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首页> 外文期刊>Biofuels, bioproducts & biorefining: Biofpr >Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)
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Quantification based on dimensionless dendrometry and drying of residual biomass from the pruning of orange trees in Bolivar province (Ecuador)

机译:基于无量纲的树突和玻利瓦尔省橙树修剪的残留生物质干燥的定量(厄瓜多尔)

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摘要

In this work, a new approach to evaluating the amount of residual biomass obtained from orange trees based on normalization of variables is proposed for Bolivar province, Ecuador. So far, several models to quantify the amount of residues obtained from pruning have been proposed from dendrometric and cultivation variables, such as height, crown diameter, stem diameter, area per plant, yield, and age. However, the high dispersion of their values, caused by uncontrolled conditions, gave models with a low-medium coefficient of determination. The aim of this work has been to develop several models in order to predict wet available biomass using dimensionless dendrometric parameters from height, diameter and height of the crown, and the stem height. They improved the coefficients of determination to 0.94 for the global mathematical model. The drying process of pruned materials has also been analyzed. Residual biomass with 50% initial moisture content was dried outdoors on cement and agricultural soil until it reached constant moisture content. Models used to describe the drying process of agricultural products were employed to fit the observed data of the drying process of orange tree chips. Among the tested models, the Midili and Page models were those that best fitted the observed data in the drying process. The information offered by these equations is of vital importance because they help estimate the amount of biomass that is generated in a given area, and the implementation geographic information system (GIS) maps. In addition, logistic algorithms can be applied. (c) 2016 Society of Chemical Industry and John Wiley & Sons, Ltd
机译:在这项工作中,为厄瓜沃省的玻利亚尔省提出了一种评估从橙树中获得的残留生物质量的新方法。到目前为止,已经从树枝状和培养变量提出了几种模型,以量化从修剪中获得的残留量,例如高度,冠直径,茎直径,每株植物,产量和年龄。然而,由不受控制的条件引起的它们的值的高分散,使模型具有低介质的测定系数。这项工作的目的是开发多种型号,以便使用从冠的高度,直径和高度和杆高度使用无量纲的行落参数来预测湿的生物量。它们改善了全球数学模型的0.94系数。还分析了修剪材料的干燥过程。在水泥和农业土壤上户外干燥50%初始水分含量的残留生物质,直至其达到恒定的水分含量。用于描述农产品干燥过程的模型,以适应观察到的橙树芯片的干燥过程数据。在测试的模型中,MIDILI和页面模型是最能在干燥过程中拟合观察到的数据的模型。这些方程提供的信息至关重要,因为它们有助于估计在给定区域中生成的生物量,以及实现地理信息系统(GIS)地图。此外,可以应用逻辑算法。 (c)2016化学工业协会和约翰瓦里和儿子有限公司

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