Water is one of the most vital resources on Earth and plays a crucial role in sustaining life. With the rapid increase in population and urbanization, the demand for water has been increasing exponentially, leading to an immense pressure on the existing water resources. In this context, the assessment, modelling, and management of water resources have become crucial to ensure sustainable development. This book, "Water Resources Assessment, Modelling and Management," is a collection of 101 articles that delve into various topics related to water resources. It covers various aspects related to surface water, groundwater, surface water modelling, groundwater modelling, management of water resources, challenges and strategies, advanced techniques in water resources, thrust areas. The book provides a special emphasis on water resources issues and management in India, which is crucial due to the significant water-related challenges faced by the country. The articles in the book offer a broad overview of the latest techniques, tools, and strategies used in the assessment, modelling, and management of water resources. Each article is concise, with a length of around three pages, and provides a brief yet informative summary of the respective topic. The aim of the book is to provide readers with a quick and accessible overview of each topic, without delving too deeply into technical details or using equations. To keep the content straightforward and easy to understand, the articles do not contain equations. However, readers who wish to explore a topic in more depth are encouraged to consult other relevant books and resources, where they can find more comprehensive information and mathematical formulations. The book aims to be a valuable resource for water resources professionals, researchers, and students who are interested in understanding the challenges associated with water resources and the strategies for their management. It covers a wide range of topics, including the latest techniques and tools used in water resources management, and the impact of climate change on water resources. Overall, the book provides a comprehensive overview of the current state of knowledge and practice in the assessment, modelling, and management of water resources. The book is expected to serve as a useful reference for anyone interested in this important and timely topic.

Reservoir systems are subject to several uncertainties that are the result of imperfect knowledge about system behavior and inputs. A major source of uncertainty arises from the inability to predict future inflows. Fortunately, it is often possible to generate probabilistic forecasts of inflow volumes in the form of probability density functions or ensembles. These inflow forecasts can be coupled with stochastic management models to determine reservoir release policies and provide stakeholders with meaningful information of upcoming system responses such as reservoir levels, releases, flood damage risks, hydropower production, water supply withdrawals, water quality conditions, navigation opportunities, and environmental flows, among others. This information on anticipated system responses is also expressed in the form of forecasts that must reliably represent the actual system behavior when it eventually occurs. The first part of this study presents an assessment methodology that can be used to determine the consistency of ensemble forecasts through the use of relative frequency histograms and minimum spanning trees (MST). This methodology is then used to assess a management model's ability to produce reliable ensemble forecasts. It was found that neglecting to account for hydrologic state variables and improperly modeling the finite management horizon decrease ensemble consistency. Several extensions to the existing management model are also developed and evaluated. The second portion of this study involves the management of the uncertainties in reservoir systems. Traditional management models only find management policies that optimize the expected values of system benefits or costs, thereby not allowing operators and stakeholders to explicitly explore issues related to uncertainty and risk management. A technique that can be used to derive management policies that produce desired probabilistic distributions of reservoir system outputs reflecting stakeholder preferences is developed. This technique can be embedded in a user-interactive framework that can be employed to evaluate the trade-offs and build consensus in multi-objective and multi-stakeholder systems. The methods developed in this dissertation are illustrated in case studies of real reservoir systems, including a seven-reservoir, multi-objective system in California's Central Valley.

Petroleum reservoir management considerations and practices are deeply rooted in the optimization of development objectives, requisite investments, operational costs, and philosophy in addition to the dynamics of timely decision-making. Petroleum Reservoir Management: Considerations and Practices highlights the key reservoir management topics and issues that engage the attention of exploration and production companies over the life cycle of an oilfield. This is the only book to exclusively address petroleum reservoir management based on actual field development experience. It emphasizes the role of good project management, the value of a quantitative assessment of reservoir health, the importance of using good practices, and the need for true collaboration among various team players to maximize the benefits. The book expands the scope of reservoir management from field operations to boardroom discussions about capital financing to product pricing criteria, mechanisms, and strategies. FEATURES Reviews subsurface and surface management issues Discusses project and price management factors critical to the oil industry Describes macromanagement issues covering the reservoir life cycle from production to pricing Includes the role and significance of teamwork, open communication, and synergy in reservoir management This book is aimed at professionals and graduate students in petroleum and reservoir engineering, oil and gas companies, and environmental engineering.