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中国农业氧化亚氮排放情景研究
Wilfried Winiwarter Modeling N_2O Emissions from Agriculture in China

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文摘 采用国际应用系统分析研究所的"牲畜和粮食产量动态模型",模拟出2000-2030年间中国粮食和牲畜的数量和需求量的地理分布,然后应用GAINS模型预测我国未来农业N_2O排放量.结果显示,2000年我国农业N_2O排放量为1533 kt N_2O,到2030年将增加到2000 kt N_2O左右,增长31%;农田N_2O排放占农业N_2O总排放量的80%,2030年农田N_2O的排放量比2000年增长37%.由于活动水平数据的模拟结果不同,各情景的N_2O排放量不同,其中INMIC_低情景中N_2O的排放量稍高于中、高排放情景.我国农业N_2O排放主要集中在山东、河南、四川、河北,江苏、湖南、云南、安徽等省,到2030年,黑龙江、内蒙古、新疆、云南和湖南五省的N_2O增加量在30 kt N_2O以上.硝化抑制剂作为N_2O的减排措施,从2015年开始实施,减排效率由4%上升到16%.采用IPCC默认排放因子会高估我国农田N_2O排放.
其他语种文摘 The livestock and crop production model developed at IIASA generates geographic distribution of demand and production of crops and livestock products,for a time horizon of 30 years from 2000 to 2030 with 5-year time step.Activity data derived from this model were uploaded to GAINS model to simulate agricultural N_2O emissions in China.The results show that agricultural N_2O emissions will rise from 1533 to 2000kt N_2O by 2030,with an increase of 31%.N_2O emissions from cropland account for 80% of the total agricultural N_2O,with an increase of 37% from 2000 to 2030.Emissions from INMIC_low scenario are a little higher than high and central scenarios,because the projections of activity data are different.Agricultural N_2O emissions are centralized in Shandong,Henan,Sichuan,Hebei,Jiangsu,Hunan,Yunnan and Anhui.By 2030,the increases of agricultural N_2O emissions are more than 30kt N_2O in Heilongjiang,Inner Mongolia,Xinjiang,Yunnan and Hunan.As a mitigation measure,nitrogen inhibitors which are implemented in 2015 will allow reducing agricultural N_2O emissions by 4% to 16%.Applying IPCC default emission factors will overestimate N_2O from cropland.
来源 地理科学进展 ,2009,28(4):636-642 【核心库】
关键词 GAINS ; 农业 ; 氧化亚氮 ; 排放情景 ; 中国
地址

中国农业科学院农业环境与可持续发展研究所, 农业部农业环境与气候变化重点开放实验室, 北京, 100081

语种 中文
文献类型 研究性论文
ISSN 1007-6301
学科 大气科学(气象学)
基金 国家自然科学基金 ;  国际应用系统分析研究所青年科学家暑期项目 ;  国家科技支撑计划项目
文献收藏号 CSCD:3654315

参考文献 共 21 共2页

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引证文献 4

1 营娜 中国农田肥料N_2O直接和间接排放重新评估 环境科学学报,2013,33(10):2828-2839
CSCD被引 10

2 王涛 黄土高原旱塬区陇东苜蓿草地N_2O释放动态及微生物驱动因子的研究 西北植物学报,2013,33(10):2113-2119
CSCD被引 6

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