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Inventory of Anthropogenic Methane Emissions in Mainland China from 1980 to 2010

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Inventory of Anthropogenic Methane Emissions in Mainland China from 1980 to 2010 Atmos. Chem. Phys., 16, 14545–14562, 2016 www.atmos-chem-phys.net/16/14545/2016/ doi:10.5194/acp-16-14545-2016 © Author(s) 2016. CC Attribution 3.0 License. Inventory of anthropogenic methane emissions in mainland China from 1980 to 2010 Shushi Peng1, Shilong Piao1, Philippe Bousquet2, Philippe Ciais1,2, Bengang Li1, Xin Lin2, Shu Tao1, Zhiping Wang3, Yuan Zhang1, and Feng Zhou1 1Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China 2Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France 3State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Nanxincun 20, Xiangshan, Beijing 100093, China Correspondence to: Shushi Peng ([email protected]) Received: 14 February 2016 – Published in Atmos. Chem. Phys. Discuss.: 16 March 2016 Revised: 31 October 2016 – Accepted: 1 November 2016 – Published: 23 November 2016 Abstract. Methane (CH4/ has a 28-fold greater global warm- factors collected from state-of-the-art published literatures. ◦ ◦ ing potential than CO2 over 100 years. Atmospheric CH4 We also distributed province-scale emissions into 0.1 × 0.1 concentration has tripled since 1750. Anthropogenic CH4 maps using socioeconomic activity data. This new inventory emissions from China have been growing rapidly in the past could help understanding CH4 budgets at regional scale and decades and contribute more than 10 % of global anthro- guiding CH4 mitigation policies in China. pogenic CH4 emissions with large uncertainties in existing global inventories, generally limited to country-scale statis- tics. To date, a long-term CH emission inventory includ- 4 1 Introduction ing the major sources sectors and based on province-level emission factors is still lacking. In this study, we produced a Methane (CH4/ plays an important role on global warming detailed annual bottom-up inventory of anthropogenic CH4 as a greenhouse gas. The radiative forcing in 2011 relative emissions from the eight major source sectors in China for to 1750 caused by anthropogenic CH4 emissions is about the period 1980–2010. In the past 3 decades, the total CH4 0.97 [0.74–1.20] W m−2, ranging from 0.74 to 1.20 W m−2, −1 emissions increased from 24.4 [18.6–30.5] Tg CH4 yr in which contributes 32 % of total anthropogenic radiative forc- 1980 (mean [minimum–maximum of 95 % confidence in- ing by long-lived greenhouses gases (CO2, CH4, halocarbons terval]) to 44.9 [36.6–56.4] Tg CH yr−1 in 2010. Most of 4 and N2O) since 1750 (IPCC, 2013). Atmospheric CH4 con- this increase took place in the 2000s decade with averaged centration increased by 1080 ppb since pre-industrial times, yearly emissions of 38.5 [30.6–48.3] Tg CH yr−1. This fast 4 reaching 1803 ppb in 2011 (IPCC, 2013). The growth of CH4 increase of the total CH4 emissions after 2000 is mainly levels in the atmosphere is largely driven by increasing an- driven by CH4 emissions from coal exploitation. The largest thropogenic emissions (e.g., Ghosh et al., 2015). Based on contribution to total CH4 emissions also shifted from rice an ensemble of top-down and bottom-up studies, Kirschke cultivation in 1980 to coal exploitation in 2010. The to- et al. (2013) synthesized decadal natural and anthropogenic tal emissions inferred in this work compare well with the CH4 sources for the past 3 decades, and reported that 50– EPA inventory but appear to be 36 and 18 % lower than 65 % of CH4 emissions originate from anthropogenic CH4 the EDGAR4.2 inventory and the estimates using the same sources. method but IPCC default emission factors, respectively. The uncertainty of our inventory is investigated using emission Published by Copernicus Publications on behalf of the European Geosciences Union. 14546 S. Peng et al.: Inventory of anthropogenic methane emissions Between 14 and 22 % of global anthropogenic CH4 emis- to regional specific EFs and activity data. This is the main sions in the 2000s were attributed to China (Kirschke et al., goal of this study. 2013). The major anthropogenic CH4 sources in China in- A comprehensive annual anthropogenic CH4 inventory clude rice cultivation, fossil fuel exploitation and combus- for mainland China (PKU-CH4; note that only 31 inland tion, livestock, biomass and biofuel burning and waste de- provinces are included in this inventory, and emissions in posits. With rapid growth of the Chinese economy, the num- Hong Kong, Macau and Taiwan are not included in this in- ber of livestock has nearly tripled in the past 3 decades, ventory) was produced between 1980 and 2010, both at coun- ◦ causing an increase in CH4 emissions from enteric fermen- try and province scale, and downscaled at 0.1 spatial res- tation and manure management (Khalil et al., 1993; Ver- olution. To do so, we compiled activity data at county or burg and Denier van der Gon, 2001; Yamaji et al., 2003; province levels for eight major source sectors: (1) livestock, Zhang and Chen, 2014b). The types of livestock (cow, cattle, (2) rice cultivation, (3) biomass and biofuel burning, (4) coal etc.) and their alimentation have evolved as well, and these exploitation, (5) oil and natural gas systems, (6) fossil fuels change CH4 emissions (IPCC, 2006). The exploitation and combustion, (7) landfills and (8) wastewater. We also com- consumption of fossil fuels have increased exponentially, es- piled regional specific EFs for each source sector from pub- pecially coal exploitation (e.g., Zhang et al., 2014), although lished literature in English and Chinese. We then estimated large uncertainties remain in the magnitude of greenhouse annual CH4 emissions and their uncertainty for the eight ma- gas emissions (e.g., Liu et al., 2015). In contrast, the de- jor source sectors and for total emissions. Finally, we pro- ◦ ◦ crease of rice cultivation area (Verburg and Denier van der duced annual gridded maps of CH4 emissions at 0.1 × 0.1 Gon, 2001; Kai et al., 2011) and changes in agricultural prac- for each source sector based on socioeconomic drivers (e.g., tices (Chen et al., 2013) can lead to reduced CH4 emissions rural and urban population, coal exploitation, and gross do- from rice paddies. mestic product (GDP)). Note that this inventory only in- Total methane emissions from China remain uncertain cludes annual anthropogenic CH4 emissions and has not in- as illustrated by discrepancies between global inventories cluded the seasonality of CH4 emissions yet, which is worth and between bottom-up inventories and recent atmospheric- being investigated in future study. The database is described based analyses (e.g., Kirschke et al., 2013). The Emission in Sect. 2, and methane emissions for the period 1980–2010 Database for Global Atmospheric Center (EDGAR, ver- are presented in Sect. 3 and discussed in Sect. 4. For the main sion 4.2, http://edgar.jrc.ec.europa.eu/overview.php?v=42) CH4 source sectors, such as emissions from coal exploita- −1 reports that China has 73 Tg CH4 yr of anthropogenic CH4 tion, oil and gas systems, livestock and landfills, the possible sources in 2008, while the US Environmental Protection reduction potentials and corresponding policies are also dis- −1 Agency (EPA) estimates that China emitted 44 Tg CH4 yr cussed in Sect. 4. of anthropogenic CH4 sources in 2010. Based on a province- level inventory, Zhang and Chen (2010) reported anthro- −1 2 Methods and datasets pogenic CH4 emissions of 38.6 Tg CH4 yr for the year 2007. This large range of estimates (∼ 30 Tg CH yr−1/ is 4 2.1 Methodology mainly caused by different emission factors (EFs) or ac- tivity data applied in these inventories (EDAGRv4.2; EPA, The CH4 emissions from eight sectors, namely livestock, rice 2012; Zhang and Chen, 2010). Such discrepancies between cultivation, biomass and biofuel burning, coal exploitation, inventories have been identified as limiting our ability to oil and natural gas systems, fossil fuel combustion, landfills close the global methane budget (Dlugokencky et al., 2011; and wastewater, are investigated in this study. The methods Kirschke et al., 2013; IPCC, 2013). Atmospheric inversions of IPCC greenhouse gas inventory guidelines (IPCC, 2006) also tend to infer smaller methane emissions for China were used to estimate CH emissions for these eight sectors. −1 4 than reported by EDGAR4.2, with 59 [49–88] Tg CH4 yr The annual CH4 emissions in the year t from the eight sectors for the 2000–2009 decade in Kirschke et al. (2013) and are calculated by Eq. (1). −1 ∼ 40 [35–50] Tg CH4 yr in the inversion of Bergamaschi XXX et al. (2013, see their Fig. 5). E.t/ D ADS,R,C.t/ × EFS,R,C.t/ Global inventories generally rely on country-level socioe- S R C conomic statistics, which hardly fully reflect the more lo- × 1 − CFS,R,C.t/ ; (1) cal to regional, possibly rapidly changing, characteristics of methane sources. This is especially the case in China where where E.t/ represents the total CH4 emissions from the economic growth and the sources of CH4 present large dif- eight sectors; S, R and C indicate the index of sectors, re- ferences between provinces. To reduce uncertainties on esti- gions/provinces and conditions, respectively; ADS,R,C.t/ is mates of Chinese methane emissions, it is therefore of partic- the activity data in the year t; and EFS,R,C.t/ is the emis- ular importance to build a long-term consistent annual inven- sion factor in the year t for sector S, region R and condi- tory of CH4 emissions for each source sector based on local tion C.
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