城市大气颗粒物的空间分布研究2

Spatial distribution of particulate matter in the urban atmosphere

来源:中文会议(科协)
中文摘要英文摘要

本论文的研究目的是为今后相关科研提供基础数据,为大气环境污染控制的管理决策提供参考依据,为本地区大气环境污染控制方向及方法的选择提供一定的数据支持,同时在一定程度上了解目前广州市PM2.5、PM10等中等颗粒物相应的污染水平和污染特点。以珠江新城周边地点为研究对象,运用实地调研检测、数据分析的研究方法对珠江新城及周边其他 10个监测点的空气中大气颗粒物浓度进行测定分析,了解测试区域在不同时段的空气质量以及污染状况。(1)研究发现,相比于广东东站与小北等地区,在靠近市中心的珠江新城中心区域的大气环境质量更好,PM2.5、PM1.0和PM10的浓度在全天中主要时段及污染程度最大的时段均较低。(2)通过对 11个监测点的分析与研究发现广东东站、岗顶、潭村、客村和区庄这 5个测试点的测试时段的空气质量较差,PM2.5、PM1.0和PM10的浓度均较高。(3)在这 11个测试点中,小北、大塘和科韵路等测试点测试场地较为空旷,人流量及车流量较少,区域绿化较为丰富,建筑工地和商业街区也较少,因此在测试时段中空气质量较为良好,PM2.5、PM1.0和PM10的浓度较低。(4)从测试地点的环境以及所测得的数据可以得出,正午时段的各大气颗粒物浓度高于当天内其他时间段的浓度。大气环境中的各大气颗粒物浓度受到了气候温度、湿度和风速的影响,同时测试环境内车流量、人流量、建筑群落等污染源都会对其产生影响。笔者建议,对燃油车采取限行等措施,提倡大力发展新能源汽车;优化产业结构,淘汰落后产业,减少电力,钢铁建材,石化、煤油等产业对空气质量的影响和破坏;相关部门提高大气排放标准,同时制定合适的市民反馈机制,与市民一同监督社会各行各业;加快PM2.5等大气颗粒物的监测体系,加大检测网布控密度,定时反馈PM2.5等大气颗粒物含量状况,搭建便捷的空气质量信息反馈平台;最后,在城市建设和园林配置中可以增加一些综合净化能力较强的植物,如扁桃及小叶榕等。

The research purpose of this paper is to provide basic data for future related scientific research,provide reference for the management decision of atmospheric environmental pollution control,provide certain data support for the selection of atmospheric environmental pollution control direction and method in the region,and understand the corresponding pollution level and pollution characteristics of moderate particulate matter such as PM2.5 and PM10 in Guangzhou to a certain extent.Taking the locations around Zhujiang New Town as the research object,the research methods of field investigation and detection and data analysis were used to measure and analyze the concentration of atmospheric particulate matter in the air in Zhujiang New Town and other 10 monitoring points around it,and understand the air quality and pollution status in the test area at different times.(1)The study found that compared with Guangdong East Railway Station and Xiaobei and other areas,the atmospheric environment quality in the central area of Zhujiang New Town near the city center was better,and the concentrations of PM2.5,PM1.0 and PM10 were lower in the main hours of the day and the most polluted periods.(2)Through the analysis and analysis of 11 monitoring points,it was found that the air quality of the five test points of Guangdong East Railway Station,Gangding,Tancun,Kecun and Ouzhuang was poor,and the concentrations of PM2.5,PM1.0 and PM10 were higher.(3)Among the 11 test points,the test sites of Xiaobei,Datang and Keyun Road are relatively empty,with less people and vehicles,richer regional greening,and fewer construction sites and commercial blocks,so the air quality is better during the test period,and the concentrations of PM2.5,PM1.0 and PM10 are lower.(4)From the environment of the test site and the measured data,it can be concluded that the concentration of atmospheric particulate matter at noon is higher than the concentration in other time periods during the day.The concentration of particulate matter in the atmosphere is affected by climate temperature,humidity and wind speed,and pollution sources such as traffic flow,people flow,and building communities in the test environment will affect it.The author suggests that measures such as restrictions on fuel vehicles be adopted to advocate the vigorous development of new energy vehicles;Optimize the industrial structure,eliminate backward industries,and reduce the impact and damage of electric power,steel building materials,petrochemical,kerosene and other industries on air quality;Relevant departments raise air emission standards,and at the same time formulate appropriate feedback mechanisms for citizens to supervise all walks of life with citizens;Accelerate the monitoring system of PM2.5 and other atmospheric particulate matter,increase the density of detection network deployment and control,regularly feedback the content of PM2.5 and other atmospheric particulate matter,and build a convenient air quality information feedback platform;finally,some plants with strong comprehensive purification ability can be added to urban construction and garden configuration,such as almonds and Ficus microphylla.

郑晓明;王沉;张宏博;魏龙;巩怡文;王靖娴;聂斯思;郭镜赟;殷祚云;

仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;广东省林业科学研究院/广东省森林培育与保护利用重点实验室/广东沿海防护林生态系统国家定位观测研究站,广东 广州 510520);仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;仲恺农业工程学院,广东 广州 510225;

第八届中国林业学术大会

广州市 PM2.5 PM1.0 PM10 距离 城市建设 环境污染

guangzhou city PM2.5 PM1.0 PM10 distance urban construction air pollution

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