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ORCIDQuantitative Information Fusion for Hydrological Sciences 2008
- Xing Cai, T.-C. Jim Yeh:
Quantitative Information Fusion for Hydrological Sciences. Studies in Computational Intelligence 79, Springer 2008, ISBN 978-3-540-75383-4 - Linda M. See:
Data Fusion Methods for Integrating Data-driven Hydrological Models. 1-18 - Shu-Guang Li, Qun Liu:
A New Paradigm for Groundwater Modeling. 19-41 - Zhiming Lu
, Dongxiao Zhang, Yan Chen:
Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition. 43-68 - D. W. Vasco:
Trajectory-Based Methods for Modeling and Characterization. 69-103 - Akhil Datta-Gupta, Deepak Devegowda, Dayo Oyerinde, Hao Cheng:
The Role of Streamline Models for Dynamic Data Assimilation in Petroleum Engineering and Hydrogeology. 105-136 - Geoffrey C. Bohling:
Information Fusion in Regularized Inversion of Tomographic Pumping Tests. 137-162 - Faisal Hossain, Nitin Katiyar:
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. 163-181 - Jannis Epting, Peter Huggenberger, Christian Regli, Natalie Spoljaric, Ralph Kirchhofer:
Integrated Methods for Urban Groundwater Management Considering Subsurface Heterogeneity. 183-218
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