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Automated Updating of Land Cover Maps Used in Hydrological Modelling

  • Muhammad Haris AliEmail author
  • Thaine H. Assumpção
  • Ioana Popescu
  • Andreja Jonoski
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 339)

Abstract

Urbanization and rapid growth in population are common development in many catchments and flood plains, often leading to increased flood risks. In hydrological models of regions with urban spread out, the parameters representing changes in land cover need to be frequently updated for obtaining better estimations of the discharge (runoff). This article presents an automated method for incorporating updated model parameters (SCS curve numbers) as per new land cover maps, and using them in a hydrological model. The presented work is developed for one part of Kifisios catchment in Greece, which is a pilot area of the Horizon 2020 SCENT research project (https://scent-project.eu/), focused on producing updated land use/land cover maps using crowdsourcing data provided by citizens, combined with data from remote sensing and drone images.

The method uses a newly available land cover map, which, together with other data, is automatically geo-processed in ArcGIS to provide updated SCS curve numbers. This is achieved using Python programing language and the ArcPy libraries of ArcGIS. The updating of the pre-developed HEC-HMS hydrological model with new SCS curve numbers is implemented in MATLAB, through a specialized API for changing inputs to the HEC-HMS model. The whole process is executed via a GUI developed in MATLAB, which also allows to run the HEC-HMS automatically, and present updated results - discharge hydrographs.

Keywords

ArcGIS HEC-HMS Automatic geo-processing Flood modelling 

Notes

Acknowledgements

This study has received support from the SCENT project (grant agreement No. 688930) and Data4Water project (grant agreement No. 690900) of the European Union’s Horizon 2020 research and innovation programme.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Muhammad Haris Ali
    • 1
    Email author
  • Thaine H. Assumpção
    • 1
  • Ioana Popescu
    • 1
  • Andreja Jonoski
    • 1
  1. 1.Integrated Water Systems and GovernanceIHE Delft Institute for Water EducationDelftThe Netherlands

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