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Benefit-cost analysis. Conceptual framework. Organization of the guide. Institutional and planning context. Multiple objetive nature of decisions. Planning and decision-making context. Organizational and administrative structure. Principles and environmental quality extensions of benefit-costs analysis. The purpose of benefit-cost analysis. Sources of values. Investment planning and decisions. Extension of benefit-cost analysis to environmental quality. Economic valuation techniques. Analyzing activities. Key definitions and concepts. Analyzing activities. Some examples of analysis. Analyzing effects on natural systems and receptors. Some problems in analyzing effects. Types of models for analyzing effects. Approaches to estimating effects. Choosing a model or set of models. Examples of estimating effects on natural systems. Some problems in estimating effects on natural systems. Approaches for estimating effects on receptors. Environmental quality valuation from the benefit side. Valuing benefits - a brief summary. Market value or productivity approaches. Surrogate market approaches. Litigation and compensation. Survey-based valuation techniques. Environmental quality valuation from the cost side. Cost analysis techniques. Cost-effectiveness analysis. Multiactivity economic-environmental quality models. Input-output models. Linear-programming models of environmental quality. Other models.
This paper provides the basis for the preparation of manuals necessary for managers and staffs to perform needed activities at the proper time. The guide provides a comprehensive list of issues that should be addressed in operation and maintenance manuals for irrigation and drainage systems, and a listing of published materials and working papers which will assist in the formulation of plans for operation and maintenance. The paper serves as a valuable tool to help improve the performance of irrigation and drainage systems and to assist managers in developing and improving effective organizations to serve water consumers better.
Soil erosion has become a problem of crisis proportions in developing countries around the globe, and better approaches to land management are desperately needed. This book provides analytical frameworks to guide the creation and appraisal of soil erosion control programs. The authors discuss a broad range of important issues involved in designing and implementing more effective soil conservation programs. The book begins with a discussion of the physical and economic dimensions of soil erosion and an estimation of the extent of the problem. It then explains how to improve the evaluation of soil conservation programs by integrating scientific knowledge with economic methods and procedures. A series of practical illustrations graphically demonstrates the application of the concepts derived from the theory. The most important organizational, institutional, technical, and macroeconomic aspects of soil and land management appraisal are outlined, and the major elements of project or program design are also pinpointed and illustrated. Finally, the book suggests areas most in need of future research.
This book delivers a wealth of information on changes in flood risk in Europe, and considers causes for change. The temporal coverage is mostly focused on post-1900 events, reflecting the typical availability of data, but some information on earlier flood events is also included.
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.