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Evaluation of a plant uptake model for BTEX by three plant species under accidental release scenarios

机译:意外释放情景下三种植物对BTEX的植物吸收模型的评估

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摘要

Benzene, toluene, ethylbenzene, and xylenes (BTEX) are widely used in the chemical industry, and they are often episodically released by chemical accidents or spills. When an accidental release occur, plants may uptake released chemicals via various routes. We evaluated a plant uptake model to predict time-course changes of the internal concentration of BTEX in plant leaf from air under accidental release scenarios. Three plant species, i.e., rice (Oryza sativa), Areca palm (Dypsis lutescens) and Hoya (Hoya carnosa), were chosen as model species to cover plants both in outdoor and indoor. The accidental release scenario assumes a large amount of gaseous BTEX release in 10 min. Partition coefficients for BTEX between test plant leaves and water (KPW) were measured in batch tests and subsequent plant-air partition coefficients (KPA) were obtained by multiplying KPW with the Henry's law constant. The performance of the uptake model was evaluated using small chamber tests. Gaseous concentration of BTEX agreed very well with predicted values under the accidental release scenarios. It was found that the overall uptake is dominated by the mass transfer resistance in plant leaf. The logarithm of mass transfer coefficient was proportional to log KPA for a given plant species. However, differences in mass transfer coefficients among plant species suggest that parameters describing plant physiology should be included to enhance the predictability of the generic uptake model.
机译:苯,甲苯,乙苯和二甲苯(BTEX)在化学工业中被广泛使用,它们经常因化学事故或溢出而流行地释放出来。当意外释放发生时,植物可能会通过各种途径吸收释放的化学物质。我们评估了植物吸收模型,以预测在意外释放情况下空气中植物叶片中BTEX内部浓度的时程变化。选择了三种植物物种,即水稻(Oryza sativa),棕榈槟榔(Dypsis lutescens)和霍亚树(Hoya carnosa)作为模型植物,以覆盖室内和室外的植物。意外释放场景假设在10分钟内释放了大量的气态BTEX。在分批测试中测量了被测植物叶片和水之间的BTEX分配系数(KPW),然后通过将KPW乘以亨利定律常数来获得随后的植物-空气分配系数(KPA)。使用小室测试评估摄取模型的性能。在意外释放情况下,BTEX的气体浓度与预测值非常吻合。发现总吸收主要受植物叶片中传质阻力的影响。对于给定的植物物种,传质系数的对数与log KPA成正比。然而,植物物种间传质系数的差异表明,应包括描述植物生理的参数,以增强通用吸收模型的可预测性。

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  • 来源
    《》|2019年|305-305|共1页
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  • 作者

    Choi S.-H; Kown J.-H;

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  • 关键词

    VOCs; exposure models;

    机译:挥发性有机化合物;曝光模型;

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