Two basic tools for integrated management of the environment are modeling and environmental data. Both tools were available and valid in the past; however, the recent requirements for integrated environmental management have also led to a significant evolution of both modeling procedures and data management systems. Regarding these advances, current literature provides vast amounts of studies on modeling of different environmental processes. However, issues related to data management systems are barely touched on in a comprehensive framework. Data requirements and data availability are mentioned merely as subtopics in most environmental studies, although it is well recognized that data constitute the basis for all environmental management activities. In particular, there is no book yet published that focuses exclusively on data management systems. In this respect, the present book fills an important gap by providing a systematic approach to various aspects of environmental data management. The contents of the book follow the basic steps that constitute an environmental data management system. These steps cover in sequence: collection of environmental data for assessing air quality, surface water quality and solid waste management; reliability considerations in data collection; storage, handling and retrieval of available data; transfer of data into information via data analysis and environmental modeling; and finally the use of available data in decision-making for environmental management. This volume will be useful to faculty members, researchers, professional engineers, planners and managers, and graduate students, who are involved in environmental management, data collection anddissemination, and information retrieval. It will also be of interest to research and data centres, international programmes and organizations related to environmental management.

In recent years, the adequacy of collected water quality data and the performance of existing monitoring networks have been seriously evaluated for two basic reasons. First, an efficient information system is required to satisfy the needs of water quality management plans and to aid in the decision-making process. Second, this system has to be realized under the constraints of limited financial resources, sampling and analysis facilities, and manpower. Problems observed in available data and shortcomings of current networks have led researchers to focus more critically on the design procedures used. The book is intended to present an up-to-date overview of the current network design procedures and develop basic guidelines to be followed in both the design and the redesign of water quality monitoring networks. The book treats the network design problem in a comprehensive and systematic framework, starting with objectives of monitoring and elaborating on various technical design features, e.g. selection of sampling sites, sampling frequencies, variables to be monitored, and sampling duration. The design procedures presented are those that the authors have recently applied in a number of national and international projects on the design and redesign of water quality monitoring networks. Thus, the book covers real case studies where not only the methods described in the earlier titles are used but also new techniques are introduced. Where earlier methods are used, they are assessed with respect to their efficiency and applicability to real case problems. Audience: Essentially, the framework adopted in the book applies as well to other hydrometric data collection networks besides those of water quality. In this respect, it is expected that planners, designers, scientists, and engineers who are involved in hydrometric network design will benefit from the in-depth approach assumed in this book. It will also be of interest to research and data centers, international programs and organizations related to environmental monitoring. The book may also be used as a reference text in graduate courses of water resources and environmental engineering programs.

An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction. The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.

In recent years, the adequacy of collected water quality data and the performance of existing monitoring networks have been seriously evaluated for two basic reasons. First, an efficient information system is required to satisfy the needs of water quality management plans and to aid in the decision-making process. Second, this system has to be realized under the constraints of limited financial resources, sampling and analysis facilities, and manpower. Problems observed in available data and shortcomings of current networks have led researchers to focus more critically on the design procedures used. The book is intended to present an up-to-date overview of the current network design procedures and develop basic guidelines to be followed in both the design and the redesign of water quality monitoring networks. The book treats the network design problem in a comprehensive and systematic framework, starting with objectives of monitoring and elaborating on various technical design features, e.g. selection of sampling sites, sampling frequencies, variables to be monitored, and sampling duration. The design procedures presented are those that the authors have recently applied in a number of national and international projects on the design and redesign of water quality monitoring networks. Thus, the book covers real case studies where not only the methods described in the earlier titles are used but also new techniques are introduced. Where earlier methods are used, they are assessed with respect to their efficiency and applicability to real case problems. Audience: Essentially, the framework adopted in the book applies as well to other hydrometric data collection networks besides those of water quality. In this respect, it is expected that planners, designers, scientists, and engineers who are involved in hydrometric network design will benefit from the in-depth approach assumed in this book. It will also be of interest to research and data centers, international programs and organizations related to environmental monitoring. The book may also be used as a reference text in graduate courses of water resources and environmental engineering programs.

The diverse nature of environmental problems mankind has encountered within the last decade has developed a new understanding of the nature of environmental processes. Currently, the environment is considered as a continuum of air, soil and water as the vital components for sustaining life on earth. The interactive nature of these components requires that the environment is managed and protected as a cohesive whole. This can only be accomplished through an integrated approach to environmental management. Besides the concept of environmental continuum, prospects for sustainable development of natural resources and the recent recognition of global climate change impacts have also necessitated such an integrated approach to environmental management. Two basic tools for integrated management of the environment are modeling and environmental data. Both tools were available and valid in the past; however, the recent requirements for integrated environmental management have also led to a significant evolution of both modeling procedures and data management systems.