Application of flood nomograph for flood forecasting in urban areas

Eui Hoon Lee, Joong Hoon Kim, Yeon Moon Choo, Deok Jun Jo

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Imperviousness has increased due to urbanization, as has the frequency of extreme rainfall events by climate change. Various countermeasures, such as structural and nonstructural measures, are required to prepare for these effects. Flood forecasting is a representative nonstructural measure. Flood forecasting techniques have been developed for the prevention of repetitive flood damage in urban areas. It is difficult to apply some flood forecasting techniques using training processes because training needs to be applied at every usage. The other flood forecasting techniques that use rainfall data predicted by radar are not appropriate for small areas, such as single drainage basins. In this study, a new flood forecasting technique is suggested to reduce flood damage in urban areas. The flood nomograph consists of the first flooding nodes in rainfall runoffsimulations with synthetic rainfall data at each duration. When selecting the first flooding node, the initial amount of synthetic rainfall is 1 mm, which increases in 1 mm increments until flooding occurs. The advantage of this flood forecasting technique is its simple application using real-time rainfall data. This technique can be used to prepare a preemptive response in the process of urban flood management.

Original languageEnglish
Article number53
JournalWater (Switzerland)
Volume10
Issue number1
DOIs
Publication statusPublished - 2018 Jan 10

Keywords

  • Flood forecasting
  • Flood nomograph
  • Flood volume
  • Rainfall runoffsimulation

ASJC Scopus subject areas

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

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