首页> 外文期刊>Transactions of the ASAE >INCORPORATING PREFERENTIAL FLOW AND HERBICIDE FATE AND TRANSPORT INTO THE DRAINAGE MODEL
【24h】

INCORPORATING PREFERENTIAL FLOW AND HERBICIDE FATE AND TRANSPORT INTO THE DRAINAGE MODEL

机译:将优先流量和除草剂的命运并入排水模型

获取原文
获取原文并翻译 | 示例
       

摘要

The DRAINAGE model was modified by incorporating a pesticide component and a preferential flow component in order to simulate pesticide concentrations in subsurface drain flows. Field data on subsurface drain flows and their atrazine concentrations were used to calibrate and validate the enhanced DRAINAGE model for growing seasons of 1990, 1991, and 1992. Simulated subsurface drain flows and their atrazine concentrations were compared with the measured values. Predicted daily flows by the modified DRAINAGE model were close to the observed values (difference over all years + 6.3%). Overall mean difference (Md) and correlation coefficient (R2) were + 0.1 mm and 0.70, respectively. The predicted atrazine concentrations in subsurface drainage water followed the observed trends well except in 1992. The overall timings of pesticide appearance in the drain water were predicted well by the model. The annual atrazine losses with subsurface drain flows predicted by the model were also in close agreement with the observed losses for 1990 and 1991 (with 1.1% difference). The results of this study indicated that the modified DRAINAGE model has good potential for simulating atrazine concentrations for normal rainfall years when a substantial amount of pesticides may be lost in the subsurface drainage water (overall Md = 2.03 ìg/kg and R2 = 0.58).
机译:通过合并农药成分和优先流量成分对排水模型进行了修改,以模拟地下排水中的农药浓度。使用地下排水流量及其their去津浓度的现场数据来校准和验证1990、1991和1992年生长期的增强型DRAINAGE模型。将模拟地下排水流量及其at去津浓度与测量值进行比较。修改后的DRAINAGE模型预测的每日流量接近观测值(所有年份的差异+ 6.3%)。总平均差(Md)和相关系数(R2)分别为+ 0.1 mm和0.70。除1992年以外,地下排水中at去津的预测浓度均遵循观察到的趋势。该模型很好地预测了排水中农药出现的总体时间。该模型预测的阿特拉津年损失与地下排水流量也与1990年和1991年观察到的损失非常一致(相差1.1%)。这项研究的结果表明,改进的DRAINAGE模型具有很好的潜力,可以模拟正常降雨年份的阿特拉津浓度,因为地下排水中可能会损失大量农药(总Md = 2.03μg/ kg,R2 = 0.58)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号