| 引用本文: | 罗阳,刘元海,郑彤,王鹏.重污染天气下大气污染排放源强的快速估算方法[J].哈尔滨工业大学学报,2018,50(8):76.DOI:10.11918/j.issn.0367-6234.201705061 |
| LUO Yang,LIU Yuanhai,ZHENG Tong,WANG Peng.Method of rapid estimation of emission intensity of air pollution in heavily polluted weather[J].Journal of Harbin Institute of Technology,2018,50(8):76.DOI:10.11918/j.issn.0367-6234.201705061 |
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| 摘要: |
| 针对以往大气污染排放源强估算时多采用排放因子法计算大气排放源强，存在着受排放源类别不全、排放清单的不确定性、人力物力财力因素制约，以及企业上报数据不准确，存在偷排多排的情况等问题，利用重污染天气城市各区域空气质量数据，采用泰森多边形确定区域特征长度、大气箱式模型估参的方法，快速确定各污染物的排放源强，建立较为简便的大气污染排放源强估算模式.对哈尔滨市采暖期的大气污染源强估算结果表明：NOx、SO2、CO总的估算排放源强为436.33，154.82和8 566.82 t/d.对源强估算算法进行精确度检验，其相对中值误差小于30%，适合作为区域大气污染物排放模拟与预测的模型理论基础.
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| 关键词: 重污染天气 泰森多边形 源强估算模式 采暖期 相对中值误差 |
| DOI：10.11918/j.issn.0367-6234.201705061 |
| 分类号:X321 |
| 文献标识码:A |
| 基金项目:黑龙江省自然科学基金(B2016005) |
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| Method of rapid estimation of emission intensity of air pollution in heavily polluted weather |
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LUO Yang1,LIU Yuanhai2,ZHENG Tong1,WANG Peng1
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（1.School of Environment, Harbin Institute of Technology, Harbin 150090,China;2.Heilongjiang Environmental Monitoring Center Station,Harbin 150056,China）
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| Abstract: |
| The emission factor method is often used to estimate the atmospheric pollution intensity in the past, in which exists a few defects such as the lack of emission source category, the complex computing and the suspicious atmospheric emission data sources on account of social enterprises' stealing pollutant emission. This study established the simple and rapid-computing atmospheric pollution emission intensity estimation model by using all urban areas' air quality data under high levels of pollution weather. Tyson polygon is adopted to define the regional characteristic length and air box model estimation method is used to determine the source of emissions of pollutants at a high rate of computing speed in this study. Simulation results indicated that the estimated emission intensity of NOx, SO2 and CO in the study area is 436.33, 154.82 and 8 566.82 t/d. According to the model accuracy test, the relative error of intermediate value is below 30% which indicates that the atmospheric emission intensity Algorithm can be used in simulation and prediction of regional atmospheric pollutants emission.
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| Key words: high levels of pollution weather Thiessen polygons pollution emission intensity estimation model heating period relative error of intermediate value |
