Xing Cai,
T.-C. Jim Yeh
Springer Berlin Heidelberg
0e druk, 2010
9783642094613
Quantitative Information Fusion for Hydrological Sciences
Specificaties
Paperback, 218 blz.
|
Engels
Springer Berlin Heidelberg |
0e druk, 2010
ISBN13: 9783642094613
Rubricering
Onderdeel van serie
Studies in Computational Intelligence
Levertijd ongeveer 8 werkdagen
Samenvatting
In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science’s future directions – namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.
Specificaties
ISBN13:9783642094613
Taal:Engels
Bindwijze:paperback
Aantal pagina's:218
Uitgever:Springer Berlin Heidelberg
Druk:0
Inhoudsopgave
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.