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粤港澳大湾区某经济技术开发区大气环境污染源快速识别系统应用
引用本文:刘成坚,付名利,黄道建,覃豪,余宇帆.粤港澳大湾区某经济技术开发区大气环境污染源快速识别系统应用[J].环境工程,2022,40(7):172-178.
作者姓名:刘成坚  付名利  黄道建  覃豪  余宇帆
作者单位:1. 广州开发区环境监测站, 广州 510530;
基金项目:广州开发区财政投资重大专项(20142730003100001)
摘    要:为解决粤港澳大湾区某经济开发区企业废气扰民、厂居邻避问题,对开发区工业区内常被投诉重点污染企业进行普查和排放测试,开展了大气环境污染源快速识别系统的应用研究。采用SPIMS (在线挥发性有机物质谱)对企业进行VOCs排放特征测试并建立指纹数据库,通过敏感点离线采样、走航监测等手段,建立匹配特征数据谱图,结合污染特征相关性分析,构建了对应污染源排放特征(指纹)数据库及污染源快速识别模型。确定了工业园区6家存在潜在污染扩散的重点企业,包括2家塑料制品企业、1家香料制造企业、3家电子产品制造企业。经工业园区污染源企业现场监测以及居民敏感小区环境空气样品组分分析,判断其中2家电子产品制造企业和1家塑料制品企业污染源排放特征臭气污染物传输到敏感小区,以甲烷、正丁烷、异戊烷、丙酮、丁酮、乙酸乙酯、间、对二甲苯等物质为主,为精准控污提供了实质性证据,为该区工业源的日常管控和污染投诉快速响应提供参考。

关 键 词:指纹源谱数据库    VOCs    走航监测    环境邻避问题
收稿时间:2021-09-02

APPLICATION OF A RAPID IDENTIFICATION SYSTEM OF ATMOSPHERIC ENVIRONMENTAL POLLUTION SOURCES IN AN ECONOMIC AND TECHNOLOGICAL DEVELOPMENT ZONE IN THE GUANGDONG-HONG KONG-MACAO GREATER BAY AREA
Affiliation:1. Environmental Monitoring Station of Guangzhou Development Zone, Guangzhou 510530, China;2. School of Environment and Energy, South China University of Technology, Guangzhou 510655, China;3. South China Institute of Environmental Sciences, Ministry of Ecological Environment, Guangzhou 510655, China;4. Guangzhou Hexin Instrument Co., Ltd, Guangzhou 510530, China;5. Guangdong Polytechnic of Environmental Protection Engineering, Foshan 528216, China
Abstract:This study established a method to identify the source of ambient VOCs in residential areas to address the environmental NIMBY problem in an economic development zone in the Guangdong-Hong Kong-Macao Greater Bay Area.We carried out general survey and emission test on key polluting enterprises frequently complained in the industrial zone,and created a database of pollution source emission characteristics (fingerprints) and used pollution characteristics correlation analysis to track back the likely sources.A case study based on a field census and VOC emission on source-receptor sites was conducted to validate the method.We employed SPIMS (online VOC mass spectrometer) to obtain the speciate characteristics of VOC emissions from local industrial sources and VOCs fingerprint database.Through off-line sampling of sensitive points and navigation monitoring,the matching characteristic data spectrum was established.Combined with the correlation analysis of pollution characteristics,the corresponding pollution source emission characteristic (fingerprint) database and the rapid identification model of pollution sources were constructed.Six important enterprises with high potential VOC emissions were identified in the case study,including two plastic product enterprises,one spice manufacturing enterprise,and three electronic product manufacturing enterprises.By comparing on-site observed VOC species detected inside the enterprises to VOCs species from ambient air samples in residential areas,the key enterprises that had an impact on the residential area were identified as mainly methane,n-butane,isopentane,acetone,butanone,ethyl acetate,m-and p-xylene.The case study showed that the strategy could provide solid scientific and technological support for daily industrial source control and fast response to pollution concerns.
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