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Temporal-spatial patterns of three types of pesticide loadings in a middle-high latitude agricultural watershed

机译:中高纬度农业流域三种农药含量的时空格局

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摘要

Pesticide loadings to watersheds increase during agricultural development and may vary in accordance with different crop types and seasons. High pesticide loadings can potentially result in polluted stream water. The objective of this study was to determine the pesticide loadings and concentrations of three typical pesticides (atrazine, oxadiazon, and isoprothiolane) in river water from a middle high latitude agricultural watershed in northern China. During this study, we evaluated the watershed pesticide loss patterns for two crop types over three decades. For this purpose, we integrated data from field investigations, laboratory experiments, and modeling simulations involving a distributed hydrological solute transport model (Soil and Water Assessment Tool, SWAT). SWAT was employed to compare the temporal spatial fate and behaviors of atrazine, oxadiazon, and isoprothiolane from 1990 to 2014 in a watershed area amounting to 141.5 km(2). The results showed that the three pesticides could be detected at different locations throughout the watershed, and isoprothiolane was detected at the maximum value of 1.082 mu g/L in surface runoff of paddy land. The temporal trend for the yearly loading of atrazine decreased slightly over time, but the trends for oxadiazon and isoprothiolane increased markedly over an 18-year analysis period. In regard to the pesticide concentrations in water, atrazine was associated with the largest value of nearly 1.4 mu g/L. July and August were the found to be prime periods for pesticide loss from paddy land, and the biggest monthly loss of atrazine from dryland appeared in June. Under similar usage conditions, isoprothiolane loading from paddy fields ranked as the largest one among the three types of pesticides and reached up to 17 g/ha. Limited monitoring data were useful for validating the model, which yielded valuable temporal-spatial data on the fate of pesticides in this watershed. With the expansion of paddy rice cultivation, risks for pesticide contamination of water bodies will increase. The results of this study should be valuable for future exposure and risk assessments aimed at protecting the environment and human health. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在农业发展过程中,流域的农药装载量增加,并且可能因作物类型和季节的不同而不同。高农药含量可能会导致溪流水污染。这项研究的目的是确定中国北方中部高纬度农业流域河水中的农药含量和三种典型农药(at去津,恶草二酮和异丙硫杂环戊烷)的含量。在这项研究中,我们评估了三十年来两种作物类型的分水岭农药流失模式。为此,我们整合了来自现场调查,实验室实验和建模模拟的数据,其中涉及分布式水文溶质运移模型(土壤和水评估工具,SWAT)。利用SWAT比较了1990年至2014年阿特拉津,恶草二酮和异硫杂环戊烷在141.5 km(2)的分水岭地区的时空命运和行为。结果表明,在该流域的不同位置可以检测到三种农药,在稻田地表径流中检测到的异丙硫酚的最大值为1.082μg / L。在18年的分析期内,at去津年载量的时间趋势随时间略有下降,但草二唑和异硫杂环戊烷的趋势显着增加。关于农药在水中的浓度,r去津的最大值约为1.4μg / L。七月和八月是稻田农药流失的最佳时期,而旱地中at去津的月度最大损失出现在六月。在类似的使用条件下,稻田中的异丙硫杂环戊烷负载量在三种农药中位居第一,达到了17 g / ha。有限的监测数据可用于验证模型,该模型产生了有关该流域农药命运的宝贵时空数据。随着水稻种植的扩大,水体中农药污染的风险将增加。这项研究的结果对于将来旨在保护环境和人类健康的接触和风险评估将是有价值的。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Water Research 》 |2017年第1期| 377-386| 共10页
  • 作者单位

    Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China;

    Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China;

    Umea Univ, Dept Chem, S-90187 Umea, Sweden;

    Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China;

    Beijing Normal Univ, State Key Lab Water Environm Simulat, Sch Environm, Beijing 100875, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Nonpoint Source Pollut Control, Beijing 100083, Peoples R China;

  • 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; Diffuse pollution; Water quality; Agricultural exploitation; Watershed modeling;

    机译:农药;扩散污染;水质;农业开发;流域建模;

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