Sediment transport from agricultural fields to native waterways is a significant pollution vector, not just for the bulk sediment, but also for additional mass of pesticides traveling offsite that are sorbed to soil particles. Existing field scale models that track plant growth as well as the fate and transport of applied pesticides lack an integrated sediment transport component. This study sought to address this lack of available modeling tools for researchers and regulators by integrating the sediment and surface flow components of Groundwater Loading Effects of Agricultural Management Systems (GLEAMS) model into the mature Root Zone Water Quality Model (RZWQM) to create a derivative model named RZWQM-Sed. Previous research identified RZWQM as a quick running, agricultural field scale model that accurately estimated offsite transport of solutes. Unlike other well performing field scale agricultural models, the full source code of RZWQM was available for modification and extension. However, RZWQM lacked a sediment component and thus could not measure all pollutants moving offsite. GLEAMS sedimentation was chosen for integration due to its well documented history, compatibility with the RZWQM codebase, and source code availability. Sensitivity analysis of the RZWQM runoff variables showed that the residual water content, saturated water content, and bubbling pressure from the Brooks-Corey equation had the highest influence for RZWQM followed by the saturated hydraulic conductivity and the non-Brooks-Corey bubbling pressure. Analysis of GLEAMS variables showed the most significant variables are the USLE parameters (cfact, pfact, ksoil) and Manning's N. The latter variable only showed sensitivity at very high surface roughness while the USLE parameters had a linear relationship over the entire domain. The integrated model was calibrated and validated using multiple real-world datasets spanning ranges of space and time. The final model performed well in the primary task of predicting the mass of sorbed chemicals in the tailwater (Nash-Sutcliffe coefficient > 0.3).

从农田到天然水道的泥沙运输是一个重要的污染载体，不仅对于大量的沉积物，而且对于非现场运输的大量吸附到土壤颗粒中的农药也是如此。跟踪植物生长以及所施用农药的命运和运输的现有田间规模模型缺乏集成的沉积物运输成分。这项研究试图通过将农业管理系统（GLEAMS）模型的地下水负荷效应的泥沙和地表流成分整合到成熟的根区水质模型（RZWQM）中以创建派生模型，以解决研究人员和监管机构缺乏可用的建模工具的问题。型号为RZWQM-Sed。先前的研究将RZWQM确定为一种快速运行的农业规模模型，可准确估算溶质的异地运输。与其他性能良好的田间规模农业模型不同，RZWQM的完整源代码可用于修改和扩展。但是，RZWQM缺少沉积物成分，因此无法测量所有异地迁移的污染物。选择GLEAMS沉降进行集成是因为其历史记录良好，与RZWQM代码库的兼容性以及源代码的可用性。对RZWQM径流变量的敏感性分析表明，来自Brooks-Corey方程的残余水含量，饱和水含量和鼓泡压力对RZWQM的影响最大，其次是饱和水力传导率和非Brooks-Corey鼓泡压力。对GLEAMS变量的分析显示，最重要的变量是USLE参数（cfact，pfact，ksoil）和Manning'sN。后一个变量仅在非常高的表面粗糙度下显示灵敏度，而USLE参数在整个范围内具有线性关系。使用跨越空间和时间范围的多个实际数据集，对集成模型进行了校准和验证。最终模型在预测尾水中吸附的化学物质的质量这一主要任务中表现良好（纳什-苏克利夫系数> 0.3）。