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基于LEAP模型的兰州市道路交通温室气体与污染物协同减排情景模拟
引用本文:庞可,张芊,马彩云,祝禄祺,陈恒蕤,孔祥如,潘峰,杨宏.基于LEAP模型的兰州市道路交通温室气体与污染物协同减排情景模拟[J].环境科学,2022,43(7):3386-3395.
作者姓名:庞可  张芊  马彩云  祝禄祺  陈恒蕤  孔祥如  潘峰  杨宏
作者单位:兰州大学大气科学学院, 兰州 730000
基金项目:中央高校基本科研业务费专项(lzujbky-2017-65)
摘    要:基于LEAP模型,构建了2015~2040年兰州市道路交通发展“零措施”的基准(BAU)情景以及低碳(LC)和强化低碳(ELC)这2个节能减排情景,模拟评估各项政策和措施下能源消耗情况和温室气体与大气污染物协同减排效果.结果表明,LC情景能源消耗和CO2排放将于2026年达峰,ELC情景能源消耗和CO2排放将于2020年达峰;两种情景下,NOx、 CO、 HC、 PM2.5和PM10等污染物排放量于2015~2017年间开始出现大幅下降,下降趋势于2023年前后逐渐减缓.结合措施可行性和减排成本,LC情景可作为兰州市道路交通碳达峰减排情景:到2040年能源消耗量、 CO2、 NOx、 CO、 HC、 PM2.5和PM10排放相对于BAU情景的削减率分别达到-24.17%、-26.57%、-55.38%、-65.91%、-72.87%、-76.66%和-77.18%.兰州市道路交通当前应以公共...

关 键 词:LEAP模型  道路交通  2)"  二氧化碳(CO2)" target="_blank">name="keyword">二氧化碳(CO2  协同减排  碳达峰  兰州市
收稿时间:2021/9/13 0:00:00
修稿时间:2021/11/24 0:00:00

Forecasting of Emission Co-reduction of Greenhouse Gases and Pollutants for the Road Transport Sector in Lanzhou Based on the LEAP Model
PANG Ke,ZHANG Qian,MA Cai-yun,ZHU Lu-qi,CHEN Heng-rui,KONG Xiang-ru,PAN Feng,YANG Hong.Forecasting of Emission Co-reduction of Greenhouse Gases and Pollutants for the Road Transport Sector in Lanzhou Based on the LEAP Model[J].Chinese Journal of Environmental Science,2022,43(7):3386-3395.
Authors:PANG Ke  ZHANG Qian  MA Cai-yun  ZHU Lu-qi  CHEN Heng-rui  KONG Xiang-ru  PAN Feng  YANG Hong
Institution:College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China
Abstract:With the continuous increase in transportation activities, the transportation sector has become an important source of global greenhouse gases. In 2019, road vehicles accounted for nearly three-quarters of the CO2 emissions of the entire transportation sector and will be the key to achieving carbon peaks in the transportation sector. At the same time, air pollutants emitted by road vehicles are also one of the threats to the environment and human health. Based on the long-range energy alternatives planning system (LEAP) model, we constructed the baseline (BAU) scenario, low-carbon (LC) scenario, and enhanced low-carbon (ELC) scenario for the development of the road transport sector in Lanzhou from 2015 to 2040 and simulated energy consumption and emission co-reduction of greenhouse gases and pollutants under policies and measures. The results showed that the energy consumption and CO2 emissions of the LC scenario will peak in 2026, whereas those in the ELC scenario will peak in 2020. In these two scenarios, pollutant emissions such as NOx, CO, HC, PM2.5, and PM10 began to decline sharply between 2015 and 2017, and the downward trend will slow down gradually around 2023. Based on the feasibility of measures and the cost of abatement, the LC scenario can be used as a road vehicle carbon peak scenario in Lanzhou. In this scenario, the reduction rates of energy consumption, CO2, NOx, CO, HC, PM2.5, and PM10 emissions will reach -24.17%, -26.57%, -55.38%, -65.91%, -72.87%, -76.66%, and -77.18% compared with those under the BAU scenario by 2040. At present, the road vehicles in Lanzhou City should focus on structural optimization measures such as clean-energy use of public transportation, electrification of small passenger cars, and phasing out old cars, as well as vigorously promoting low-carbon travel and improving energy efficiency accompanying the development of automotive technology. These efforts will effectively control CO2 and pollutant emissions by road vehicles, and carbon peaks will be achieved as soon as possible. In addition, it is necessary to pay attention to the changes in vehicle types during the implementation of these measures, which most contribute CO2 and various pollutants, in order to make the measures more targeted by changing the number or the market share of new energy of focused vehicle types.
Keywords:LEAP model  road transportation  carbon dioxide (CO2)  coordinated emission reduction  carbon peak  Lanzhou City
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