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有色烟羽分析及可凝结颗粒物管控技术综述

Analysis of Colored Smoke Plumes and Introduction of a Condensable Particulate Matter Control Technology

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【作者】 高境赵传峰刘宇李雪晁榕珠

【Author】 GAO Jing;ZHAO Chuanfeng;LIU Yu;LI Xue;CHAO Rongzhu;Environmental Technology & Engineering Co., Ltd.,Chinese Research Academy of Environmental Sciences;Renboqi (Beijing) Technology Co., Ltd.;State Key Laboratory of Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University;Chinese Research Academy of Environmental Sciences;Beijing Eco-environment Bureau;China University of Petroleum,Beijing;

【机构】 中国环境科学研究院环境技术工程有限公司仁博奇(北京)科技有限公司北京师范大学地表过程与资源生态国家重点实验室全球变化与地球系统科学研究院中国环境科学研究院北京市生态环境局中国石油大学(北京)

【摘要】 通过对有色烟羽相关概念的探讨,揭示白烟与蓝烟主要组分间的差异,并重点分析蓝烟的主要组分可凝结颗粒物的特性。基于凝结核活化、增长和碰并沉降的自然机理,提出一种新的可凝结颗粒物去除技术,即云除技术。热力锅炉和电厂的实验测试表明,该云除技术能够有效地去除锅炉排放中的可凝结颗粒物,平均去除率接近70%。该技术对于重金属具有协同去除效应,其中对于重金属汞的去除率可达50%左右。对有色烟羽概念的探讨有助于更为清晰明确地认识和理解可凝结颗粒物,云除技术为电厂、钢厂和热力锅炉等多个行业可凝结颗粒物的管控提供了新的治理手段。

【Abstract】 This study examines the differences of main components between white and blue plumes based on the discussions of colored plume from the view of its formation. It also analyzes in-depth the characteristics of condensable particulate matter, which is the major component of colored plume. Moreover, a new technology for CPM control is proposed based on the natural mechanisms for formation, development and dissipitation of clouds and fogs, which is called cloud-scavenging technology. Further evaluation studies show that the cloud-scavenging technique can efficiently control the CPM, with the average removal efficiency near 70%. The study shows that the cloud-scavenging technique can even remove the heavy metals simultaneously. For example, it can remove the mercury in the smog with an efficiency of around 50%. This study can help people better understand the directly emitted particulate matter, and the new cloud-scavenging technique developed here provides a new method for CPM control in various fields such as fire plants, steel pants, and heating boilers.

【基金】 北京市科技重大专项(D171100007917001);国家自然科学基金(41575143);地表过程与资源生态国家重点实验室室内项目(2017-ZY-02)
  • 【文献出处】 环境影响评价 ,Environmental Impact Assessment , 编辑部邮箱 ,2019年03期
  • 【分类号】X773
  • 【被引频次】10
  • 【下载频次】278
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