Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 382
Articles | Volume 382
https://doi.org/10.5194/piahs-382-415-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-382-415-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 382
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

Atlantis, a tool for producing national predictive land subsidence maps of the Netherlands

Huite Bootsma, Henk Kooi, and Gilles Erkens

Viewed

Total article views: 1,715 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,174 491 50 1,715 57 56
  • HTML: 1,174
  • PDF: 491
  • XML: 50
  • Total: 1,715
  • BibTeX: 57
  • EndNote: 56
Views and downloads (calculated since 22 Apr 2020)
Cumulative views and downloads (calculated since 22 Apr 2020)

Viewed (geographical distribution)

Total article views: 1,599 (including HTML, PDF, and XML) Thereof 1,596 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
Short summary
A tool is presented that allows efficient and largely automated production of predictive land subsidence maps on a national scale in the Netherlands. The tool, based on Python scripts, is named Atlantis and calculates the subsidence induced by phreatic groundwater level management in Holocene soft-soil areas through peat oxidation and consolidation. Process formulation, input datasets and data handling procedures are elucidated. Maps produced with Atlantis will soon be available online.
Read more