力,但在区域和局部尺度上,船舶的航行粪便影响却非常低,表明船舶的粪便处理实践主要是正确的。尽管如此,通过与 AIS 数据的关联,可以在一个停靠区敏感地追踪到粪便排放,归因于船舶类别(可区分的类型:游轮、客船和货船)和个别船只(停靠时间分析)。这种新的创新和敏感的方法可以推广到全球任何有船舶跟踪数据的水体,支持有针对性的监测和基于证据的管理实践。