Volume 15, Issue 58 (winter 2012)                   jwss 2012, 15(58): 39-52 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

R. Mirabbasi Najafabadi, Y. Dinpazhoh, A. Fakheri-Fard. Rainfall Runoff Modelling Using the Principle of Maximum Entropy(Case Study: Kasilian Watershed). jwss 2012; 15 (58) :39-52
URL: http://jstnar.iut.ac.ir/article-1-2058-en.html
, mirabbasi_r@yahoo.com
Abstract:   (18053 Views)
Accurate estimation of runoff for a watershed is a very important issue in water resources management. In this study, the monthly runoff was estimated using the rainfall information and conditional probability distribution model based on the principle of maximum entropy. The information of monthly rainfall and runoff data of Kasilian River basin from 1960 to 2006 were used for the development of model. The model parameters were estimated using the prior information of the watershed such as mean of rainfall, runoff and their covariance. Using the developed model, monthly runoff was estimated for different values of runoff coefficient, , return period, , at different probability levels of rainfall for the basin under study. Results showed that the developed model estimates runoff for all return periods satisfactorily if the runoff coefficient value is taken 0.6. Also, it is observed that at a particular probability level and runoff coefficient, the estimated runoff decreases as return period increases. However, the rate of change of runoff decreases slightly as return period increases.
Full-Text [PDF 256 kb]   (7571 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2012/03/17 | Published: 2012/03/15

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb