| 基于ADMS模型的工业园区VOCs排放源强反演 |
| 摘要点击 857 全文点击 131 投稿时间：2024-01-05 修订日期：2024-05-10 |
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| 中文关键词 源强反演 ADMS模型 挥发性有机物（VOCs） 走航观测 工业园区 |
| 英文关键词 emission retrieval ADMS model volatile organic compounds （VOCs） mobile monitoring industrial park |
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| 中文摘要 |
| 为在工业园区尺度上对企业VOCs排放源强进行定量估计,建立了以小尺度空气质量模式（ADMS）和走航观测数据为基础的VOCs溯源方法.首先通过逐小时气象数据确定走航路线上风向的企业,利用ADMS叠加计算企业排放对走航观测点浓度的影响,将模拟值与观测值进行比较,以此为基础确定不同企业的VOCs排放源强.进一步基于7月28日至8月10日沈阳市经开区的走航观测数据开展了反演试验,得到了逐小时排放前10位的企业源强.其中,7月28日10：00~11：00与7月29日10：00~11：00这两个时段企业排放较高,以家具制造相关企业为主,并有3家企业的VOCs排放超过100 g·s-1.基于观测数据对模型溯源结果进行了验证,验证结果表明模拟值与观测值呈现出较好的相关性.研究所建立的溯源方法为工业园区VOCs排放源强量化提供了新的思路,可为工业园区大气污染排放的精准管控提供一定的科学依据. |
| 英文摘要 |
| To estimate the emission strength of volatile organic compounds （VOCs） from enterprises at an industrial park scale, this study established a VOC source estimation method based on small-scale air quality modeling （ADMS） and mobile monitoring data. First, hourly meteorological data was used to identify the enterprises along the vehicle path based on wind direction. The impact of enterprise emissions on the concentration at the mobile monitoring points was calculated using ADMS. Simulation results were compared with observed values to quantify the VOC source strengths of different enterprises. Further inversion experiments were conducted based on mobile monitoring data from Shenyang Economic Development Zone from July 28th to August 10th, resulting in the hourly emission strengths of the top ten enterprises. In this study, two time periods, from 10：00 to 11：00 on July 28th and from 10：00 to 11：00 on July 29th, exhibited higher emissions from enterprises, primarily from those related to furniture manufacturing. Additionally, emissions from VOCs exceeded 100 g·s-1 in three of the enterprises. Validation of the model tracing results was conducted based on observational data and the results indicated a good correlation between simulated and observed values. The source apportionment method established in this study provides a novel approach for quantifying emission strength of VOCs in industrial parks, offering a scientific basis for precise control of atmospheric pollution emissions in industrial park areas. |
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