地球科学进展

地球科学进展 >

2019 , Vol. 34 >Issue 7: 688 - 696

DOI: https://doi.org/10.11867/j.issn.1001-8166.2019.07.0688

综述与评述

航空碳排放环境损害评估方法的动态化转换、应用与比较研究

  • 韩瑞玲 ,
  • 路紫 ,
  • 姚海芳
展开
  • 1. 河北师范大学资源与环境科学学院，河北 石家庄 050024
    2. 河北师范大学旅游系，河北 石家庄 050024
韩瑞玲（1984-），女，河北廊坊人，副教授，主要从事区域发展与规划研究. E-mail:hrl309@163.com

收稿日期: 2019-01-16

  修回日期: 2019-05-26

  网络出版日期: 2019-07-29

基金资助

机场与城市耦合协调研究”(2018M631757)

收起

Study on Dynamic Transformation, Application and Comparison of Aviation Carbon Emission Environmental Damage Assessment Methods

  • Ruiling Han ,
  • Zi Lu ,
  • Haifang Yao
Expand
  • 1. Department of Resource and Environment，Hebei Normal University，Shijiazhuang 050024，China
    2. Department of Tourism，Hebei Normal University，Shijiazhuang 050024，China
Han Ruiling (1984-)， female， Langfang City， Hebei Province， Associate professor．Research areas include regional development and planning． E-mail: hrl309@163.com

Received date: 2019-01-16

  Revised date: 2019-05-26

  Online published: 2019-07-29

Supported by

airports and cities based on the reduction of air pollution emission”(2018M631757)

Fold

摘要

航空市场快速发展与空域资源供给矛盾突出加剧了航空碳排放环境损害。总结了航空碳排放环境损害评估方法的转换及其应用，并比较了评估方法在航空与地面交通方式碳排放评估过程中的特征，认为：①评估方法经历了从静态评估到动态评估的转换；航空碳排放环境损害评估方法的应用研究聚焦于碳排放量评估、空域资源利用、起降循环（LTO）阶段排放和减排实践4个关键问题。②机场终端区是航空碳排放主要发生地、LTO阶段作为航空碳排放主要发生期，二者逐渐成为评估方法应用研究的重点；减排实践主要体现在针对经济领域的减排措施优化。③基于情境评估和总量评估2类方法的应用，航空与地面交通方式碳排放的比较优势和环境损害总量影响通过距离因子和能源消耗量予以体现。④提高空域资源交通网络顺畅性、优化航班时刻结构及空域资源配置等更有利于促进航空减排。

关键词： 航空碳排放; 环境损害; 评估方法; 动态转换

本文引用格式

韩瑞玲 , 路紫 , 姚海芳 . 航空碳排放环境损害评估方法的动态化转换、应用与比较研究[J]. 地球科学进展, 2019 , 34(7) : 688 -696 . DOI: 10.11867/j.issn.1001-8166.2019.07.0688

Abstract

The contradiction between the rapid development of aviation market and supply of airspace resources has increased the environmental damages of aviation carbon emission. The conversion and application of environmental damage assessment method of aviation carbon emission were summarized, and the characteristics of the assessment methods for air and ground transportation were compared. We found out the followings: ① The evaluation method has been transformed from static assessment to dynamic evaluation, and focused on four key problems, average and total carbon emissions, airspace resource utilization, LTO stage emission, and reduction practice; ② Airport terminal area as well as LTO are becoming the focus in the study of aviation carbon emission assessment method, while the former is the main area and the latter is the main stage of aviation carbon emission. The practice of emission reduction is mainly reflected in the optimization of emission reduction measures in economic field; ③ Based on the situation and total assessment methods, environmental damage assessment and comparative advantage of aviation carbon emission and ground transportation carbon emission are reflected in the distance by using distance factor and energy consumption; ④ Improving the smoothness of airspace resource traffic network, optimizing flight schedule structure and airspace resource allocation are more conducive to promoting aviation emission reduction.

Key words： Aviation carbon emission; Environmental damage; Evaluation methods; Dynamic transformation.

参考文献

1 TurgutE T, CavcarM, UsanmazO, et al. Investigating actual landing and takeoff operations for time-in-mode, fuel and emissions parameters on domestic routes in Turkey[J]. Transportation Research Part D: Transport and Environment,2017,53: 249-262.
2 KhooH L,TeohL E. A bi-objective dynamic programming approach for airline green fleet planning[J]. Transportation Research Part D: Transport and Environment,2014, 33: 166-185.
3 WangZhongfengyan, TianYong, WanLili, et al. Progress in the study of environmental impacts of high altitude flight[J]. Environmental Protection Science,2017,43(3): 100-105.
3 王中凤燕, 田勇, 万莉莉, 等. 高空飞行的环境影响研究进展[J]. 环境保护科学,2017,43(3): 100-105.
4 AdlerN, MartiniG,VoltaN. Measuring the environmental efficiency of the global aviation fleet[J]. Transportation Research Part B: Methodological,2013, 53: 82-100.
5 ZhouW, WangT, YuY, et al. Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030[J]. Applied Energy,2016,175: 100-108.
6 AmizadehF, AlonsoG, BenitoA, et al. Analysis of the recent evolution of commercial air traffic CO2 emissions and fleet utilization in the six largest national markets of the European Union[J]. Journal of Air Transport Management,2016, 55: 9-19.
7 SmithP M, GaffneyM J, ShiW, et al. Drivers and barriers to the adoption and diffusion of Sustainable Jet Fuel (SJF) in the U.S. Pacific Northwest[J]. Journal of Air Transport Management,2017,58: 113-124.
8 WangWei, GuoRui.Research on the aircraft carbon diffusion model and analysis of its carbon reduction effect[J]. Environmental Engineering,2016, 34（8）: 174-177.
8 王维,郭瑞. 航空器碳排放扩散模型研究及减碳效果分析[J]. 环境工程,2016,34（8）: 174-177.
9 YuW, HailianY, ShuaiZ, et al. Multi-objective optimization of aircraft design for emission and cost reductions[J]. Chinese Journal of Aeronautics,2014,27(1): 52-58.
10 D’AlfonsoT, JiangC,BracagliaV. Air transport and high-speed rail competition: Environmental implications and mitigation strategies[J]. Transportation Research Part A: Policy and Practice,2016,92: 261-276.
11 LuJ L,WangC Y. Investigating the impacts of air travellers’ environmental knowledge on attitudes toward carbon offsetting and willingness to mitigate the environmental impacts of aviation[J]. Transportation Research Part D: Transport and Environment,2018,59: 96-107.
12 XiaQing, ZuoHongfu, YangJunli. Evaluation of LTO cycle emissions from aircraft in China’s Civil Aviation Airports[J]. Acta Scientiae Circumstantiae, 2008,28(7):1 469-1 474.
12 夏卿,左洪福,杨军利.中国民航机场飞机起飞着陆（LTO）循环排放量估算[J].环境科学学报,2008,28(7): 1 469-1 474.
13 SongLisheng. Emission calculation of Chinese airports based on ICAO LTO model[J]. Journal of Civil Aviation University of China, 2013,31(6): 46-48,54.
13 宋利生. 基于ICAO起降模型的中国机场飞机排污计算研究[J].中国民航大学学报,2013,31(6): 46-48,54.
14 LiChaoyi,SunJianzhong,YanHongsheng,et al. Estimation of exhausts pollution emissions for civil aircraft engine based on QAR data[J]. Chinese Journal of Environmental Engineering,2017,11(6): 3 607-3 616.
14 李超役,孙见忠,闫洪胜,等. 基于QAR数据的民航发动机尾气污染物排放量估算[J].环境工程学报,2017,11(6): 3 607-3 616.
15 BarrettS, BritterR. A simple approach for rapid operational air quality modelling at airports[C]//11th Harmonisation within Atmospheric Dispersion Modelling, 2007.
16 HanBo, LiuYating, TanHongzhi.Emission characterization of civil aviation aircraft during a whole flight[J]. Acta Scientiae Circumstantiae,2017,37(12): 4 492-4 502.
16 韩博,刘雅婷,谭宏志,等. 一次航班飞行全过程大气污染物排放特征[J]. 环境科学学报,2017,37(12): 4 492-4 502.
17 ZhaoYanhui, LuZi．Airline network carbon emission model and the analysis of external factors[J]. Advances in Earth Science，2018,33(1):103-111.
17 赵燕慧,路紫.航线网络碳排放模型及外部性要素分析[J].地球科学进展,2018,33(1):103-111.
18 WeiZhiqiang, DiaoHuazhi, HanBo. Research on calculating of aircraft pollution emissions in cruise phase[J]. Science Technology and Engineering,2014,14(19):122-127.
18 魏志强,刁华智,韩博.民用飞机巡航阶段污染物排放量计算研究[J].科学技术与工程,2014,14(19): 122-127.
19 YanGuohua, WuPeng. Estimate of carbon dioxide emissions from the aircraft's whole route[J]. Equipment Manufacturing Technology,2013，（8）: 29-31.
19 闫国华,吴鹏.飞机完整航线二氧化碳排放量估算[J]. 装备制造技术,2013,（8）: 29-31.
20 PostorinoM N, MantecchiniL. A transport carbon footprint methodology to assess airport carbon emissions[J]. Journal of Air Transport Management,2014,37: 76-86.
21 KimB, LiL,ClarkeJ. Runway assignments that minimize terminal airspace and airport surface emissions[J]. Journal of Guidance Control Dynamics,2014,37(3): 789-798.
22 FanShoubin. Control measures and efficiency of air pollutant from aircraft in USA[J]. Environmental Science and Management,2011,36(3): 30-43.
22 樊守彬. 美国机场大气污染物控制途径及效果[J].环境科学与管理,2011,36(3): 30-43.
23 DavidA S, GreggG F, RalphJ I. Modeling of terminal-area airplane fuel consumption[J]. Journal of Aircraft, 2009,46(4): 1 089-1 093.
24 LiKe, LiZheng. Consider the route optimization of aircraft emissions[J]. Energy Conservation and Environmental Protection,2009,（4）: 44-47.
24 李可,李政. 考虑飞机排放的滑行路线优化[J]. 交通节能与环保,2009,（4）: 44-47.
25 KurniawanJ S, KhardiS. Comparison of methodologies estimating emissions of aircraftpollutants, environmental impact assessment around airports[J]. Environmental Impact AssessmentReview, 2011,31(3): 240-252.
26 OlfatL, AmiriM, SoufiJ B, et al. A dynamic network efficiency measurement of airports performance considering sustainable development concept: A fuzzy dynamic network-DEA approach[J]. Journal of Air Transport Management,2016, 57: 272-290.
27 KimB, ClarkeJ P. Modeling and optimization of terminal area utilization by assigning arrival and departure fixes[C]//AIAA Guidance, Navigation, and Control （GNC） Conference,2013.
28 TerryT, BrunoM, CharlesM. Environmental impacts of continuous-descent operations imparis and new york regions[C]//10th USA/Europe Air Traffic Management Research and Development Seminar, 2013.
29 MihetecT, SteinerS, Odi?D. Utilization of flexible airspace structure in flight efficiency optimization[J]. Promet-Traffic-Traffico, 2013, 25(2):109-118.
30 DuXinru,LuZi,GaoFang,et al．Design method,application and time alternative mechanism of flexible use of airspace[J].Advances in Earth Science,2016,31(6):643-649.
30 杜欣儒,路紫,郜方,等. 灵活空域使用的设计方法与应用及其时间替代机制[J]. 地球科学进展,2016,31(6): 643-649.
31 MihetecT, SteinerS, Odi?D. Utilization of flexible airspace structure in flight efficiency optimization[J]. Promet-Traffic-Traffico, 2013, 25(2):109-118.
32 GuoR, ZhangY,WangQ. Comparison of emerging ground propulsion systems for electrified aircraft taxi operations[J]. Transportation Research Part C: Emerging Technologies,2014,44(4): 98-109.
33 S.KoudisG, HuS J, MajumdarA, et al. Airport emissions reductions from reduced thrust takeoff operations[J]. Transportation Research Part D: Transport and Environment,2017,52: 15-28.
34 KhadilkarH, BalakrishnanH. Estimation of aircraft taxi fuel burn using flight data recorder archives[J]. Transportation Research Part D: Transport and Environment,2012,17(7): 532-537.
35 WangYu, ZhangShuai. Estimation method of pollutant gas emissions for civil jet conceptual design[J]. Journal of Nanjing University of Aeronautics & Astronautics,2013,45(5): 708-714.
35 王宇,张帅. 面向客机概念设计的污染气体排放量估算方法[J]. 南京航空航天大学学报,2013,45(5): 708-714.
36 LoboP, HagenD E, PhilipD. Whitefield. Measurement and analysis of aircraft engine PM emissions downwind of an active runway at the Oakland International Airport[J]. Atmospheric Environment, 2012, 61(6):114-123.
37 StellL. Prediction of top of descent location for idle-thrust descent[C]//9th USA/Europe Air Traffic Management Research and Development Seminar, 2011.
38 MullerD, UdayP, MaraisK B. Evaluation of the Potential Environmental Benefits of RNAV/RNP Arrival Procedures[C]//11th AIAA Aviation Technology, Integration, and Operations(ATIO) Conference,2011.
39 RavizzaS, ChenJ, AtkinJ A D, et al. The trade-off between taxi time and fuelconsumption in airport ground movement[J]. Public Transport,2013,5(1/2): 25-40.
40 BruecknerJ K, AbreuC. Airline fuel usage and carbon emissions: Determining factors[J]. Journal of Air Transport Management,2017,62: 10-17.
41 XueM, AtkinsE. Terminal area trajectory optimization using simulate dannealing[C]//44th AIAA Aero-space Sciences Meeting and Exhibit, 2006.
42 SimaiakisI, KhadilkarH, BalakrishnanH, et al. Demonstration of reduced airport congestion through pushback rate control[J]. Transportation Research Part A: General,2011,66: 251-267.
43 OzkurtN. Current assessment and future projections of noise pollution at Ankara Esenboga Airport, Turkey[J]. Transportation Research Part D: Transport and Environment, 2014,32(32): 120-128.
44 HeJicheng. Air pollutant emissions of aircraft in China in recent 30 years[J]. Environmental Science,2012,33(1): 1-7.
44 何吉成. 30 年来中国民航运输行业的大气污染物排放[J]. 环境科学, 2012,33(1): 1-7.
45 ChenLin. Comparison and optimization measures of CO2 emission intensity of Chinese airlines[J]. Journal of Safety and Environment,2014,14(6): 113-116.
45 陈林. 我国航空公司CO2排放强度比较及优化措施[J]. 安全与环境学报,2014,14(6): 113-116.
46 KnorrD, ChenX, RoseM. Estimating ATM efficiency pools in the descent phase of flight[C]//9th USA/Europe Air Traffic Management R & D Seminar,2011.
47 ColtroN, SaccoL, Dalla ChiaraB. Calculations of the carrying capacity and energy consumption on the Turin-Modane railway connection: Application of models and simulation[J]. Transport an Energy Usage,2011, 66:831-858.
48 ChesterM,HorvathA. High-speed rail with emerging automobiles and aircraft can reduce environmental impacts in California’s future[J]. Environmental Research Letters, 2012,7:1-11.
49 D’AlfonsoT, JiangC, BracagliaV. Would competition between air transport and high-speed rail benefit environment and social welfare?[J] Transportation Research Part B: Methodological,2015,74: 118-137.
50 FilimonauV, DickinsonJ,RobbinsD. The carbon impact of short-haul tourism: A case study of UK travel to Southern France using life cycle analysis[J]. Journal of Cleaner Production,2014,64: 628-638.
51 ChoiW, HuS, HeM, et al. Neighborhood-scale air quality impacts of emissions from motor vehicles and aircraft[J]. Atmospheric Environment, 2013, 80: 310-321.
52 Dalla ChiaraB, De FrancoD, CovielloN, et al. Comparative specific energy consumption between air transport and high-speed rail transport: A practical assessment[J]. Transportation Research Part D: Transport and Environment, 2017, 52: 227-243.
53 RobertsonS. The potential mitigation of CO2 emissions via modal substitution of high-speed rail for short-haul air travel from a life cycle perspective—An Australian case study[J]. Transportation Research Part D: Transport and Environment,2016,46: 365-380.
Options
文章导航

/

〈 〉

地址：甘肃省兰州市天水中路8号
QQ：114723517
电话：0931-8762293　E-mail：adearth@lzb.ac.cn
陇ICP备2021001824号-5　 甘公网安备62010202000687