Flemish Institute for Technological Research, Boeretang 200, 2400, Mol, Belgium; Vrije Universiteit Brussel, Dept. Hydrology and Hydraulic Engineering, Pleinlaan 2, 1050, Brussels, Belgium; University of Antwerp, Dept. Bioscience Engineering, Groenenborgerlaan 171, 2020, Antwerp, Belgium.
EAWAG, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600, Dübendorf, Switzerland.
Water Res. 2017 Nov 1;124:663-672. doi: 10.1016/j.watres.2017.08.016. Epub 2017 Aug 8.
To properly estimate and manage pesticide occurrence in urban rivers, it is essential, but often highly challenging, to identify the key pesticide transport pathways in association to the main sources. This study examined the concentration-discharge hysteresis behaviour (hysteresis analysis) for three pesticides and the parent-metabolite concentration dynamics for two metabolites at sites with different levels of urban influence in a mixed land use catchment (25 km) within the Swiss Greifensee area, aiming to identify the dominant pesticide transport pathways. Combining an adapted hysteresis classification framework with prior knowledge of the field conditions and pesticide usage, we demonstrated the possibility of using hysteresis analysis to qualitatively infer the dominant pesticide transport pathway in mixed land-use catchments. The analysis showed that hysteresis types, and therefore the dominant transport pathway, vary among pesticides, sites and rainfall events. Hysteresis loops mostly correspond to dominant transport by flow components with intermediate response time, although pesticide sources indicate that fast transport pathways are responsible in most cases (e.g. urban runoff and combined sewer overflows). The discrepancy suggests the fast transport pathways can be slowed down due to catchment storages, such as topographic depressions in agricultural areas, a wastewater treatment plant (WWTP) and other artificial storage units (e.g. retention basins) in urban areas. Moreover, the WWTP was identified as an important factor modifying the parent-metabolite concentration dynamics during rainfall events. To properly predict and manage pesticide occurrence in catchments of mixed land uses, the hydrological delaying effect and chemical processes within the artificial structures need to be accounted for, in addition to the catchment hydrology and the diversity of pesticide sources. This study demonstrates that in catchments with diverse pesticide sources and complex transport mechanisms, the adapted hysteresis analysis can help to improve our understanding on pesticide transport behaviours and provide a basis for effective management strategies.
为了正确估计和管理城市河流中的农药,识别与主要来源相关的关键农药迁移途径至关重要,但通常极具挑战性。本研究在瑞士 Greifensee 地区一个混合土地利用流域(25 公里)中,在具有不同城市影响程度的站点上,检查了三种农药的浓度-流量滞后行为(滞后分析)以及两种代谢物的母体-代谢物浓度动态,目的是确定主要的农药迁移途径。通过将一个经过改进的滞后分类框架与现场条件和农药使用的先验知识相结合,我们证明了利用滞后分析定性推断混合土地利用流域中主要农药迁移途径的可能性。分析表明,滞后类型,因此主要的迁移途径,因农药、站点和降雨事件而异。滞后环主要对应于具有中间响应时间的流分量的主导迁移,尽管农药来源表明在大多数情况下快速迁移途径是负责的(例如城市径流和合流污水溢流)。这种差异表明,由于集水区储存,例如农业区的地形洼地、污水处理厂(WWTP)和城市地区的其他人工储存单元(例如滞留池),快速迁移途径可能会减慢。此外,WWTP 被确定为在降雨事件期间改变母体-代谢物浓度动态的重要因素。为了正确预测和管理混合土地利用流域中的农药,除了流域水文学和农药来源的多样性外,还需要考虑人工结构内的水文延迟效应和化学过程。本研究表明,在具有多种农药来源和复杂迁移机制的流域中,经过改进的滞后分析可以帮助我们更好地了解农药迁移行为,并为有效的管理策略提供基础。