Evaluation of atmospheric methane concentrations and growth trends in selected locations of Rivers State, Nigeria DOI Creative Commons

Onwusameka Sonny Ogbowuokara,

T. G. Leton,

John N. Ugbebor

et al.

The Journal of Engineering and Exact Sciences, Journal Year: 2023, Volume and Issue: 9(11), P. 17488 - 17488

Published: Dec. 31, 2023

The study addresses the increasing atmospheric methane mixing ratios in Rivers State, Nigeria, a pressing issue linked to global warming. objective was analyze growth rate and sources of emissions region. Using quantitative approach, ground-level measurements were collected from seven different locations between September 2021 June 2022, complemented by data Tropospheric Monitoring Instrument satellite spanning January 2019 2022. methodology combined descriptive, comparative, regression analyses with plume chemistry modeling using U.S. EPA Atmospheric Dispersion Modeling System software. Results indicated significant spatial variance concentrations, ranging 9.76 ppm Ogbogu 21.5 Choba, notable temporal fluctuations. Regression analysis revealed correlation conditions levels, while identified landfill near Choba market as major emission source, raising concerns about tropospheric ozone pollution health risks. highlights need for effective waste management State emphasizes importance continuous monitoring address challenges posed pollution.

Language: Английский

Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020 DOI Creative Commons
Naveen Chandra, Prabir K. Patra, Ryo Fujita

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: April 17, 2024

Abstract Methane (CH 4 ) emission reduction to limit warming 1.5 °C can be tracked by analyzing CH concentration and its isotopic composition ( δ 13 C, D) simultaneously. Based on reconstructions of the temporal trends, latitudinal, vertical gradient C from 1985 2020 using an atmospheric chemistry transport model, we show (1) reductions oil gas exploitation (ONG) since 1990s stabilized growth rate in late early 2000s, (2) emissions farmed animals, waste management, coal mining contributed increase 2006. Our findings support neither increasing ONG reported EDGARv6 inventory during 1990–2020 nor large unconventional GAINSv4 Total fossil fuel remained stable 2000 2020, most likely because decrease some regions offset China.

Language: Английский

Citations

11
Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations DOI Creative Commons
Rajesh Janardanan, Shamil Maksyutov, Fenjuan Wang

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(3), P. 034007 - 034007

Published: Feb. 15, 2024

Abstract Considering the significant role of global methane emissions in Earth’s radiative budget, or regionally persistent increasing trends its emission are great concern. Understanding regional contributions various sectors to growth rate thus has policy relevance. We used a high-resolution inverse model independently optimize sectoral using GOSAT and ground-based observations for 2009–2020. Annual were calculated top-emitting countries, total anthropogenic trend studied. Global posterior show 2.6 Tg yr −2 ( p < 0.05), with from waste (1.1 ) agriculture (0.9 ). Country-level aggregated showed statistically 0.1) China (0.56 ), India (0.22 United States (0.65 Pakistan Indonesia (0.28 among top emitters. Emission contributing above country-level are, (waste 0.35; oil gas 0.07 (agriculture 0.09; 0.11 (oil 1.0; 0.07; coal −0.15 Brazil 0.08 Russia 0.04; biomass burning 0.15; 0.11; −0.42 (coal 0.28 Canada 0.03 Mexico 0.04 Additionally, our analysis that wetlands (0.24 central African countries such as Congo (0.09 etc. have positive considerably large increase after 2017, whereas Bolivia (−0.09 declining trend. Our results reveal some key be targeted on national level designing mitigation efforts.

Language: Английский

Citations

10
Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge DOI Creative Commons
Zhen Qu, Daniel J. Jacob, A. Anthony Bloom

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(40)

Published: Sept. 24, 2024

Atmospheric methane concentrations rose rapidly over the past decade and surged in 2020–2022 but causes have been unclear. We find from inverse analysis of GOSAT satellite observations that emissions wet tropics drove 2010–2019 increase subsequent surge, while northern mid-latitudes decreased. The surge is principally contributed by Equatorial Asia (43%) Africa (30%). Wetlands are major drivers emission increases because tropical inundation associated with La Niña conditions, consistent trends GRACE terrestrial water storage data. In contrast, anthropogenic emitters such as United States, Russia, China relatively flat 2010–2022. Concentrations tropospheric OH (the main sink) show no long-term trend 2010–2022 a decrease to surge.

Language: Английский

Citations

9
Inverse modeling of satellite observations shows that the wet tropics drive the 2010-2022 methane increase DOI Creative Commons
Zhen Qu, Daniel J. Jacob, A. Anthony Bloom

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 4, 2024

Atmospheric methane concentrations rose rapidly over the past decade and surged in 2020-2022 but causes are unclear. We find from inverse analysis of GOSAT satellite observations that global emissions increased 500 to 550 Tg a-1 2010 2019 570-590 2020-2022. Concentrations tropospheric OH (the main sink) show no long-term trend 2010-2019, a decrease explains 28% surge. The emission increase 2010-2022 is mainly wet tropics with dominant anthropogenic wetland contributions Africa (43% increase), South America (18%), Equatorial Asia India Pakistan (12%). Emissions US Russia decreased slightly period. surge consistent terrestrial water storage due tropical inundation associated La Niña conditions.

Language: Английский

Citations

6
Breakthroughs in CH4 capture technologies: Key to reducing fugitive methane emissions in the energy sector DOI Creative Commons

Wenkang Deng,

Xiaofeng Xie, Yalou Guo

et al.

Carbon Capture Science & Technology, Journal Year: 2024, Volume and Issue: 13, P. 100316 - 100316

Published: Nov. 5, 2024

Language: Английский

Citations

5
Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates DOI Creative Commons
Maria Tenkanen, Aki Tsuruta, Hugo Denier van der Gon

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(4), P. 2181 - 2206

Published: Feb. 19, 2025

Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated the ability of a global atmospheric inverse model CarbonTracker Europe – to estimate within single country. focused on how different priors their uncertainties affect optimised showed that anthropogenic natural were strongly dependent prior emissions. However, while range was large, more constrained than estimates. Further analysis optimisation aligned trends improved modelled seasonal cycles Comparison observations with results no clear preference between inventories (EDGAR v6 CAMS-REG), but highest (JSBACH–HIMMELI) agreed best observations, suggesting process-based models may underestimate peatlands or unaccounted sources such as freshwater Additionally, an uncertainty based ensemble seemed be advantageous compared standard definition. The average total posterior one similar including priors. Thus, can used reliably when is unavailable.

Language: Английский

Citations

0
Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions DOI Creative Commons
Yilong Wang, Yuzhong Zhang,

Xiangjun Tian

et al.

National Science Review, Journal Year: 2025, Volume and Issue: 12(4)

Published: March 7, 2025

This paper reviews the application of atmospheric inversions for estimating national CO₂ and CH₄ fluxes with a focus on China. After describing fundamental principles methodologies technique, we synthesize recent progress in China's budgets through inversion, compare these estimates greenhouse gas (GHG) inventory (NGHGI) reports. The inverted total CO2 CH4 emissions amount to 8.35 ± 1.39 Pg a-1 60.8 5.9 Tg a-1, respectively, last decade, which are general consistent NGHGIs. However, large uncertainties spatial temporal disaggregation hinder effectiveness method verifying GHG improving NGHGI estimates. These largely driven by differences inversion models, observational coverage methodological assumptions. We recommend networks, conducting model intercomparison exercises refining methods better support reporting future climate goals.

Language: Английский

Citations

0
Ten new insights in climate science 2024 DOI Creative Commons

Roberto Schaeffer,

E. Lisa F. Schipper, Daniel Ospina

et al.

One Earth, Journal Year: 2025, Volume and Issue: unknown, P. 101285 - 101285

Published: May 1, 2025

Language: Английский

Citations

0
Methane sink of subterranean space in an integrated atmosphere-soil-cave system DOI

Guangneng Zeng,

Wangbiao Lu, Yanwei Wang

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118904 - 118904

Published: April 16, 2024

Language: Английский

Citations

0
Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates DOI Creative Commons
Maria Tenkanen, Aki Tsuruta, Hugo Denier van der Gon

et al.

Published: July 29, 2024

Abstract. Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study investigated Finnish CH4 emissions from 2000–2021 using bottom-up and top-down approaches. We evaluated a global atmospheric inversion model’s ability to estimate within single country, focusing on how the choice of priors uncertainties affected optimised emissions. The anthropogenic natural strongly depended prior While range was large, were more constrained than estimates. Further analysis CarbonTracker Europe - results showed that optimisation aligned trends improved modelled seasonal cycles Comparison observations with model no clear preference between inventories (EDGAR v6 CAMS-REG), but largest (JSBACH-HIMMELI) best agreed observations, suggesting process-based models may underestimate peatlands or unaccounted sources such as freshwater Additionally, process-model spread-based uncertainty seemed advantageous compared standard constant estimate. average total posterior ensemble one different similar including priors. Thus, can be used reliably when an is unavailable.

Language: Английский

Citations

0