The 21st century will witness the collision of two powerful forces - burgeoning population growth, together with a changing climate. With population growth, water scarcity will proliferate to new areas across the globe. And with climate change, rainfall will become more fickle, with longer and deeper periods of droughts and deluges. This report presents new evidence to advance understanding on how rainfall shocks coupled with water scarcity, impacts farms, firms, and families. On farms, the largest consumers of water in the world, impacts are channeled from declining yields to changing landscapes. In cities, water extremes especially when combined with unreliable infrastructure can stall firm production, sales, and revenue. At the center of this are families, who feel the impacts of this uncertainty on their incomes, jobs, and long-term health and welfare. Although a rainfall shock may be fleeting, its consequences can become permanent and shape the destiny of those who experience it. Pursuing business as usual will lead many countries down a 'parched path' where droughts shape destinies. Avoiding this misery in slow motion will call for fundamental changes to water policy around the globe. Building resilience to rainfall variability will require using different policy instruments to address the multifaceted nature of water. A key message of this report is that water has multiple economic attributes, each of which entail distinct policy responses. If water is not managed more prudently--from source, to tap, and back to source--the crises observed today will become the catastrophes of tomorrow.

Sweep Frequency Response Analysis (SFRA) is an effective low-voltage, off-line diagnostic tool; used for finding out any possible winding displacement or mechanical damage inside the transformer. In this method, the frequency response of a transformer is taken both at manufacturing industry and concern site. Then both the response is compared to predict the fault location/type in the transformer. But in old/aged transformers, the primary reference response is unavailable. So, Cross Correlation Co-Efficient (CCF) measurement technique can be an approach for fault detection in these transformers. In this book, mathematical analysis of transfer function for SFRA technique has been elaborated, mathematical model for calculating CCF between SFRA curves has been programmed and through several case studies, the developed model has been applied on some faulty transformers. It has been found that theoretically predicted results using CCF matches with practical results which indicate the effectiveness of the proposed method. This book will be very helpful for Testing & Commissioning Engineers of transformer manufacturing and electricity utility companies to have introductory idea about SFRA.