Quantitative information fusion for hydrological sciences / Xing Cai, T.-C. Jim Yeh (eds.).

Other author Cai, Xing.
Other author Yeh, T.-C. (Tian-Chyi)
Format Electronic
Publication InfoBerlin : Springer,
Descriptionviii, 218 p. : ill. ; 24 cm.
Supplemental ContentFull text available from SpringerLINK Studies in Computational Intelligence Contemporary (1997-present)
Subjects

SeriesStudies in computational intelligence ; v. 79
Contents Data fusion methods for integrating data-driven hydrological models / Linda See -- A new paradigm for groundwater modeling / Shu-Guang Li, Qun Liu -- Information fusion using the Kalman filter based on Karhunen-Loève decomposition / Zhiming Lu, Dongxiao Zhang, Yan Chen -- Trajectory-based methods for modeling and characterization / D. W. Vasco -- The role of streamline models for dynamic data assimilation in petroleum engineering and hydrogeology / Akhil Datta-Gupta ... [et al.] -- Information fusion in regularized inversion of tomographic pumping tests / Geoffrey C. Bohling -- Advancing the use of satellite rainfall datasets for flood prediction in ungauged basins: the role of scale, hydrologic process controls and the Global Precipitation Measurement mission / Faisal Hossain, Nitin Katiyar -- Integrated methods for urban groundwater management considering subsurface heterogeneity / Jannis Epting ... [et al.].
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2007937225
ISBN9783540753834 (cased)
ISBN3540753834 (cased)
ISBN3540753842 (ebk.)
ISBN9783540753841 (ebk.)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available