1980—2011年福建省农业甲烷排放估算研究

发布时间：2018-08-23 15:41

【摘要】：基于1980—2011年福建省农业生产的相关统计数据,将稻田甲烷排放模型CH_4MOD、排放因子法和GIS相结合,模拟估算了福建省1980—2011年农业源甲烷排放量。结果表明:(1)1980—2011年福建省农业CH_4共排放1 219.71×10~4t,总体呈下降趋势;(2)福建省农业CH_4排放高值区主要分布在南平市、龙岩市和漳州市,约占福建农业CH_4排放总量的47%;(3)32 a间福建省水稻CH_4总排放877.63×104t,总体呈递减走势,年均递减率为1.96%。反刍动物肠道和动物粪便CH_4排放量均呈明显上升趋势,年均增长率分别为1.04%和2.25%;(4)不同农业源CH_4排放量差异较大,以稻田CH_4排放最高,占总排放的72%,其次是动物肠道CH_4排放,占总排放量的23%,动物粪便CH_4排放约占5%;(5)对2025年甲烷排放量进行模型预测,表明福建省农业CH_4排放量总体降低,反刍动物饲料和动物粪便管理效率的提高成为未来福建农业发展的重点。
[Abstract]:Based on the statistical data of agricultural production in Fujian Province from 1980 to 2011, methane emission model CH4MOD from paddy field, emission factor method and GIS were combined to simulate and estimate methane emissions from agricultural sources in Fujian Province from 1980 to 2011. The results showed that: (1) the total CH_4 emission from agriculture in Fujian Province was 1 219.71 脳 10 ~ (4) t from 1980 to 2011, which showed a downward trend, (2) the high value region of agricultural CH_4 emission in Fujian Province was mainly distributed in Nanping City, Longyan City and Zhangzhou City. (3) the total CH_4 emission of rice in Fujian Province was 877.63 脳 10 ~ (4) t in 32 years, with an average annual decline rate of 1.96 脳 10 ~ (4) t. The CH_4 emissions of ruminant intestines and animal feces showed an obvious upward trend, with an average annual growth rate of 1.04% and 2.25%, respectively. (4) the CH_4 emissions from different agricultural sources varied greatly, with the highest CH_4 emissions from paddy fields accounting for 72% of the total emissions, followed by CH_4 emissions from animal intestines. Accounting for 23% of the total emissions, CH_4 emissions from animal feces accounted for about 5%. (5) forecasting methane emissions in 2025 shows that agricultural CH_4 emissions in Fujian Province are generally lower. The improvement of management efficiency of ruminant feed and animal dung will become the focus of agricultural development in Fujian in the future.
【作者单位】：福建农林大学资源与环境学院;
【基金】：国家自然科学基金项目(30972346) 国家科技支撑计划项目(2014BAD15B01) 福建省自然科学基金项目(2011J01087)
【分类号】：S181

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