Mobile source emission inventory and its spatial-temporal distribution characteristics in Altay City
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摘要:
通过“自上而下”调查方式获取移动源活动水平，采用排放因子法建立了阿勒泰市移动源排放清单，并进行移动源排放的时空特征分析和清单不确定性分析。结果表明，2021年阿勒泰市移动源9种大气污染物排放总量，CO为669.12 t，NOx为617.92 t，SO2为29.85 t，NH3为32.61 t，VOCs为136.35 t，PM2.5为35.74 t，PM10为38.06 t，BC为20.33 t，OC为6.41 t。其中，CO、SO2、NH3、VOCs主要来源于载客汽车，贡献率均超过40%；NOx主要来源于农业机械和载货汽车，贡献率均超过30%；PM2.5、PM10、BC、OC主要来源于农业机械，贡献率均超过75%。时空分布特征表现为6—8月排放量最高，人口密集的市区排放量高于其他区域。移动源9种污染物排放清单不确定性均在−39.23%~56.27%以内，本清单计算结果相对可靠。
Abstract:The activity level of mobile sources in Altay City was obtained by top-down investigation, the emission factor method was used to establish the mobile source emission inventory, and the temporal and spatial characteristics of mobile source emissions and inventory uncertainty analysis were carried out. The results showed that the total emissions of pollutants from mobile sources in Altay City in 2021 were CO 669.12 t, NOx 617.92 t, SO2 29.85 t, NH3 32.61 t, VOCs 136.35 t, PM2.5 35.74 t, PM10 38.06 t, BC 20.33 t, OC 6.41 t, respectively. Among them, CO, SO2, NH3 and VOCs mainly came from passenger vehicles, contributing more than 40%; NOx mainly from agricultural machinery and trucks, contributing more than 30%; PM2.5, PM10, BC, OC mainly from agricultural machinery, contributing more than 75%. The spatial-temporal distribution characteristics showed that the emission was the highest from June to August, and the emission in densely populated urban areas was relatively higher than that in other regions. The uncertainty of the emission inventory of 9 pollutants from mobile sources was −39.23%-56.27%, and the calculation results of this inventory were relatively reliable.
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Key words:
- mobile source /
- emission inventory /
- spatial-temporal allocation /
- uncertainty analysis /
- Altay City
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图 1 阿勒泰市不同移动源的污染物排放贡献率
Figure 1. Proportion of pollutant emissions from different mobile sources of Altay City
图 2 阿勒泰市移动源排放月分配系数
Figure 2. Monthly allocation coefficient of mobile source emissions of Altay City
图 3 阿勒泰市移动源污染物月排放量
Figure 3. Monthly emission of mobile source emissions of Altay City
图 4 阿勒泰市移动源大气污染物排放量在3 km×3 km的网格中的空间分布
Figure 4. Spatial distribution of mobile source air pollutants in a 3 km×3 km grid of Altay City
表 1 2021年阿勒泰市非道路移动源活动水平
Table 1. Non-road mobile source activity level of Altay City in 2021
非道路移动源 功率/kW 燃料类型 年燃料
使用量/（t/a）农业机械 联合收割机 37~75 柴油 1 75~130 柴油 79 ≥130 柴油 108 大中型拖拉机 <37 柴油 6 901 37~75 柴油 703 75~130 柴油 325 ≥130 柴油 102 工程机械 挖掘机 <37 柴油 13 37~75 柴油 32 75~130 柴油 70 ≥130 柴油 95 推土机 ≥130 柴油 62 装载机 <37 柴油 12 37~75 柴油 30 75~130 柴油 70 ≥130 柴油 96 叉车 <37 柴油 12 37~75 柴油 31 75~130 柴油 73 压路机 <37 柴油 3 75~130 柴油 32 平地机 37~75 柴油 21 发电机组 75~130 柴油 11 ≥130 柴油 120 
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表 2 道路移动源不确定性分析
Table 2. Uncertainty analysis of road mobile sources
污染物 排放量/（t/a） 不确定性/% 中位值 平均值 95%置信区间 CO 403.7 411.73 291.52~576.64 −29.20~40.05 NOx 300.57 306.61 208.88~439.38 −31.87~43.30 SO2 17.86 18.02 13.56~23.52 −24.75~30.52 NH3 32.2 32.66 21.93~45.87 −32.85~40.45 VOCs 79.79 80.57 64.44~100.72 −20.02~25.01 PM2.5 5.42 5.55 3.48~8.47 −37.30~52.61 PM10 6.14 6.3 3.96~9.67 −37.14~53.49 BC 3.02 3.11 1.89~4.86 −39.23~56.27 OC 0.93 0.96 0.61~1.45 −36.46~51.04
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表 3 非道路移动源不确定性分析
Table 3. Uncertainty analysis of non-road mobile sources
源类 污染物 排放量/（t/a） 不确定性/% 中位值 平均值 95%置信区间 农业机械 BC 15.44 15.51 11.72~19.75 −24.44~27.34 CO 206.75 207.75 160.23~260.46 −22.87~25.37 NOx 233.2 234.58 180.34~294.58 −23.12~25.58 OC 4.88 4.9 3.7~6.2 −24.49~26.53 PM10 28.5 28.69 21.79~36.49 −24.05~27.19 PM2.5 27.08 27.23 20.8~34.73 −23.61~27.54 SO2 5.74 5.76 4.46~7.19 −22.57~24.83 VOCs 41.67 41.84 32.14~52.37 −23.18~25.17 工程机械 BC 0.49 0.49 0.45~0.53 −8.16~8.16 CO 15.54 14.55 13.41~15.75 −7.84~8.25 NOx 11.68 11.69 10.76~12.66 −7.96~8.30 OC 0.15 0.15 0.14~0.16 −6.67~6.67 PM10 0.94 0.94 0.87~1.01 −7.45~7.45 PM2.5 0.85 0.85 0.79~0.92 −7.06~8.24 SO2 0.55 0.55 0.5~0.59 −9.09~7.27 VOCs 3.23 3.23 2.97~3.51 −8.05~8.67
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[1] LI M, LIU H, GENG G N, et al. Anthropogenic emission inventories in China: a review[J]. National Science Review,2017,4(6):834-866. doi: 10.1093/nsr/nwx150 [2] 牛宏宏, 王宝庆, 刘博薇, 等. 乌鲁木齐市散煤燃烧大气污染物排放清单及时空分布特征[J]. 环境科学研究,2019,32(1):135-141.NIU H H, WANG B Q, LIU B W, et al. Emission inventory and temporal-spatial distribution of air pollutants from residential coal combustion in Urumqi City[J]. Research of Environmental Sciences,2019,32(1):135-141. [3] 张永林, 吴睿, 杨孝文, 等. 典型城市道路交通加密监测点大气污染特征及影响因素[J]. 环境工程技术学报,2023,13(3):929-939. doi: 10.12153/j.issn.1674-991X.20221266ZHANG Y L, WU R, YANG X W, et al. Research on air pollution characteristics and influencing factors of typical urban road traffic densified monitoring stations[J]. Journal of Environmental Engineering Technology,2023,13(3):929-939. doi: 10.12153/j.issn.1674-991X.20221266 [4] 王刘铭, 王西岳, 王明仕, 等. 焦作市大气污染时空分布特征及来源分析[J]. 环境科学研究,2020,33(4):820-830.WANG L M, WANG X Y, WANG M S, et al. Spatial and temporal distribution and potential source of atmospheric pollution in Jiaozuo City[J]. Research of Environmental Sciences,2020,33(4):820-830. [5] ZHOU M M, JIANG W, GAO W D, et al. Anthropogenic emission inventory of multiple air pollutants and their spatiotemporal variations in 2017 for the Shandong Province, China[J]. Environmental Pollution,2021,288:117666. doi: 10.1016/j.envpol.2021.117666 [6] 王文鹏, 王占祥, 李继祥, 等. 兰-白城市群主要大气污染物网格化排放清单及来源贡献[J]. 环境科学,2021,42(3):1315-1327.WANG W P, WANG Z X, LI J X, et al. Gridded emission inventories of major criteria air pollutants and source contributions in Lan-Bai metropolitan area, Northwest China[J]. Environmental Science,2021,42(3):1315-1327. [7] 李贝睿. 长株潭区域大气污染物排放源清单研究[D]. 湘潭: 湘潭大学, 2016. [8] 李亚林, 郭秀锐, 程水源, 等. 邯郸市大气污染源排放清单建立及总量校验[J]. 环境科学研究,2020,33(1):1-8.LI Y L, GUO X R, CHENG S Y, et al. Establishment and verification of air pollution source emission inventory in Handan City[J]. Research of Environmental Sciences,2020,33(1):1-8. [9] 王森. 东北区域机动车大气污染物高时空分辨率排放清单及其减排策略研究[D]. 沈阳: 东北大学, 2020. [10] 宁亚东, 李宏亮. 我国移动源主要大气污染物排放量的估算[J]. 环境工程学报,2016,10(8):4435-4444.NING Y D, LI H L. Estimation for main atmospheric pollutants emissions from mobile sources in China[J]. Chinese Journal of Environmental Engineering,2016,10(8):4435-4444. [11] 李新, 马志豪, 何超, 等. 宜宾市2018年移动源污染物排放清单与空间分布特征[J]. 河南科技大学学报(自然科学版),2021,42(6):26-32.LI X, MA Z H, HE C, et al. Mobile source pollutant emission inventory and spatial distribution characteristics in Yibin in 2018[J]. Journal of Henan University of Science and Technology (Natural Science),2021,42(6):26-32. [12] 李光华, 高健, 邓顺熙, 等. 渭南市道路移动源高分辨温室气体排放清单及特征研究[J]. 环境科学学报,2022,42(12):332-340.LI G H, GAO J, DENG S X, et al. A study on high temporal-spatial resolution emission inventory and its characteristics of greenhouse gas for on-road mobile source in Weinan, China[J]. Acta Scientiae Circumstantiae,2022,42(12):332-340. [13] ZHANG Q J, WEI N, YANG L, et al. Emission inventory and control policy for non-road construction machinery in Tianjin[J]. Environmental Science and Pollution Research International,2022,29(5):6688-6697. doi: 10.1007/s11356-021-16218-x [14] 张大宇. 忻州市大气污染源排放清单及不确定[D]. 太原: 太原理工大学, 2019. [15] SUN S D, SUN L N, LIU G, et al. Developing a vehicle emission inventory with high temporal-spatial resolution in Tianjin, China[J]. Science of the Total Environment,2021,776:145873. doi: 10.1016/j.scitotenv.2021.145873 [16] 薛志钢, 杜谨宏, 任岩军, 等. 我国大气污染源排放清单发展历程和对策建议[J]. 环境科学研究,2019,32(10):1678-1686.XUE Z G, DU J H, REN Y J, et al. Development course and suggestion of air pollutant emission inventory in China[J]. Research of Environmental Sciences,2019,32(10):1678-1686. [17] 孙晓艳, 赵敏, 申恒青, 等. 济南市城区夏季臭氧污染过程及来源分析[J]. 环境科学,2022,43(2):686-695.SUN X Y, ZHAO M, SHEN H Q, et al. Ozone formation and key VOCs of a continuous summertime O3 pollution event in Ji'nan[J]. Environmental Science,2022,43(2):686-695. [18] 王德来, 崔景文, 李云凤, 等. 北京南部地区夏季末臭氧及其前体物污染特征、臭氧生成潜势及源解析[J]. 环境科学学报,2023,43(4):40-52.WANG D L, CUI J W, LI Y F, et al. Pollution characteristics of ozone and its precursors, ozone generation potential and source analysis in southern Beijing in late summer[J]. Acta Scientiae Circumstantiae,2023,43(4):40-52. [19] 徐小凡, 王宝庆, 吴俊成, 等. 港口自有移动源大气污染物排放清单[J]. 环境科学,2023,44(3):1357-1367.XU X F, WANG B Q, WU J C, et al. Port-owned mobile source air pollutant emission inventory[J]. Environmental Science,2023,44(3):1357-1367. [20] 解淑霞, 黄志辉, 王鑫, 等. 阳泉市2017年基于交通流量的机动车排放清单[J]. 环境工程技术学报,2021,11(2):226-233.XIE S X, HUANG Z H, WANG X, et al. Emission inventory of motor vehicle based on traffic flow for Yangquan City in 2017[J]. Journal of Environmental Engineering Technology,2021,11(2):226-233. [21] 高丹丹, 尹沙沙, 谷幸珂, 等. 河南省2016—2019年机动车大气污染物排放清单及特征[J]. 环境科学,2021,42(8):3663-3675.GAO D D, YIN S S, GU X K, et al. Vehicle air pollutant emission inventory and characterization in Henan Province from 2016 to 2019[J]. Environmental Science,2021,42(8):3663-3675. [22] 张意, MICHEL A, 李东, 等. 天津市非道路移动源污染物排放清单开发[J]. 环境科学,2017,38(11):4447-4453.ZHANG Y, MICHEL A, LI D, et al. Development of a non-road mobile source emissions inventory for Tianjin[J]. Environmental Science,2017,38(11):4447-4453. [23] GAO C K, GAO C B, SONG K H, et al. Vehicle emissions inventory in high spatial-temporal resolution and emission reduction strategy in Harbin-Changchun Megalopolis[J]. Process Safety and Environmental Protection,2020,138:236-245. doi: 10.1016/j.psep.2020.03.027 [24] HE M, ZHENG J Y, YIN S S, et al. Trends, temporal and spatial characteristics, and uncertainties in biomass burning emissions in the Pearl River Delta, China[J]. Atmospheric Environment,2011,45(24):4051-4059. doi: 10.1016/j.atmosenv.2011.04.016 [25] XUE Y F, ZHANG S H, ZHOU Z, et al. Spatio-temporal variations of multiple primary air pollutants emissions in Beijing of China, 2006-2015[J]. Atmosphere,2019,10(9):494. doi: 10.3390/atmos10090494 [26] 魏巍, 王书肖, 郝吉明. 中国人为源VOC排放清单不确定性研究[J]. 环境科学,2011,32(2):305-312.WEI W, WANG S X, HAO J M. Uncertainty analysis of emission inventory for volatile organic compounds from anthropogenic sources in China[J]. Environmental Science,2011,32(2):305-312. [27] STREETS D G, BOND T C, CARMICHAEL G R, et al. An inventory of gaseous and primary aerosol emissions in Asia in the year 2000[J]. Journal of Geophysical Research (Atmospheres),2003,108(D21):8809. □ -
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