Next Article in Journal
Monitoring of β-d-Galactosidase Activity as a Surrogate Parameter for Rapid Detection of Sewage Contamination in Urban Recreational Water
Previous Article in Journal
Constraining Parameter Uncertainty in Simulations of Water and Heat Dynamics in Seasonally Frozen Soil Using Limited Observed Data
Article Menu

Export Article

Open AccessArticle
Water 2016, 8(2), 63; doi:10.3390/w8020063

Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme

Department of Civil Engineering, K.N. Toosi University of Technology, Tehran 1996715433, Iran
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Ataur Rahman
Received: 11 December 2015 / Revised: 1 February 2016 / Accepted: 2 February 2016 / Published: 18 February 2016
View Full-Text   |   Download PDF [4798 KB, uploaded 18 February 2016]   |  

Abstract

Partitioning Scheme (PS) is one of the strategies that could play a constructive role in improving the performance of conceptual rainfall–runoff (CRR) models. The main objective of this paper is to develop a Rainfall Runoff-Partitioning Scheme (RR-PS) with the ability of distinguishing different flow regimes in a basin and simulating each regime separately. The model utilizes a combination of PS and “regular” procedures and is equipped with Fuzzy C-Means (FCM) and Seasonal Partitioning (SP) to recognize different flow regimes. In addition, to avoid excessive increase of the model parameters caused by PS, sensitivity analysis is used to recognize the sensitive parameters. The PS part of integrated model is only run for the “sensitive” parameters and the “regular” part of model is implemented for the “less-sensitive” parameters. Data from three different scale basins in USA and Iran are used to evaluate the models. A HBV-Light (Hydrologiska Byråns Vattenbalansavdelning-Light model) based CRR model (Improved HBV- IHBV) is developed in FORTRAN (Formula Translation) with several modifications for testing the procedures. The results show that in all cases IHBV-based models using PS method perform better than the regular IHBV model. Overall, IHBV-SP demonstrates better performance than the other PS based models. Further improvement is reached by adopting user-defined seasons in IHBV-SP through optimization. View Full-Text
Keywords: partitioning scheme; HBV-light; fuzzy C-means; sensitivity analysis; seasonal partitioning partitioning scheme; HBV-light; fuzzy C-means; sensitivity analysis; seasonal partitioning
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

Dariane, A.B.; Javadianzadeh, M.M. Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme. Water 2016, 8, 63.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top