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The composition characteristics of different crop straw types and their multivariate analysis and comparison

机译:不同作物秸秆类型的组成特征及其多变量分析与比较

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摘要

The heterogeneity and complex composition of crop straw are some of the main obstacles to its scientific and efficient industrial utilization. To thoroughly reveal and identify the composition of different crop straw types and their latent attributes, in this study, 784 straw samples of rice, wheat, corn, rape and cotton were collected. Based on the large sample size, 18 composition characteristics, including chemical composition, proximate composition, ultimate composition, and heating values, were adopted to determine the profiles of the crop straw composition characteristics. Correlation analysis and 7 different types of multivariate analysis were applied and compared. The results indicated that among the 18 characteristics, hemicellulose, water-soluble carbohydrates, crude proteins, phosphorus, fixed carbon, hydrogen, nitrogen, and sulfur had non-normal distributions. Spearman method was a more suitable correlation analysis approach for the crop straw characteristics than Pearson method. The results of the different multivariate analysis methods were reflected in the different classification attributes of water-soluble carbohydrates, phosphorus, hydrogen and sulfur. Non-parametric principal component analysis and non-parametric exploratory factor analysis provided consistent results. The characteristics could be divided into 4 categories of intrinsic associated attributes, namely, (1) lignin, volatile matter, fixed carbon, carbon, hydrogen, higher heating value, and lower heating value; (2) potassium, ash, and sulfur; (3) cellulose, hemicellulose, moisture, and oxygen; and (4) water-soluble carbohydrates, crude proteins, phosphorus, and nitrogen, which exhibited combustion positive, combustion negative, biochemical conversion, and nutritional property, respectively. The study results provide data and methodology support for the development of crop straw utilization strategies.
机译:作物秸秆的异质性和复杂的组成是其科学和高效的工业利用的主要障碍。为了彻底揭示和鉴定不同作物秸秆类型的组成及其潜在的属性,在本研究中,收集了784种稻米,小麦,玉米,油菜和棉花的秸秆样品。基于大的样品尺寸,采用18项组合物特性,包括化学成分,近似组成,最终组合物和加热值,以确定作物秸秆组合物特征的谱。相关分析和7种不同类型的多变量分析并进行比较。结果表明,在18个特征,半纤维素,水溶性碳水化合物,粗蛋白质,磷,固定碳,氢,氮和硫具有非正常分布中。 SPEARMAN方法是对Pearson方法的作物秸秆特性的更合适的相关性分析方法。不同多变量分析方法的结果反映在水溶性碳水化合物,磷,氢气和硫的不同分类属性中。非参数主成分分析和非参数探索因子分析提供了一致的结果。该特征可分为4类内在相关属性,即(1)木质素,挥发物质,固定碳,碳,氢,更高的加热值和更低的加热值; (2)钾,灰和硫; (3)纤维素,半纤维素,水分和氧气; (4)水溶性碳水化合物,粗蛋白,磷和氮,分别表现出燃烧阳性,燃烧阴性,生化转化和营养性质。研究结果为农业秸秆利用策略的发展提供了数据和方法支持。

著录项

  • 来源
    《Waste Management》 |2020年第6期|87-97|共11页
  • 作者单位

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

    Engineering Laboratory for Agro-biomass Recycling & Valorizing College of Engineering China Agricultural University Beijing 100083 China;

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

    Crop straw; Composition characteristics; Correlation analysis; Multivariate analysis; Non-parametric; Principal component analysis and exploratory factor analysis;

    机译:田间稻草;构成特征;相关性分析;多变量分析;非参数;主成分分析和探索性因子分析;

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