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Modeling Pesticide Runoff from Small Watersheds through Field-Scale Management Practices: Minnesota Watershed Case Study with Chlorpyrifos

机译:通过田间规模管理实践模拟小流域的农药径流:毒死Min的明尼苏达流域案例研究

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Experimental studies of pesticide fate in surface runoff offer only a snapshot of the near semi-infinite parameter combinations that can and do occur in the environment, and mechanistic modeling is often used to supplement the often limited number of experimental observations. However, what has been lacking in pesticide surface runoff modeling is the impact of field-scale best management practices (BMPs) on the concentrations of pesticides found at the watershed outlet. A novel application of melding three agricultural models together was used to address field-scale BMPs and off-target pesticide environmental concentrations at the watershed scale resulting from agricultural surface runoff. These models were the pesticide root zone model [PRZM, an edge-of-field runoff and leaching model sanctioned by the US Environmental Protection Agency (USEPA)]; the United States Department of Agriculture-Agricultural Research Service watershed scale model, the soil and water assessment tool (SWAT); and the academic model, the vegetated filter strip model (VFSMOD). Watershed models such as SWAT, using high-resolution local input data, are capable of predicting watershed behavior but are limited when addressing field-scale BMPs. A unique method to approximate a small watershed as a linear combination of sub-basins and fields [hydrologic response units (HRUs)] is presented. Water, sediment, and pesticide runoff for each HRU are simulated using the USEPA field model PRZM. Daily edge-of-field PRZM predictions for pesticides in runoff water and eroded sediment are coupled with VFSMOD to address the effectiveness of a maintained vegetated filter strip (VFS) across the growing season in reducing pesticide loadings and water quality at the watershed outlet. Daily chlorpyrifos (CHP, insecticide) concentrations simulated for the Seven Mile Creek Watershed, MN, using the above modeling approach resulted in a spectrum of concentrations reported by the MN Department of Natural Resources. Simulated VFS effectiveness when used across all pesticide-treated fields ranged between 22% and 100% reductions in CHP mass across all runoff-producing events.
机译:地表径流中农药命运的实验研究仅提供了在环境中可能并且确实会发生的近半无限参数组合的快照,并且通常使用机械建模来补充通常数量有限的实验观察结果。但是,农药表面径流模型一直缺乏的是田间规模的最佳管理实践(BMP)对在流域出口处发现的农药浓度的影响。将三个农业模型融合在一起的一种新颖应用被用于解决农田规模的BMP和农业表面径流导致的分水岭规模外的目标农药环境浓度。这些模型是农药根区模型[PRZM,美国环境保护署(USEPA)批准的田间径流和浸出模型];美国农业部农业研究局的分水岭规模模型,土壤和水评估工具(SWAT);以及学术模型,即植被过滤带模型(VFSMOD)。使用高分辨率的本地输入数据的分水岭模型(例如SWAT)能够预测分水岭行为,但在处理现场规模的BMP时受到限制。提出了一种将小流域近似化为子流域和田地[水文响应单位(HRU)]的线性组合的独特方法。使用USEPA现场模型PRZM对每个HRU的水,沉积物和农药径流进行了模拟。每日边际PRZM对径流水和侵蚀性沉积物中农药的预测与VFSMOD结合使用,可解决整个生长季节中植被维持的滤纸带(VFS)在减少流域出口处的农药负荷和水质方面的有效性。使用上述建模方法对明尼苏达州七哩溪流域的每日毒死rif(CHP,杀虫剂)浓度进行了模拟,得出了MN自然资源部报告的一系列浓度。在所有杀虫剂处理过的田间使用时,模拟的VFS有效性可在所有径流产生事件中将CHP质量降低22%至100%。

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