Spatiotemporal differentiation characteristics of flood risk based on spatial statistical analysis: a study of Jing–Jin–Ji region in China-Reference-Cited by-同舟云学术

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Spatiotemporal differentiation characteristics of flood risk based on spatial statistical analysis: a study of Jing–Jin–Ji region in China

Published:2024-08-18 Issue: Volume: Page:
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Gao Lei,Liu Xiaoxue,Liu Hao

Funder

Science and Technology Innovation Program for Postgraduate students in IDP subsidized by Fundamental Research Funds for the Central Universities

The Scientific Research Projects of Hebei Education Department in 2024

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11069-024-06876-8.pdf

Reference60 articles.

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2. Campos RM, Guedes Soares C (2018) Spatial distribution of offshore wind statistics on the coast of Portugal using Regional Frequency Analysis. Renew Energy 123(2018):806–816. https://doi.org/10.1016/j.renene.2018.02.051

3. Chang M-C (2023) Spatial agglomeration analysis on a circular economy’s energy efficiency: a study of European Union countries. J Clean Prod 426(2023):139191. https://doi.org/10.1016/j.jclepro.2023.139191

4. Chen X, Qiao L, Liu Y, Gao M, Zhao J (2023) Risk assessment of rainstorm disasters based on grid. J China Hydrol 43(01):84–89. https://doi.org/10.19797/j.cnki.1000-0852.20210289. (in Chinese)

5. Cheruiyot K (2022) Detecting spatial economic clusters using kernel density and global and local Moran’s I analysis in Ekurhuleni metropolitan municipality, South Africa. Reg Sci Policy Pract 14(2):307–328. https://doi.org/10.1111/rsp3.12526

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