This book gives decision makers, health professionals and analysts a comprehensive view of the arguments and challenges associated with establishing the value of drinking-water interventions. The experts who have contributed to this publication provide guidance on assessing the benefits from improving access to safe drinking water and from reducing the burden of water-related diseases. They show how to compare the value of these benefits to the costs of the interventions, with special reference to small-scale drinking water systems.
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.
Because water in the United State has not been traded in markets, there is no meaningful estimate of what it would cost if it were traded. But failing to establish ground water's valueâ€"for in situ uses such as sustaining wetlands as well as for extractive uses such as agricultureâ€"will lead to continued overuse and degradation of the nation's aquifers. In Valuing Ground Water an interdisciplinary committee integrates the latest economic, legal, and physical knowledge about ground water and methods for valuing this resource, making it comprehensible to decision-makers involved in Superfund cleanup efforts, local wellhead protection programs, water allocation, and other water-related management issues. Using the concept of total economic value, this volume provides a framework for calculating the economic value of ground water and evaluating tradeoffs between competing uses of it. Included are seven case studies where ground-water valuation has been or could be used in decisionmaking. The committee examines trends in ground-water management, factors that contribute to its value, and issues surrounding ground-water allocation and legal rights to its use. The book discusses economic valuation of natural resources and reviews several valuation methods. Presenting conclusions, recommendations, and research priorities, Valuing Ground Water will be of interest to those concerned about ground-water issues: policymakers, regulators, economists, attorneys, researchers, resource managers, and environmental advocates.
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.
This book is open access under a CC BY-NC 4.0 license. This revised, updated textbook presents a systems approach to the planning, management, and operation of water resources infrastructure in the environment. Previously published in 2005 by UNESCO and Deltares (Delft Hydraulics at the time), this new edition, written again with contributions from Jery R. Stedinger, Jozef P. M. Dijkman, and Monique T. Villars, is aimed equally at students and professionals. It introduces readers to the concept of viewing issues involving water resources as a system of multiple interacting components and scales. It offers guidelines for initiating and carrying out water resource system planning and management projects. It introduces alternative optimization, simulation, and statistical methods useful for project identification, design, siting, operation and evaluation and for studying post-planning issues. The authors cover both basin-wide and urban water issues and present ways of identifying and evaluating alternatives for addressing multiple-purpose and multi-objective water quantity and quality management challenges. Reinforced with cases studies, exercises, and media supplements throughout, the text is ideal for upper-level undergraduate and graduate courses in water resource planning and management as well as for practicing planners and engineers in the field.
Because Tampa Bay Water added new and diverse water sources to its supply mix recently, source rotation and production scheduling became more complex. To address this challenge, Tampa Bay Water developed and implemented a decision making process to aid annual water source rotation and planning decision making that is discussed in this report. A multi-attribute utility analytical (MUA) tool, named the Source Management and Rotation Technology Tool (SMARTT), was developed to evaluate water source planning alternatives. This provides a framework to assess water source combinations and assist policy makers in making effective decisions that meet water quality, environmental, social, operational and financial objectives. Includes some color pages and CD with literature review data.
