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A comparison of predicted and measured levels of runoff-related pesticide concentrations in small lowland streams on a landscape level

机译:在景观水平上对低地小溪流中与径流有关的农药浓度的预测水平与测量水平的比较

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Short-term pollution events via runoff are typical of streams in agricultural areas. Existing runoff models that simulate pesticide loss from agricultural fields require extensive input of information. There is thus a need for a simple model that can predict runoff-related pesticide concentrations in many streams on a landscape level when only limited data are available.To validate such a model, the runoff-related pesticide load of 18 small lowland streams was predicted with an extended version of the model "simplified formula for indirect loadings caused by runoff' (available from the Organisation for Economic Cooperation and Development, OECD). The authors suggest that the model presented here is suitable for use in routine exposure assessment of pesticides on a landscape level, as all input data (soil, slope, precipitation, pesticide application) are readily available from public authorities or could be generated by simple regional flood hydrograph curves.The predicted concentrations were compared with measured concentrations obtained by runoff-triggered sampling. Fungicides, insecticides and herbicides were detected in 17 streams, with max. concentrations measuring up to 29.7 mug/l for the fungicide azoxystrobin and 0.3 mug/l for the insecticide parathion-ethyl. Herbicides were detected in 16 streams, with max. concentrations between 13.7 and 1.2 mug/l. The linear regression between the predicted and measured concentrations (log-values) shows significant correlations for the following pesticides: azoxystrobin: r(2) = 0.43; p = 0.03; epoxiconazole: r(2) = 0.71; p < 0.01; tebuconazole: r(2) = 0.77; p less than or equal to 0.01. The present model successfully explains the pesticide concentrations associated with single entry events caused by runoff, especially at concentration levels above (> 0.5 mug/l). (C) 2004 Published by Elsevier Ltd.
机译:径流引起的短期污染事件是农业地区河流的典型特征。现有的模拟农田农药流失的径流模型需要大量的信息输入。因此,需要一个简单的模型来预测只有有限数据时景观水平上许多径流中与农药有关的农药浓度。为验证该模型,预测了18个低地小溪流中与径流有关的农药负荷模型的扩展版本“由径流引起的间接负荷的简化公式”(可从经济合作与发展组织(OECD)获得)。作者建议,此处介绍的模型适用于常规的农药暴露评估。由于所有输入数据(土壤,坡度,降水,农药施用)都可以从公共机构获得,或者可以通过简单的区域洪水水位曲线生成,因此可以将其作为景观水平。将预测浓度与径流触发采样获得的测量浓度进行比较。在17条溪流中检测到杀菌剂,杀虫剂和除草剂,最大浓度可达29.7马克杯/ l用于杀真菌剂嘧菌酯,0.3杯/ l用于杀虫剂对硫磷-乙基。在16个流中检测到除草剂,最大浓度在13.7至1.2杯/升之间。预测浓度与实测浓度(对数值)之间的线性回归显示出以下农药的显着相关性:嘧菌酯:r(2)= 0.43; p = 0.03;环氧康唑:r(2)= 0.71; p <0.01;戊唑醇:r(2)= 0.77; p小于或等于0.01。本模型成功地解释了与径流引起的单次进入事件相关的农药浓度,尤其是在高于(> 0.5杯/升)的浓度水平下。 (C)2004由Elsevier Ltd.出版

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