Open AccessDeveloping the Regression Relationships for the Critical Period of the Reservoir Systems at Sungai Bekok and Sungai Kesang Catchments in Malaysia
Author(s) -
Issa Saket Oskoui,
Reduan Abdullah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/920/1/012018
Subject(s) - streamflow , reliability (semiconductor) , period (music) , hydrology (agriculture) , regression , statistics , regression analysis , environmental science , sequent , mathematics , computer science , geology , geography , geotechnical engineering , cartography , drainage basin , physics , acoustics , power (physics) , discrete mathematics , quantum mechanics
The knowledge of critical period (CR) for determining the behavior type of reservoir systems is very beneficial in the planning process for distinguishing the period of the required streamflow data in the simulation procedure. Generally, for within-year systems (CR twelve months) employing the annual streamflow data will suffice. Currently, there is no relationship in the literature that can be used for predicting the behavior type of reservoir systems employing reliability and vulnerability performance indices in Sungai Bekok and Sungai Kesang catchments. Hence, the objective of this study is to develop a novel equation involving performance indices for estimating the critical period of the aforementioned reservoir systems. The reservoirs were analyzed employing a Monte Carlo technique by improved sequent peak algorithm. Afterward, new regression equations for the critical period were developed based on simulation results and then verified by comparing the equations’ outcomes with simulation results. Finally, it was found that the performance of the new equations is excellent in reproducing the critical period.