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中国动物源CH_4排放空间分布和时间变化研究
引用本文:林余,张稳,黄耀. 中国动物源CH_4排放空间分布和时间变化研究[J]. 环境科学, 2011, 32(8): 2212-2220
作者姓名:林余  张稳  黄耀
作者单位:1. 南京农业大学资源与环境科学学院,南京,210095
2. 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京,100029
3. 南京农业大学资源与环境科学学院,南京210095 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029
基金项目:国家重点基础研究发展规划(973)项目(2010CB950603)
摘    要:将IPCC国家温室气体清单指南(2006)用于估算动物源CH4排放的方法2和GIS空间化数据库技术结合,以2004年全国各县级行政单位的畜牧统计数据和1 km×1 km土地利用栅格数据为主要数据源,系统地估算了中国大陆当年动物源CH4排放量(包括消化道CH4排放和粪便管理系统CH4排放两部分),并分析了其空间分布和季节...

关 键 词:甲烷排放  牲畜  空间分布  时间变化  中国
收稿时间:2010-08-12
修稿时间:2010-11-02

Estimating Spatiotemporal Dynamics of Methane Emissions from Livestock in China
LIN Yu,ZHANG Wen and HUANG Yao. Estimating Spatiotemporal Dynamics of Methane Emissions from Livestock in China[J]. Chinese Journal of Environmental Science, 2011, 32(8): 2212-2220
Authors:LIN Yu  ZHANG Wen  HUANG Yao
Affiliation:College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, China. linyuinly@hotmail.com
Abstract:Combining Tier 2 method presented in the guidelines of the Intergovernmental Panel on Climate Change (IPCC, 2006) with GIS techniques, a primary estimation of methane emission from livestock in 2004 (including emission from enteric fermentation and manure management system) was made with county-level livestock statistics and 1 km×1 km raster data. The results indicated that the methane emission from livestock was 12.79×106 tons totally in China, and 11.64×106 tons from enteric fermentation and 1.16×106 tons from manure management. The uncertainties of the methane emission from enteric fermentation and manure management were ±35.10% and ±14.58% respectively. The high methane emission was at Yellow River basin, especially in the lower reaches of the Yellow River and the North China Plain. The Southwestern China also can be found with high emission. In accordance with the seasonal temperature changes, the temporal variation of manure management emission was estimated the highest in summer and the lowest in winter.
Keywords:methane emission   livestock   spatial distribution   temporal dynamics   China
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