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Physico-chemical characteristics affect the spatial distribution of pesticide and transformation product loss to an agricultural brook

机译:理化特性影响农药的空间分布和转化产物向农溪的流失

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摘要

Diffuse entry of pesticide residues from agriculture into rivers is spatially unevenly distributed. Therefore, the identification of critical source areas (CSAs) may support water quality management in agricultural catchments. In contrast to former studies, we followed the hypothesis that not only hydrological and topographical characteristics but also physico-chemical properties of pesticide residues have a major influence on their loss to rivers and on corresponding formation of CSAs. We designed a virtual experiment i.e. a numerical experiment as close as possible to environmental conditions, in a headwater catchment where pronounced spatial differences in hydro-logical transport processes were identified in the past 144 scenarios with different combinations of adsorption coefficients (Koc = 10-1000 ml/g) and transformation half-lives (DT50 = 3-60 days) for pesticide parent compounds (PCs) and their transformation products (TPs) were simulated using the catchment-scale spatially distributed reactive transport model ZIN-AgriTra. Export fractions of substances in the virtual experiment ranged from 0.001 -15% for pesticides and 0.001 -1 &% for TPs. The results of the scenario investigations suggest that more of the calculated export mass variability could be attributed to Koc than to DT50 for both PCs and TPs. CSAs for TPs were spatially more equally distributed in the catchment than for PC export which was likely an effect of changing physico-chemical properties during transformation. The ranking of highest export fields was different between PCs and TPs for most of the investigated scenarios but six fields appeared among the top ten export fields in 95% of the scenarios, which shows the influence of site characteristics such as tile drains or soil properties in the catchment. Thus, the highest export fields were determined by a combination of site characteristics and substance characteristics. Therefore, despite the challenge of widely differing physico-chemical characteristics of pesticides on the market, these characteristics are an important consideration when delineating pesticide residue CSAs.
机译:农业中农药残留的扩散进入河流的空间分布不均匀。因此,确定关键水源区(CSA)可以支持农业流域的水质管理。与以前的研究相比,我们遵循的假设是,不仅农药残留物的水文和地形特征,而且其理化性质都对农药向河流的流失和相应的CSA形成有重大影响。我们设计了一个虚拟实验,即一个尽可能接近环境条件的数值实验,在上游水源流域中,在过去的144种情景中,在不同的吸附系数组合下,水文传输过程中存在明显的空间差异(Koc = 10-1000使用集水规模空间分布的反应性迁移模型ZIN-AgriTra模拟了农药母体化合物(PCs)及其转化产物(TPs)的转化半衰期(ml / g)和转化半衰期(DT50 = 3-60天)。在虚拟实验中,物质的出口分数范围从农药的0.001 -15%和TP的0.001 -1&%。情景调查的结果表明,对于PC和TP而言,计算出的出口质量差异更多归因于Koc,而不是DT50。 TPs的CSAs在空间上的分布比PC出口更均匀,这很可能是在转换过程中改变其理化特性的结果。在大多数调查方案中,PC和TP的最高出口字段的排名有所不同,但在95%的方案中,前十个出口字段中出现了六个字段,这显示了场地特征(如瓷砖排水沟或土壤性质)的影响。集水区。因此,最高的出口领域是由场地特征和物质特征共同决定的。因此,尽管市场上农药的理化特性存在很大差异,但在描述农药残留CSA时,这些特性仍是重要的考虑因素。

著录项

  • 来源
    《The Science of the Total Environment》 |2015年第1期|733-743|共11页
  • 作者单位

    Sustainable Chemistry and Material Resources, Leuphana University of Lueneburg, Lueneburg, Germany,Water Quality Management - Modelling and Simulation, University of Kassel, Kassel, Germany;

    Sustainable Chemistry and Material Resources, Leuphana University of Lueneburg, Lueneburg, Germany;

    Swiss Federal Institute of Aquatic Science and Technology (Eawag), Duebendorf, Switzerland;

    Hydrology, University of Freiburg, Germany;

    Sustainable Chemistry and Material Resources, Leuphana University of Lueneburg, Lueneburg, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Virtual experiment; ZIN-AgriTra model; Catchment scale; Critical source areas; Metabolite;

    机译:虚拟实验;ZIN-AgriTra模型;集水规模;关键源区域;代谢物;

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