College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China.
School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China.
J Environ Sci (China). 2025 Apr;150:604-621. doi: 10.1016/j.jes.2023.12.025. Epub 2023 Dec 28.
Recently, the transportation sector in China has gradually become the main source of urban air pollution and primary driver of carbon emissions growth. Considering air pollutants and greenhouse gases come from the same emission sources, it is necessary to establish an updated high-resolution emission inventory for the transportation sector in Central China, the most polluted region in China. The inventory includes on-road mobile, non-road mobile, oil storage and transportation, and covers 9 types of air pollutants and 3 types of greenhouse gases. Based on the Long-range Energy Alternatives Planning System (LEAP) model, the emissions of pollutants were predicted for the period from 2020 to 2035 in different scenarios. Results showed that in 2020, emissions of SO, NO, CO, PM, PM, VOCs, NH, BC, OC, CO, CH, and NO in Henan Province were 27.5, 503.2, 878.6, 20.1, 17.4, 222.1, 21.5, 9.4, 2.9, 92,077.9, 6.0, and 10.4 kilotons, respectively. Energy demand and pollutant emissions in Henan Province are simulated under four scenarios (Baseline Scenario (BS), Pollution Abatement Scenario (PA), Green Transportation Scenario (GT), and Reinforcing Low Carbon Scenario (RLC)). The collaborative emission reduction effect is most significant in the RLC scenario, followed by the GT scenario. By 2035, under the RLC scenario, energy consumption and emissions of SO, NO, CO, PM, PM, VOCs, NH, CO, CH, and NO are projected to decrease by 72.0%, 30.0%, 55.6%, 56.0%, 38.6%, 39.7%, 51.5%, 66.1%, 65.5%, 55.4%, and 52.8%, respectively. This study provides fundamental data support for subsequent numerical simulations.
最近，中国交通运输部门逐渐成为城市空气污染的主要来源和碳排放增长的主要驱动因素。考虑到空气污染物和温室气体来自同一排放源，有必要为中国污染最严重的中部地区建立一个更新的交通运输部门高分辨率排放清单。该清单包括道路移动源、非道路移动源、储油和运输，涵盖了 9 种空气污染物和 3 种温室气体。基于长期能源替代规划系统（LEAP）模型，在不同情景下预测了 2020 年至 2035 年期间污染物的排放。结果表明，2020 年，河南省 SO、NO、CO、PM、PM、VOCs、NH、BC、OC、CO、CH 和 NO 的排放量分别为 27.5、503.2、878.6、20.1、17.4、222.1、21.5、9.4、2.9、92.077.9、6.0 和 10.4 千吨。在四个情景（基准情景（BS）、污染减排情景（PA）、绿色交通情景（GT）和强化低碳情景（RLC））下模拟了河南省的能源需求和污染物排放。在 RLC 情景下，协同减排效果最为显著，其次是 GT 情景。到 2035 年，在 RLC 情景下，SO、NO、CO、PM、PM、VOCs、NH、CO、CH 和 NO 的能源消耗和排放量预计将分别减少 72.0%、30.0%、55.6%、56.0%、38.6%、39.7%、51.5%、66.1%、65.5%、55.4%和 52.8%。本研究为后续数值模拟提供了基础数据支持。
