| 江苏省2019年S/IVOCs排放清单及分布特征 |
| 摘要点击 2663 全文点击 2707 投稿时间：2022-03-29 修订日期：2022-06-16 |
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| 中文关键词 半挥发性有机物(SVOCs) 中等挥发性有机物(IVOCs) 排放清单 江苏省 空间分布 |
| 英文关键词 semi-volatile organic compounds (SVOCs) intermediate volatile organic compounds (IVOCs) emissions inventory Jiangsu province spatial characteristics |
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| 中文摘要 |
| 通过收集各类S/IVOCs排放源的活动水平数据，选取合适的排放因子和估算方法，建立了2019年江苏省半/中等挥发性有机物（S/IVOCs）排放清单，分析了江苏省各地市以及各排放源的排放特征.结果表明，2019年江苏省排放S/IVOCs约637.31 Gg，其中工业源排放最多，占比达到63.42%，其次为道路移动源（22.23%），非道路移动源占比最少（0.06%）.江苏省13地市中，苏州市S/IVOCs排放量最高（161.86 Gg），占江苏省S/IVOCs排放总量的25.40%；单位面积排放强度苏州市最高（18.70 t ·km-2），而单位GDP排放强度连云港市最高（22.45 t ·亿元-1）.江苏南部S/IVOCs的排放量较中部和北部地区高，各地市S/IVOCs总排放量、单位面积排放强度和单位GDP排放强度相差均较大.全省S/IVOCs排放量的不确定范围在-88.46%~224.38%，其中生物质燃烧源的不确定范围最大，为-96.40%~277.17%. |
| 英文摘要 |
| The semi-/intermediate volatile organic compound (S/IVOCs) emissions inventory of Jiangsu province was established in 2019 using the activity data of various S/IVOCs emission sources, emission factors, and an estimation method. S/IVOCs emissions for each source and city in Jiangsu province were analyzed. The total amount of S/IVOCs emissions in Jiangsu province in 2019 was 637.31 Gg. Industrial sources were the major source of total S/IVOCs emissions accounting for 63.42% (404.20 Gg), followed by residential on-road mobile sources (22.23%), and off-road mobile sources accounted for the least (0.06%). Suzhou had the highest S/IVOCs emissions in 2019, accounting for 25.40% (161.86 Gg) of the total S/IVOCs emissions in Jiangsu province. The S/IVOCs emission intensity per unit area in Suzhou was the highest, reaching 18.70 t·km-2, and the emission intensity per unit GDP was the highest in Lianyungang (22.45 t·100 million yuan-1). The spatial distribution map revealed that S/IVOCs emissions in southern Jiangsu were relatively higher. The difference in the total emission of S/IVOCs, emission intensity per unit area, and emission intensity per unit of GDP were quite different among cities. The uncertainty range of S/IVOCs emissions was -88.46%-224.38% in Jiangsu province in 2019. The uncertainty range of biomass burning sources was the largest (-96.40%-277.17%). |
