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The prediction of nitrate leaching with the first-order acidity balance (FAB) model for upland catchment in Great Britain

机译:基于一级酸度平衡(FAB)模型对英国高地集水区硝酸盐浸出的预测

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The relative contribution of N deposition to the acidification of freshwaters in Great Britain has increased over the last few years as S deposition has fallen in line with reduced emissions. In certain high deposition areas of Great Britain, NO3--based acidity can equal or exceed the contribution of SO42--based acidity in some upland waters. Here we apply the first-order acidity balance model (FAB) to predict the maximum N leaching from 13 study catchments at future steady state. Using mean water chemistry and catchment soils data, along with long-term default values for N sink processes, we predict NO3-N leaching at much higher rates than currently are being measured in surface waters, with a mean increase of 10.5 kg ha(-1) yr(-1). As a result, mean acid neutralizing capacity would decline to less than 0 meq L-1 at 4 sites. While there are uncertainties associated with model parameterization relating to the short-term storage of N within catchment soils and vegetation, model outputs do indicate much greater leaching of N at some time in the future as steady-state is achieved. References: 29
机译:在过去几年中,随着硫沉降与排放减少一致,氮沉降对英国淡水酸化的相对贡献有所增加。在英国的某些高沉积地区,NO3基酸度可以等于或超过一些高地水域SO42基酸度的贡献。在这里,我们应用一级酸度平衡模型 (FAB) 来预测未来稳态下 13 个研究集水区的最大氮浸出量。利用平均水化学和集水区土壤数据,以及氮汇过程的长期默认值,我们预测NO3-N的浸出速度远高于目前在地表水中测量的速率,平均增加10.5公斤公顷(-1)年(-1)。因此,在 4 个地点,平均酸中和能力将下降到 0 meq L-1 以下。虽然与集水区土壤和植被中氮的短期储存有关的模型参数化存在不确定性,但模型输出确实表明,随着稳态的实现,在未来某个时间,氮的淋溶量要大得多。[参考文献: 29]

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