10th International Aerosol Conference September 2 - September 7, 2018 America's Center Convention Complex St. Louis, Missouri, USA
Abstract View
Emission Characteristics of PM2.5 and Trace Gases from Household Wood Burning in Guanzhong Plain, Northwest China
YONG ZHANG, Jie Tian, Junji Cao, Wenjie Wang, Haiyan Ni, Suixin Liu, Zhenxing Shen, Institute of Earth Environment, Chinese Academy of Sciences
Abstract Number: 449 Working Group: Source Apportionment
Abstract Considering woods used as the primary fuel on countryside in Guanzhong Plain and its burning contribution for PM2.5. Five kinds of common wood fuel (Persimmon tree, Pear tree, Apple tree, Jujube and Peach) were collected and burned in a laboratory combustion chamber with a common stove to determine gaseous pollutants emission (i.e. CO2, CO, NOx, SO2) and PM2.5 emission with source profiles and speciated emission factors. The average EFs were estimated to be 1401±71 g∙kg-1 for CO2, 53.48±11.83 g∙kg-1 for CO, 1.48±0.54 g∙kg-1 for NOx, 0.53±0.19 g∙kg-1 for SO2 and 3.01±0.72 g∙kg-1 for PM2.5. OC, EC and water-soluble ions (sum of Na+, NH4+, K+, Mg2+, SO42-, NO2-, NO3-, Cl-) are major constituents for PM2.5 mass, accounting for average abundance of 29.86%±2.03%, 15.65%±1.07% and 17.51%±6.24%, respectively. The average EFs of OC and EC were 910±279 mg∙kg-1 and 465±279 mg∙kg-1. EC1 was the dominant carbon fraction with average abundance of 44%±3% for total carbon in PM2.5. For water-soluble ions, Sodium (Na+), potassium (K+) and chloride (Cl-) were the dominant with average abundance of 4.69%±2.51%, 3.81%±2.13% and 3.30%±2.45% in PM2.5. Average OC/EC ratio of woods burning was 1.96±0.45, lower than 11.94-20.20 for straw combustion. In addition, the average K+/EC ratio was 0.25±0.15, an order of magnitude lower than those from straw residues burning (0.65-3.16). Mass reconstruction of PM2.5 could explain average 87.35%±8.28% component. Similarity measures (i.e., Student’s t-test, coefficient of divergence) show the wood profiles were similar for the species measured, which indicated those profiles could be resolved from one another by receptor modeling. Woods burning contributed 2.9 μg∙m-3 and 9.8 μg∙m-3 PM2.5 in non-hazy day and hazy day in Guanzhong Plain.