Development of Urban Inundation Reduction Model by Data-driven Estimation and Hydraulic Analysis

Kun Yeun Han, Ah Long Son, Kwang Ik Son, Byunghyun Kim, Jun Hyung Park

Research output: Contribution to journalConference articlepeer-review

Abstract

This study presents that a development of the data-driven model for the real-time operation of drainage pump station and integrated unban flood inundation model with one-dimensional (1D) sewer system model and two-dimensional (2D) overland flow model that are improved the problems of the existing hydrology and hydrological model. The developed model was applied to Mapo drainage district to confirm adaptability for storm event of September 21, 2010.

Original languageEnglish
Pages (from-to)1148-1151
Number of pages4
JournalProcedia Engineering
Volume154
DOIs
StatePublished - 2016
Event12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016 - Incheon, Korea, Republic of
Duration: 21 Aug 201626 Aug 2016

Keywords

  • Flood inundation
  • Neuro-fuzzy
  • Pumping station
  • Real-time

Fingerprint

Dive into the research topics of 'Development of Urban Inundation Reduction Model by Data-driven Estimation and Hydraulic Analysis'. Together they form a unique fingerprint.

Cite this