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YANG Zhi-hua, ZHANG Rui, LIU Qiong-yu, TAO Yuan, JIANG Jun-ting, TAN Jing, CHENG Jin-jun, YE Xun. ESTABLISHMENT AND CHARACTERISTIC ANALYSIS ON FINE PARTICULATE MATTER SOURCE PROFILE OF OPEN-SOURCES IN WUHAN[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 80-88. doi: 10.13205/j.hjgc.202105011
Citation: YANG Zhi-hua, ZHANG Rui, LIU Qiong-yu, TAO Yuan, JIANG Jun-ting, TAN Jing, CHENG Jin-jun, YE Xun. ESTABLISHMENT AND CHARACTERISTIC ANALYSIS ON FINE PARTICULATE MATTER SOURCE PROFILE OF OPEN-SOURCES IN WUHAN[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(5): 80-88. doi: 10.13205/j.hjgc.202105011

ESTABLISHMENT AND CHARACTERISTIC ANALYSIS ON FINE PARTICULATE MATTER SOURCE PROFILE OF OPEN-SOURCES IN WUHAN

doi: 10.13205/j.hjgc.202105011
  • Received Date: 2020-04-20
    Available Online: 2022-01-17
  • Fine particulate matter (PM2.5) samples from four kinds of open-sources (soil dust, construction dust, road dust and yard dust) in Wuhan were obtained by re-suspension sampling method, then the content of inorganic elements, water-soluble ions and carbon fractions of samples were analyzed. On this basis, the source profiles of PM2.5 for four kinds of open-sources in Wuhan were established. The results showed that crustal elements were the primary components in PM2.5 source profiles of open-sources and accounted for 62.69%~80.14% of the total chemical compositions, which was obviously a natural background feature. The results revealed that Si and Al were the relatively high constituents in soil dust, and the contents of Ca and OC in PM2.5 of construction dust were significantly higher than other three kinds of sources. Ca, Si and OC were the main composition in PM2.5 of road dust, and the main composition in PM2.5 of yard dust were Si and Ca. Ca, Cu and Zn were strongly enriched in construction dust, road dust and yard dust, respectively, and each of the enrichment facts(EF) was all greater than 20, which suggested that the influence of man-made sources was significant. OC was the dominating part of carbon fractions of source profiles, and all the values of OC/EC were greater than 2, indicating that open-sources had a certain influence on the formation of secondary aerosols. The divergence coefficient among four kinds of source profiles was between 0.29 and 0.47, and the correlation coefficient was between 0.19 and 0.97. The similarity between soil dust and the other three kinds of source profiles was not high. Relatively high similarity were observed among yard dust, construction dust and road dust, and these three kinds of sources had extremely strong collinearity. The establishment of refined PM2.5 source profiles of open-source in Wuhan could provide scientific support for PM2.5 source apportionment, and also provide important references for the prevention and control of open-sources in Wuhan.
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 6.8 %其他: 6.8 %其他: 0.1 %其他: 0.1 %Central District: 0.1 %Central District: 0.1 %China: 0.3 %China: 0.3 %[]: 0.1 %[]: 0.1 %上海: 3.5 %上海: 3.5 %东莞: 1.3 %东莞: 1.3 %临汾: 0.1 %临汾: 0.1 %丽水: 0.4 %丽水: 0.4 %佛山: 0.1 %佛山: 0.1 %保定: 0.1 %保定: 0.1 %兰州: 0.3 %兰州: 0.3 %北京: 5.9 %北京: 5.9 %十堰: 1.0 %十堰: 1.0 %南京: 2.9 %南京: 2.9 %南宁: 1.5 %南宁: 1.5 %南通: 0.4 %南通: 0.4 %厦门: 0.4 %厦门: 0.4 %台州: 0.1 %台州: 0.1 %合肥: 1.4 %合肥: 1.4 %哈尔滨: 0.4 %哈尔滨: 0.4 %嘉兴: 0.4 %嘉兴: 0.4 %天津: 2.8 %天津: 2.8 %安庆: 0.1 %安庆: 0.1 %宜宾: 0.1 %宜宾: 0.1 %宣城: 1.3 %宣城: 1.3 %崇左: 0.1 %崇左: 0.1 %常州: 0.9 %常州: 0.9 %常德: 0.1 %常德: 0.1 %广州: 1.1 %广州: 1.1 %弗吉: 0.4 %弗吉: 0.4 %张家口: 1.4 %张家口: 1.4 %徐州: 0.1 %徐州: 0.1 %成都: 1.3 %成都: 1.3 %扬州: 1.8 %扬州: 1.8 %无锡: 0.5 %无锡: 0.5 %昆明: 0.4 %昆明: 0.4 %晋城: 0.3 %晋城: 0.3 %朝阳: 0.3 %朝阳: 0.3 %杭州: 4.3 %杭州: 4.3 %株洲: 0.5 %株洲: 0.5 %桂林: 0.1 %桂林: 0.1 %武汉: 1.3 %武汉: 1.3 %汕头: 0.1 %汕头: 0.1 %江门: 0.8 %江门: 0.8 %池州: 0.1 %池州: 0.1 %沈阳: 0.3 %沈阳: 0.3 %济南: 0.6 %济南: 0.6 %济宁: 0.4 %济宁: 0.4 %济源: 0.1 %济源: 0.1 %深圳: 1.1 %深圳: 1.1 %温州: 0.8 %温州: 0.8 %湖州: 0.4 %湖州: 0.4 %漯河: 6.6 %漯河: 6.6 %潍坊: 0.4 %潍坊: 0.4 %百色: 0.1 %百色: 0.1 %盐城: 1.1 %盐城: 1.1 %眉山: 0.1 %眉山: 0.1 %石家庄: 0.9 %石家庄: 0.9 %福州: 0.6 %福州: 0.6 %绍兴: 0.1 %绍兴: 0.1 %肇庆: 0.3 %肇庆: 0.3 %芒廷维尤: 17.7 %芒廷维尤: 17.7 %芝加哥: 0.4 %芝加哥: 0.4 %苏州: 1.0 %苏州: 1.0 %莆田: 0.1 %莆田: 0.1 %菏泽: 0.1 %菏泽: 0.1 %蚌埠: 0.1 %蚌埠: 0.1 %衡阳: 0.1 %衡阳: 0.1 %西宁: 8.7 %西宁: 8.7 %西安: 0.5 %西安: 0.5 %西雅图: 0.1 %西雅图: 0.1 %贵阳: 0.1 %贵阳: 0.1 %运城: 0.9 %运城: 0.9 %遵义: 0.1 %遵义: 0.1 %邯郸: 0.4 %邯郸: 0.4 %郑州: 1.5 %郑州: 1.5 %重庆: 0.3 %重庆: 0.3 %镇江: 2.4 %镇江: 2.4 %长沙: 1.5 %长沙: 1.5 %阜阳: 0.1 %阜阳: 0.1 %青岛: 1.9 %青岛: 1.9 %其他其他Central DistrictChina[]上海东莞临汾丽水佛山保定兰州北京十堰南京南宁南通厦门台州合肥哈尔滨嘉兴天津安庆宜宾宣城崇左常州常德广州弗吉张家口徐州成都扬州无锡昆明晋城朝阳杭州株洲桂林武汉汕头江门池州沈阳济南济宁济源深圳温州湖州漯河潍坊百色盐城眉山石家庄福州绍兴肇庆芒廷维尤芝加哥苏州莆田菏泽蚌埠衡阳西宁西安西雅图贵阳运城遵义邯郸郑州重庆镇江长沙阜阳青岛

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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