PM₂.5 And Its Precursor（VOCs） Emission Characteristic Of Daily Chemical And Chemical Fiber Industry

PM2.5 has become the primary pollutant affecting urban ambient air quality in China. Control of PM2.5 and its precursor VOCs is becoming one of the key tasks of environmental management in china. To understand and master the PM2.5 and VOCs emission characteristic is of great significance for air pollution control policy and dicision-making. The following aspects can be used as the breakthrough point for the cognition and analysis of PM2.5 and VOCs emission characteristic:what method should be used to analyze, in order to ensure that uses all of the data and the results is credible? How to screen and discriminate pollution control emphasis and how to express differences between the emphases? Whether there is relevance between PM2.5 and VOCs and other air pollutants (such as NOx, SO2, PM10, CO)? If yes, what is the internal relationship between them and whether this relationship can be quantified? If it can be quantified, what method should be used to quantify?In China, the air pollutants emission of daily chemical and chemical fiber industry (hereinafter referred to as the two industries) occupies a certain proportion in the national industrial pollution. VOCs emissions of the two industries occupied an important position in process with VOCs as raw material. So this two industries PM2.5 and VOCs emission characteristic can reflect the pollution control focus and provide an important basis for industrial pollution control in China.This study established a PM2.5 and VOCs emission characteristic analysis system of daily chemical and chemical fiber industry in China, establishing emission inventories of PM2.5 and VOCs in two industries in China and quantized dependency relationshedip from the two aspects of general emission characteristic and the dependency relationship between impact factors and PM2.5.The main research contents are as follows:(1) It constructed China’s two industries’ VOCs emission characteristic data set based on emission factor method and identified the key sources of emissions of VOCs from the province scale and sub industry scale using the sort method and unit area emission classification method.(2) It introduced the Salford Predictive Miner (SPM) data mining tool to overcome the two industries’ atmospheric pollutants emissions incomplete interference on the analysis results. The importance and sensitivity of relevant relationship between CO, NOx, SO2, VOCs and PM2.5 are revealed, which are emitted from daily chemical and chemical fiber industries.Associated with achievements of this dissertation, these main research conclusions achieved are as follows:(1) China’s two industries VOCs general emission characteristics results show as follows:Yangtze River Delta and Pearl River Delta are the VOCs emissions key regions of China’s daily chemical and chemical fiber industry, while Zhejiang and Jiangsu are the key regions of chemical fiber industry, Guangdong is the key region of daily chemical industry. For VOCs emissions of each sub-industry of the chemical fiber industry, the contribution rates of staple fiber (including acetate filament yarn and viscose fiber) is the highest. Contribution rate of synthetic fiber is acrylic, spandex, polypropylene, polyester (including staple and yarn) and nylon successively.(2) Two industries’PM2.5 and VOCs general emission characteristics results of Zhejiang province show as follows:polyester fiber manufacturing, other synthetic fiber manufacturing and acrylic fiber manufacturing contribute most to PM2.5 and VOCs emissions of chemical fiber industry; soaps and synthetic detergents manufacturing and flavors and fragrances manufacting contribute most to PM2.5 and VOCs emissions of daily chemical industry; Spatial characteristic for chemical fiber industry:contribution rates of PM2.5 and VOCs emissions are (from high to low) Hangzhou, Ningbo, Jiaxing; While Hangzhou, Jiaxing and Shaoxing contribute most to PM2.5 and VOCs emissions of chemical fiber industry.(3) The primary factors influencing two industries PM2.5 emissions of Zhejiang province are not VOCs. According to the importance of the key factors influencing PM2.5 emissions (from high to low), the chemical fiber industry:NOx, CO, SO2, PM10, VOCs, Smoke, Dust, NH3, while the daily chemical industry:CO、PM10、NOx、SO2、 VOCs、Dust、Smoke、NH3.The two industries all showed a trace of VOCs emissions can quickly raises the PM2.5 emission concentration.The following proposals are put forward:(1) Industry cluster effect has very little impact on PM2.5 emission of the two industries in Zhejiang Province. When we control PM2.5 emissions, enterprise emission behavior should be preferentially considered, followed by spatial distribution and the industrial structure.(2) When we control the gaseous pollutants emissions of chemical fiber industry in Zhejiang Province, emission amount of NOx, CO and SO2 should be controlled, while emission concentration of VOCs should be strictly controlled to very low; For the daily chemical industry in Zhejiang Province, the dependence sensitivity between CO, NOx, SO2, VOCs and PM2.5 is very high and minished in order. So these pollutants should be controlled according to the importance to PM2.5, which can realize collaborative control and synchronous emissions reduction.(3) If the basic data more complete, such as the atmospheric pollutants basic data of the two industry all over the country were provided and available, analysis of the effect will be better with more high precision based on the characteristics of big data can handle huge amounts of data. Therefore PM2.5 and VOCs should be incorporated into our monitoring and supervision system. We should strengthen daily chemical, chemical fiber and other industries’ PM2.5, VOCs online monitoring construction, refinement and differentiated management mode, set up PM2.5, VOCs emissions database for industry, to provide the scientific basis for air pollution control measures and policies formulated.