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Countyscale N2O emission inventory of China’s manure management system.

WANG Chuan1, GAO Wei2, ZHOU Feng3, CHEN Qing3, YING Na4, XU Peng1, HOU Xi-kang4     

  1. (1College of Environmental Sciences and Engineering, Anhui Normal University, Wuhu 241002, Anhui, China; 2Ministry of Education Laboratory of Water and Sediment Sciences, College of Environmental Sciences and Engineering, Peking University , Beijing 100871, China; 3Ministry of Education Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China; 4College of Land Resources and Tourism, Anhui Normal University, Wuhu 241002, Anhui, China)
  • Online:2013-10-18 Published:2013-10-18

Abstract: Manure is one of the two largest contributors to China’s N2O emission. By using the countyscale activity data and the regional emission factors and related parameters with spatial differentiation in China in 2008, this paper assessed the N2O emission loading, sources profile, spatial pattern, and uncertainty, aimed to establish a highresolution N2O emission inventory of China’s manure management system in 2008. As compared with the research results based on the IPCC, EDGAR, and other works, the proposed emission inventory was more reliable and comprehensive. The total China’s N2O emission from manure in 2008 was estimated as 572 Gg, among which, the emission from the manure except pasture/range/paddock was 322 Gg (56.3%), from the manure in pasture/range/paddock was 180 Gg (31.5%), and the indirect emission from atmospheric volatilized N deposition and leaching/runoff was 45.8 Gg (8.0%) and 1.23 Gg (0.2%), respectively. The spatial pattern of China’s N2O emission from manure was more centralized, and mainly concentrated in Jilin, Shandong, Sichuan, Hunan, Henan, Heilongjiang, and Liaoning provinces, contributing 52.4% of the total emission, and more than 25% being from 84 counties (only <3% of the whole counties). The proposed emission inventory had a higher spatial resolution and accuracy. Different with this inventory, the IPCC underestimated the direct emission while overestimated the indirect emission, with the regions of higher emission rate being underestimated by -1.5%--6.0% and those of lower emission rate being overestimated by 1.6%-13%. As for the EDGAR, the regions of higher emission rate were underestimated by -18.8--5.0%, and those of lower emission rate were mostly overestimated by 25%-54.1%.