Impacts of Rice Straw Open Burning on the Ambient Aerosol Concentrations and Chemical Compositions

• Main Authors: Shih-ChiehWei, 魏仕杰
• Other Authors: Yee-Lin Wu
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/34061360822302581481

碩士 === 國立成功大學 === 環境工程學系碩博士班 === 98 === Intensive samplings were performed on the top floor of Juo Chiun Building, National Cheng Kung University, Tainan from December 2008 to February 2009. PM10 and PM2.5, with duration time of 12 hours, were both measured at 8 a.m. and 8 p.m. LST. The objectives of this study are to observe the variations of PM concentrations and compositions during open-burning of rice straw and to compare the contributions analyzed by CMB and PMF. An additional field experience of straw burning was conducted for the analysis of its source profile. Under various conditions such as different sampling periods, different loads, and different styles of collecting straws for burning, the results shows that significant difference only exists in the different ways of collection: piling and spreading. In the situation of piling and spreading, the major tracing species of PM2.5 and PM10 were OC, Cl-, K+, and EC and Levoglucosan, the other important tracing specie, contributes largely to PM2.5 and PM10. Straws spread out were burned more completely and the EC increases approximately by six times. CMB and PMF were used in the study and compared. PMF was performed in different amounts of sources, that is, PMF10, PMF11, and PMF12. CMB found successfully 11 different sources, but PMF10, PMF11, and PMF12 found 8, 8, and 7 sources respectively. The significant difference of source by CMB and PMF is crustal and oil-fired boiler: CMB reveals crustal contribute 40% to particulate matter and only 20% for PMF.CMB indicates the contribution of oil-fired boiler is less than 1%, but 10% for PMF. Other contribution estimated such traffic, 50% sea spray, agriculture waste burning, ammonium sulfate, and ammonium nitrate are similar. However, 10% contribution is not identified in PMF. Comparing the result by PMF and CMB, they were not correlated well due to the incomplete source profiles and the deficiency and low concentration of tracing species.