Water and Energy Management in India

Artificial Neural Networks and Multi-Criteria Decision Making Approaches
1. Auflage 2021
ISBN: 978-3-030-66682-8
Verlag: Springer International Publishing

Buch, Englisch, 275 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 623 g

This book provides an innovative, realistic and reliable solution to the common problem of Indian water and energy sector due to the onset of the Impact of Climate Change and Large-Scale Urbanization. Twelve Case Studies and One Review Paper that were included in this book depict the way soft computation techniques, simulation and decision-making framework can optimize the best solution from multiple solutions to the problems of water and energy management which corresponds to a novel symbiotic and synchronous nexus between water and the energy sector. All the studies included in this book are collected from all parts of India. The selected studies utilized the latest technologies like Multi-Criteria Decision Frame Work, Neural Networks and Nature-Based Optimization techniques to achieve diverse objectives from the prediction of climatic parameters to yield from ungauged watershed to performance optimization of Water Treatment Plant, Hydropower as well as futuristic alternative energy systems like Wave to Power Plants.

Zielgruppe

Research

Autoren/Hrsg.

Kale, Ganesh D.

Majumder, Mrinmoy

Fachgebiete

• Geowissenschaften Geologie Meteorologie, Klimatologie
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Energie- & Versorgungswirtschaft Energiewirtschaft: Alternative & Erneuerbare Energien
• Geowissenschaften Umweltwissenschaften Wasserversorgung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction.- Water Management.- A review of multiple criteria decision-making methods in reference to water resources and climate science applications.- Development of AHP based Spatial Cognitive model for estimation of Ungauged Runoff for Mesoscale Rivers.- Indicator based Impact Analysis of Urbanization with respect to Evapo-transpiration.- Trend Analyses in Groundwater Levels of Bikaner District, Rajasthan.- Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approach.- Development of ANN Model for Simulation of the Runoff as Affected by Climatic Factors on the Jamuna river, Assam, India.- Modelling of Reference Evapotranspiration for Semi-Arid climates using Artificial Neural Network.- Verifying storm water drainage system capacity for Vadodara airport.- Energy Management.- Optimal Trade-Off Between the Energy – Economy of a Hydropower Plant for Better Management of the Renewable Energy Resources.- Impact Analysis of Water, Energy and Climatic Variables on Performance of Surface Water Treatment Plants.- Power Allocation in an Educational Institute in India: A Fuzzy-GMDH Approach.- Application of new Convergent Point Decision Making Method in Uncertainty Analysis of Hydro Power Plants.- Impact of location factors on Models for Predicting wave Energy Potential: A review.- Conclusion.