亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2

环境科学 微粒 空气质量指数 污染物 排放清单 温室气体 氮氧化物 空气污染物标准 空气污染 生物质燃烧 空气污染物 气溶胶 气象学 大气科学 燃烧 地理 化学 有机化学 地质学 生物 生态学
作者
Monica Crippa,Diego Guizzardi,Marilena Muntean,Edwin Schaaf,Frank Dentener,J. A. van Aardenne,Suvi Monni,Ulrike Doering,J. G. J. Olivier,Valerio Pagliari,Greet Janssens‐Maenhout
出处
期刊:Earth System Science Data [Copernicus Publications]
卷期号:10 (4): 1987-2013 被引量:652
标识
DOI:10.5194/essd-10-1987-2018
摘要

Abstract. The new version of the Emissions Database for Global Atmospheric Research (EDGAR v4.3.2) compiles gaseous and particulate air pollutant emissions, making use of the same anthropogenic sectors, time period (1970–2012), and international activity data that is used for estimating GHG emissions, as described in a companion paper (Janssens-Maenhout et al., 2017). All human activities, except large scale biomass burning and land use, land-use change, and forestry are included in the emissions calculation. The bottom-up compilation methodology of sector-specific emissions was applied consistently for all world countries, providing methodological transparency and comparability between countries. In addition to the activity data used to estimate GHG emissions, air pollutant emissions are determined by the process technology and end-of-pipe emission reduction abatements. Region-specific emission factors and abatement measures were selected from recent available scientific literature and reports. Compared to previous versions of EDGAR, the EDGAR v4.3.2 dataset covers all gaseous and particulate air pollutants, has extended time series (1970–2012), and has been evaluated with quality control and quality assurance (QC and QA) procedures both for the emission time series (e.g. particulate matter – PM – mass balance, gap-filling for missing data, the split-up of countries over time, few updates in the emission factors, etc.) and grid maps (full coverage of the world, complete mapping of EDGAR emissions with sector-specific proxies, etc.). This publication focuses on the gaseous air pollutants of CO, NOx, SO2, total non-methane volatile organic compounds (NMVOCs), NH3, and the aerosols PM10, PM2.5, black carbon (BC), and organic carbon (OC). Considering the 1970–2012 time period, global emissions of SO2 increased from 99 to 103 Mt, CO from 441 to 562 Mt, NOx from 68 to 122 Mt, NMVOC from 119 to 170 Mt, NH3 from 25 to 59 Mt, PM10 from 37 to 65 Mt, PM2.5 from 24 to 41 Mt, BC from 2.7 to 4.5 Mt, and OC from 9 to 11 Mt. We present the country-specific emission totals and analyze the larger emitting countries (including the European Union) to provide insights on major sector contributions. In addition, per capita and per GDP emissions and implied emission factors – the apparent emissions per unit of production or energy consumption – are presented. We find that the implied emission factors (EFs) are higher for low-income countries compared to high-income countries, but in both cases decrease from 1970 to 2012. The comparison with other global inventories, such as the Hemispheric Transport of Air Pollution Inventory (HTAP v2.2) and the Community Emission Data System (CEDS), reveals insights on the uncertainties as well as the impact of data revisions (e.g. activity data, emission factors, etc.). As an additional metric, we analyze the emission ratios of some pollutants to CO2 (e.g. CO∕CO2, NOx∕CO2, NOx∕CO, and SO2∕CO2) by sector, region, and time to identify any decoupling of air pollutant emissions from energy production activities and to demonstrate the potential of such ratios to compare to satellite-derived emission data. Gridded emissions are also made available for the 1970–2012 historic time series, disaggregated for 26 anthropogenic sectors using updated spatial proxies. The analysis of the evolution of hot spots over time allowed us to identify areas with growing emissions and where emissions should be constrained to improve global air quality (e.g. China, India, the Middle East, and some South American countries are often characterized by high emitting areas that are changing rapidly compared to Europe or the USA, where stable or decreasing emissions are evaluated). Sector- and component-specific contributions to grid-cell emissions may help the modelling and satellite communities to disaggregate atmospheric column amounts and concentrations into main emitting sectors. This work addresses not only the emission inventory and modelling communities, but also aims to broaden the usefulness of information available in a global emission inventory such as EDGAR to also include the measurement community. Data are publicly available online through the EDGAR website http://edgar.jrc.ec.europa.eu/overview.php?v=432_AP and registered under https://doi.org/10.2904/JRC_DATASET_EDGAR.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
呜呜吴发布了新的文献求助30
3秒前
4秒前
9秒前
科研通AI6应助呜呜吴采纳,获得10
11秒前
彭于晏应助Yan1961采纳,获得10
12秒前
欣喜宛亦完成签到 ,获得积分10
13秒前
FashionBoy应助dllneu采纳,获得10
14秒前
科研通AI2S应助宋佳珍采纳,获得10
17秒前
20秒前
23秒前
25秒前
Yan1961发布了新的文献求助10
26秒前
明亮的代灵完成签到 ,获得积分10
27秒前
雨下听风发布了新的文献求助10
30秒前
乐乐应助Yan1961采纳,获得10
32秒前
37秒前
43秒前
50秒前
52秒前
hjy发布了新的文献求助10
56秒前
Yan1961发布了新的文献求助10
59秒前
谢花花完成签到 ,获得积分10
1分钟前
1分钟前
李爱国应助雨下听风采纳,获得10
1分钟前
传奇3应助谦让的思枫采纳,获得10
1分钟前
HUO完成签到 ,获得积分10
1分钟前
zs完成签到 ,获得积分10
1分钟前
1分钟前
追寻元菱应助科研通管家采纳,获得10
1分钟前
1分钟前
领导范儿应助科研通管家采纳,获得10
1分钟前
追寻元菱应助科研通管家采纳,获得10
1分钟前
Gideon完成签到,获得积分10
1分钟前
HZY发布了新的文献求助10
1分钟前
科研通AI6应助窝恁叠采纳,获得10
1分钟前
TIDUS完成签到,获得积分10
1分钟前
1分钟前
微笑发布了新的文献求助10
1分钟前
笨笨曲奇发布了新的文献求助10
1分钟前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Fermented Coffee Market 500
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5232369
求助须知:如何正确求助?哪些是违规求助? 4401711
关于积分的说明 13699246
捐赠科研通 4268071
什么是DOI,文献DOI怎么找? 2342269
邀请新用户注册赠送积分活动 1339354
关于科研通互助平台的介绍 1295951