2022年北京市农业机械碳污排放特征及清洁化提升措施

Carbon and air pollutant emission characteristics and cleanliness improvement measures for agricultural machinery in Beijing, 2022

  • 摘要: 燃油农业机械是碳污排放的重要来源之一,提升其清洁化水平对于碳污减排具有重要作用。采用功率排放因子法量化了北京市2022年农业机械碳污排放状况,应用建立的清洁化评价方法评估了农业机械的清洁化程度,并提出了优化建议。结果表明:2022年北京市农业机械VOCs、CO、NOx、PM和CO2排放量分别为220.8、4 620.2、1 228.5、112.7 t和57.6 kt,排放呈现明显的季节性特征,春耕(4—6月)和秋收(8—10月)机械使用强度高,排放量显著增加。从空间分布来看,排放主要集中在大兴区、顺义区、延庆区、通州区和房山区,其总排放占比高达71%。目前北京市农业机械清洁化指数为73,其中老旧机械占比为45%,表明具有较大的清洁化提升潜力。未来应加快淘汰老旧机械进程,并通过经济激励政策推动新能源农业机械的推广,以提升北京市的农业机械清洁化水平。情景分析结果表明,在碳中和目标下,清洁化提升措施预计可减少70%~84%的碳污排放。研究结果为北京市农业机械的绿色转型提供了科学依据。

     

    Abstract: Fuel-fired agricultural machinery is a significant source of carbon and pollutant emissions, and improving its cleanliness level is crucial for emissions reduction. We quantified the carbon and air pollutant emissions of agricultural machinery in Beijing in 2022 using the power-based emission factor method. We further applied the established cleanliness evaluation framework to assess the degree of agricultural machinery cleanliness, and finally put forward some optimization suggestions. The findings indicated that the emissions of VOCs, CO, NOx, particulate matter (PM), and CO2 from agricultural machinery in Beijing in 2022 were 220.8, 4 620.2, 1 228.5, 112.7 t, and 57.6 kt, respectively. Emissions exhibited strong seasonal variations, peaking during spring tillage (April-June) and autumn harvest (August-October) due to increased machinery usage. Spatially, emissions were concentrated in Daxing, Shunyi, Yanqing, Tongzhou, and Fangshan districts, accounting for over 71% of total emissions. The current cleanliness index of Beijing's agricultural machinery was 73, with outdated equipment comprising 45%, highlighting significant potential for improvement. To enhance the cleanliness level of agricultural machinery in Beijing, efforts should focus on accelerating the retirement of outdated machinery and promoting new energy-powered agricultural equipment through economic incentives. Scenario analysis suggested that under carbon neutrality goals, these measures could reduce carbon and pollutant emissions by 70%-84%. The results provide a scientific basis for the green transition of agricultural machinery in Beijing.

     

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