Ebook: Environmental Data Management

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.

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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 and dissemination, and information retrieval. It will also be of interest to research and data centres, international programmes and organizations related to environmental management.

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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 and dissemination, and information retrieval. It will also be of interest to research and data centres, international programmes and organizations related to environmental management.
Content:
Front Matter....Pages i-xiii
Needs for Environmental Data Management....Pages 1-12
Air Quality Modeling and Measurement....Pages 13-48
Data Needs for Solid Waste Management....Pages 49-60
Water Quality Monitoring and Network Design....Pages 61-106
Risk in Water Quality Monitoring....Pages 107-122
Environmental Data Management: Storage, Handling and Retrieval....Pages 123-140
Data Analysis....Pages 141-196
Stochastic Environmental Modeling....Pages 197-212
Modeling of Environmental Processes....Pages 213-242
Decision Making for Environmental Management....Pages 243-288
Back Matter....Pages 289-298

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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 and dissemination, and information retrieval. It will also be of interest to research and data centres, international programmes and organizations related to environmental management.
Content:
Front Matter....Pages i-xiii
Needs for Environmental Data Management....Pages 1-12
Air Quality Modeling and Measurement....Pages 13-48
Data Needs for Solid Waste Management....Pages 49-60
Water Quality Monitoring and Network Design....Pages 61-106
Risk in Water Quality Monitoring....Pages 107-122
Environmental Data Management: Storage, Handling and Retrieval....Pages 123-140
Data Analysis....Pages 141-196
Stochastic Environmental Modeling....Pages 197-212
Modeling of Environmental Processes....Pages 213-242
Decision Making for Environmental Management....Pages 243-288
Back Matter....Pages 289-298
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