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Modelling triazines in the valley of the River Cauca, Colombia, using the annualized agricultural non-point source pollution model

机译:使用年度农业面源污染模型对哥伦比亚考卡河谷地的三嗪进行建模

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The annualized agricultural non-point source pollution model (AnnAGNPS) was applied to simulate losses of triazine herbicides to the River Cauca following application to sugarcane, maize and sorghum in the Cauca Valley of Colombia. Surface runoff was found to be the main driver of triazine losses to surface water in the catchment. Satisfactory simulation and validation of the hydrology was achieved after little calibration (Nash-Sutcliffe model efficiency = 0.70 and r(2) = 0.73). A fairly good simulation of pesticides was generally achieved, but some patterns in the measured data could not be simulated. Uncertainty analyses of sensitive input parameters were carried out which explained most of the concentrations that were not captured by the initial simulation; however, evidence of point source pollution was observed for some large concentrations measured upstream. Replacing triazine herbicides with mesotrione was predicted to result in an 87% reduction in pesticide losses expressed as a proportion of the total pesticide applied. (C) 2016 Elsevier B.V. All rights reserved.
机译:在哥伦比亚考卡河谷地区应用甘蔗,玉米和高粱后,采用年度农业面源污染模型(AnnAGNPS)模拟三嗪类除草剂在考卡河的损失。发现地表径流是三嗪流失到流域地表水的主要驱动力。经过很少的校准(Nash-Sutcliffe模型效率= 0.70和r(2)= 0.73),就获得了令人满意的水文模拟和验证。通常可以对农药进行较好的模拟,但是无法模拟测量数据中的某些模式。进行了敏感输入参数的不确定性分析,这解释了最初模拟未捕获的大多数浓度。但是,在上游测得的一些较大浓度的污染物观察到了点源污染的证据。据预测,用甲基磺草酮替代三嗪类除草剂可使农药损失减少87%,占所施用农药总量的比例。 (C)2016 Elsevier B.V.保留所有权利。

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