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Risk Assessment as a Tool for Water Resources Decision-Making in Central Asia

Proceedings of the NATO Advanced Research Workshop on Risk Assessment as a Tool for Water Resources Decision-Making in Central Asia Almaty, Kazakhstan 23–25 September 2002

Produktform: E-Buch Text Elektronisches Buch in proprietärem

Water resources, both in terms of water quality and water quantity, are of critical importance in planning for sustainable development in Central Asia and the Caucasus, as well as in other parts of the world. This NATO Advanced Research Workshop (ARW), entitled "Risk Assessment as a Tool for Water Resources Decision-Making in Central Asia", was conducted on September 23-25, 2002 in Almaty, Kazakhstan. The ARW addressed methods and approaches by which risk assessment methodology that has been developed in the United States, Europe and elsewhere can be applied to environmental and water resource problems in Central Asia. The stated goals of the ARWwere: • to assess the existing state of knowledge in the context of potential applications of risk assessment tools to water resources and other environmental issues in Central Asia; • to identify research gaps and directions for future research in the area of water resources which may be addressed through the application of risk assessment tools; • to promote closer working relationships between the scientists and technical experts from Central Asia and the Caucasus, as well as the scientists and technical experts from the United States and Europe. Based on historical experiences of Central Asian scientists and their colleagues in other parts of the world, there is a demonstrated need in the region to provide education, training and technical assistance on environmental decision-making tools, including risk assessment.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978- / 978-9400710504 / 9789400710504

Verlag: Springer Netherland

Erscheinungsdatum: 06.12.2012

Seiten: 324

Herausgegeben von Mikhail Kh. Khankhasayev, Christopher M. Teaf, Bulat K. Yessekin

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