Open Access
Issue
E3S Web of Conf.
Volume 536, 2024
2024 6th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2024)
Article Number 01013
Number of page(s) 8
Section Environmental Planning Management and Ecological Construction
DOI https://doi.org/10.1051/e3sconf/202453601013
Published online 10 June 2024
  1. Peng, S., Wang, J., & Ye, G. (2019). Study on population development and carrying capacity of water resources and land resources in China—— Taking the next 10 years as an example. IOP Conference Series: Materials Science and Engineering, 562(1), 012106. https://doi.org/10.1088/1757-899x/562/1/012106. [CrossRef] [Google Scholar]
  2. Shi, Y., Shi, S., & Wang, H. (2019). Reconsideration of the methodology for estimation of land population carrying capacity in Shanghai metropolis. Science of the Total Environment, 652, 367–381. https://doi.org/10.1016/j.scitotenv.2018.10.210. [CrossRef] [Google Scholar]
  3. Zhang, L., Li, W., & Streimikiene, D. . (2020). Measurement of population carrying capacity based on a p–s model: a case study of zhejiang province. The AMFITEATRU ECONOMIC journal, 22. [Google Scholar]
  4. Zhao, Q., Gao, Q., Zhu, M., & Li, X. (2018). Evaluation of water resources carrying capacity in Shandong Province based on Fuzzy Comprehensive Evaluation. E3S Web of Conferences, 38, 01012. https://doi.org/10.1051/e3sconf/20183801012. [CrossRef] [EDP Sciences] [Google Scholar]
  5. Torre, D. L., Liuzzi, D., & Marsiglio, S. . (2019). Population and geography do matter for sustainable development. ENVIRONMENT AND DEVELOPMENT ECONOMICS. [Google Scholar]
  6. Kin, C.S., Ut, I.M., Hang,L., Hou,U.I., Weng, N. K., & Ha, U. S., et al. (2019). Predicting earth’s carrying capacity of human population as the predator and the natural resources as the prey in the modified lotka-volterra equations with time-dependent parameters. [Google Scholar]
  7. Faiz, S. A., & Komalasari, R. (2020). The assessment of tourism carrying capacity in Lombok Island. IOP Conference Series: Earth and Environmental Science, 592(1), 012002. https://doi.org/10.1088/17551315/592/1/012002. [CrossRef] [Google Scholar]
  8. Xu, Y., Li, Y., Zhang, C., & Zhu, J. (2022). Comprehensive evaluation of water ecological environment in watersheds: a case study of the Yangtze River Economic Belt, China. Research Square (Research Square). https://doi.org/10.21203/rs.3.rs-1551667/v1. [Google Scholar]
  9. Jin-Long, Y. U., Liang, Y., Guang-Qiang, B., Bin, L. I., Wei-Dong, B., & Xiao-Cong, Q. . (2017). Research on water environmental carrying capacity of tenggeli lake based on bp neural networks. China Rural Water and Hydropower. [Google Scholar]
  10. Qing, H., Zhiming, F., Yanzhao, Y., Zhen, Y., Ping, C., & Ling, D. . (2019). Study of the population carrying capacity of water and land in hainan province. Journal of Resources and Ecology. [Google Scholar]
  11. Morshed, S.R., Esraz-Ul-Zannat, M., Fattah, M.A., & Saroar, M. (2024). Assessment of the future environmental carrying capacity using machine learning algorithms. Ecological Indicators. [Google Scholar]
  12. Hao, S., & Lian, L. (2022). An early warning mechanism for the environmental carrying capacity of forest tourist attractions and hotels online operations based on big data integration technology. 2022 International Conference on Inventive Computation Technologies (ICICT). https://doi.org/10.1109/icict54344.2022.9850648. [Google Scholar]
  13. Zhou, K., Zhou, F., Chen, L., Li, H., Wang, H., & Li, J. (2024). Alleviating environmental pressure from livestock production: A “livestock-resource environmental carrying capacity” perspective in China. Ecological Indicators. [Google Scholar]
  14. Li, M. A. . (2018). Population carrying capacity of land resources in baoji city. Guizhou Agricultural Sciences. [Google Scholar]

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