Page 66 - Read Online

Page 18 of 19 Wang et al. Carbon Footprints 2024;3:14 https://dx.doi.org/10.20517/cf.2024.19

7. Wang Y, Guo CH, Chen XJ, et al. Carbon peak and carbon neutrality in China: goals, implementation path and prospects. China
Geol 2021;4:720-46. DOI
8. Xi JP. Building on past achievements and launching a new journey for global climate actions. 2020. DOI
9. Cai B, Lu J, Wang J, et al. A benchmark city-level carbon dioxide emission inventory for China in 2005. Appl Energy 2019;233-4:659-
73. DOI
10. Reckien D, Flacke J, Dawson RJ, et al. Climate change response in Europe: what’s the reality? Analysis of adaptation and mitigation
plans from 200 urban areas in 11 countries. Clim Chang 2014;122:331-40. DOI
11. Heidrich O, Dawson RJ, Reckien D, Walsh CL. Assessment of the climate preparedness of 30 urban areas in the UK. Clim Chang
2013;120:771-84. DOI
12. Yang X, Wang XC, Zhou ZY. Development path of Chinese low-carbon cities based on index evaluation. Adv Clim Chang Res
2018;9:144-53. DOI
13. Wang WZ, Liu LC, Liao H, Wei YM. Impacts of urbanization on carbon emissions: an empirical analysis from OECD countries.
Energy Policy 2021;151:112171. DOI
14. Wei T, Wu J, Chen S. Keeping track of greenhouse gas emission reduction progress and targets in 167 cities worldwide. Front Sustain
Cities 2021;3:696381. DOI
15. Rosenzweig C, Solecki W, Hammer SA, Mehrotra S. Cities lead the way in climate-change action. Nature 2010;467:909-11. DOI
PubMed
16. Dhakal S. Urban energy use and carbon emissions from cities in China and policy implications. Energy Policy 2009;37:4208-19. DOI
17. Zhu XH, Lu KF, Peng ZR, He HD, Xu SQ. Spatiotemporal variations of carbon dioxide (CO ) at urban neighborhood scale:
2
characterization of distribution patterns and contributions of emission sources. Sustain Cities Soc 2022;78:103646. DOI
18. Zhang M, Tan S, Zhang C, Chen E. Machine learning in modelling the urban thermal field variance index and assessing the impacts of
urban land expansion on seasonal thermal environment. Sustain Cities Soc 2024;106:105345. DOI
19. Wang R, Gao W, Zhou N, Kammen DM, Peng W. Urban structure and its implication of heat stress by using remote sensing and
simulation tool. Sustain Cities Soc 2021;65:102632. DOI
20. Zhang M, Zhang Z, Tong B, Ren B, Zhang L, Lin X. Analysis of the coupling characteristics of land transfer and carbon emissions and
its influencing factors: a case study of China. Front Environ Sci 2023;10:1105552. DOI
21. Fang G, Gao Z, Tian L, Fu M. What drives urban carbon emission efficiency? - Spatial analysis based on nighttime light data. Appl
Energy 2022;312:118772. DOI
22. Xu J, Wang J, Li R, Yang X. Spatio-temporal effects of urbanization on CO emissions: evidences from 268 Chinese cities. Energy
2
Policy 2023;177:113569. DOI
23. He X, Guan D, Yang X, Zhou L, Gao W. Quantifying the trends and affecting factors of CO emissions under different urban
2
development patterns: an econometric study on the Yangtze river economic belt in China. Sustain Cities Soc 2024;107:105443. DOI
24. Huang Y, Ou J, Deng Z, Zhou W, Liang Y, Huang X. Peak patterns and drivers of city-level daily CO emissions in China. J Clean
2
Prod 2024;469:143206. DOI
25. Scarpelli TR, Jacob DJ, Grossman S, et al. Updated global fuel exploitation inventory (GFEI) for methane emissions from the oil, gas,
and coal sectors: evaluation with inversions of atmospheric methane observations. Atmos Chem Phys 2022;22:3235-49. DOI
26. Crippa M, Guizzardi D, Schaaf E, et al; Joint Research Centre (European Commission). GHG emissions of all world countries.
Publications Office of the European Union; 2023. DOI
27. Janssens-Maenhout G, Crippa M, Guizzardi D, et al. EDGAR v4.3.2 global atlas of the three major greenhouse gas emissions for the
period 1970-2012. Earth Syst Sci Data 2019;11:959-1002. DOI
28. Crippa M, Solazzo E, Huang G, et al. High resolution temporal profiles in the emissions database for global atmospheric research. Sci
Data 2020;7:121. DOI PubMed PMC
29. Scarpelli TR, Jacob DJ, Octaviano Villasana CA, et al. A gridded inventory of anthropogenic methane emissions from Mexico based
on Mexico’s national inventory of greenhouse gases and compounds. Environ Res Lett 2020;15:105015. DOI
30. Hu C, Griffis TJ, Xia L, et al. Anthropogenic CO emission reduction during the COVID-19 pandemic in Nanchang City, China.
2
Environ Pollut 2022;309:119767. DOI PubMed PMC
31. Maasakkers JD, Jacob DJ, Sulprizio MP, et al. Global distribution of methane emissions, emission trends, and OH concentrations and
trends inferred from an inversion of GOSAT satellite data for 2010-2015. Atmos Chem Phys 2019;19:7859-81. DOI
32. Lyon DR, Zavala-Araiza D, Alvarez RA, et al. Constructing a spatially resolved methane emission inventory for the barnett shale
region. Environ Sci Technol 2015;49:8147-57. DOI
33. Lauvaux T, Miles NL, Deng A, et al. High-resolution atmospheric inversion of urban CO emissions during the dormant season of the
2
Indianapolis Flux Experiment (INFLUX). J Geophys Res Atmos 2016;121:5213-36. DOI PubMed PMC
34. Turner AJ, Shusterman AA, Mcdonald BC, Teige V, Harley RA, Cohen RC. Network design for quantifying urban CO emissions:
2
assessing trade-offs between precision and network density. Atmos Chem Phys 2016;16:13465-75. DOI
35. Xu YQ, Luo YL, Fu GY, et al. Status of developing high-precision greenhouse gas emission inventory in China. Environ Monit China
2023;39:52-9. DOI
36. Sun S, Sun L, Liu G, et al. Developing a vehicle emission inventory with high temporal-spatial resolution in Tianjin, China. Sci Total
Environ 2021;776:145873. DOI
37. Li Y, Lv C, Yang N, Liu H, Liu Z. A study of high temporal-spatial resolution greenhouse gas emissions inventory for on-road