The Water and Energy Management in India 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 was included in this monograph depicts 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 monograph is collected from all parts of India. The selected studies utilized the latest technologies like Multi-Criteria Decision Frame Work, Neural Networks, 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.

Zusammenfassung

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.

Inhalt
I. Introduction by Deep Jyoti Deb, Prachi Kharbanda and Khakchan Tripura Water Management

1. A review of multiple criteria decision-making methods in reference to water resources and climate science applications by Hiteshri Shastri, Kaustubh Salvi, Shashikanth Kulkarni, and Saptarshi Misra

2. Development of AHP based Spatial Cognitive model for estimation of Ungauged Runoff for Mesoscale Rivers by Tilottama Chakraborty

3. Indicator based Impact Analysis of Urbanization with respect to Evapo-transpiration by Mrinmoy Majumder ,Ashesh Rudra Paul and Apu K Saha.

4. Trend Analyses in Groundwater Levels of Bikaner District, Rajasthan by Sanju R. Phulpagar, Ganesh D. Kale, Sagar Patel and Sudhansu Mohanta

5. Climate Change Impact on Virtual Water Availability: A Categorized Polynomial Neural Network Approach by Apu K Saha, Prachi D Khobragade , Khakachang Tripura and Deepjyoti Deb

6. Development of ANN Model for Simulation of the Runoff as Affected by Climatic Factors on the Jamuna river, Assam, India by Mridusmita Debnath, Arup Kumar Sarma and Chandan Mahanta.

7. Modelling of Reference Evapotranspiration for Semi-Arid climates using Artificial Neural Network by Sharath Chandra, Adeeba Ayaz, Pratik Mandlechaad and Shaik Rehana

8. Verifying storm water drainage system capacity for Vadodara airport by Nayana D. Mathasoliya and Dr. S.S. Mujumdar.

Energy Management

9. Optimal Trade-Off Between the Energy Economy of a Hydropower Plant for Better Management of the Renewable Energy Resources by Priyanka Majumder and Abhijit Saha

10. Impact Analysis of Water, Energy and Climatic Variables on Performance of Surface Water Treatment Plants by Sudipa Choudhury, Mrinmoy Majumder and Apu Kumar Saha

11. Power Allocation in an Educational Institute in India: A Fuzzy-GMDH Approach by Apu K Saha., Deepjyoti Deb, Prachi Kharbanda and Khakchan Tripura.

12. Application of new Convergent Point Decision Making Method in Uncertainty Analysis of Hydro Power Plants by Tilottama Chakraborty and Mrinmoy Majumder.

13. Impact of location factors on Models for Predicting wave Energy Potential: A review by Tilottama Chakraborty

14. Conclusion by Ganesh D Kale