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首页> 外文期刊>Journal of Hydrology >Applying linear discriminant analysis to predict groundwater redox conditions conducive to denitrification
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Applying linear discriminant analysis to predict groundwater redox conditions conducive to denitrification

机译:应用线性判别分析预测有利于反硝化的地下水氧化还原条件

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Highlights?LDA provides insights into the physical conditions associated with denitrification.?Denitrification occurs on coastal plains where poorly drained soils are found.?Other indicators are soil carbon content, water table depth, and sediment type.?Hydrological bypassing of denitrifying areas occurs via artificial drainage.AbstractDiffuse nitrate losses from agricultural land pollute groundwater resources worldwide, but can be attenuated under reducing subsurface conditions. In New Zealand, the ability to predict where groundwater denitrification occurs is important for understanding the linkage between land use and discharges of nitrate-bearing groundwater to streams. This study assesses the application of linear discriminant analysis (LDA) for predicting groundwater redox status for Southland, a major dairy farming region in New Zealand. Data cases were developed by assigning a redox status to samples deriv
机译:<![cdata [ 亮点 LDA为与脱氮相关的物理条件提供见解。 沿海平原上发生的脱油发现土壤。 其他指标是土壤碳含量,水位深度和沉积物类型。 水文旁路反硝化a REAR通过人工排水进行。 抽象 弥漫硝酸盐损失从全球农业土地污染地下水资源弥漫硝酸盐损失,但可以在降低地下条件下衰减。在新西兰,预测地下水反硝化发生的能力对于了解土地使用与硝酸盐地下水的排放到溪流来说是重要的。该研究评估了线性判别分析(LDA)在新西兰的主要乳制品养殖区预测南地地下水雷诺地区的应用。通过将redox状态分配给Samples Deriv来开发数据案例

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