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基于EIAProA 2018模拟巴陵石化废气排放规律

Simulation of Baling Petrochemical Exhausts Emission Law Based on EIAProA 2018

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【作者】 黄鹏王强李欣媛魏文静高雨沛徐海

【Author】 Huang Peng;Wang Qiang;Li Xinyuan;Wei Wenjing;Gao Yupei;Xu Hai;College of Chemistry and Chemical Engineering, Central South University;

【通讯作者】 王强;

【机构】 中南大学化学化工学院

【摘要】 化工企业排放的废气得到了越来越多的关注,施工前预先进行大气预测和环境风险评估有助于企业更好发展。有机污染物废气对环境的影响很大,根据研究对象巴陵石化的污染情况,本文选用苯和环己烷作为该研究的污染因。本文主要利用EIAProA软件中的AERMOD模型,分别建立不同污染源和不同地形条件下的预测方案,得到预测结果,数据通过MATLAB处理后,得到巴陵石化排放的废气污染物浓度随着距离变化趋势和规律,从而判断其对周边环境的影响。结果表明,EIAProA能够有效地探究废气排放规律,无组织源排放浓度较大,高架源和平坦地形组合条件下污染物落地浓度最大,扩散距离最远,对环境影响也最大。

【Abstract】 The exhausts discharged by chemical enterprises has received more and more attention. The atmospheric prediction and environmental risk assessment before construction are helpful for the better development of enterprises. Organic pollutant emissions have a great impact on the environment, and according to the contamination of Barling Petrochemical Company, benzene and cyclohexane were chosen as the pollution factors for this study. This article mainly uses the AERMOD model in EIAProA software to establish prediction schemes under different pollution sources and different terrain conditions respectively, to obtain prediction results. After processing by MATLAB, the trend and law of the concentration of exhaust gas pollutants discharged by Baling Petrochemical Company along with the distance can be obtained, so as to judge its impact on the surrounding environment. The results show that the EIAProA can effectively explore the law of exhausts emission, the concentration of unorganized source is relatively high, and the conditions of elevated source and flat terrain has the largest pollutant landing concentration, the farthest diffusion distance and the greatest environmental impact.

【基金】 国家重点研发计划项目(No.2018YFC1800400)
  • 【文献出处】 广东化工 ,Guangdong Chemical Industry , 编辑部邮箱 ,2022年01期
  • 【分类号】X74
  • 【下载频次】103
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