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We propose a detailed analysis of heterogeneity in households' responses to water conservation programs (price increase, voluntary and mandatory conservation) during periods of water shortage. Using a unique dataset covering water consumption of all residential users in Los Angeles (California) during the drought (1988-1992), we show that households generally were responsive to the conservation measures but that the magnitude of households' responses varies depending on the instrument and on households' characteristics, in particular the size of their lot. Price elasticity is estimated between -0.29 and -0.47 in the high season (June-October), and between 0 and -0.19 in the low season (November-May). Results suggest that the voluntary conservation program [resp. mandatory conservation program] induced a reduction in water use which varies from 1 to 13% [resp. 21% to 29%] depending on the season and the size of the lot. The achieved reduction in consumption is however very similar across households. These data also allow us to compare the effectiveness of price and nonprice policies in terms of water savings. Finally, welfare calculations suggest that households with the smallest lot sizes (and lowest income) suffered the greatest loss during the implementation of the water conservation programs.
On the one hand, population and economic growth are increasing the demand for water but on the other, environmental consequences of climate change, pollution and over extraction of groundwater are decreasing the worlds supply of fresh water. This makes the availability of water for human use one of the greatest global concerns of this century. Neither levelling growth nor technological innovation can stretch the existing supplies significantly; hence, it is imperative that demand side management techniques such as the use of water efficient fixtures in urban households, appropriate water tariff structure and regulatory policies are used as tools for water conservation. Conservation of water resources is one of the important aspects of ensuring sustainable development of cities and should incorporate environmental, social and economic dimensions. This book highlights the importance of using water efficiently in urban households, in both developed and developing cities. Specifically, the book focuses on: the determinants of water conservation behaviour, including psychological factors such as values, beliefs and attitudes, socio-economic factors such as income, water pricing and policies, environmental factors such as seasonal variations and demographic factors such as household size and age; the role of policies such as mandatory water restrictions, labelling of water saving devices and promotion of public awareness; the role of water and wastewater tariff structures in achieving the goals of revenue generation, affordability, demand management and equity and the design of conservation oriented rate structures; and the role of water saving devices in providing technological solutions to household water conservation. In relation to the above issues, the book provides several detailed case studies of cities to understand the effectiveness of such demand management tools and the lessons learnt. Overall, the book aims to provide a comprehensive overview of the various price and non-price tools that can be used to manage domestic water consumption. Water Conservation in Urban Households is a one-stop repository of information on water conservation for academics, practitioners and policy makers. The text can be used for teaching and research on water demand management as well as for professional reference by water utility officials. In addition, the appendix of the book contains a database of the current domestic water and wastewater tariffs and monthly bills of selected cities, which will be helpful for those willing to conduct research in this field. Author: Sonia Ferdous Hoque, University of Leeds, UK.
Growing scarcity of freshwater worldwide brings to light the need for sound water resource modeling and policy analysis. While a solid foundation has been established for many specific water management problems, combining those methods and principles in a unified framework remains an ongoing challenge. This Handbook aims to expand the scope of efficient water use to include allocation of sources and quantities across uses and time, as well as integrating demand-management with supply-side substitutes. Socially efficient water use does not generally coincide with private decisions in the real world, however. Examples of mechanisms designed to incentivize efficient behavior are drawn from agricultural water use, municipal water regulation, and externalities linked to water resources. Water management is further complicated when information is costly and/or imperfect. Standard optimization frameworks are extended to allow for coordination costs, games and cooperation, and risk allocation. When operating efficiently, water markets are often viewed as a desirable means of allocation because a market price incentivizes users to move resources from low to high value activities. However, early attempts at water trading have run into many obstacles. Case studies from the United States, Australia, Europe, and Canada highlight the successes and remaining challenges of establishing efficient water markets.
The effects of climate change, rapid urbanization, and aging infrastructure challenge water policymakers to confront a radical paradigm shift in water resources utilization. Recent advances in sensing, networking, processing, and control have provided the means for sustainable solutions in water management, and their implementation in water infrastructures is collectively referred to as "smart water grids." Smart water grids depend upon cyber-physical system principles to effectively respond to issues regarding the scalability and reliability of dynamic and inaccessible environments. As such, unique smart water grid issues associated with front-end signal processing, communication, control, and data analysis must be jointly addressed, while sophisticated techniques for data analytics must be introduced into cyber-physical systems research. This book provides a thorough description of the best practices for designing and implementing cyber-physical systems that are tailored to different aspects of smart water grids. It is organized into three distinct, yet complementary areas, namely: the theory behind water-oriented cyber-physical systems with an emphasis on front-end sensing and processing, communication technologies, and learning techniques over water data; the applications and emerging topics of cyber-physical systems for water urban infrastructures, including real-life deployments, modern control tools, and economic aspects for smart water grids; and the applications and emerging topics across natural environments, emphasizing the evolution of fresh water resources. The structured discussion yields a rich, comprehensive body of knowledge on this emerging topic of research and engineering. As water issues intensify on a global scale, this book offers an algorithmic and practical toolkit for intermediate and advanced readers as well as professionals and researchers who are active in, or interested in, learning more about smart water grids. Key Features: Emphasizes the multidisciplinary nature of this emerging topic, covering both theoretical and practical aspects of this area while providing insights on existing deployments, which can serve as design examples for new applications. Explores how modern signal processing and machine learning techniques can contribute and enrich the potential of smart water grids, well beyond conventional closed-loop control techniques. Highlights complementary aspects that will help shape the future of smart water grids, such as consumption awareness, economic aspects, and control tools in industrial water treatment as well as the impact of climate change on fresh water resources. Enables the reader to better understand this emerging topic, investing in current state-of-the-art and future technological roadmaps for smart water grids.