Quantitative Information Fusion for Hydrological Sciences - Cai, Xing.; Jim Yeh, T.-C.; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008)
Data Fusion Methods for Integrating Data-driven Hydrological Models -- A New Paradigm for Groundwater Modeling -- Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition -- Trajectory-Based Methods for Modeling and Characterization -- The Role of Streamline Models for Dynamic Data Assimilation in Petroleum Engineering and Hydrogeology -- Information Fusion in Regularized Inversion of Tomographic Pumping Tests -- 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 -- Integrated Methods for Urban Groundwater Management Considering Subsurface Heterogeneity.
Keywords: Hydrogeology; Applied mathematics; Engineering mathematics; Hydrology; Geotechnical engineering; Artificial intelligence; Hydrogeology; Mathematical and Computational Engineering; Hydrology/Water Resources; Geotechnical Engineering & Applied Earth Sciences; Artificial Intelligence