Published August 2021 | Version v1
Journal article

Evaluation of comprehensive monthly-gridded methane emissions from natural and anthropogenic sources in China

  • 1. University of Chinese Academy of Sciences, Beijing 101408 (China)
  • 2. State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101 (China)
  • 3. Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8506 (Japan)

Description

Highlights: • A monthly gridded CH4 emission inventory from eight sources was developed. • We improved activity data and EFs with high spatial-temporal resolution. • Annual CH4 emissions were 62 Tg, mostly from energy, livestock, and paddy fields. • CH4 values peaked in July and August due to paddy fields, vegetation, and wetlands. • Inner Mongolia, Shanxi, Sichuan, Guizhou, and Hunan had the most emissions. The observed atmospheric methane (CH4) concentration in China has grown rapidly in recent years, showing marked spatial-temporal variation. However, existing inventories, most of which are yearly, provincial, and incomplete, have failed to reflect the spatial variation and seasonal trends of CH4 emissions. This study aims to develop a high-resolution (0.05° × 0.05°) monthly inventory of CH4 emissions across China in 2015 from eight major natural and anthropogenic sources. The inventory evaluation of CH4 emissions was based on the gridded activity data and high spatial-temporal resolution emission factors, which were estimated by their relationship with environmental factors in most source sectors. The results showed that the annual CH4 emissions across China were 61.65 Tg, of which 85% was associated with anthropogenic emissions. Energy activities, livestock, and paddy fields were the largest contributors, accounting for 31% (19.06 Tg), 24% (15.01 Tg) and 19% (11.45 Tg) of the total emissions respectively, followed by vegetation (7%, 4.52 Tg), wetlands (7%, 4.20 Tg), wastewater (6%, 3.43 Tg), municipal solid waste, (4%, 2.59 Tg) and biomass burning (2%, 1.40 Tg). However, these proportions varied by month; paddy fields, vegetation, and wetlands emitted the most CH4 in July and August with approximately 29%, 14%, and 8% of total emissions, respectively, and least in January and December with 0%, 2%, and 2%, respectively, leading to a CH4 emissions peak in summer and a valley in winter. Moreover, the major contributing provinces of CH4 emissions in China were Inner Mongolia, Shanxi, Sichuan, Guizhou, and Hunan, accounting for 33% of China's total emissions. The dominant emission sources were energy activities in Mongolia, Shanxi, and Guizhou; livestock in Sichuan; and paddy fields in Hunan. This improved inventory of CH4 emissions can help understanding the spatial-temporal variation of CH4 concentration in the atmosphere and formulating regional-seasonal-specific emission reduction policies.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2021.147116

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2021.147116;
PII
S0048969721021860;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
784
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.