Reliability Analysis for Optimization of Galma Dam Reservoir Operations Using an Explicit Stochastic Model
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 02
Abstract
Effective handling of water resources in dams is important for guaranteeing consistent water supply, flood management, and food safety. This research introduces a method for assessing the dependability of Galma's dam reservoir operations by utilizing a specific stochastic modeling technique. The stochastic optimization model includes the natural uncertainties in hydrological inflows, water demands, and operating conditions. The stochastic optimization model is created by selecting the probability distribution of two parameters from the Weilbull distribution, with a scale factor of 25.3522 and a shape factor of 0.55190. This model is converted into a chance-constrained programming problem to determine the yield for a specified demand. The input discharge levels were optimized to achieve the Maximum-Minimum yields at reliability levels of 25%, 50%, 75% and 85%. The highest amount of water produced was 669.890 Mega Cubic Meters (MCM) with an 85% assurance level, while the lowest amount was 334.2666 MCM at a 25% confidence level. This demonstrates the need to find the best operational strategies that consider trade-offs between different goals and guarantee a specific level of system dependability. The results of this research offer important information for water resource managers and decision-makers to create resilient and sustainable reservoir management plans, especially amidst growing uncertainties from climate change and other environmental influences.
Authors and Affiliations
Haruna Garba , Osuonda Panam Adah Manasseh,
Keywords
Related Articles
- EP ID EP758948
- DOI 10.47191/etj/v10i02.08
- Views 37
- Downloads 0
Turbo Traverse Dispatch Delivery Assistant Cannibalizing Routing Algorithm
This project aims to develop an innovative delivery bot system that leverages GPS navigation, a digital display, and OTP authentication to transform the delivery process. The system integrates advanced route planning alg...
BOOSTING THE MICROWAVE ABSORPTION PROPERTIES USING GRAPHENE FUNCTIONALIZED WITH MG-MN-ZN-BI FERRITES
Graphene (Gr) composites with Mg0.5Mn0.375Zn0.125Bi0.05Fe1.95O4 (MMZB nano ferrites), (Gr= 0%, 1%, 2%, 3%, 4%) were synthesized by using the sol gel auto combustion method. XRD, FTIR and Uv-Vis confirmed the significant...
Emotion Detection Using Deep Learning Algorithm
Automatic emotion detection is a key task in human machine interaction,where emotion detection makes system more natural. In this paper, we propose an emotion detection using deep learning algorithm. The proposed algorit...
The Absorbent Capabilities of Soil in Structural Works Are Related to the Quality of the Concrete
In implementing building construction from low level to middle level, if the implementation is not using the services of a supervisory consultant, the implementers sometimes do not pay attention to the rules in the imple...
Neighbourhood Component Regression Approach for Housing Unit Price Prediction
Predicting housing unit price (HUP) is important for potential buyers and investors to make informed decisions. This study proposes a novel HUP prediction model based on neighbourhood component regression (NCR). The prop...