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Water Quality Management

www.ebooks.com/cj.asp?IID=1702206&cjsku=1702206...
The global attention in recent years has focused primarily on water quantity and allocation issues. Water quality has received significantly less attention than water quantity. Commendable progress has been made by the developed world to control point sources of pollution, but commensurate progress in reducing non-point sources has not been made. In the third world countries both point and non-point sources of pollution are becoming increasingly a serious concern. Already, nearly all water bodies in such countries near and around urban centres have been severely polluted, with very high health and environmental costs. The book assesses the current status of water quality management in both developed and developing worlds, as well as analysing the effectiveness of economic instruments and legal and institutional frameworks to control water contamination. It outlines the importance of building upsocial and political awareness to reverse the trend of continuing water quality deterioration, which is likely to be a most challenging task in the coming years. This book was published as a special issue of International Journal of Water Resources Development .
Category: Social Science. ISBN: 9781317978954

Building Quality Management Systems

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Quality has quickly become one of the most important decision-making factors for consumers. And although organizations invest considerable resources into building the right quality management systems (QMSs), in many instances, the adoption of such quality improvement tools are just not enough. Building Quality Management Systems: Selecting the Right Methods and Tools explains exactly what directors, practitioners, consultants, and researchers must do to make better choices in the design, implementation, and improvement of their QMSs. Based on the authors' decades of industrial experience working on business improvement projects for multinationals looking to design or improve their QMSs, the book discusses building QMSs based on two important organizational elements: needs and resources. It begins with an overview of QMSs and systems thinking and the impact of QMSs on financial performance. Illustrating the process management approach, it reviews the most well-known business and quality improvement models, methods, and tools that support a major QMS. The authors introduce their own time-tested methodology for designing, implementing, and enhancing your own QMS. Using their proven method, you will learn how to: Implement a strategic quality plan based on your specific needs, capabilities, costbenefits, policies, and business strategies Select the right models, methods, and tools to be adopted as part of your QMS Understand the critical success factors and implementation challenges Evaluate the level of maturity of your QMS and your implementation efforts Highlighting the importance of quality as a way of life, this book supplies the understanding you'll need to make the right choices in the development and deployment of your QMS. With a clear focus on business performance and process management, it provides the basis for creating the quality management culture required to become a world-class organization.
Category: Business. ISBN: 9781466565005

Environmental Quality Management

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Environmental Quality Management provides a quantitative analysis of regional residuals environmental quality management in the Lower Delaware Valley. Originally published in 1976, this study takes a management outlook to discuss new systems such as a non-linear aquatic eco-system model and reaches conclusions which have influenced research and management decisions about REQM across the world. This title will be of interest to students of Environmental Studies.
Category: Technology. ISBN: 9781317354260

Integrated Air Quality Management

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The steady growth in the number of vehicles on the road, heavy reliance on coal, use of dirty fuels for residential combustion, and extensive open burning are some of the major factors leading to the progressive deterioration of air quality in developing countries in Asia. And despite efforts to establish and implement air quality measurement systems, the development of infrastructure, environmental technology, and management practices continues to lag behind the rate of emission increase. Based on ten years of coordinated research, Integrated Air Quality Management: Asian Case Studies discusses technical and policy tools for the integrated air quality management of developing countries in Asia. The book begins with an overview of major issues of air quality management practices in developing Asia and potential approaches to reduce pollution, including opportunities for integration of air quality improvement and climate migration strategies. It covers the methodology and results of fine particulate matter monitoring using traditional filter-based and satellite monitoring techniques. It examines the applications of a 3D dispersion modeling tool for urban and regional air quality management focusing on surface ozone, fine particulate matter, and acid deposition. The final chapters discuss innovative control technologies for gaseous air pollutants and illustrate the integrated air quality management in developing Asia through case studies for target source categories including agricultural residue field burning, vehicle emissions, brick kilns, and industrial VOC emission. Illustrated with case studies, this book presents an integrated air quality management methodology that employs technical and policy tools to achieve air quality goals. It includes technical information and policy recommendations based on the outcomes of several multi-year air quality research programs coordinated by the Asian Institute of Technology. The text combines fundamental information and advanced knowledge useful to large audiences dealing with subjects of integrated air quality management.
Category: Technology. ISBN: 9781439862261

Total Quality Management for Project Management

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Finding ways to improve margins can be the difference between organizations that thrive and those that simply survive during times of economic uncertainty. Describing why cost reductions can be just as powerful as increases in revenue, Total Quality Management for Project Management explains how to integrate time-tested project management tools with the power of Total Quality Management (TQM) to achieve significant cost reductions. Detailing the ins and outs of applying project management methods to TQM activities, the book provides the understanding you'll need to enhance the effectiveness of your TQM work. To clear up any confusion about what a true quality improvement is, it includes sections that cover the fundamentals of total quality management and defines the terms used throughout the text. The book examines profitability as it relates to product costincluding the initial work determining investment paybacks. It compares TQM/PM versus Six Sigma and illustrates the use of scrum in the context of TQM for improving quality initiatives. Complete with real-world success stories that facilitate comprehension, it illustrates methods that can help to minimize distractions and keep your team focused. The authors consider the full range of quality improvement tools as applied within the framework of project management. For the section of the book on the application of TQM to scrum, they demonstrate how these analytical methods can be used on the data produced within a scrum project and made into actionable information. Filled with innovative methods for improving costs, the text arms you with the tools to determine the approaches best suited to your corporate culture and capabilities.
Category: Business. ISBN: 9781439885109

Quality Management in Higher Education

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A timely intervention as higher education in India begins to pay equal importance to quality, alongside access and equity.
Category: Education. ISBN: 9789351509967

Sustainable Water Quality Management Policy

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After the success of the Acid Rain Program, pollution trading became a more acceptable policy in dealing with pollution problems. Trading of pollution credits and allowances helps to achieve environmental goals faster and more co- effectively. Although for the past 20 years water pollution trading had been in effect for as long as air pollution trading, many water quality trading programs as compared to air pollution trading programs lack success in the implementation of trading. The motivation factor for my work came from an interest in learning and understanding what the differences were that culminated in different levels of success being achieved between water pollution trading programs and air pollution trading programs. Moreover, another incentive was not only to understand what the role of trading should be for managing water quality, but also how to better improve the water quality trading programs in order to become successful. This book focuses on the examination of problems existing within a mark- based system for water pollution control policy in the United States, and provides essential information for introducing market-based instruments for water quality management, presents general situations where trading may or may not work, and offers a recommendation for those interested in developing new water trading programs as a suitable option for solving localized water pollution, for ?ne-tuning the system after implementation, and for overcoming trading obstacles. The book is divided into 5 chapters.
Category: Business. ISBN: 9781402058622

Foundations of Data Quality Management

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Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large amount of data, focusing on the quantity of data. However, real-life data are often dirty: inconsistent, duplicated, inaccurate, incomplete, or stale. Dirty data in a database routinely generate misleading or biased analytical results and decisions, and lead to loss of revenues, credibility and customers. With this comes the need for data quality management. In contrast to traditional data management tasks, data quality management enables the detection and correction of errors in the data, syntactic or semantic, in order to improve the quality of the data and hence, add value to business processes. While data quality has been a longstanding problem for decades, the prevalent use of the Web has increased the risks, on an unprecedented scale, of creating and propagating dirty data. This monograph gives an overview of fundamental issues underlying central aspects of data quality, namely, data consistency, data deduplication, data accuracy, data currency, and information completeness. We promote a uniform logical framework for dealing with these issues, based on data quality rules.The text is organized into seven chapters, focusing on relational data. Chapter One introduces data quality issues. A conditional dependency theory is developed in Chapter Two, for capturing data inconsistencies. It is followed by practical techniques in Chapter 2b for discovering conditional dependencies, and for detecting inconsistencies and repairing data based on conditional dependencies. Matching dependencies are introduced in Chapter Three, as matching rules for data deduplication. A theory of relative information completeness is studied in Chapter Four, revising the classical Closed World Assumption and the Open World Assumption, to characterize incomplete information in the real world. A data currency model is presented in Chapter Five, to identify the current values of entities in a database and to answer queries with the current values, in the absence of reliable timestamps. Finally, interactions between these data quality issues are explored in Chapter Six. Important theoretical results and practical algorithms are covered, but formal proofs are omitted. The bibliographical notes contain pointers to papers in which the results were presented and proven, as well as references to materials for further reading.This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of data quality. The fundamental research on data quality draws on several areas, including mathematical logic, computational complexity and database theory. It has raised as many questions as it has answered, and is a rich source of questions and vitality.Table of Contents: Data Quality: An Overview / Conditional Dependencies /
Category: Computers. ISBN: 9781608457779

Quality Management in ART Clinics

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This unique book collates the knowledge of leaders in key areas worldwide and provides easily adoptable guidance on implementing and improving formalized quality management systems, beginning with an overview of primary regulation in the ART field.
Category: Health & Fitness. ISBN: 9781441971388

Information Quality and Management Accounting

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One of the main aims of management accounting is to provide managers with accurate information in order to provide a good basis for decision-making. There is evidence that the information provided by management accounting systems (MAS) is distorted and the occurrence of biases in accounting information is widely accepted among users of MAS. At the same time, the intensity and the frequency of use of MAS increase, too. Consequently, the quality of the provided information is critical. The focus of this simulation study is twofold. On the one hand, the impact of the sophistication of traditional costing systems on error propagation in the case of a set of input biases is investigated. On the other hand, the impact of single and multiple input biases on the quality of the information provided by traditional costing systems isfocused. In order to investigate the research questions, a simulation approach is applied.
Category: Business. ISBN: 9783642332081
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