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Evaluation of the Effectiveness of near Infrared Reflectance Spectroscopy (NIRS) on Fe, Cu, Mn and Zn Estimation in Compost

机译:评价堆肥中Fe,Cu,Mn和Zn估计的近红外反射光谱(NIRS)的有效性

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Composting is a treatment whose use for organic waste management is increasing. This process always increases the concentration of non-labile elements and, especially, metals, due to the loss of mass, in terms of water and gaseous emissions. This could constitute a hazard in terms of compost quality and hence, agricultural and environmental issues must be implemented taking into account the increasing presence of metals. Fe, Cu, Mn and Zn are metals usually present in organic wastes in heterogeneous concentration depending on the source and nature of the waste. These metals could be considered simultaneously valuable elements, due to its condition of essential microelements for plants, and pollutants, depending on the dose. The analysis of these elements on each composting batch at commercial level is time-consuming and expensive. So, the estimation of metals in composting facilities based on the use of near infrared reflectance spectroscopy (NIRS) could be an interesting approach in order to monitor the compost quality. In this study, more than 250 samples from 15 different composting procedures using different organic wastes (GS: grape stalk; EGM: exhausted grape marc; GM: grape marc; CM: cow manure; PM: poultry manure; SS: sewage sludge; V: vinasse; CJW: citrus juice waste; Alpeorujo: olive oil waste; AS: almond skin; EP: exhausted peat; TSW: tomato soup waste; SMS: spent mushroom substrate) were used to calibrate and validate the estimation of Fe, Cu, Mn and Zn content in these composts. The results showed that this technique needs to be fitted to each element, using specific spectrum transformations, in order to achieve an acceptable accuracy in the prediction.
机译:堆肥是一种治疗,其用于有机废物管理正在增加。这一过程总是增加非不稳定元件的浓度,并且特别是金属,由于质量损失,在水和气态排放方面。这可能构成堆肥质量方面的危害,因此,必须考虑到金属的不断增长的情况来实施农业和环境问题。 Fe,Cu,Mn和Zn是通常存在于异质浓度的有机废物中的金属,这取决于废物的源和性质。由于其本质的植物和污染物的条件,这些金属可以同时认为有价值的元素,以及污染物的条件,具体取决于剂量。在商业水平的每个堆肥批次上对这些元素的分析是耗时和昂贵的。因此,基于使用近红外反射光谱(NIRS)的堆肥设施中的金属估计可能是一个有趣的方法,以监测堆肥质量。在这项研究中,使用不同的有机废物的15个不同堆肥程序的超过250个样本(GS:葡萄茎; egm:Expered葡萄Marc; GM:葡萄Marc; CM:牛粪; PM:家禽粪便; SS:污水污泥;污水污泥;污水污泥;污水污泥;污水:vinasse; cjw:柑橘汁废料; alpeorujo:橄榄油废物;杏仁skin; ep:ep:epted泥炭; tsw:番茄汤废物; sms:废蘑菇基板)用于校准并验证Fe,Cu,Cu,这些堆肥中的Mn和Zn内容。结果表明,使用特定的频谱变换,需要安装该技术,以便在预测中获得可接受的精度。

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