Reservoir Yield Analysis Using Multiple Variable Regression Screening Model and Its Comparison: A Study of 28 Water Supply Dams in Malaysia

Autor: Hock-Hwee Heng, Ching-Poon Hii, Fei-Lu Siaw, Wang-Fook Pan
Rok vydání: 2018
Předmět:
Zdroj: Journal of Engineering & Technological Advances. 3:35-74
ISSN: 2550-1437
Popis: This paper presents the study of water supply dams in Malaysia using the Storage Yield Reliability (SYR) model. The model is a linearized regressed equation with five independent variables comprising of hydrological and physical properties of the reservoir system, namely dam inflows and its statistical moment properties, reservoir storage capacity, and designated return periods or probability of non-exceedance of low flow. A total of twenty eight water supply reservoir schemes were selected for comparison in this study. Seventeen and eleven reservoirs respectively operated under direct supply (DS) and regulating reservoir (RR) modes. The estimated SYR yields were compared to the known water treatment plant (WTP) capacities of these reservoir schemes. Out of five variables, catchment area (indirectly proportionate to dam inflows) and storage capacity are positively correlated to the estimated SYR yields. The SYR model adopted in this study could provide quick yield assessment for all the twenty eight DS and RR reservoir schemes in Malaysia. In summary, the multivariate regression model SYR approach can be used as the first screening process of DS and RR operation mode reservoir yield estimation in Malaysia.
Databáze: OpenAIRE