盐城市2013—2021年农业源氨排放清单及特征

doi:10.16258/j.cnki.1674-5906.2025.01.008

生态环境学报 ›› 2025, Vol. 34 ›› Issue (1): 67-76.DOI: 10.16258/j.cnki.1674-5906.2025.01.008

• 研究论文【环境科学】 • 上一篇下一篇

盐城市2013—2021年农业源氨排放清单及特征

李荔¹(), 赵秋月¹^,^*(), 韩军赞², 李慧鹏¹

1.江苏省环境科学研究院/江苏省环境工程重点实验室，江苏南京 210036
2.江苏省环境工程技术有限公司，江苏南京 210019

收稿日期:2024-04-21 出版日期:2025-01-18 发布日期:2025-01-21
通讯作者: * 赵秋月。E-mail: qiuyue.zhao@163.com
作者简介:李荔（1985年生），女，高级工程师，硕士，主要从事大气污染物排放清单研究。E-mail: fruitlily@163.com
基金资助:
国家重点研发计划课题(2023YFC3709404);江苏省生态文明智库研究项目(ZK2024003);江苏省生态环境科研项目(2022011)

Agricultural Ammonia Emission Inventory and Characteristics in Yancheng City from 2013 to 2021

LI Li¹(), ZHAO Qiuyue¹^,^*(), HAN Junzan², LI Huipeng¹

1. Jiangsu Provincial Academy of Environmental Science/Jiangsu Key Laboratory of Environmental Engineering, Nanjing 210036, P. R. China
2. Jiangsu Environmental Engineering Technology Co., Ld., Nanjing 210019, P. R. China

Received:2024-04-21 Online:2025-01-18 Published:2025-01-21

摘要/Abstract

摘要：

氨是广泛存在于大气环境中的一种碱性气体，是PM_2.5二次生成的重要前体物之一。农业活动是氨排放的主要来源，建立城市尺度分区县农业源氨排放清单对提升空气质量模型准确度、制定精细化减排措施具有重要意义。根据调研与统计数据，基于排放因子法，建立了盐城市2013—2021年农业源氨排放清单，分析了各类排放源的年际变化、分布特征及减排贡献。综合利用企业工商注册信息、土地利用等精细化活动水平数据，改进了畜禽养殖的空间分配方法。结果表明，1）2021年盐城市农业源氨排放总量为87.58 kt，氮肥施用、畜禽养殖分别占63.1%和31.6%。氮肥施用中尿素排放占86.2%，畜禽养殖中家禽排放占69.8%。2）2013—2021年间，盐城市农业源氨排放总量年均下降2.8%，总体趋势与江苏省平均水平基本一致，降幅略高；排放强度由6.52 t·km⁻²持续下降至4.94 t·km⁻²，降幅达24.1%。盐城市排放强度在全国重点省份典型城市中处于中等水平，在长三角区域中处于相对高位。3）各区县排放地域差异明显，东台、大丰、射阳、滨海和阜宁等5个区县贡献了盐城市75.2%的氨排放，阜宁、建湖、东台和滨海等4个区县的排放强度高于全市平均。4）各类氨排放源中累计减排贡献率最高的为畜禽养殖和氮肥施用，分别为69.0%和31.6%。2016年起畜禽养殖氨排放量连续5年保持6.0%以上降幅，是盐城市农业源氨排放总量从平台期进入下降通道的重要原因。建议进一步关注东台、滨海、阜宁等区县，重点针对家禽、尿素等高排放源类，以及粪水贮存处理、养殖圈舍等关键环节，持续开展氨排放治理。

关键词: 氨排放, 排放清单, 农业源, 氮肥施用, 畜禽养殖, 减排, 城市尺度

Abstract:

Ammonia is an important precursor for secondary generation of PM_2.5, which is widely present in the atmospheric environment. Agricultural activities are the main sources of ammonia emissions; thus, establishing a city-scale and county-level agricultural ammonia emission inventory has great significance for improving the accuracy of air quality models and fine-tuning emission reduction measures. Using field investigations and statistical data, a comprehensive ammonia emission inventory of agricultural sources from 2013 to 2021 in Yancheng was established based on the emission factor method. Furthermore, the annual variation, distribution characteristics, and reduction contribution of ammonia emissions from all sources were analyzed. The spatial allocation method for livestock and poultry was improved by integrating detailed activity level data, such as the registration information of industrial and commercial enterprises, as well as land-use datasets. This study showed that 1) the total ammonia emissions from agricultural sources were 87.58 kt in 2021, with nitrogen fertilizer application and livestock and poultry accounting for 63.1% and 31.6%, respectively. In addition, urea and poultry were the dominant emission sources, with proportions of 86.2% and 69.8%, respectively. 2) From 2013 to 2021, the total agricultural ammonia emissions in Yancheng decreased by an annual average rate of 2.8%, which was consistent and slightly higher than the average for Jiangsu Province (where Yancheng is located). The emission intensity per unit area decreased 24.1% from 6.52 t·km⁻² to 4.94 t·km⁻². Compared with typical cities in key provinces, the agricultural ammonia emission intensity in Yancheng was at an average level but was relatively higher than that in cities in the Yangtze River Delta region. 3) Substantial regional differences in agricultural ammonia emissions exist between districts and counties. Dongtai, Dafeng, Sheyang, Binhai, and Funing contributed 75.2% of the total emissions from Yancheng. The emission intensities of Funing, Jianhu, Dongtai, and Binhai were higher than citywide averages. 4) From the perspective of emission reduction, among all types of ammonia emission sources, livestock, poultry, and nitrogen fertilizer application had the highest cumulative emission reduction contributions (69.0% and 31.6%, respectively). Since 2016, ammonia emissions from livestock and poultry have decreased by more than 6.0% over five consecutive years. To a certain extent, this was an important reason for the trend in total ammonia emissions from agricultural sources in Yancheng, turning from constant to downward. Future studies should focus on Dongtai, Binhai, and Funing. Ammonia emission control should focus on poultry, urea, and other high-emission sources, as well as fecal storage and treatment, breeding enclosures, and other key agricultural practices.

Key words: ammonia emission, emission inventory, agricultural source, nitrogen fertilizer, livestock and poultry, emission reduction, city-scale

中图分类号:

X511
X16

李荔, 赵秋月, 韩军赞, 李慧鹏. 盐城市2013—2021年农业源氨排放清单及特征[J]. 生态环境学报, 2025, 34(1): 67-76.

LI Li, ZHAO Qiuyue, HAN Junzan, LI Huipeng. Agricultural Ammonia Emission Inventory and Characteristics in Yancheng City from 2013 to 2021[J]. Ecology and Environment, 2025, 34(1): 67-76.

图/表 9

参考文献 49

[1]	APTE J S, MARSHALL J D, COHEN A J, et al., 2015. Addressing Global mortality from ambient PM_2.5[J]. Environmental Science & Technology, 49(13):8057-8066.
[2]	BOUWMAN A F, LEE D S, ASMAN W A H, et al., 1997. A global high-resolution emission inventory for ammonia[J]. Global Biogeochemical Cycles, 11(4):561-587.
[3]	HUANG X, SONG Y, LI M M, et al., 2012. A high-resolution ammonia emission inventory in China[J]. Global Biogeochemical Cycles, 26(1):GB004161.
[4]	HUTCHINGS N J, SOMMER S G, ANDERSEN J M, et al., 2001. A detailed ammonia emission inventory for Denmark[J]. Atmospheric Environment, 35(11):1959-1968.
[5]	ZHANG L, CHEN Y F, ZHAO Y H, et al., 2018. Agricultural ammonia emissions in China: Reconciling bottom-up and top-down estimates[J]. Atmospheric Chemistry and Physics, 18:339-355.
[6]	MIELCAREK-BOCHEŃSKA P, RZEŹNIK W, 2023. Ammonia emission from livestock production in Poland and its regional diversity, in the years 2005-2017[J]. Archives of Environmental Protection, 45(4):114-121.
[7]	STANAWAY J D, AFSHIN A, GAKIDOU E, et al., 2018. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. The Lancet, 392(10159):1923-1994.
[8]	SUTTON M A, PLACE C J, EAGER M, et al., 1995. Assessment of the magnitude of ammonia emissions in the United Kingdom[J]. Atmospheric Environment, 29(12):1393-1411.
[9]	SUTTON M A, DRAGOSITS U, TANG Y S, et al., 2000. Ammonia emissions from non-agricultural sources in the UK[J]. Atmospheric Environment, 34(6):855-869.
[10]	WANG C, YIN S S, BAI L, et al., 2018. High-resolution ammonia emission inventories with comprehensive analysis and evaluation in Henan, China, 2006-2016 [J]. Atmospheric Environment, 193:11-23.
[11]	ZHOU Y, CHENG S Y, LANG J L, et al., 2015. A comprehensive ammonia emission inventory with high-resolution and its evaluation in the Beijing-Tianjin-Hebei (BTH) region, China[J]. Atmospheric Environment, 106:305-317.
[12]	安欣欣, 曹阳, 王琴, 等, 2022. 北京城区PM_2.5各组分污染特征及来源分析[J]. 环境科学, 43(5):2251-2261.
	AN X X, CAO Y, WANG Q, et al., 2022. Chemical characteristics and source apportionment of PM_2.5 in urban area of Beijing[J]. Environmental Science, 43(5):2251-2261.
[13]	常志州, 靳红梅, 黄红英, 等, 2016. “十三五” 江苏省秸秆综合利用策略与秸秆产业发展的思考[J]. 江苏农业学报, 32(3):534-541.
	CHANG Z Z, JIN H M, HUANG H Y, et al., 2016. New thinking regarding integrated utilization strategy and industrial development of crop straws in Jiangsu province for the 13th Five Year Plan[J]. Jiangsu Journal of Agricultural Sciences, 32(3):534-541.
[14]	陈晨, 仲宇, 刘园园, 等, 2021. 2013-2018年北京市大气PM_2.5持续高暴露对居民因病入院的急性影响[J]. 环境科学研究, 34(1):213-219.
	CHEN C, ZHONG Y, LIU Y Y, et al., 2021. Impact of persistent high ambient fine particulate matters exposures on hospitalization in Beijing from 2013 to 2018[J]. Environmental Science Research, 34(1):213-219.
[15]	程龙, 2018. 京津冀农业氨排放清单建立及其控制方案研究[D]. 北京: 北京工业大学
	CHENG L, 2018. Establishment and control scheme of agricultural ammonia emission inventory in Beijing Tianjin Hebei region[D]. Beijing: Beijing University of Technology.
[16]	储亮, 陈井元, 杜明军, 等, 2021. 农作物秸秆资源化利用效益评价及推广条件分析——以江苏省海安市为例[J]. 江苏农业科学, 49(3):232-236.
	CHU L, CHEN J Y, DU M J, et al., 2021. Benefit evaluation and extension conditions of crop straw resource utilization: Taking Haian City of Jiangsu Province as an example[J]. Jiangsu Agricultural Sciences, 49(3):232-236.
[17]	邓明君, 罗文兵, 2018. 中国农业氨排放的时空演变趋势与减排潜力分析[J]. 中国生态农业学报, 26(9):1257-1268.
	DENG M J, LUO W B, 2018. Space-time evolution of China’s agricultural ammonia emission and emission reduction potential[J]. Chinese Journal of Eco-Agriculture, 26(9):1257-1268.
[18]	董文煊, 邢佳, 王书肖, 2010. 1994-2006年中国人为源大气氨排放时空分布[J]. 环境科学, 31(7):1457-1463.
	DONG W X, XING J, WANG S X, 2010. Temporal and spatial distribution of anthropogenic ammonia emissions in China: 1994 to 2006[J]. Environmental Science, 31(7):1457-1463.
[19]	董艳强, 陈长虹, 黄成, 等, 2009. 长江三角洲地区人为源氨排放清单及分布特征[J]. 环境科学学报, 29(8):1611-1617.
	DONG Y Q, CHEN C H, HUANG C, et al., 2009. Anthropogenic emissions and distribution of ammonia over the Yangtze River Delta[J]. Acta Scientiae Circumstantiae, 29(8):1611-1617.
[20]	方利江, 杨一群, 叶观琼, 2022. 浙江省2008-2018年人为源氨排放清单及分布特征[J]. 环境科学, 43(10):4380-4391.
	FANG L J, YANG Y Q, YE G Q, 2022. Inventory and distribution characteristics of anthropogenic ammonia emissions in Zhejiang Province from 2008 to 2018[J]. Environmental Science, 43(10):4380-4391.
[21]	冯小琼, 陈军辉, 姜涛, 等, 2020. 四川盆地2018年畜禽养殖氨排放清单研究[J]. 四川环境, 39(5):24-31.
	FENG X Q, CHEN J H, JIANG T, et al., 2020. Study on livestock ammonia emission inventory of Sichuan Basin in 2018[J]. Sichuan Environment, 39(5):24-31.
[22]	冯小琼, 王幸锐, 何敏, 等, 2015. 四川省2012年人为源氨排放清单及分布特征[J]. 环境科学学报, 35(2):394-401.
	FENG X Q, WANG X R, HE M, et al., 2015. A 2012-based anthropogenic ammonia emission inventory and its spatial distribution in Sichuan Province[J]. Acta Scientiae Circumstantiae, 35(2):394-401.
[23]	高榕, 2018. 山东省农业源氨排放清单及其减排潜力研究[D]. 济南: 济南大学.
	GAO R, 2018. Inventory and distribution characteristics of anthropogenic ammonia emissions in Zhejiang Province from 2008 to 2018[D]. Ji’nan: University of Ji’nan.
[24]	高宗源, 徐昶, 倪远之, 等, 2022. 基于在线观测本地因子的长三角家禽养殖氨排放时空分布特征[J]. 环境科学, 43(4):1829-1843.
	GAO Z Y, XU C, NI Y Z, et al., 2022. Spatiotemporal distribution of ammonia emissions from poultry farming in the Yangtze River Delta based on online monitoring derived local emission factors[J]. Environmental Science, 43(4):1829-1843.
[25]	郭德杰, 罗佳, 马艳, 2022. 江苏省秸秆综合利用途径现状及发展策略[J]. 江苏农业科学, 50(3):248-252.
	GUO D J, LUO J, MA Y, 2022. Current situation and development strategy of straw comprehensive utilization in Jiangsu Province[J]. Jiangsu Agricultural Sciences, 50(3):248-252.
[26]	侯新红, 于兴娜, 沈丽, 等, 2019. 2013-2017年江苏省人为源氨排放清单的建立及特征[J]. 环境科学, 40(11):4862-4869.
	HOU X H, YU X N, SHEN L, et al., 2019. Establishment and characteristics of an artificial ammonia emissions inventory in Jiangsu Province from 2013 to 2017[J]. Environmental Science, 40(11):4862-4869.
[27]	环境保护部, 2014. 大气氨源排放清单编制技术指南[EB/OL]. [2014-08-20]. https://www.mee.gov.cn/gkml/hbb/bgg/201408/W020140828351293771578.pdf.
	Ministry of Environmental Protection, 2014. Technical guidelines for the compilation of ammonia emission inventory from atmospheric sources[EB/OL]. [2014-08-20]. https://www.mee.gov.cn/gkml/hbb/bgg/201408/W020140828351293771578.pdf.
[28]	李静, 曾伟斌, 周翼飞, 等, 2018. 我国农业氨排放估算方法研究进展[J]. 生态学报, 38(22):8256-8265.
	LI J, ZENG W B, ZHOU Y F, et al., 2018. A synthetic review of the methods used to estimate agricultural ammonia emissions in China[J]. Acta Ecologica Sinica, 38(22):8256-8265.
[29]	刘波, 童仪, 李安, 等, 2018. 长江三角洲地区畜禽养殖业氨排放清单研究[J]. 生态与农村环境学报, 34(11):1042-1049.
	LIU B, TONG Y, LI A, et al., 2018. Study on ammonia emission inventory of livestock over Yangtze River Delta[J]. Journal of Ecology and Rural Environment, 34(11):1042-1049.
[30]	卢亚灵, 范朝阳, 蒋洪强, 等, 2021. 北京市 “大气十条” 实施的空气质量改善效益[J]. 环境科学, 42(6):2730-2739.
	LU Y L, FAN Z Y, JIANG H Q, et al., 2021. Economic benefit of air quality improvement during implementation of the air pollution prevention and control action plan in Beijing[J]. Environmental Science, 42(6):2730-2739.
[31]	邱晨晨, 宫海星, 于兴娜, 等, 2021. 南京江北新区PM_2.5中水溶性离子的季节特征和来源解析[J]. 环境科学学报, 41(5):1718-1726.
	QIU C C, GONG H X, YU X N, et al., 2021. Seasonal characteristics and source apportionment of water-soluble ions in PM_2.5 of Nanjing Jiangbei New Area[J]. Acta Scientiae Circumstantiae, 41(5):1718-1726.
[32]	邵蕊, 吕建华, 徐琬莹, 等, 2021. 青岛市人为源氨排放清单及分布特征[J]. 环境科学学报, 41(11):4449-4458.
	SHAO R, LÜ J H, XU W Y, et al., 2021. Establishment and distribution characteristics of anthropogenic ammonia emission inventory in Qingdao[J]. Acta Scientiae Circumstantiae, 41(11):4449-4458.
[33]	邵生成, 常运华, 曹芳, 等, 2019. 南京城市大气氨-铵的高频演化及其气粒转化机制[J]. 环境科学, 40(10):4355-4363.
	SHAO S C, CHANG Y H, CAO F, et al., 2019. High-frequency evolution of urban atmospheric ammonia and ammonium and its gas-to-particle conversion mechanism in Nanjing City[J]. Environmental Science, 40(10):4355-4363.
[34]	沈丽, 于兴娜, 项磊, 2018. 2006-2014年江苏省氨排放清单[J]. 中国环境科学, 38(1):26-34.
	SHEN L, YU X N, XIANG L, 2018. Estimation of ammonia emissions inventories in Jiangsu province from 2006 to 2014[J]. China Environmental Science, 38(1):26-34.
[35]	沈兴玲, 尹沙沙, 郑君瑜, 等, 2014. 广东省人为源氨排放清单及减排潜力研究[J]. 环境科学学报, 34(1):43-53.
	SHEN X L, YIN S S, ZHENG J Y, et al., 2014. Anthropogenic ammonia emission inventory and its mitigation potential in Guangdong Province[J]. Acta Scientiae Circumstantiae, 34(1):43-53.
[36]	孙庆瑞, 王美蓉, 1997. 我国氨的排放量和时空分布[J]. 大气科学, 21(5):590-598.
	SUN Q R, WANG M R, 1997. Ammonia emission and concentration in the atmospheric over China[J]. Scientia Atmospherica Sinica, 21(5):590-598.
[37]	王阿婧, 张双, 瞿艳芝, 等, 2016. 氨排放清单编制的初步研究[J]. 湖北农业科学, 55(2):345-348.
	WANG A J, ZHANG S, QU Y Z, et al., 2016. A preliminary study on compiling of ammonia emission inventory[J]. Hubei Agricultural Sciences, 55(2):345-348.
[38]	王琛, 张秀明, 段佳堃, 等, 2021. 中国农畜牧业高分辨率氨排放清单[J]. 中国生态农业学报(中英文), 29(12):1973-1980.
	WANG C, ZHANG X M, DUAN J K, et al., 2021. A high-resolution ammonia emission inventory for cropland and livestock production in China[J]. Chinese Journal of Eco-Agriculture, 29(12):1973-1980.
[39]	王康宏, 沈丽, 赵睿东, 2020. 2006-2017年安徽省人为源氨排放清单及特征[J]. 大气科学学报, 43(3):547-556.
	WANG K H, SHEN L, ZHAO R D, 2020. Anthropogenic ammonia emission inventory and its spatial distribution in Anhui Province from 2006 to 2017[J]. Transactions of Atmospheric Sciences, 43(3):547-556.
[40]	王文林, 杜薇, 韩宇捷, 等, 2021. 我国畜禽养殖氨排放特征及减排体系构建研究[J]. 农业环境科学学报, 40(11):2305-2316.
	WANG W L, DU W, HAN Y J, et al., 2021. Ammonia emission characteristics and construction of an emission reduction system for livestock and poultry farming in China[J]. Journal of Agro-Environment Science, 40(11):2305-2316.
[41]	王文兴, 卢筱凤, 1997. 中国氨的排放强度地理分布[J]. 环境科学学报, 17(1):2-7.
	WANG W X, LU X F, 1997. Geographical distribution of NH₃ emission intensities in China[J]. Acta Scientiae Circumstantiae, 17(1):2-7.
[42]	王韵杰, 张少君, 郝吉明, 2019. 中国大气污染治理:进展·挑战·路径[J]. 环境科学研究, 32(10):1755-1762.
	WANG Y J, ZHANG S J, HAO J M, 2019. Air pollution control in China: progress, challenges and future pathways[J]. Research of Environmental Sciences, 32(10):1755-1762.
[43]	席睿鹏, 2021. 全球和中国地区近地表NH₃浓度时空变化分析及影响因素研究[D]. 兰州: 兰州大学.
	XI R P, 2021. Spatiotemporal changes analysis and research on influencing factors of near-surface NH₃ concentration in the world and China[D]. Lanzhou: Lanzhou University.
[44]	徐新良, 刘纪远, 张树文, 等, 2018. 中国多时期土地利用遥感监测数据集 (CNLUCC) [DS/OL]. [2024-08-27]. https://www.resdc.cn/doi/doi. aspx?doiid=54.
	XU X L, LIU J Y, ZHANG S W, et al., 2018. China multi-temporal land use remote sensing monitoring dataset (CNLUCC) [DS/OL]. [2024-08-27]. https://www.resdc.cn/doi/doi.aspx?doiid=54.
[45]	薛文博, 许艳玲, 唐晓龙, 等, 2016. 中国氨排放对PM_2.5污染的影响[J]. 中国环境科学, 36(12):3531-3539.
	XUE W B, XU Y L, TANG X L, et al., 2016. Impacts of ammonia emission on PM_2.5 pollution in China[J]. China Environmental Science, 36(12):3531-3539.
[46]	杨志鹏, 2008. 基于物质流方法的中国畜牧业氨排放估算及区域比较研究[D]. 北京: 北京大学.
	YANG Z P, 2008. Estimation of ammonia emission from livestock in China based on mass-flow method and regional comparison[D]. Beijing: Peking University.
[47]	尹沙沙, 郑君瑜, 张礼俊, 等, 2010. 珠江三角洲人为氨源排放清单及特征[J]. 环境科学, 31(5):1146-1151.
	YIN S S, ZHENG J Y, ZHANG L J, et al., 2010. Anthropogenic ammonia emissions inventory and characteristics of in the Pearl River Delta region[J]. Environmental Science, 31(5):1146-1151.
[48]	尤翔宇, 刘湛, 张青梅, 等, 2016. 长株潭地区人为源氨排放清单及分布特征[J]. 环境科学, 37(1):94-101.
	YOU X Y, LIU Z, ZHANG Q M, et al., 2016. Anthropogenic ammonia emission inventory and its spatial distribution in Chang-Zhu-Tan region[J]. Environmental Science, 37(1):94-101.
[49]	赵旻江, 2017. 北京地区大气氨污染特征及其对细颗粒物的影响[D]. 北京: 清华大学.
	ZHAO M J, 2017. Characteristics of atmospheric ammonia pollution and its impact on fine particles in Beijing[D]. Beijing: Tsinghua University.

项目	使用份额/%	氨挥发率/%
尿素 ¹⁾	90.8	17.4
碳酸氢铵 ¹⁾	8.4	21.3
硝酸铵 ¹⁾	0.4	2.0
硫酸铵 ¹⁾	0.4	8.0
二铵 ²⁾	3.32	7.3
三元素复合肥 ²⁾	76.13	5.0

项目	使用份额/%	氨挥发率/%
尿素 ¹⁾	90.8	17.4
碳酸氢铵 ¹⁾	8.4	21.3
硝酸铵 ¹⁾	0.4	2.0
硫酸铵 ¹⁾	0.4	8.0
二铵 ²⁾	3.32	7.3
三元素复合肥 ²⁾	76.13	5.0

畜禽种类	排放因子/(kg·head⁻¹)	参考文献
黄牛	20.62	董艳强等,2009；冯小琼等,2015
奶牛	26.67	沈丽等,2018
水牛	20.62	董艳强等,2009；冯小琼等,2015
驴	18.6	杨志鹏,2008
母猪	5.08	邵蕊等,2021
肉猪	0.66	邵蕊等,2021
羊	3.27	刘波等,2018
家禽	0.16	高宗源等,2022
兔	0.23	沈丽等,2018；王康宏等,2020

畜禽种类	排放因子/(kg·head⁻¹)	参考文献
黄牛	20.62	董艳强等,2009；冯小琼等,2015
奶牛	26.67	沈丽等,2018
水牛	20.62	董艳强等,2009；冯小琼等,2015
驴	18.6	杨志鹏,2008
母猪	5.08	邵蕊等,2021
肉猪	0.66	邵蕊等,2021
羊	3.27	刘波等,2018
家禽	0.16	高宗源等,2022
兔	0.23	沈丽等,2018；王康宏等,2020

秸秆	草谷比
水稻	1.28
小麦	1.38
玉米	2.05
豆类	1.68
花生	1.5
油菜	2.05
棉花	3.32
其他谷物	1.06

盐城市2013—2021年农业源氨排放清单及特征

Agricultural Ammonia Emission Inventory and Characteristics in Yancheng City from 2013 to 2021

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 49

相关文章 6

编辑推荐

Metrics

本文评价

地区	基准年	年排放量/kt	排放强度/(t·km⁻²)	主要农业源排放占比/%	参考文献
京津冀	2015	1625.03	7.54	农田施肥占42.04；畜禽养殖占57.96	程龙,2018
长株潭	2013	65.27	2.33	农田生态系统占33.1；畜禽养殖占65.3；生物质燃烧占1.6	尤翔宇等,2016
广东省	2010	524.11	2.92	氮肥施用占45.0；畜禽养殖占49.1；生物质燃烧占5.9	沈兴玲等,2014
山东省	2015	930.14	5.76	农田生态系统占38.25；畜禽养殖占57.35；秸秆露天焚烧占0.37；其他源占4.03	高榕,2018
河南省	2015	906.4	5.43	氮肥施用占32.1；畜禽养殖占65.3；生物质燃烧占2.6	Wang et al.,2018
安徽省	2017	618.90	4.42	氮肥施用占43.4；畜禽养殖占49.6；生物质燃烧占7.0	王康宏等,2020
浙江省	2018	90.02	0.85	氮肥施用占18.7；畜禽养殖占74.9；土壤本底占3.9；固氮植物占0.2；生物质燃烧占2.3	方利江等， 2022
江苏省	2017	480.93	4.49	氮肥施用占52.1；畜禽养殖占44.3；生物质燃烧占3.6	侯新红等,2019
南京市	2017	10.96	1.66	氮肥施用占54.9；畜禽养殖占39.2；生物质燃烧占5.9	侯新红等,2019
苏州市	2017	9.68	1.12	氮肥施用占58.1；畜禽养殖占35.3；生物质燃烧占6.6	侯新红等,2019
徐州市	2017	93.79	8.33	氮肥施用占51.8；畜禽养殖占45.4；生物质燃烧占2.8	侯新红等,2019
连云港市	2017	41.60	5.46	氮肥施用占66.2；畜禽养殖占30.3；生物质燃烧占3.5	侯新红等,2019
扬州市	2017	24.29	3.69	氮肥施用占65.7；畜禽养殖占29.6；生物质燃烧占4.7	侯新红等,2019
盐城市	2021	87.58	4.94	氮肥施用占63.1；畜禽养殖占31.6；土壤本底占2.89；固氮植物占0.05；秸秆堆肥占2.3；秸秆露天焚烧占0.06	本研究

[1]	吴馨俣, 康嘉慧, 杜晓芸, 申其昆, 冯思捷, 孟凡磊, 潘月鹏, 刘学军, 许稳. 高原湖泊典型小流域农田氨挥发与近源沉降特征研究[J]. 生态环境学报, 2024, 33(8): 1236-1244.
[2]	马志伟, 张丛志, 赵占辉, 吴其聪, 赵金花, 陈卓, 李敬王, 张楠, 薛雅, 王娅茹, 陆芸萱, 张佳宝. 基于木本泥炭的土壤健康培育研究进展[J]. 生态环境学报, 2024, 33(12): 1964-1977.
[3]	赵琼, 胡溪, 张伟, 张增凯, 薛文博, 赵静. 京津冀区域燃煤小锅炉清洁改造环境效益评估[J]. 生态环境学报, 2024, 33(10): 1554-1562.
[4]	宫亮, 金丹丹, 牛世伟, 王娜, 邹晓锦, 张鑫, 隋世江, 解占军, 韩瑛祚. 辽宁省水稻田固碳减排潜力分析[J]. 生态环境学报, 2023, 32(7): 1226-1236.
[5]	贺斌, 胡茂川. 广东省各区县农业面源污染负荷估算及特征分析[J]. 生态环境学报, 2022, 31(4): 771-776.
[6]	崔亮, 张钧瑞, 李思园. “双碳”背景下农村居民清洁取暖减排效益研究[J]. 生态环境学报, 2022, 31(10): 2010-2018.