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Global organic carbon emissions from primary sources from 1960 to 2009

  • Ye Huang
  • , Huizhong Shen
  • , Yilin Chen
  • , Qirui Zhong
  • , Han Chen
  • , Rong Wang
  • , Guofeng Shen
  • , Junfeng Liu
  • , Bengang Li
  • , Shu Tao*
  • *Corresponding author for this work
  • Peking University

Research output: Contribution to journalArticlepeer-review

Abstract

In an attempt to reduce uncertainty, global organic carbon (OC) emissions from a total of 70 sources were compiled at 0.1° × 0.1° resolution for 2007 (PKU-OC-2007) and country scale from 1960 to 2009. The compilation took advantage of a new fuel-consumption data product (PKU-Fuel-2007) and a series of newly published emission factors (EFOC) in developing countries. The estimated OC emissions were 32.9 Tg (24.1-50.6 Tg as interquartile range), of which less than one third was anthropogenic in origin. Uncertainty resulted primarily from variations in EFOC. Asia, Africa, and South America had high emissions mainly because of residential biomass fuel burning or wildfires. Per-person OC emission in rural areas was three times that of urban areas because of the relatively high EFOC of residential solid fuels. Temporal trend of anthropogenic OC emissions depended on rural population, and was influenced primarily by residential crop residue and agricultural waste burning. Both the OC/PM2.5 ratio and emission intensity, defined as quantity of OC emissions per unit of fuel consumption for all sources, of anthropogenic OC followed a decreasing trend, indicating continuous improvement in combustion efficiency and control measures.

Original languageEnglish
Pages (from-to)505-512
Number of pages8
JournalAtmospheric Environment
Volume122
DOIs
StatePublished - 1 Dec 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Emission intensity
  • Global emission
  • OC/PM ratio
  • Organic carbon
  • Temporal trend

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