Open Access
Issue
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
Article Number 02033
Number of page(s) 7
Section Carbon Emission Control and Waste Resource Utilization
DOI https://doi.org/10.1051/e3sconf/202452002033
Published online 03 May 2024
  1. Liu, J., Kuang, W., Zhang, Z., et al. (2014) Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. J. Geogr. Sci., 24: 195–210. [CrossRef] [Google Scholar]
  2. Yu, X., Chen, N., Li, M. (2020) Research on carbon emission characteristics and reduction pathways of low-carbon pilot cities in China. Chinese J. Popul. Resour. Environ., 30(07): 1–9. [Google Scholar]
  3. Xu, H. (2009) Quantitative analysis on the relationship of urban impervious surface with other components of the urban ecosystem. Acta Ecol. Sin., 29(5): 2456–2462. [Google Scholar]
  4. Xu, H., Wang, M. (2016) Remote sensing-based retrieval of ground impervious surfaces. J. Remote Sens., 20(5): 1270–1289. [Google Scholar]
  5. Powell, R., Roberts, D., Dennison, P., et al. (2007) Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil. Remote Sens. Environ., 106(2): 253–267. [CrossRef] [Google Scholar]
  6. Bauer, M., Loffelholz, B., Wilson, B. (2007) Estimating and mapping impervious surface area by regression analysis of Landsat imagery. Remote sensing of impervious surfaces, Boca Raton. pp. 31–48. [Google Scholar]
  7. OECD (2002) Indicators to Measure Decoupling of Environmental Pressure from Economic Growth. OECD, Paris. [Google Scholar]
  8. Liu, H., Yang, Q., Zhang, Y. (2016) Urbanization ecological environment effect in Northeast China based on decoupling analysis. Sci. Geogr. Sin., 36(12): 1860–1869. [Google Scholar]
  9. Wang, Q., Zhang, R. (2019) Is China’s economic growth decoupled from carbon emissions? J. Cleaner Prod., 225: 1194–1208. [CrossRef] [Google Scholar]
  10. Peng, H., Guo, L., Zhang, J., et al. (2020) Research progress and implication of the relationship between regional economic growth and resource— Environmental pressure. Resour. Sci., 42(4): 593–606. [Google Scholar]
  11. Li, Z., Zhong, J., Sun, Z., et al. (2017) Spatial Pattern of Carbon Sequestration and Urban Sustainability: Analysis of Land-Use and Carbon Emission in Guang’an, China. Sustainability, 9(11): 1951. [PubMed] [Google Scholar]
  12. Carpio A., Ponce-Lopez R., Lozano-Garcia D.F. (2021) Urban form, land use, and cover change and their impact on carbon emissions in the Monterrey Metropolitan area, Mexico. Urban Clim., 39:100947. [CrossRef] [Google Scholar]
  13. Zheng, S., Huang, Y., Sun, Y. (2022) Effects of Urban Form on Carbon Emissions in China: Implications for Low-Carbon Urban Planning. Land, 11(8): 1343. [CrossRef] [Google Scholar]
  14. Deng, C., Wu, C. (2012) BCI: A biophysical composition index for remote sensing of urban environments. Remote Sens. Environ., 127(5): 247–259. [CrossRef] [Google Scholar]
  15. Zhang, L., Weng, Q. (2016) Annual dynamics of impervious surface in the Pearl River Delta, China, from 1988 to 2013, using time series Landsat imagery. ISPRS J. Photogramm. Remote Sens., 113: 86–96. [CrossRef] [Google Scholar]
  16. Feng, M., Sexton, J.O., Channan, S., et al. (2016) A global, high-resolution (30-m) inland water body dataset for 2000: First results of a topographic- spectral classification algorithm. Int. J. Digital Earth, 9(2): 113–133. [CrossRef] [Google Scholar]
  17. Tapio, P. (2005) Towards a Theory of Decoupling: Degrees of Decoupling in the EU and the Case of Road Traffic in Finland Between 1970 and 2001. J. Transp. Policy, 12: 137–151. [CrossRef] [Google Scholar]
  18. Li, Y., Gao, X., Yao, S., et al. (2022) Decoupling Relationship Between Carbon Balance Pressure and New Urbanization in the Core Area of the Yangtze River Delta Urban Agglomeration, China. Econ. Geogr., 42(12): 72–81. [Google Scholar]
  19. Li, Z., Liu, S. (2019) Prediction Comparison Based on ARIMA Model, Grey Model and Regression Mode. Stat. Decis., 35(23): 38–41. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.