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Intense rainfalls trigger nitrite leaching in agricultural soils depleted in organic matter

机译:激烈的降雨引发亚硝酸盐在有机质中耗尽的农业土壤中的浸入

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Nitrate and ammonium are common inorganic contaminants of anthropogenic origin in many shallow aquifers around the world, while nitrite is less common, but it is most harmful than nitrate and ammonium due to its high reactivity. This paper presents evidence of nitrite accumulation after intense rainfalls in soil samples collected in an agricultural field characterized by organic matter chronic depletion. Moreover, an intact core from the same site was also collected to perform an unsaturated column experiment (60 cm long and 20 cm outer diameter) mimicking heavy rainfalls (230 mm in 2 days). Results from the field site showed nitrite accumulation (up to 0.45 mmol/kg) at 50-70 cm depth, just below the plough layer. The column experiment showed very high initial concentrations of nitrate and nitrite in the leachate and a progressive decrease of nitrate due to denitrification. The numerical flow model was calibrated versus the observed volumetric water contents and leachate flow rates. The numerical reactive transport model was calibrated versus the leachate concentrations of six dissolved species (ammonium, nitrate, nitrite, dissolved organic carbon, chloride and bromide). The optimized model resulted to be robustly calibrated providing insights on the kinetic rates driving the production, accumulation and leakage of nitrite, showing that incomplete denitrification is the source of nitrite. As far as the authors are aware, this is the first study reporting a clear link between high nitrite leaching rates and extreme rainfall events in lowland agricultural soils depleted in organic matter. The proposed methodology could be applied to quantify nitrite cycling processes in many other agricultural areas of the world affected by extreme rainfall events. (c) 2019 Elsevier B.V. All rights reserved.
机译:硝酸盐和铵是世界各地许多浅含水层中人为血管的常见无机污染物,而亚硝酸盐不太常见,但由于其高反应性,它比硝酸盐和铵最有害。本文介绍了在具有有机物质慢性耗尽的农业领域收集的土壤样品中浓度升高后亚硝酸盐积累的证据。此外,还收集来自同一部位的完整核心,以执行不饱和柱实验(60厘米长,20cm外径),模仿大雨(230毫米)。现场网站的结果显示在50-70厘米的深度下亚硝酸盐积聚(高达0.45mmol / kg),沿犁层下方。柱实验显示出在渗滤液中的硝酸盐和亚硝酸盐的非常高的初始浓度,并且由于反硝化而硝酸盐的逐渐降低。数值流动模型与观察到的体积水含量和渗滤液流速校准。校准数值反应性传输模型与六种溶解物种(铵,硝酸铵,亚硝酸盐,溶解的有机碳,氯和溴化物)的渗滤液浓度校准。优化的模型导致强大地校准了推动亚硝酸盐的生产,积累和泄漏的动力速率的洞察,表明不完全脱氮是亚硝酸盐的来源。就作者来说,这是第一次研究报告有机物质耗尽的低亚硝酸盐浸出率和极端降雨事件的明确联系。所提出的方法可以应用于量化受极端降雨事件影响的世界许多其他农业领域的亚硝酸盐循环过程。 (c)2019 Elsevier B.v.保留所有权利。

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