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Rapid on site assessment of a compost chemical stability parameter by UV and fluorescence spectroscopy coupled with mathematical treatment

机译:通过UV和荧光光谱与数学治疗耦合的钙化化学稳定性参数的现场评估

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摘要

Sewage sludges are problematic due to the constant increase of urban population. The high level of organic matter in sludges can be valorized by co-composting with green waste. Many chemical changes occur in the compost maturation process, resulting on stabilized organic matter by humification which is recoverable as soil amendment. In this way, the knowledge of organic matter stability and maturity of compost is essential. However, estimation of chemical parameters allowing the management of compost quality usually need complex time consuming laboratory measurements. Indeed, there is not yet rapid, simple and robust method for their on site assessment at the moment. Among usual parameters used to monitor compost evolution, the C/N ratio is a fundamental chemical parameter. The aim of this work is the estimation of the C/N ratio using a Partial Least Squares regression based on UV and fluorescence spectroscopic data and pH from compost water extracts at various steps of composting process and measured on site. A mathematical linear model is established based on selected data (pH, spectroscopic indices) resulting on average relative error for C/N estimation of 5.26% (range between 0.5% min. and 9.5% max.). This tool leads to a rapid and simple on site estimation of the compost stabilization, allowing qualification of the end-product resulting on a global spectroscopic index of stability. (C) 2020 Elsevier Ltd. All rights reserved.
机译:由于城市人口不断增加,污水污泥是有问题的。通过与绿色废物共堆肥,可以沉积高水平的有机物。在堆肥成熟过程中发生许多化学变化,导致湿度稳定的有机物,可作为土壤修正。通过这种方式,有机质稳定性和堆肥成熟度的知识至关重要。然而,估计化学参数允许管理堆肥质量的管理通常需要复杂的耗时的实验室测量。实际上,目前尚未对其现场评估进行快速,简单,稳健的方法。在用于监测堆肥演化的常用参数中,C / N比是基本化学参数。该工作的目的是使用基于UV和荧光光谱数据的局部最小二乘回归和从堆肥过程中的堆积水提取物的pH值估计C / N比,并在现场测量。基于所选数据(pH值,光谱索引)建立数学线性模型,从而导致C / N估计的平均相对误差为5.26%(范围0.5%min。最大9.5%)。该工具在堆肥稳定的现场估计方面导致快速且简单,允许最终产品的资格导致全局光谱指标的稳定性指标。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Waste Management》 |2020年第7期|413-421|共9页
  • 作者单位

    Univ Toulon & Var Aix Marseille Univ CNRS INSU IRD MIO UM 110 Mediterranean Inst Oceanog CS 60584 F-83041 Toulon France|Aix Marseille Univ CNRS LCE UMR 7376 F-13331 Marseille France|Univ Sci & Tech Masuku Franceville Gabon;

    Univ Toulon & Var Aix Marseille Univ CNRS INSU IRD MIO UM 110 Mediterranean Inst Oceanog CS 60584 F-83041 Toulon France;

    Aix Marseille Univ CNRS LCE UMR 7376 F-13331 Marseille France;

    Aix Marseille Univ CNRS LCE UMR 7376 F-13331 Marseille France;

    Univ Toulon & Var Aix Marseille Univ CNRS INSU IRD MIO UM 110 Mediterranean Inst Oceanog CS 60584 F-83041 Toulon France;

    Aix Marseille Univ CNRS LCE UMR 7376 F-13331 Marseille France;

    Univ Toulon & Var Aix Marseille Univ CNRS INSU IRD MIO UM 110 Mediterranean Inst Oceanog CS 60584 F-83041 Toulon France;

    Univ Toulon & Var Aix Marseille Univ CNRS INSU IRD MIO UM 110 Mediterranean Inst Oceanog CS 60584 F-83041 Toulon France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Partial Least Square regression; C/N ratio; Spectroscopic indices; Sewage sludge; Water extracts; Compost maturity;

    机译:部分最小二乘回归;C / N比;光谱索引;污水污泥;水提取物;堆肥成熟;

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