Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques-Reference-Cited by-同舟云学术

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Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques

Published:2017-02 Issue: Volume:545 Page:100-108
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Chang Tak Kwin,Talei Amin,Alaghmand Sina,Ooi Melanie Po-Leen

Funder

Monash University Malaysia

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference55 articles.

1. Neural Networks for Hydrological Modeling;Abrahart,2004

2. Comparison between capabilities of HEC-RAS and MIKE11 hydraulic models in river flood risk modelling (a case study of Sungai Kayu Ara River basin, Malaysia);Alaghmand;Int. J. Hydrol. Sci. Technol.,2012

3. GIS-based river flood hazard mapping in urban area (a case study in Kayu Ara River Basin, Malaysia);Alaghmand;Int. J. Eng. Technol,2010

4. RSPOP: rough set-based pseudo outer-product fuzzy rule identification algorithm;Ang;Neural Comput.,2005

5. A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff;Aqil;J. Hydrol.,2007

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