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中国农田肥料N2O直接和间接排放重新评估
引用本文:营娜,麻金继,周丰,马舒坦,高伟,徐鹏,后希康. 中国农田肥料N2O直接和间接排放重新评估[J]. 环境科学学报, 2013, 33(10): 2828-2839
作者姓名:营娜  麻金继  周丰  马舒坦  高伟  徐鹏  后希康
作者单位:安徽师范大学国土资源与旅游学院, 芜湖 241002;安徽师范大学国土资源与旅游学院, 芜湖 241002;北京大学城市与环境学院, 地表过程分析与模拟教育部重点实验室, 北京 100871;安徽师范大学环境科学与工程学院, 芜湖 241002;北京大学环境科学与工程学院, 水沙科学教育部重点实验室, 北京 100871;安徽师范大学环境科学与工程学院, 芜湖 241002;安徽师范大学国土资源与旅游学院, 芜湖 241002
基金项目:国家自然科学基金(No.41201077);教育部高等学校博士学科点专项科研基金(No.20120001120129)
摘    要:
农田肥料(氮肥、复合肥、有机肥)是我国N2O最大的排放源,其估计直接决定了排放总量的可靠性.为此,重新评估了中国农田肥料N2O的直接和间接排放,选择2008年县域尺度活动数据、具有空间分异性的本土排放因子和参数来重新评估其排放规模、结构、空间格局及不确定性;通过与IPCC、EDGAR等国内外研究结果的对比分析,阐述该排放清单的可靠性和全面性.结果表明,2008年我国农田肥料N2O排放总量为617.1 Gg(处于213.7~1149.2 Gg之间),其中,氮肥直接排放为458.8 Gg(74.5%),有机肥直接排放为121.0 Gg(19.6%),挥发沉降和淋溶径流造成的间接排放分别为28.0 Gg(4.5%)和9.3 Gg(仅占1.5%左右).排放集中在华北平原、东北的松辽平原、华中的淮河流域和四川盆地,以及华南的珠三角、雷州半岛和台湾地区的县(区、市、旗),主要分布在江苏(52.4 Gg)、四川(48.0 Gg)、湖北(43.2 Gg)、广东(40.8 Gg)、河南(39.6 Gg)、安徽(38.4 Gg)、湖南(31.6 Gg)、山东(28.9 Gg),其累积规模为全国总量的52%,其中,近50%的贡献源于164个县(区、市、旗).本排放清单具有更高的准确度和空间分辨率,而基于IPCC (2006)排放因子及参数的估计排放总量高估了约8.3%,对直接排放和间接排放则分别低估了12.5%和高估了330%.此外,在空间格局上还表现出高值区低估和低值区高估的特点,在491和1225个县(区、市、旗)的相对偏差超过了100%和50%,特别指出的是,间接排放在大部分县(区、市、旗)的相对偏差达到135%左右.

关 键 词:氧化亚氮  温室气体  氮循环  本土排放因子  空间格局  不确定性估计
收稿时间:2013-01-12
修稿时间:2013-03-08

Re-quantification of the direct/indirect N2O emissions from agricultural fertilizer in China
YING N,MA Jinji,ZHOU Feng,MA Shutan,GAO Wei,XU Peng and HOU Xikang. Re-quantification of the direct/indirect N2O emissions from agricultural fertilizer in China[J]. Acta Scientiae Circumstantiae, 2013, 33(10): 2828-2839
Authors:YING N  MA Jinji  ZHOU Feng  MA Shutan  GAO Wei  XU Peng  HOU Xikang
Affiliation:College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241002;College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241002;Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871;College of Environmental Sciences and Engineering, Anhui Normal University, Wuhu 241002;Laboratory of Water and Sediment Sciences, College of Environmental Sciences and Engineering, Peking University, Beijing 100871;College of Environmental Sciences and Engineering, Anhui Normal University, Wuhu 241002;College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241002
Abstract:
Agricultural fertilizer, including straight N, compound N, and organic fertilizers) is the largest contribution of China's N2O emissions; its accuracy determines the reliability of total N2O estimations. By using county-scale activity data, regional emission factors and related parameters derived from local studies, a high-resolution N2O emission inventory of China's agricultural fertilizer is therefore established to re-quantify the emission loadings, source apportionment, spatial patterns and their total uncertainties. The proposed emission inventory is more reliable and comprehensive compared with previous ones determined by IPCC, EDGAR and other works. The main advantages could be reflected by (i) the total N2O emission form China's agricultural fertilizer was estimated as 617.1 Gg in 2008 with the range from 213.7 to 1149.2 Gg, and emission sources in consideration included direct emission from straight N fertilizer (458.8 Gg, 74.5%), direct emission from compound N fertilizer (121.0 Gg, 19.6%), indirect emission produced through atmospheric deposition of N volatized from agricultural fertilizer (28.0 Gg, 4.5%) and indirect emission from leaching/runoff (9.3 Gg, 1.5%); (ii) spatial pattern of China's N2O emission from MMS was concentrated in the counties of Northeast Plain, Huaihe River Basin, Sichuan Basin, Pearl River Delta, Leizhou Peninsula and Taiwan, and the provinces with the highest emission rates included Jiangsu (52.4 Gg), Sichuan (48.0 Gg), Hubei (43.2 Gg), Guangdong (40.8 Gg), Henan (39.6 Gg), Anhui (38.4 Gg), Hunan (31.6 Gg), and Shandong (28.9 Gg), contributing of 52.4% of total emissions in total, in which more than 25% of total the N2O emission was from only 164 counties; (iii) the proposed emission inventory was more accurate with higher spatial resolution. Previous estimation of direct emission underestimated by 12.5% while that of indirect emission overestimated by 3.3 times. Additionally, the emissions from 491 counties with higher emission rates were underestimated by more than 100%, while indirect emissions were overestimated by 135% in most counties.
Keywords:nitrous oxide  greenhouse gas  nitrogen cycle  localized emission factor  spatial pattern  uncertainty estimation
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