Articles | Volume 24, issue 10
https://doi.org/10.5194/hess-24-4777-2020
https://doi.org/10.5194/hess-24-4777-2020
Research article
 | 
05 Oct 2020
Research article |  | 05 Oct 2020

Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration

Yohei Sawada and Risa Hanazaki

Viewed

Total article views: 2,702 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,823 813 66 2,702 280 73 99
  • HTML: 1,823
  • PDF: 813
  • XML: 66
  • Total: 2,702
  • Supplement: 280
  • BibTeX: 73
  • EndNote: 99
Views and downloads (calculated since 19 Feb 2020)
Cumulative views and downloads (calculated since 19 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,702 (including HTML, PDF, and XML) Thereof 2,420 with geography defined and 282 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
In socio-hydrology, human–water interactions are investigated. Researchers have two major methodologies in socio-hydrology, namely mathematical modeling and empirical data analysis. Here we propose a new method for bringing the synergic effect of models and data to socio-hydrology. We apply sequential data assimilation, which has been widely used in geoscience, to a flood risk model to analyze the human–flood interactions by model–data integration.
Share