Next Article in Journal
Meteorological Knowledge Useful for the Improvement of Snow Rain Separation in Surface Based Models
Next Article in Special Issue
Postprocessing of Medium Range Hydrological Ensemble Forecasts Making Use of Reforecasts
Previous Article in Journal
Migrating Storms and Optimal Control of Urban Sewer Networks
Previous Article in Special Issue
Impacts of Forest Fires and Climate Variability on the Hydrology of an Alpine Medium Sized Catchment in the Canadian Rocky Mountains
Article Menu

Export Article

Open AccessArticle
Hydrology 2015, 2(4), 242-265; doi:10.3390/hydrology2040242

Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam

GIS & Remote Sensing Section, Institute of Geography, Cartography, Georg-August University Goettingen, Goldschmidt Street 5, D-37077 Goettingen, Germany
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Luca Brocca
Received: 27 August 2015 / Revised: 2 November 2015 / Accepted: 11 November 2015 / Published: 17 November 2015
(This article belongs to the Special Issue Hydrological Modeling: Beyond Runoff Calibration)
View Full-Text   |   Download PDF [15511 KB, uploaded 9 December 2015]   |  

Abstract

Northern Vietnam is a region prone to heavy flash flooding events. These often have devastating effects on the environment, cause economic damage and, in the worst case scenario, cost human lives. As their frequency and severity are likely to increase in the future, procedures have to be established to cope with this threat. As the prediction of potential flash floods represents one crucial element in this circumstance, we will present an approach that combines the two models KINEROS2 and HEC-RAS in order to accurately predict their occurrence. We used a documented event on 23 June 2011 in the Nam Khat and the larger adjacent Nam Kim watershed to calibrate the coupled model approach. Afterward, we evaluated the performance of the coupled models in predicting flow velocity (FV), water levels (WL), discharge (Q) and streamflow power (P) during the 3–5 days following the event, using two different precipitation datasets from the global spectral model (GSM) and the high resolution model (HRM). Our results show that the estimated Q and WL closely matched observed data with a Nash–Sutcliffe simulation efficiency coefficient (NSE) of around 0.93 and a coefficient of determination (R2) at above 0.96. The resulting analyses reveal strong relationships between river geometry and FV, WL and P. Although there were some minor errors in forecast results, the model-predicted Q and WL corresponded well to the gauged data. View Full-Text
Keywords: flash flood; prediction; KINEROS2; HEC-RAS; modeling; tropics; discharge; flow velocity; flood stage flash flood; prediction; KINEROS2; HEC-RAS; modeling; tropics; discharge; flow velocity; flood stage
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Nguyen, H.Q.; Degener, J.; Kappas, M. Flash Flood Prediction by Coupling KINEROS2 and HEC-RAS Models for Tropical Regions of Northern Vietnam. Hydrology 2015, 2, 242-265.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Hydrology EISSN 2306-5338 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top