Open Access
| Issue |
MATEC Web Conf.
Volume 203, 2018
International Conference on Civil, Offshore & Environmental Engineering 2018 (ICCOEE 2018)
|
|
|---|---|---|
| Article Number | 07001 | |
| Number of page(s) | 14 | |
| Section | Water Resources Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201820307001 | |
| Published online | 17 September 2018 | |
- World Meteorological Organization, WMO, (2011). Manual on Flood Forecasting and Warning, 2011 edition. [Google Scholar]
- R. J. Moore and V. A. Bell, (2001). Comparison of Rainfall-Runoff Models for Flood Forecasting Report. Bristol. [Google Scholar]
- P. Serban, and A.J. Askew, (1991): Hydrological forecasting and updating procedures. IAHS Publ., 201:357-369 [Google Scholar]
- P. Burlando, R. Rosso, L. G. Cadavid, and J. D. Salas, (1993), Forecasting of short-term rainfall using ARMA models, J. Hydrol. 144, 193-211. [CrossRef] [Google Scholar]
- B. Sivakumar, (2010). Advances in Data-based Approaches for Hydrologic Modelling and Forecasting. Edition. World Scientific Publishing Company. [CrossRef] [Google Scholar]
- DID (Drainage and Irrigation Department). (1990-2014) Annual flood report of DID for Peninsular Malaysia. Unpublished report. DID: Kuala Lumpur. [Google Scholar]
- P. Krause, D.P Boyle, F. Base, (2005) “Comparison of different efficiency criteria for hydrological model assessment”, Advances in Geosciences. [Google Scholar]
- J. E. Nash and J. V. Sutcliffe (1970), “River flow forecasting through conceptual models part I-A discussion of principles”, Journal of Hydrology, 10 (3), 282-290. [Google Scholar]
- Kwan Tun Lee et. al, 2010. “Derivation of variable IUH corresponding to time-varying rainfall intensity during storms”. Hydrological Sciences Journal, 53 (2), 323-337, ISBN 0262-6667 [Google Scholar]
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