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Selecting analytical target pesticides in monitoring: Sensitivity analysis and scoring

机译:在监测中选择分析目标农药:敏感性分析和评分

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摘要

Measuring river water concentrations of all pesticides applied in a catchment area is a daunting task. This study aims to develop new score tables for selecting analytical target pesticides. Sensitivity analyses were conducted using a diffuse pollution hydrologic model to quantitatively evaluate the influence of pesticide properties (e.g., log K_(Oc), degradability [half-life]) on concentrations of rice-farming pesticides in river water. Using the results of the analyses, score tables were systematically designed for the pesticide properties such that the sum of the scores for a particular pesticide, designated as the contamination index, was proportional to the expected/predicted concentration of that pesticide in river water. The contamination indexes for pesticides applied in three river basins were calculated and compared with the corresponding observed pesticide concentrations. Correlations between contamination indexes and observed concentrations were fairly good. Pesticides were ranked according to the quotients obtained by dividing the pesticide concentrations predicted from the contamination indexes by the corresponding drinking-water quality guideline values, and pesticide candidates to be monitored were successfully selected on the basis of a threshold quotient.
机译:测量集水区所有农药的河水浓度是一项艰巨的任务。这项研究旨在开发用于选择分析目标农药的新评分表。使用弥散污染水文模型进行了敏感性分析,以定量评估农药特性(例如log K_(Oc),可降解性[半衰期])对河水中稻田农药浓度的影响。使用分析结果,针对农药特性系统地设计了分数表,以使特定农药的分数总和(称为污染指数)与该农药在河水中的预期/预测浓度成正比。计算了三个流域施用的农药的污染指数,并将其与相应的观测农药浓度进行比较。污染指数与观察到的浓度之间的相关性很好。根据将污染物指数所预测的农药浓度除以相应的饮用水水质准则值所得到的商对农药进行分级,并基于阈值商成功选择了要监测的农药候选物。

著录项

  • 来源
    《Water Research》 |2012年第3期|p.741-749|共9页
  • 作者单位

    Graduate School of Engineering, Hofekaido University, N13W8, Sapporo 060-8628, Japan;

    Faculty of Engineering, Hokkaido University, N13W8, Sapporo 060-8628, Japan;

    Graduate School of Engineering, Hofekaido University, N13W8, Sapporo 060-8628, Japan;

    College of Engineering, Kanto Gakuin University, Mutsuurahigashi 1-50-1, Kanazawa-ku, Yokohama 236-8501, Japan;

    Faculty of Engineering, Hokkaido University, N13W8, Sapporo 060-8628, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    pesticide runoff; index; ranking; risk assessment;

    机译:农药径流指数;排行;风险评估;
  • 入库时间 2022-08-17 13:46:17

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