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首页> 外文期刊>Journal of Stored Products Research >Developing and verifying a fumigant loss model for bulk stored grain to predict phosphine concentrations by taking into account fumigant leakage and sorption
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Developing and verifying a fumigant loss model for bulk stored grain to predict phosphine concentrations by taking into account fumigant leakage and sorption

机译:通过考虑熏蒸的渗漏和吸附来开发和验证散装储存粒的蒸馏剂损失模型,以预测膦浓度

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摘要

To ensure fumigation effectiveness and address phosphine resistance concerns, fumigant concentrations and movement in a grain storage silo need to be understood. A mathematically accurate fumigation model was developed that is capable of predicting fumigant concentration and movement throughout a grain storage silo that takes into account fumigant loss from leakage and sorption, and was verified with experimental fumigation data. Equations estimating fumigant leakage and sorption were developed based on literature values and added to an existing finite element model. Fumigation data was used from a fumigation conducted on an Australian made silo filled with 45.5 tonnes of maize in Manhattan, Kansas. Two verifications were conducted based on phosphine concentration release times of 24 h and 30 h, with both verifications demonstrating accurate prediction of phosphine fumigant values and trends. The two verifications resulted in concentration-time products that were within 0.9% and 4.3% of the experimental values, respectively. The fumigation model is most accurate during the times of highest phosphine concentration. However, the model under predicted phosphine concentrations during the first 12 h of fumigation and over predicted phosphine concentrations beyond the first six days of fumigation. This fumigation model was found to be sufficiently accurate to allow for future experimentation on predicting fumigant concentrations as a function of environmental conditions and operational variable. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了确保熏蒸效率和地址磷酸泥抗性问题,需要理解谷粒储存筒仓中的熏蒸浓度和运动。开发了一种数学上精确的熏蒸模型,其能够预测整个谷物储存筒仓的熏蒸剂浓度和运动,以考虑漏气和吸附的熏蒸损失,并用实验熏蒸数据验证。估计熏蒸剂泄漏和吸附的方程是基于文献值开发的,并添加到现有的有限元模型中。熏蒸数据是从澳大利亚制造筒仓的熏蒸中使用,堪萨斯州曼哈顿的45.5吨玉米。基于磷酸浓度释放时间为24小时和30小时进行两次验证,验证都证明了精确预测膦熏蒸剂值和趋势。两种验证结果分别在实验值的0.9%和4.3%以内的浓度 - 时间产品。熏蒸模型在最高磷光浓度的时间内最准确。然而,在熏蒸的前12小时内的预测磷酸浓度下的模型和超出熏蒸的前六天的预测磷酸浓度。发现该熏蒸模型足以准确,以允许未来的预测熏蒸浓度作为环境条件和操作变量的函数的实验。 (c)2018年elestvier有限公司保留所有权利。

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