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Prediction for Ship Emissions Based on Non-Equigap Grey Model

机译:基于非等价灰色模型的船舶排放预测

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The prediction for ship exhaust emissions is significant. According to the data about emission of diesel engines under different operating power, this paper constructs non-equigap GM(1,1) model. And it is solved and calculated based on the knowledge about Matrix Theory, which makes this model and calculation simplified and accessible. Then quantitative results to the prediction of Sulfur Dioxide and Carbon Dioxide in emissions have been gotten. Finally comparing with the actual value to test this model, it can be found that the predicting outcomes are satisfactory. The model with simple operation and high precision is easy to apply and popularize in environmental monitoring, which has important significance.
机译:船舶尾气排放量的预测非常重要。根据不同工作功率下的柴油机排放数据,建立了非装备GM(1,1)模型。并且基于矩阵理论的知识对其进行求解和计算,从而简化了该模型和计算并使其易于访问。然后获得了预测排放中二氧化硫和二氧化碳的定量结果。最后,通过与实际值进行比较验证该模型的预测结果是令人满意的。该模型操作简单,精度高,易于在环境监测中应用和推广,具有重要意义。

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