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Estimation of interannual trends of ammonia emissions from agriculture in Jiangsu Province from 2000 to 2017

机译:2000年至2017年江苏省农业氨排放际趋势估算

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As the only alkaline gas in the atmosphere, ammonia could react with sulfur dioxide and nitrogen oxides to form the secondary particles. A large amount of NH_(3) in the atmosphere accelerates the rate of formation of fine particles; it therefore plays an important role in haze pollution. Livestock and poultry farming and nitrogen fertilizer application are the two main NH_(3) emission sources. Jiangsu Province contributes the largest proportion of NH_(3) emissions from agriculture in key areas of national air pollution control in China. The aims of this study are to investigate NH_(3) emissions from agriculture in Jiangsu Province using the emissions factor method, and analyze and summarize the characteristics and trends of NH_(3) emissions from 2000 to 2017. Results show that the NH_(3) emissions from agriculture in Jiangsu Province from 2000 to 2017 were mainly contributed by livestock and poultry farming (78.08%) and nitrogen fertilizer application (21.92%). Furthermore, a general fluctuation trend of an initial decrease and then an increase, of NH_(3) emissions from agriculture, could be found from 2000 to 2012, with minimum NH_(3) emissions in 2007 (708.76 kt yr~(?1)) and maximum emissions in 2012 (837.64 kt yr~(?1)); and then a decreasing trend was apparent from 2012 (837.64 kt yr~(?1)) to 2017 (690.64 kt yr~(?1)). A detailed estimation of the interannual trends and potential measures are also proposed. This study provides a solid theoretical foundation for the development of NH_(3) emissions control in Jiangsu Province.
机译:作为大气中唯一的碱性气体,氨可以与二氧化硫和氮氧化物反应以形成二次颗粒。大量的大量NH_(3)加速了细颗粒的形成速率;因此,它在阴霾污染中起着重要作用。牲畜和家禽养殖和氮肥应用是两个主要的NH_(3)排放来源。江苏省贡献了中国国家空气污染控制的主要领域的NH_(3)农业排放量最大的比例。本研究的目的是利用排放因子方法调查江苏省农业的NH_(3)排放,并分析和总结2000年至2017年NH_(3)排放的特点和趋势。结果表明NH_(3 )江苏省农业的排放从2000年到2017年主要由牲畜和家禽养殖(78.08%)和氮肥施用(21.92%)贡献。此外,初步减少的一般波动趋势,然后增加了农业的NH_(3)排放,从2000年至2012年开始,2007年的最低NH_(3)排放量(708.76 kt Yr〜(?1) )2012年的最大排放量(837.64 Kt Yr〜(?1));然后从2012年开始减少趋势(837.64 kt Yr〜(?1))至2017年(690.64 kt Yr〜(?1))。还提出了详细估计年度趋势和潜在措施。本研究为江苏省NH_(3)排放控制的发展提供了扎实的理论基础。

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