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首页> 外文期刊>Mitteilungen aus der Biologischen Bundesanstalt fur Land-und Forstwirtschaft Berlin-Dahlem >Evaluation and improvement of mathematical models of pesticide mobility id soils and assessment of their potential to predict contamination of water systems.
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Evaluation and improvement of mathematical models of pesticide mobility id soils and assessment of their potential to predict contamination of water systems.

机译:评价和改进农药流动性土壤数学模型,并评估其预测水系统污染的潜力。

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摘要

In this project with participants from Germany, the United Kingdom, Italy and France, the simulation models LEACHP, PRZM2 and VARLEACH were examined with regard to their efficiency in predicting the contamination of water (including groundwater). Forthis purpose, about 80 data sets from the participating countries were stored in a database, which also provides most of the input data necessary for modelling, e.g. soil and climatic data. This comprehensive pool of data from contrasting climates offersthe possibility to investigate the suitability of the models under varied conditions. A user-friendly interface (MARVEL - Model Attribute Relationship Validation and Entry Layout) was created to facilitate use of the three main models LEACHP, PRZM2 andVARLEACH. It allows data input a sequence of standardized screens, from which model input files (e.g. input or weather data files) are created automatically. Additionally a routine for graphical output of different results is included. Measured and simulated results (from LEACHP, PRZM2 and VARLEACH) using 26 selected data sets with comprehensive input data were compared with respect to distribution of residues in soil and, where possible, leachate concentrations. No general conclusions can be drawn regarding the suitability of the models. Even within time-phase samples from a single experiment, there was considerable variability in model performance, with no obvious explanation. Using several models on one data set, each might give the best fit at a different sampling date. Overall, redistribution and persistence in soil were described better than breakthrough and concentration in leachate.
机译:在该项目中,来自德国,英国,意大利和法国的参与者对LEACHP,PRZM2和VARLEACH仿真模型在预测水(包括地下水)污染方面的效率进行了检验。为此目的,来自参与国的大约80个数据集被存储在一个数据库中,该数据库还提供了建模所需的大部分输入数据,例如土壤和气候资料。来自不同气候的综合数据池提供了研究模型在不同条件下的适用性的可能性。创建了一个用户友好界面(MARVEL-模型属性关系验证和条目布局),以促进使用三个主要模型LEACHP,PRZM2和VARLEACH。它允许数据输入一系列标准化屏幕,从中自动创建模型输入文件(例如输入或天气数据文件)。此外,还包括用于以图形方式输出不同结果的例程。使用26个选定的数据集和全面的输入数据,对测得的和模拟的结果(来自LEACHP,PRZM2和VARLEACH)进行了比较,比较了土壤中残留物的分布以及沥滤液浓度。关于模型的适用性,无法得出一般性结论。即使在单个实验的时间阶段样本中,模型性能也存在相当大的差异,没有明显的解释。在一个数据集上使用多个模型,每个模型可能在不同的采样日期提供最佳拟合。总体而言,土壤中的重新分布和持久性比渗滤液中的突破和浓缩更好。

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