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Estimating nitrogen and phosphorus losses from lowland paddy rice fields during cropping seasons and its application for life cycle assessment

机译:旱季稻田氮磷流失估算及其在生命周期评估中的应用

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Estimating nitrogen and phosphorus losses into water bodies is crucial for evaluating the environmental impacts of rice cultivation. In this study, published data (N = 80) were used to estimate the total nitrogen (TN) and total phosphorus (TP) that could be lost through leaching and runoff during cropping seasons, taking into account factors that influence these losses. According to second-order Akaike's Information Criterion (AlCc, one of the model selection methods), a model with soil temperature, TN input, inflow water, the incorporation of rice straw residue, puddling, and the use of slow-release fertilizer (P < 0.05) was chosen to estimate TN losses. A model with soil temperature, no application of phosphate fertilizer, medium- and coarse-textured soils (P < 0.05) and inflow water was chosen to estimate TP losses. The root mean square error was reduced by 34.5% for TN and by 21.8% for TP when these models were used compared to when the average proportions of outflowing nutrients were used (e.g., 17.0% for TN and 7.3% for TP in this study). The multiple regression model, taking into account site-specific conditions, was proven to be a readily available method to obtain knowledge of nutrient loading. Once process-based models are readily available, they will improve the estimates of eutrophication potential in life cycle assessments. Further improvement of the method is required, especially for the winter fallow period. (C) 2017 Elsevier Ltd. All rights reserved.
机译:估算水体中的氮和磷损失对于评估水稻种植对环境的影响至关重要。在这项研究中,考虑到影响这些损失的因素,使用已发布的数据(N = 80)来估算可能因作物季节的淋溶和径流而损失的总氮(TN)和总磷(TP)。根据Akaike的二阶信息准则(AlCc,一种模型选择方法),该模型具有土壤温度,总氮输入,流入水,稻草残渣的掺入,搅打和使用缓释肥料的模型(P选择<0.05)来估计TN损失。选择土壤温度,不施用磷肥,中,粗质地土壤(P <0.05)和流入水的模型来估算总磷损失。与使用流出营养素的平均比例相比,使用这些模型时,TN的均方根误差降低了34.5%,TP的均方根误差降低了21.8%(例如,本研究中TN的均方根误差和TP的7.3%) 。考虑到特定地点的条件,多元回归模型被证明是一种易于获取的养分含量信息的方法。一旦可以轻松获得基于过程的模型,它们将改善生命周期评估中富营养化潜力的估计。需要对该方法作进一步的改进,特别是在冬季休耕期。 (C)2017 Elsevier Ltd.保留所有权利。

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