Search Results - "LINGIREDDY, SRINIVASA"

A neural network approach to identifying non-point sources of microbial contamination by Brion, Gail Montgomery, Lingireddy, Srinivasa

“…Commonly measured fecal bacteria concentrations in water and rainfall data were utilized as inputs for training a neural network model to distinguish between…”
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Artificial Neural Network Prediction of Viruses in Shellfish by Brion, Gail, Viswanathan, Chandramouli, Neelakantan, T. R, Lingireddy, Srinivasa, Girones, Rosina, Lees, David, Allard, Annika, Vantarakis, Apostolos

“…A database was probed with artificial neural network (ANN) and multivariate logistic regression (MLR) models to investigate the efficacy of predicting…”
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Neural Network–Derived Heuristic Framework for Sizing Surge Vessels by Ramalingam, Dhandayudhapani, Lingireddy, Srinivasa

“…AbstractSurge vessels provide efficient protection against low and high transient pressures in water distribution systems. However, they can be quite…”
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How slow is slow? Managing fire hydrant operation for protecting water infrastructure by Lingireddy, Srinivasa, Ormsbee, Lindell E., Kamojjala, Sri, Hall, Ashley M.

“…There have been several water main breaks attributed to fire hydrant operations despite the persistent guidance from stakeholders to operate the hydrants…”
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Hydraulic Transient Guidelines for Protecting Water Distribution Systems by BOULOS, PAUL F., KARNEY, BRYAN W., WOOD, DON J., LINGIREDDY, SRINIVASA

“…Transients can introduce large pressure forces and rapid fluid accelerations into a water distribution system. These disturbances may result in pump and device…”
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Backfilling missing microbial concentrations in a riverine database using artificial neural networks by Chandramouli, V., Brion, Gail, Neelakantan, T.R., Lingireddy, Srinivasa

“…Predicting peak pathogen loadings can provide a basis for watershed and water treatment plant management decisions that can minimize microbial risk to the…”
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Numerical methods for modeling transient flow in distribution systems by WOOD, DON J., LINGIREDDY, SRINIVASA, BOULOS, PAUL F., KARNEY, BRYAN W., MCPHERSON, DAVID L.

“…The authors compared two numerical methods, one Eulerian‐based, the other Lagrangian‐based, for modeling hydraulic transients in water distribution systems…”
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Using the WCM for transient modeling of water distribution networks by RAMALINGAM, DHANDAYUDHAPANI, LINGIREDDY, SRINIVASA, WOOD, DON J.

“…Recent water quality studies have emphasized the need for transient analysis of large pipe networks to properly assess the potential level of intrusion…”
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Optimisation procedure for pipe-sizing with break-repair and replacement economics by Lingireddy, Srinivasa, Neelakantan, T.R., Suribabu, C.R.

“…The importance of incorporating break-repair costs and pipe-replacement costs in optimal design of a water distribution network is highlighted and demonstrated…”
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Pressure surges in pipeline systems resulting from air releases by LINGIREDDY, SRINIVASA, WOOD, DON J., ZLOCZOWER, NAFTALI

“…It is a common practice to locate air valves at high elevations along water transmission mains. Improper sizing of an air valve could lead to the rapid…”
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A neural-network-based classification scheme for sorting sources and ages of fecal contamination in water by Brion, Gail M, Neelakantan, T.R, Lingireddy, Srinivasa

“…Artificial neural networks (ANNs) were successfully applied to data observations from a small watershed consisting of commonly measured indicator bacteria,…”
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AQUIFER PARAMETER ESTIMATION USING GENETIC ALGORITHMS AND NEURAL NETWORKS by LINGIREDDY, SRINIVASA

“…Computational tools such as genetic algorithms and neural networks are becoming increasingly popular in scientific applications involving mathematical…”
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Hydraulic Network Calibration Using Genetic Optimization by Lingireddy, Srinivasa, Ormsbee, Lindell E.

“…The validity of a hydraulic network model depends not only on the accuracy of its physical and geometric data but also on the accuracy of certain parametric…”
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Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters by Neelakantan, T. R, Lingireddy, Srinivasa, Brion, Gail M

“…A neural network approach was employed to relate risky Cryptosporidium and Giardia concentrations with other biological, chemical and physical parameters in…”
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INTERNAL CHECK VALVE IMPORTANT IN REDUCING AIR SLAM [with respond] by Poole, David A., Lingireddy, Srinivasa, Wood, Don J.

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Pressure-Flow Relationships for DistributionSystem Connections by Lingireddy, Srinivasa, Wood, Don J

“…The suggested practice of using single point test data to construct a "straight line" (i.e., hydraulically scaled) water supply plot is investigated herein. It…”
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USING NEURAL NETWORKS to predict peak Cryptosporidium concentrations by BRION, GAIL MONTGOMERY, NEELAKANTAN, T.R., LINGIREDDY, SRINIVASA

“…Neural network modeling was used to examine the relationships between multiple interrelated water quality and quantity parameters at the intake to a water…”
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Calibrating hydraulic network models by Ormsbee, Lindell E., Lingireddy, Srinivasa

“…Although calibration should always be included in any hydraulic analysis, it is often neglected or done haphazardly. As a result, inappropriate data may be…”
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Improved Operation of Water Distribution Systems Using Variable-Speed Pumps by Lingireddy, Srinivasa, Wood, Don J

“…Variable-speed pumps are becoming increasingly commonplace in the water distribution industry, replacing conventional fixed-speed pumps. While the principal…”
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Pressure-flow relationships for distribution system connections by LINGIREDDY, Srinivasa, WOOD, Don J

“…The suggested practice of using single point test data to construct a "straight line" (i.e., hydraulically scaled) water supply plot is investigated herein. It…”
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