Paper Information

Journal:   WATER AND WASTEWATER   WINTER 2008 , Volume 18 , Number 4 (64); Page(s) 25 To 34.
 
Paper: 

RIVER STREAM-FLOW AND ZAYANDEROUD RESERVOIR OPERATION MODELING USING THE FUZZY INFERENCE SYSTEM

 
Author(s):  JAMALI SAEID*, ABRISHAMCHI A., TAJRISHI M.
 
* DEPARTMENT OF CIVIL ENGINEERING, SHARIF UNIVERSITY OF TECHNOLOGY
 
Abstract: 

The Zayanderoud basin is located in the central plateau of Iran. As a result of population increase and agricultural and industrial developments, water demand on this basin has increased extensively. Given the importance of reservoir operation in water resource and management studies, the performance of fuzzy inference system (FIS) for Zayanderoud reservoir operation is investigated in this paper. The model of operation consists of two parts. In the first part, the seasonal river stream-flow is forecasted using the fuzzy rule-based system. The southern oscillated index, rain, snow, and discharge are inputs of the model and the seasonal river stream-flow its output. In the second part, the operation model is constructed. The amount of releases is first optimized by a nonlinear optimization model and then the rule curves are extracted using the fuzzy inference system. This model operates on an "if-then" principle, where the "if" is a vector of fuzzy permits and "then" is the fuzzy result. The reservoir storage capacity, inflow, demand, and year condition factor are used as permits. Monthly Zayanderoud basin is investigated as a case study. Different performance indices such as reliability, resiliency, and vulnerability are calculated. According to results, FIS works more effectively than the traditional reservoir operation methods such as standard operation policy (SOP) or linear regression.

 
Keyword(s): FUZZY INFERENCE SYSTEM, RESERVOIR OPERATION, PERFORMANCE INDICES, SOUTHERN OSCILLATED INDEX, STANDARD OPERATION POLICY, LINEAR REGRESSION
 
References: 
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