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Emission Inventory of On-Road Transport in Bangkok Metropolitan Region (BMR) Development during 2007 to 2015 Using the GAINS Model

机译:使用GAINS模型的2007年至2015年曼谷大都会区(BMR)发展中的公路运输排放清单

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摘要

Bangkok Metropolitan Region (BMR), including the capital city and five adjacent provinces, constitutes one of the top 10 megacities experiencing serious traffic congestion in the world, leading to air quality problems with significant adverse human health risks. Previously, there have been many operations planned to influence the fuel consumption and emissions from the on-road transport sector in the BMR area. It is necessary to estimate emissions using detailed information in order to thoroughly understand the reason for changes in emission levels and their impact on air quality. This paper aims to determine the successful implementation of energy and air pollution control policies in Thailand through an investigation of the emissions inventory of on-road transport in BMR, including ozone precursors (CO, NO X , Non-methane volatile organic compounds (NMVOCs) ), greenhouse gases (CO 2 , CH 4 , N 2 O), acidic substances (SO 2 and NH 3 ), and particulate matters (PM 2.5 , PM 10 , Black Carbon (BC), Organic Carbon (OC)) during the period from 2007 to 2015, using the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model based on the country-specific activity data together with the emission factor from the GAINS-Asia database. This study found that the amount of exhaust emissions over the BMR area in the year 2015 (and the trend during the period from 2007 to 2015) is approximately 139 kt of CO (?7.9%), 103 kt of NO X (?4.1%), 19.9 kt of NMVOC (?6.7%), 15 kt of CO 2 (+1.6%), 8.6 kt of CH 4 (+6.8%), 0.59 kt of N 2 O (+1.3%), 0.87 kt of SO 2 (?25.8%), 1.1 kt of NH 3 (+7.8%), 4.9 kt of PM 2.5 (?5.5%), 5.1 kt of PM 10 (?7.9%), 3.1 kt of BC (?2.5%), and 1.4 kt of OC (?7.7%). The change in emissions in each pollutant is a result of the more stringent control of fuel and engine standards, the shift in the fuel type used, and the effects of controlling some emissions. Light duty car gasoline fuel is identified as a major contributor of CO, NH 3 , N 2 O, and NMVOC, whereas trucks are the greatest emitters of NO X , SO 2 , and particulate matter. This study suggests that the most powerful implementation plan for the continuous, significant reduction of ozone precursor, SO 2 , and particulate matter emissions is the more stringent enforcement of fuel and vehicle standard levels, especially concerning light duty vehicles.
机译:曼谷首都地区(BMR),包括首都和五个邻近省份,是全球交通严重拥堵的十大城市之一,导致空气质量问题,对人类健康构成重大不利风险。以前,已经计划了许多操作来影响BMR地区公路运输部门的燃料消耗和排放。为了全面了解排放水平变化的原因及其对空气质量的影响,有必要使用详细信息估算排放量。本文旨在通过调查BMR公路运输的排放清单(包括臭氧前体(CO,NO X,非甲烷挥发性有机化合物(NMVOCs)))来确定泰国能源和空气污染控制政策的成功实施),温室气体(CO 2,CH 4,N 2 O),酸性物质(SO 2和NH 3)以及颗粒物(PM 2.5,PM 10,黑碳(BC),有机碳(OC))在2007年至2015年期间,使用了基于特定国家/地区活动数据以及来自GAINS-Asia数据库的排放因子的温室气体和空气污染相互作用与协同效应(GAINS)模型。这项研究发现,2015年BMR区域的废气排放量(以及2007年至2015年的趋势)约为CO 139 kt(约7.9%),NO X 103 kt(约4.1%)。 ),19.9克拉NMVOC(约6.7%),15克拉CO 2(+1.6%),8.6克拉CH 4(+6.8%),0.59克拉N 2 O(+1.3%),0.87克拉SO 2(≤25.8%),1.1 kt NH 3(+7.8%),4.9 kt PM 2.5(≤5.5%),5.1 kt PM 10(≤7.9%),3.1 kt BC(≤2.5%),和1.4克拉的OC(?7.7%)。每种污染物排放量的变化是对燃料和发动机标准进行更严格控制,所用燃料类型的变化以及某些排放物控制效果的结果。轻型汽车汽油燃料被认为是CO,NH 3,N 2 O和NMVOC的主要贡献者,而卡车则是NO X,SO 2和颗粒物的最大排放者。这项研究表明,要持续,大量减少臭氧前体,SO 2和颗粒物排放,最有力的实施计划是严格执行燃油和车辆标准水平,尤其是在轻型车辆方面。

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