
Proceedings Paper
The benefit valuation method and analytical study of profession meteorological service in ChinaFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper analyzes the position and function of the meteorological work in the whole national economy construction,
studies the concept, classification and characteristics of the meteorological service, focuses on the basic thoughts of the
benefit valuation of profession meteorological service, determines the basic methods of studying the high
meteorology-sensitive industry, analyzes the basic methods of determining the profession annual value ratio of
production occupied by the high meteorology-sensitive industry. Based on the above works, the Chinese high
meteorology-hypersensitive industry is put forward, the benefit of meteorological service of the typical operation of the
high meteorology-sensitive industry is analyzed, the profession annual value ratio of production occupied by the high
meteorology-sensitive industry is obtained, and the benefit of the national profession meteorological service is initially
assessed through the expert valuation method (Dephi method). At the present level of meteorological service and
economic development, the annual mean efficiency of meteorological service is no less than 279 billion 3 million
yuan.( The cost is not included.)
Paper Details
Date Published: 22 October 2007
PDF: 9 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66791Q (22 October 2007); doi: 10.1117/12.729333
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
PDF: 9 pages
Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 66791Q (22 October 2007); doi: 10.1117/12.729333
Show Author Affiliations
ZhenHe Ren, Nanjing Univ. of Information Science and Technology (China)
China Meteorological Administration (China)
ZhaoBo Sun, Nanjing Univ. of Information Science and Technology (China)
China Meteorological Administration (China)
ZhaoBo Sun, Nanjing Univ. of Information Science and Technology (China)
ShanYun Song, National Meteorological Ctr. (China)
BangZhong Wang, China Meteorological Administration (China)
BangZhong Wang, China Meteorological Administration (China)
Published in SPIE Proceedings Vol. 6679:
Remote Sensing and Modeling of Ecosystems for Sustainability IV
Wei Gao; Susan L. Ustin, Editor(s)
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