Short-Term Forecasting of Urban Storm Water Runoff in Real-Time using Extrapolated Radar Rainfall Data

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20 Citations (Scopus)

Abstract

Model based short-term forecasting of urban storm water runoff can be applied in realtime control of drainage systems in order to optimize system capacity during rain and minimize combined sewer overflows, improve wastewater treatment or activate alarms if local flooding is impending. A novel online system, which forecasts flows and water levels in real-time with inputs from extrapolated radar rainfall data, has been developed. The fully distributed urban drainage model includes auto-calibration using online in-sewer measurements which is seen to improve forecast skills significantly. The radar rainfall extrapolation (nowcast) limits the lead time of the system to two hours. In this paper, the model set-up is tested on a small urban catchment for a period of 1.5 years. The 50 largest events are presented.
Original languageEnglish
JournalJournal of Hydroinformatics
Volume15
Issue number3
Pages (from-to)897–912
Number of pages16
ISSN1464-7141
DOIs
Publication statusPublished - 2013

Keywords

  • Urban Drainage Modelling
  • Forecasting
  • Auto-Calibration
  • Radar
  • Real-Time Control

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