Primary particulate matter (PM) emission inventory from agricultural activities in northeastern China
LI Rui-min1,2, TONG Quan-song1, CHEN Wei-wei1, WANG Yi-yong1, ZHANG Shi-chun1, ZHANG Xue-lei1, ZHAO Hong-mei1, HE Yue-xin1,2
1. Key Labortory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Changchun 130102, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
Agricultural PM10 and PM2.5 inventories on the county-level scale in northeastern China were developed in this study. Based on bottom-Up method, we firstly collect the agricultural activity data, including conventional farming operations (i.e., straw burning, land preparation, harvest, grain processing, fertilizer, agricultural machinery, and wind erosion), emission factors of these operations and crop area at each county. And then, county-level PM10and PM2.5 emission inventories from agricultural operations in 2010 were developed and spatio-temporal distributions were analyzed. The results showed that the magnitude of agricultural PM10 and PM2.5 emissions in northeastern China were 54.6×104 tons and 35.6×104 tons, respectively. The PM10 and PM2.5 emissions from straw burning were highest, which accounted for 60% and 87% of the total emissions, respectively. In addition, land preparing occupied 27% and 6% for PM10 and PM2.5, respectively. The spatial distribution of agricultural PM emissions, concentrated on three plains, i.e., the Sanjiang Plain (in the northeast of Heilongjiang), the Songnen Plain (in the middle of Heilongjiang and Jilin Provinces), the Liaohe Plain (in the middle of Liaoning Provinces). Based on temporal variations, agricultural PM10 emissions mainly occurred in May, September and October, which contributed 88% of total emissions. The PM2.5 was mainly released in September and October. The uncertainty of emission inventory was 184.3%. More information on local emission factors will be helpful to decrease the emission inventory uncertainty.
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