[1]ZHENG Chuan,JIA Zhaoliang,XU Ruijie,et al.Refinement Study of Population Distribution in Yingjiang County Based on Hidden Danger Data and Nighttime Lighting Data of Risk Census[J].Journal of Seismological Research,2023,46(03):403-414.[doi:10.20015/j.cnki.ISSN1000-0666.2023.0045
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Refinement Study of Population Distribution in Yingjiang County Based on Hidden Danger Data and Nighttime Lighting Data of Risk Census
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
46
Number of periods:
2023 03
Page number:
403-414
Column:
Public date:
2023-06-25
- Title:
- Refinement Study of Population Distribution in Yingjiang County Based on Hidden Danger Data and Nighttime Lighting Data of Risk Census
- Keywords:
- natural disaster risk census; nigthtime remote sensing images; population spatialization; streamline; Yingjiang County
- CLC:
- P315.94
- DOI:
- 10.20015/j.cnki.ISSN1000-0666.2023.0045
- Abstract:
- Due to different production methods and data sources,the existing spatialized data of the earthquake emergency population have great differences in the consistency of spatialized products,and the spatial distribution data of the population cannot meet the data needs of the post-earthquake emergency period.This paper takes Yingjiang County as the research area,based on the seventh national population census,the first natural disaster risk census across China and light image data,uses the spatial superposition method to calculate the population distribution weight,and combines the area weight method to obtain the population of Yingjiang County with a resolution of 100 m spatialized results.This product better reflects the details of the actual distribution of the population in Yingjiang County.According to the accuracy evaluation,the absolute value of the relative error of the spatialization of the population of all townships in the study area is less than 0.6%.The results show that the population spatialization model constructed by combining multi-source data such as township-scale demographic data,night light image data,and the survey data of key hidden dangers can significantly improve the accuracy of the obtained 100 m-resolution population density dataset.
- References:
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Last Update:
2023-06-25