Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model
Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N Model
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DOI：
10.1109/bigdata50022.2020.9378105
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
B. Samani;S. Samani;Haishun Yang;Hongfeng Yu
中科院分区：
文献类型：
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作者：
B. Samani;S. Samani;Haishun Yang;Hongfeng Yu
氮(N)是包括玉米和大豆在内的许多作物的必需营养。然而，它渗入地下水是一个严重的环境和公众健康问题。氮素淋失量与土壤排水量和降雨量密切相关。作物系统氮素淋失预测是提高作物管理水平的关键。玉米氮素是玉米产量和推荐施氮量的模型。然而，许多参数的不确定性，如天气预报、土壤性质和用户输入的信息(如施N肥)，可能会导致N淋失模拟结果的不确定性。我们开发了一个平台，以帮助了解各种输入参数与氮素淋失之间的关系。我们的平台可以通过不同参数的不确定性分析和可视化来揭示氮素淋溶。
Nitrogen (N) is an essential nutrient for many crops including corn and soybean. However, its leaching into groundwater is a serious cause of concern for environmental and public health. The amount of N leaching is closely linked to soil water drainage and rainfall. Prediction of N leaching in cropping systems is critical to the improvement of crop management. Maize-N is a model for maize yield and N rate recommendation. However, uncertainties in many parameters, such as weather predictions, soil properties, and information entered by users (e.g., applied N fertilizer), can incur uncertainties in N leaching simulation results. We have developed a platform to assist comprehending the relationship between various input parameters and N leaching. Our platform can reveal N leaching with uncertainty analysis and visualization of different parameters.