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Global environmental change: modelling and monitoring [Libro electrónico] / autores: Kirill Ya. Kondratyev, Vladimir F. Krapivin, Gary W. Phillips

Por: Kondratyev, Kirill Ya [autor/a].
Krapivin, Vladimir F [autor/a] | Phillips, Gary W [autor/a].
Tipo de material: Libro en línea Libro en línea Editor: New York, New York, United States: Springer, c2002Descripción: xiv, 316 páginas : ilustraciones ; 24 centímetros.ISBN: 3540433732; 9783642077739 (Print); 9783662049419 (Online).Tema(s): Global environmental changeNota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso Nota de bibliografía: Incluye bibliografía e índice: páginas 299-312 Número de sistema: 56497Contenidos:Mostrar Resumen:
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The growing number of published works dedicated to global environmental change leads to the realization that protection of the natural environment has become an urgent problem. The question of working out principles of co­ evolution of man and nature is being posed with ever-increasing persistence. Scientists in many countries are attempting to find ways of formulating laws governing human processes acting on the environment. Numerous national and international programs regarding biosphere and climate studies contribute to the quest for means of resolving the conflict between human society and nature. However, attempts to find efficient methods of regulating human activity on a global scale encounter principal difficulties. The major difficulty is the lack of an adequate knowledge base pertaining to climatic and biospheric processes as wen as the largely incomplete state of the databases concerning global processes occurring in the atmosphere, in the ocean, and on land. Another difficulty is the inability of modern science to formulate the requirements which must be met by the global databases necessary for reliable evaluation of the state of the environ­ ment and fore casting its development for sufficiently long time intervals.

Recurso en línea: http://link.springer.com/openurl?genre=book&isbn=978-3-642-07773-9
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Recursos en línea (RE) 		Acervo General Recurso digital ECO400564978094

Incluye bibliografía e índice: páginas 299-312

1. Introduction.. 2. The basic principles of global ecoinformatics.. 3. Mathematical model for global ecological investigations.. 4. Modeling of ocean ecosystem dynamics.. 5. Application of a global model to the study of arctic basin pollution.. 6. Estimation of the Peruvian current ecosystem.. 7. A new technology for monitoring environment in the Okhotsk sea.. 8. Pollutant dynamics in the angara-yenisey river system.. 9. Realization of GIMs technology for the study of the aral-caspian aquageosystem.. 10. Monitoring of the seas in the oil and gas extraction zones.. 11. Decision-making procedures in environmental monitoring systems.. Index

Disponible para usuarios de ECOSUR con su clave de acceso

The growing number of published works dedicated to global environmental change leads to the realization that protection of the natural environment has become an urgent problem. The question of working out principles of co­ evolution of man and nature is being posed with ever-increasing persistence. Scientists in many countries are attempting to find ways of formulating laws governing human processes acting on the environment. Numerous national and international programs regarding biosphere and climate studies contribute to the quest for means of resolving the conflict between human society and nature. However, attempts to find efficient methods of regulating human activity on a global scale encounter principal difficulties. The major difficulty is the lack of an adequate knowledge base pertaining to climatic and biospheric processes as wen as the largely incomplete state of the databases concerning global processes occurring in the atmosphere, in the ocean, and on land. Another difficulty is the inability of modern science to formulate the requirements which must be met by the global databases necessary for reliable evaluation of the state of the environ­ ment and fore casting its development for sufficiently long time intervals. eng

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