Edición de la obra Environmental data management
| Autor | Nilgun Harmancioǧlu, Singh, V. P., M. Necdet Alpaslan |
|---|---|
| Fecha de publicación | 2010 |
| Idioma | inglés |
| Páginas | 298 |
| ISBN-13 | 9789401590563, 9789048149513 |
| ISBN-10 | 9401590567, 9048149517 |
| OCLC | 861705991 |
| Serie | Water science and technology library -- 27 · Water science and technology library -- 27. |
| Número de Cutter |
H287eTwo 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.