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基于扩散模型的辽宁中部城市群PM_(2.5)传输规律研究

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摘要 研究采用扩散模型法,基于气象模型WRF耦合空气质量模型Models-3/CMAQ,对2019年辽宁中部城市群PM_(2.5)污染特征进行模拟分析,通过目标情景设计,获取辽宁中部城市群7个城市间大气污染物传输特征并建立传输矩阵。研究发现:辽宁中部城市群中的PM_(2.5)浓度本地源贡献率最高的是本溪(72.2%),其次为沈阳(63.2%),其他城市本地源贡献率在48.9%~62.1%之间。本溪为对外输送型城市,其排放的PM_(2.5)主要影响辽阳(7.8%)和抚顺(7.1%);铁岭与抚顺之间为单向输送,铁岭向抚顺输送的PM_(2.5)占到抚顺贡献率的9.0%,反之仅为2.3%;鞍山与辽阳PM_(2.5)为双向输送,二者之间的影响分别为7.1%与8.3%。受海洋气候影响,营口本地源贡献率为48.9%,且对其他城市的影响仅在0.2%~2.4%之间。 The diffusion model method was used to simulate and analyze the PM_(2.5) pollution characteristics of the central urban agglomeration of Liaoning Province in 2019 based on the meteorological model WRF coupled with the air quality Model Models-3/CMAQ.The transmission characteristics of air pollutants among seven cities in the central urban agglomeration of Liaoning Province were obtained through the target scenario design and the transmission matrix was established.The results show that:the contribution rate of local sources in central urban agglomeration of Liaoning Province is the highest in Benxi(72.2%),followed by Shenyang(63.2%),and the contribution rate of local sources in other cities ranges from 48.9%to 62.1%.Benxi is an external transport city,and the pollutants emitted mainly affect Liaoyang(7.8%)and Fushun(7.1%);transmission chain between Tieling and Fushun is one-way,and PM_(2.5) transmitted from Tieling to Fushun accounts for 9.0%of Fushun's contribution rate,while only 2.3%vice versa;the PM_(2.5) transmission in Anshan and Liaoyang is bidirectional,and the influence between them is 7.1%and 8.3%,respectively.Under the influence of Marine climate,the contribution rate of Yingkou local sources is 48.9%,and the impact on other cities ranges from 0.2%to 2.4%.
出处 《环境保护与循环经济》 2023年第5期69-72,共4页 environmental protection and circular economy
基金 国家重点研发计划(2017YFC0212500) 辽宁省自然科学基金(2022-MS-101) 辽宁省生态环境厅委托项目“‘双碳’背景下北方寒冷地区控煤降污效果预测评估”。
关键词 CMAQ PM_(2.5) 辽宁中部城市群 区域传输 CMAQ PM_(2.5) central urban agglomeration of Liaoning Province regional transmission
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