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A Review Of Model Applications For Structured Soils: B) Pesticide Transport

机译:结构性土壤模型应用的综述:B)农药运输

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The past decade has seen considerable progress in the development of models simulating pesticide transport in structured soils subject to preferential flow (PF). Most PF pesticide transport models are based on the two-region concept and usually assume one (vertical) dimensional flow and transport. Stochastic parameter sets are sometimes used to account for the effects of spatial variability at the field scale. In the past decade, PF pesticide models were also coupled with Geographical Information Systems (GIS) and groundwater flow models for application at the catchment and larger regional scales. A review of PF pesticide model applications reveals that the principal difficulty of their application is still the appropriate parameterization of PF and pesticide processes. Experimental solution strategies involve improving measurement techniques and experimental designs. Model strategies aim at enhancing process descriptions, studying parameter sensitivity, uncertainty, inverse parameter identification, model calibration, and effects of spatial variability, as well as generating model emulators and databases. Model comparison studies demonstrated that, after calibration, PF pesticide models clearly outperform chromatographic models for structured soils. Considering nonlinear and kinetic sorption reactions further enhanced the pesticide transport description. However, inverse techniques combined with typically available experimental data are often limited in their ability to simultaneously identify parameters for describing PF, sorption, degradation and other processes. On the other hand, the predictive capacity of uncalibrated PF pesticide models currently allows at best an approximate (order-of-magnitude) estimation of concentrations. Moreover, models should target the entire soil-plant-atmosphere system, including often neglected above-ground processes such as pesticide volatilization, interception, sorption to plant residues, root uptake, and losses by runoff. The conclusions compile progress, probleme, and future research choices for modelling pesticide displacement in structured soils.
机译:在过去的十年中,模拟农药在优先流(PF)作用下在结构化土壤中运输的模型已经取得了长足的进步。大多数PF农药运输模型都基于“两区域”概念,通常采用一维(垂直)流动和运输。有时使用随机参数集来说明田间尺度上空间变异性的影响。在过去的十年中,PF农药模型还与地理信息系统(GIS)和地下水流模型相结合,以在流域和更大的区域规模中应用。对PF农药模型应用的回顾表明,其应用的主要困难仍然是PF和农药工艺的适当参数化。实验解决方案策略涉及改进测量技术和实验设计。模型策略旨在增强过程描述,研究参数敏感性,不确定性,反参数识别,模型校准和空间可变性的影响,以及生成模型仿真器和数据库。模型比较研究表明,校正后,PF农药模型明显优于结构化土壤的色谱模型。考虑到非线性和动力学吸附反应,进一步增强了农药的运输描述。但是,与通常可得的实验数据相结合的逆向技术通常无法同时识别用于描述PF,吸附,降解和其他过程的参数。另一方面,未经校准的PF农药模型的预测能力目前最多只能估算浓度(数量级)。此外,模型应针对整个土壤-植物-大气系统,包括通常被忽略的地上过程,例如农药挥发,截留,对植物残渣的吸附,根系吸收和径流损失。结论为模型化土壤中农药置换建模提供了进展,问题和未来的研究选择。

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