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Quantitative information fusion for hydrological sciences. (English) Zbl 1137.76004
Studies in Computational Intelligence 79. Berlin: Springer (ISBN 978-3-540-75383-4/hbk). ix, 218 p. (2008).

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The articles of this volume will be reviewed individually.
Indexed articles:
See, Linda, Data fusion methods for integrating data-driven hydrological models, 1-18 [Zbl 1323.76087]
Li, Shu-Guang; Liu, Qun, A new paradigm for groundwater modeling, 19-41 [Zbl 1323.76086]
Lu, Zhiming; Zhang, Dongxiao; Chen, Yan, Information fusion using the Kalman filter based on Karhunen-Loève decomposition, 43-68 [Zbl 1323.76111]
Vasco, D. W., Trajectory-based methods for modeling and characterization, 69-103 [Zbl 1323.76089]
Datta-Gupta, Akhil; Devegowda, Deepak; Oyerinde, Dayo; Cheng, Hao, The role of streamline models for dynamic data assimilation in petroleum engineering and hydrogeology, 105-136 [Zbl 1323.76085]
MSC:
76-06 Proceedings, conferences, collections, etc. pertaining to fluid mechanics
86-06 Proceedings, conferences, collections, etc. pertaining to geophysics
00B15 Collections of articles of miscellaneous specific interest
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