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首页> 外文期刊>Environmental Science & Technology >Relationship between The Adsorption Capacity of Pesticides by Wood Residues and The Properties of Woods and Pesticides
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Relationship between The Adsorption Capacity of Pesticides by Wood Residues and The Properties of Woods and Pesticides

机译：木材残留物对农药的吸附能力与木材和农药特性的关系

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With the aim to explore the potential use of wood residues in technologies aimed at preventing the pollution of soil and water, we studied the adsorption of four non-ionic pesticides (linuron, alachlor, metalaxyl, and chlorpyrifos) and two ionic pesticides (dicamba and paraquat) with a K_(ow) range of -4.5 to 4.7 by nine types of wood with lignin content in the 18.2-26.9% range. The Freundlich Kf values were considered as indicators of the adsorption capacity. A statistical study was carried out using simple and multiple correlations to establish the degree to which the different parameters of the woods and of the pesticides were involved in adsorption. In the case of the non-ionic pesticides, positive and negative significant correlations were observed between Kf and the lignin (r = 0.73-0.83, p < 0.05-0.01), and soluble C contents of the woods (r = 0.66-0.84), p < 0.1-0.01). For dicamba, a correlation between Kf and pH (r = -0.66, p < 0.1) of the woods was found, while for paraquat, this was seen between Kf and the cation exchange capacity (r = 0.71, p < 0.1) of the woods. No significant correlation was observed between Kf and the total C content of the woods. A highly significant correlation between Kf and K_(ow) values (r ≥ 0.93, p < 0.01) was found in the adsorption of the pesticides by the woods (with the exception of paraquat) showing that this parameter is very important in this adsorption process. The determination coefficient of the multiple correlation between Kf and the parameters K_(ow), soluble C, and lignin contents accounts for nearly 100% of the variability in adsorption for non-ionic pesticides. Based on the results of our study and of those of the literature related to the adsorption of aromatic hydrocarbons, we used the K_(ow) values to define a predictive model of adsorption of hydrophobic organic compounds in general by the woods.
机译：为了探索木材残留物在旨在防止土壤和水污染的技术中的潜在用途，我们研究了四种非离子农药（亚麻嘧啶，甲草胺，甲霜灵和毒死rif）和两种离子农药（麦草畏和九种木质素含量在18.2-26.9％范围内的木材，其K_（ow）范围为-4.5至4.7。 Freundlich Kf值被认为是吸附能力的指标。使用简单的和多重的相关性进行统计研究，以确定木材和农药的不同参数参与吸附的程度。在非离子农药的情况下，Kf和木质素之间的正相关和负相关（r = 0.73-0.83，p <0.05-0.01）和木材中的可溶性C含量（r = 0.66-0.84） ，p ＜0.1-0.01）。对于麦草畏，发现了Kf与木材的pH（r = -0.66，p <0.1）之间的相关性，而对于百草枯，则发现了Kf与森林的阳离子交换容量（r = 0.71，p <0.1）之间的相关性。树木。观察到Kf与木材中总C含量之间没有显着相关性。在森林（除百草枯外）对农药的吸附中，发现Kf和K_（ow）值之间的高度相关性（r≥0.93，p <0.01）表明该参数在该吸附过程中非常重要。 Kf和参数K_（ow），可溶性C和木质素含量之间的多重相关性的确定系数几乎占非离子农药吸附变化的100％。根据我们的研究结果以及与芳香烃吸附有关的文献的结果，我们使用K_（ow）值定义了一般情况下森林对疏水性有机化合物吸附的预测模型。

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