Stochastic Modeling Framework of Catchment-Scale Reactive Transport (P07)

流域规模反应输运的随机建模框架（P07）

• 批准号: 342514728
• 金额: --
• 依托单位: Institut für Bodenkunde und Standortslehre (310)
• 依托单位国家: 德国
• 项目类别: Collaborative Research Centres
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/342514728?language=en
• 关键词: Stochastic; Modeling; Framework; Catchment; Scale

Project P7 develops a stochastic modeling framework for flow and reactive transport on catchment scale. Processes at the land surface and in soils are simulated by stochastified soil-crop models, which are coupled to a stochastified 3-D flow model of the subsurface below root depth with travel-/exposure-time based models of multi-component nonlinear reactive transport of nitrate and pesticides in domains of Quaternary aquifers and to travel-/exposure-time based lumped models in karst regions. Parameters and forcings are considered as statistical distributions, resulting in distributions of predicted observables (heads, discharge, concentrations of reactive species). The parameter distributions will be conditioned on measurements of the observables by Ensemble-Kalman Filter techniques.

项目P7开发了一个随机建模框架，用于流域尺度上的流量和反应性输运。在陆地表面和土壤中的过程进行了模拟随机土壤作物模型，这是耦合到一个随机的3-D流动模型的地下根深度以下的旅行/滞留时间为基础的模型的多组分非线性反应运输的硝酸盐和农药在域的第四纪含水层和旅行/滞留时间为基础的集总模型在岩溶地区。参数和强迫被认为是统计分布，导致分布的预测观测（头，放电，活性物质的浓度）。参数分布的条件下，通过集合卡尔曼滤波技术的可观测量的测量。