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中国农业面源污染物排放量计算及中长期预测
引用本文:马国霞,於方,曹东,牛坤玉.中国农业面源污染物排放量计算及中长期预测[J].环境科学学报,2012,32(2):489-497.
作者姓名:马国霞  於方  曹东  牛坤玉
作者单位:环境保护部环境规划院,北京,100012
基金项目:水专项课题"中国水环境保护战略和行动方案研究"(No.2008ZX07631-01-02);国家自然科学基金项目(No.40801051)
摘    要:利用第一次全国污染源普查数据,计算了我国内地31个省市自治区农业面源污染排放量,在此基础上,预测了2010—2030年农业面源污染情况.结果表明,2007年,我国农业面源污染的污染物总排放量为1057×104t,其中,COD排放量为825.9×104t,总氮为187.2×104t,总磷为21.6×104t,氨氮为22.4×104t.如果不加大对面源污染的治理力度,2020年前我国农业面源污染有加剧的趋势.在高排放情景下,2030年农业面源污染中COD排放量可能上升到1466.5×104t,面源污染需引起高度重视.目前,东部沿海地区是我国农业面源污染的主要排放区,但未来我国农业面源污染排放的空间分布可能趋于均衡.

关 键 词:农业面源污染  规模化畜禽养殖  种植业  预测
收稿时间:2011/4/15 0:00:00
修稿时间:2011/6/23 0:00:00

Calculation of agricultural non-point source pollution emission in China and its long-term forecast
MA Guoxi,YU Fang,CAO Dong and NIU Kunyu.Calculation of agricultural non-point source pollution emission in China and its long-term forecast[J].Acta Scientiae Circumstantiae,2012,32(2):489-497.
Authors:MA Guoxi  YU Fang  CAO Dong and NIU Kunyu
Institution:Chinese Academy for Environmental Planning of the State Environmental Protection Administration, Beijing 100012;Chinese Academy for Environmental Planning of the State Environmental Protection Administration, Beijing 100012;Chinese Academy for Environmental Planning of the State Environmental Protection Administration, Beijing 100012;Chinese Academy for Environmental Planning of the State Environmental Protection Administration, Beijing 100012
Abstract:With the First National Pollution Source Census in 2007, this paper calculates the agricultural non-point source pollution emissions for all 31 provinces in mainland China. Based on the results, the emission situation during 2010 to 2030 for each province is predicted. Some conclusions are drawn as follows. In 2007, the total emission of agricultural non-point source pollution in China is 1057×104 t, within which COD emission is 825.9×104 t, TN 187.2×104 t, TP 21.6×104 t, and NH4+-N about 22.4×104 t. If more stringent pollution control efforts were not implemented, the pollution of agricultural non-point source would further exacerbate before 2020. Under high-emission scenario, COD emission of agricultural non-point source pollution may reach 1466.5×104 t, highlighting the importance of agricultural non-point source pollution. The emission of agricultural non-point source pollution has spatial differentiation and eastern coastal areas contribute larger proportion of the total emission. However, in the future, the spatial distribution of agricultural non-point source pollution emission may tend to be balanced.
Keywords:agricultural non-point source pollution  large-scale livestock and poultry  planting  prediction
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