Year: 2021
Type: preprint
Abstract: Present paper is intended to develop optimal policy for Water Distribution Network using Neuro- Fuzzy Technique in an effective manner. Hydraulic simulation of the Real Network is performed in Water Gems and is used for the evaluation of the system performance measure. The real network is revised by adding certain Hydraulic parameters such as PBV’s (Pressure Break Valves) and Pumps and the results are found to be within standard limits for velocity and pressure specified by CPHEEO (Central Public Health and Environmental Engineering Organization). The networks are optimized using ANFIS (Adaptive Neuro Fuzzy Interactive System) to achieve the optimal cost and to obtain maximum reliability of the network. The pipe length and diameters are considered as fuzzy variables in the model and given as inputs to the model and pressure and velocities are outputs of the model. A comparison is made which marks the proposed network optimized using ANFIS is more reliable than the real network with slight increase in cost. Chota Govindpur – Baghbera Water Supply System is used as Case Study which is located in East Singhbhum District Jharkhand, India and the source of water is Subarnarekha river originated from Nagri village in Ranchi district of Jharkhand.
Source: Research Square
Authors: Abu Rashid, Sangeeta Kumari
Institution: National Institute of Technology Jamshedpur
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3203549367