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Evaluating the SWAT model to predict streamflow, nitrate loadings and crop yields in a small agricultural catchment

机译:评估SWAT模型以预测小型农业流域的水流量,硝酸盐含量和农作物产量

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Abstract. This study aimed to evaluate the applicability of the Soil and WaterAssessment Tool (SWAT) to predict streamflow, nitrate loadings and cropyields for a small agricultural catchment in northeastern Germany. To thisend, a 167ha catchment was delineated consisting of 10?hydrologicalresponse units. Daily data for streamflow and nitrate loadings from 2004 to2015 were used to calibrate and validate the model, while annual values forcrop yields (winter wheat, winter barley, rapeseed, maize silage) wereavailable. In addition, the detailed field maps provided by the local farmerwere used to implement exact crop rotations and nitrogen fertilization intothe model. Nash-Sutcliffe-Efficiencies for streamflow were 0.54 during thecalibration and 0.57 for the validation period. The modeling performance fornitrate loadings were lower with 0.31 for the calibration and 0.42 for thevalidation period. The average crop yields were reproduced well, while SWATfailed to reproduce the inter-annual crop yield variations. A scenarioanalysis revealed that a slight decrease of nitrogen fertilization leads tosignificant reductions in nitrate loadings, while crop yields remained on ahigh level. The outcome of the study may help practitioners to operateaccording to an economic and environmental optimal N management.Nevertheless, experimental studies with varying fertilization intensities atcatchment scale are needed to underpin the modeling results.
机译:抽象。这项研究旨在评估土壤和水评估工具(SWAT)在预测德国东北部一个小型农业流域的水流量,硝酸盐含量和农作物产量方面的适用性。为此,划定了一个167公顷的流域,包括10个水文响应单元。使用2004年至2015年的每日流量和硝酸盐含量的每日数据来校准和验证该模型,而可获得年度作物产量(冬小麦,冬大麦,油菜籽,玉米青贮饲料)的年值。此外,还使用了当地农民提供的详细田间地图,以将确切的作物轮作和氮肥施用于模型中。在校准期间,纳什-萨特克利夫效率为0.54,在验证期间为0.57。硝酸盐负荷的建模性能较低,校准时为0.31,验证时为0.42。平均农作物单产良好,而特警部门未能复制年际农作物单产变化。情景分析表明,氮肥的略微减少会导致硝酸盐含量的显着降低,而农作物的产量仍保持较高水平。研究结果可能有助于从业人员根据经济和环境上的最佳氮管理进行操作。但是,仍需要进行不同施肥强度集水规模的实验研究以支持建模结果。

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