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Du Q, Li B, Ma M, Yao B, Fang X. Estimate Gaps of Montreal Protocol-Regulated Potent Greenhouse Gas HFC-152a Emissions in China Have Been Explained. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5750-5759. [PMID: 38506744 DOI: 10.1021/acs.est.3c09516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
1,1-Difluoroethane (HFC-152a) is a hydrofluorocarbon regulated by the Montreal Protocol, and its emissions in China are of concern as China will regulate HFC-152a in 2024. However, no observation-inferred top-down estimates were undertaken after 2017, and substantial gaps existed among previous estimates of China's HFC-152a emissions. Using the atmospheric observations and inverse modeling, this study reveals China's HFC-152a emissions of 9.4 ± 1.7 Gg/yr (gigagrams per year), 10.6 ± 1.8 Gg/yr, and 9.7 ± 1.5 Gg/yr in 2018, 2019, and 2020, respectively. In addition, we display an overall increasing trend during 2011-2020, which is in contrast to the decreasing and steady trend reported by the Emission Database for Global Atmospheric Research (EDGAR) and the Chinese government, respectively. Subsequently, we establish a comprehensive bottom-up emission inventory matching with top-down estimates and thus succeed in explaining the gaps among previous estimates. Furthermore, the contribution of China's emissions to global HFC-152a emission growth increased from 15% during 2001-2010 to >100% during 2011-2020. An emission projection based on our improved inventory shows that the Kigali Amendment (KA) would assist in avoiding 1535.6-4710.6 Gg (251.8-772.5 Tg CO2-eq) HFC-152a emissions during 2024-2100. Our findings indicate relatively accurate China's HFC-152a emissions and provide scientific support for addressing climate change and implementing the KA.
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Affiliation(s)
- Qianna Du
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Bowei Li
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Mengyue Ma
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Bo Yao
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, P. R. China
- Meteorological Observation Centre of China Meteorological Administration (MOC/CMA), Beijing 100081, P. R. China
| | - Xuekun Fang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
- Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, P. R. China
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Liu S, Fang S, Liang M, Ma Q, Feng Z. Study on CO data filtering approaches based on observations at two background stations in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 691:675-684. [PMID: 31325866 DOI: 10.1016/j.scitotenv.2019.07.162] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 07/07/2019] [Accepted: 07/11/2019] [Indexed: 06/10/2023]
Abstract
The identification of regional representative carbon monoxide (CO) measurements that are minimally influenced by local sources/sinks is essential to understand the characteristics of atmospheric CO over a certain region. In this study, three commonly used data filtering approaches were applied to atmospheric CO data obtained from 2010/2011 to 2017 at two World Meteorological Administration/Global Atmospheric Programme (WMO/GAW) regional stations (Lin'an, LAN and Shangdianzi, SDZ) in China, to study their applicability for individual stations. The three methods used were the meteorological conditions (MET), statistical approaches (robust extraction of baseline signal, REBS), and the time scale of the CO variations (standard deviations of the running mean, SDM). The results from the three methods displayed almost the same seasonal cycles at LAN but different variations at SDZ. They each extracted similar yearly CO growth rates at LAN, but there was a large difference at SDZ, with values of -10.6 ± 0.5, -2.2 ± 0.1, and - 23.5 ± 0.3 ppb yr-1 for MET, REBS, and SDM, respectively. The slight decrease observed using REBS at SDZ was mainly due to the biased distribution of CO records, which was a purely statistical method that did not consider topography or meteorological conditions. Thus, the REBS method should be applied cautiously to CO observations at stations like SDZ. The SDM method may overestimate multi-year trends. Among the three approaches, MET may be the most suitable for filtering CO observation records, especially at stations like SDZ with special geographical and meteorological conditions in economically-developed regions.
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Affiliation(s)
- Shuo Liu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuangxi Fang
- Meteorological Observation Centre (MOC), China Meteorological Administration (CMA), Beijing 100081, China.
| | - Miao Liang
- Meteorological Observation Centre (MOC), China Meteorological Administration (CMA), Beijing 100081, China
| | - Qianli Ma
- Lin'an Regional Background Station, China Meteorological Administration, Zhejiang 314016, China
| | - Zhaozhong Feng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
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Thirty Years of Atmospheric CO2 Observations at the Plateau Rosa Station, Italy. ATMOSPHERE 2019. [DOI: 10.3390/atmos10070418] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The atmospheric background CO2 concentration is a key quantity for the analysis and evaluation of the ongoing climate change. Long-term CO2 observations have been carried out at the high Plateau Rosa mountain station, in the north-western Alps since 1989. The complete time series covers thirty years, and it is suitable for climatological analysis. The continuous CO2 measurements, collected since 1993, were selected, by means of a BaDS (Background Data Selection) filter, to obtain the hourly background data. The monthly background data series was analysed in order to individuate the parameters that characterise the seasonal cycle and the long-term trend. The growth rate was found to be 2.05 ± 0.03 ppm/year, which is in agreement with the global trend. The increased background CO2 concentration at the Plateau Rosa site is the consequence of global anthropic emissions, whereas the natural variability of the climatic system taken from the SOI (South Oscillation Index) and MEI (Multivariate ENSO Index) signals was detected in the inter-annual changes of the Plateau Rosa growth rate.
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Lu L, Chen B, Guo L, Zhang H, Li Y. A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations-a case study of Xuzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:8748-8757. [PMID: 30712203 DOI: 10.1007/s11356-019-04246-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 01/14/2019] [Indexed: 06/09/2023]
Abstract
Carbon monoxide (CO) emission inventory data are crucial for air quality control. However, the emission inventories are labor-intensive and time-consuming and generally have large uncertainties. In this study, we developed a new regional data assimilation system (TracersTracker) for estimating the surface CO emission flux from continuous mixing ratio observations using the proper orthogonal decomposition (POD)-based four-dimensional variational (4D-VAR) data assimilation method (POD-4DVar) and a coupled regional model (Weather Research and Forecasting model (WRF) with the Models-3 Community Multi-scale Air Quality (CMAQ) model). This system was applied to estimate CO emissions in Xuzhou city, China. An experiment was conducted with the continuous hourly surface CO mixing ratio observations from 21 monitoring towers in January and July of 2016. The experimental results of the system were examined and compared with the continuous surface CO observations (a priori emission). We found that the retrieved CO emission fluxes were higher than the a priori emission and were mainly distributed in urban and industrial areas, which were 104% higher in January (winter) and 44% higher in July (summer).
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Affiliation(s)
- Lijiang Lu
- School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou, 221116, China
| | - Baozhang Chen
- School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou, 221116, China.
- Chinese Academy of Sciences, Institute of Geographic Sciences & Nature Resources Research, Beijing, 100101, China.
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China.
| | - Lifeng Guo
- Chinese Academy of Sciences, Institute of Geographic Sciences & Nature Resources Research, Beijing, 100101, China
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China
| | - Huifang Zhang
- Chinese Academy of Sciences, Institute of Geographic Sciences & Nature Resources Research, Beijing, 100101, China
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China
| | - Yanpeng Li
- School of Environment Science and Spatial Information, China University of Mining and Technology, Xuzhou, 221116, China
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Maione M, Giostra U, Arduini J, Furlani F, Graziosi F, Lo Vullo E, Bonasoni P. Ten years of continuous observations of stratospheric ozone depleting gases at Monte Cimone (Italy)--comments on the effectiveness of the Montreal Protocol from a regional perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2013; 445-446:155-64. [PMID: 23333511 DOI: 10.1016/j.scitotenv.2012.12.056] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Revised: 10/29/2012] [Accepted: 12/13/2012] [Indexed: 05/11/2023]
Abstract
Halogenated gases potentially harmful to the stratospheric ozone layer are monitored worldwide in order to assess compliance with the Montreal Protocol requiring a phase out of these compounds on a global scale. We present the results of long term (2002-2011) continuous observation conducted at the Mt. Cimone GAW Global Station located on the highest peak of the Italian Northern Apennines, at the border of two important regions: the Po Valley (and the Alps) to the North and the Mediterranean Basin to the South. Bi-hourly air samples of CFC-12, CFC-11, CFC-114, CFC-115, H-1211, H-1301, methyl chloroform, carbon tetrachloride, HCFC-22, HCFC-142b, HCFC-124 and methyl bromide are collected and analysed using a gas chromatograph-mass spectrometer, providing multi annual time series. In order to appreciate the effectiveness of the Montreal Protocol from a regional perspective, trends and annual growth rates of halogenated species have been calculated after identification of their baseline values. A comparison with results from other international observation programmes is also presented. Our data show that the peak in the atmospheric mixing ratios of four chlorofluorocarbons, two halons and two chlorocarbons has been reached and all these species now show a negative atmospheric trend. Pollution episodes are still occurring for species like halon-1211, methyl chloroform and carbon tetrachloride, indicating fresh emissions from the site domain which could be ascribed both to fugitive un-reported uses of the compounds and/or emissions from banks. For the hydrofluorocarbons changes in the baseline are affected by emissions from fast developing Countries in East Asia. Fresh emissions from the site domain are clearly declining. Methyl bromide, for which the Mediterranean area is an important source region, shows, in a generally decreasing trend, an emission pattern that is not consistent with the phase-out schedule of this compound, with a renewed increase in the last two years of pollution episodes.
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Affiliation(s)
- M Maione
- Department of Basic Sciences (DiSBeF), Università degli Studi di Urbino Carlo Bo, Chemical Sciences Section, Piazza Rinascimento 6, 61029, Urbino, Italy.
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O'Doherty S, Cunnold DM, Miller BR, Mühle J, McCulloch A, Simmonds PG, Manning AJ, Reimann S, Vollmer MK, Greally BR, Prinn RG, Fraser PJ, Steele LP, Krummel PB, Dunse BL, Porter LW, Lunder CR, Schmidbauer N, Hermansen O, Salameh PK, Harth CM, Wang RHJ, Weiss RF. Global and regional emissions of HFC-125 (CHF2CF3) from in situ and air archive atmospheric observations at AGAGE and SOGE observatories. ACTA ACUST UNITED AC 2009. [DOI: 10.1029/2009jd012184] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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High resolution synchrotron FTIR spectroscopy of the far infrared ν10 and ν11 bands of R152a (CH3CHF2). Chem Phys Lett 2008. [DOI: 10.1016/j.cplett.2008.10.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Folini D, Ubl S, Kaufmann P. Lagrangian particle dispersion modeling for the high Alpine site Jungfraujoch. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jd009558] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Reimann S, Vollmer MK, Folini D, Steinbacher M, Hill M, Buchmann B, Zander R, Mahieu E. Observations of long-lived anthropogenic halocarbons at the high-Alpine site of Jungfraujoch (Switzerland) for assessment of trends and European sources. THE SCIENCE OF THE TOTAL ENVIRONMENT 2008; 391:224-231. [PMID: 18036636 DOI: 10.1016/j.scitotenv.2007.10.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Anthropogenic halocarbons, such as chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs), bromocarbons (halons) and long-lived chlorinated solvents have been measured continuously at the high-Alpine site of Jungfraujoch (Switzerland) since January 2000. Chloro- and bromo-containing halocarbons are responsible for the stratospheric ozone depletion and will be globally banned from usage within the next years. With the exception of the stable CFC-12 (CF2 Cl2), all major CFCs and chlorinated solvents show a negative trend in recent years in their background concentrations at Jungfraujoch. HCFCs, as their first-generation substitute, are still increasing with a few percent per year. However, the frequency and the strength of HCFCs pollution events, which are caused by regional European emissions, are already declining. This can be seen as a sign of the impending ban of these gases within the next years in Europe. On the other hand, HFCs as the second-generation substitutes, are increasing with relative rates of at least 10% per year (e.g. almost 5 ppt per year for HFC-134a). An allocation of European sources was attempted by combining measured concentrations with trajectories of air masses reaching the Jungfraujoch during pollution events. Potential source regions could be detected in Italy, France, Spain and Germany.
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Affiliation(s)
- S Reimann
- Empa, Laboratory for Air Pollution/Environmental Technology, Ueberlandstrasse 129, CH-8600 Duebendorf, Switzerland.
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Maione M, Giostra U, Arduini J, Belfiore L, Furlani F, Geniali A, Mangani G, Vollmer MK, Reimann S. Localization of source regions of selected hydrofluorocarbons combining data collected at two European mountain stations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2008; 391:232-240. [PMID: 18054996 DOI: 10.1016/j.scitotenv.2007.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Ground-based in situ measurements of hydrofluorocarbons HFC-125, HFC-134a, and HFC-152a, which are regulated under the Kyoto Protocol, are carried out at four European sites within the SOGE (System of Observation of Halogenated Greenhouse Gases in Europe) program. Concentrations measured at the high mountain stations of Jungfraujoch (Switzerland) and Mte Cimone (Italy) together with back-trajectory statistical analysis are used in order to identify potential source regions on a European scale. Combining concentration data recorded at the two sites allows to reduce one of the problem which is inherent to the back-trajectory approach, i.e. the localisation of "ghost" sources in the wake of real sources. In this way, a more reliable picture of the location of European potential source regions is given.
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Affiliation(s)
- M Maione
- Institute of Chemical Sciences, University of Urbino, Piazza Rinascimento 6, 61029 Urbino, Italy.
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Miller BR, Weiss RF, Salameh PK, Tanhua T, Greally BR, Mühle J, Simmonds PG. Medusa: A Sample Preconcentration and GC/MS Detector System for in Situ Measurements of Atmospheric Trace Halocarbons, Hydrocarbons, and Sulfur Compounds. Anal Chem 2008; 80:1536-45. [DOI: 10.1021/ac702084k] [Citation(s) in RCA: 205] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Benjamin R. Miller
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Ray F. Weiss
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Peter K. Salameh
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Toste Tanhua
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Brian R. Greally
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Jens Mühle
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
| | - Peter G. Simmonds
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, Leibniz-Institut für
Meereswissenschaften, Marine Biogeochemie, Düsternbrooker Weg 20, D-241 05 Kiel, Germany, and School of Chemistry,
University of Bristol, Bristol, BS8 1TS, U.K
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