书目名称 | Entropy-Based Parameter Estimation in Hydrology | 编辑 | Vijay P. Singh | 视频video | | 丛书名称 | Water Science and Technology Library | 图书封面 |  | 描述 | Since the pioneering work of Shannon in the late 1940‘s on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past | 出版日期 | Book 1998 | 关键词 | environment; environmental science; hydrology; hydrogeology | 版次 | 1 | doi | https://doi.org/10.1007/978-94-017-1431-0 | isbn_softcover | 978-90-481-5089-2 | isbn_ebook | 978-94-017-1431-0Series ISSN 0921-092X Series E-ISSN 1872-4663 | issn_series | 0921-092X | copyright | Springer Science+Business Media Dordrecht 1998 |
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