Open Access
Issue
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
Article Number 04015
Number of page(s) 4
Section Geographic Remote Sensing Application and Environmental Modeling
DOI https://doi.org/10.1051/e3sconf/202340604015
Published online 31 July 2023
  1. Guan, Y.L., Lu, H.W., Jiang, Y.L., Tian, P.P., Qiu, L.H., Petri, P. and Heiskanen, J. (2021) Changes in global climate heterogeneity under the 21st century global warming. Ecological Indicators,130: 110–122. https://doi.org/10.1016/j.ecolind.2021.108075. [CrossRef] [Google Scholar]
  2. Li, Y., Ye, D.X., Gao, G., Mei, M., Wang, Y.M., Wang, G.F., Wang, L. and Cui, T. (2022) Climatic characteristics and Major weather and climatic events over China in the summer of 2022. Transactions of Atmospheric Sciences, 46: 110–118. http://kns.cnki.net/kcms/detail/32.1803.P.20221220.0817.001.html. [Google Scholar]
  3. Guo, N.J., Ren, Y.J. and Tang, X.L. (2019) The temporal and spatial evolution of natural disasters in China. Geojournal, 84: 1515–1530. https://doi.org/10.1007/s10708-018-9934-8. [CrossRef] [Google Scholar]
  4. Hong, X.J., Guo, S.L., Xiong, L.H. and Liu, Z.J. (2015) Spatial and temporal analysis of drought using entropy-based standardized precipitation index: a case study in Poyang Lake basin, China. Theoretical and Applied Climatology, 122: 543–556. https://doi.org/10.1007/s00704-014-1312-y. [CrossRef] [Google Scholar]
  5. Statistics Bureau of Qinghai Province. (2023) Qinghai statistical yearbook 2022. China Statistics Press, Beijing. [Google Scholar]
  6. Peng, Y. (2022) Remote Sensing Approaches for Meteorological Disaster Monitoring: Recent Achievements and New Challenges. International Journal of Environmental Research and Public Health. 19: 132–145. https://doi.org/10.3390/ijerph19063701. [Google Scholar]
  7. Li, H., Gao, Y.Y. and Hou, E.K. (2021) Spatial and temporal variation of precipitation during 1960– 2015 in Northwestern China. Natural Hazards, 109: 2173–2196. https://doi.org/10.1007/s11069-021-04915-2. [CrossRef] [Google Scholar]
  8. Yang, W.C., De, H., Jiang, X.L., Dun, X.B., Hou, B.T., Zheng, C.X., Chen, C.X. and Zhuang, R. (2022) Framework for Spatio-Temporal Distribution of Disasters and Influencing Factors: Exploratory Study of Tianjin, China. Sustainability, 14: 122–132. https://doi.org/10.3390/su141710488. [Google Scholar]
  9. Huang, H.J., Jie, P.Y., Yang, Y.F. and Mi, S.Y. (2022) Spatial and Temporal Characteristics of High-Temperature Heat Wave Disasters in Chongqing. Atmosphere, 13: 89–100https://doi.org/10.3390/atmos13091396. [CrossRef] [Google Scholar]
  10. Fang, J.Y., Liu, W., Yang, S.N., Brown, S., Nicholls, R.J., Hinkel, J., Shi, X.W. and Shi, P.J. (2017) Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China. Ocean & Coastal Management,139:125–140. https://doi.org/10.1016/j.ocecoaman.2017.02.003. [CrossRef] [Google Scholar]
  11. Wang, Z.H., Wang, D.C., Guo, Q.Z. and Wang, D.K. (2020) Regional landslide hazard assessment through integrating susceptibility index and rainfall process. Natural Hazards, 104: 2153–2173. https://doi.org/10.1007/s11069-020-04265-5. [CrossRef] [Google Scholar]
  12. Kuang, Y.X., Peng, Y. and Sang, W.G. (2020) Spatial-temporal effects of regional ecosystem services based on RS and GIS——Taking Xiangxi Tujia-Miao autonomous region for example. International Journal of Geoheritage and Parks, 8:48–58. https://doi.org/10.1016/j.ijgeop.2020.03.001. [CrossRef] [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.