Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence
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8

(FIVE YEARS 0)

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3

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783540753834, 9783540753841

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A New Paradigm for Groundwater Modeling

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_2 ◽

2008 ◽

pp. 19-41 ◽

Author(s):

Shu-Guang Li ◽

Qun Liu

Keyword(s):

Groundwater Modeling ◽

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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

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_7 ◽

2008 ◽

pp. 163-181 ◽

Author(s):

Faisal Hossain ◽

Nitin Katiyar

Keyword(s):

Ungauged Basins ◽

Flood Prediction ◽

Hydrologic Process ◽

Precipitation Measurement ◽

Satellite Rainfall ◽

Global Precipitation Measurement ◽

Global Precipitation ◽

Process Controls

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Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_3 ◽

2008 ◽

pp. 43-68

Author(s):

Zhiming Lu ◽

Dongxiao Zhang ◽

Yan Chen

Keyword(s):

Kalman Filter ◽

Information Fusion

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Information Fusion in Regularized Inversion of Tomographic Pumping Tests

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_6 ◽

2008 ◽

pp. 137-162 ◽

Author(s):

Geoffrey C. Bohling

Keyword(s):

Information Fusion ◽

Pumping Tests ◽

Regularized Inversion

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Data Fusion Methods for Integrating Data-driven Hydrological Models

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_1 ◽

2008 ◽

pp. 1-18 ◽

Author(s):

Linda See

Keyword(s):

Data Fusion ◽

Data Driven ◽

Hydrological Models ◽

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The Role of Streamline Models for Dynamic Data Assimilation in Petroleum Engineering and Hydrogeology

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_5 ◽

2008 ◽

pp. 105-136 ◽

Author(s):

Akhil Datta-Gupta ◽

Deepak Devegowda ◽

Dayo Oyerinde ◽

Hao Cheng

Keyword(s):

Data Assimilation ◽

Petroleum Engineering ◽

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Trajectory-Based Methods for Modeling and Characterization

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_4 ◽

2008 ◽

pp. 69-103 ◽

Author(s):

D. W. Vasco

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Integrated Methods for Urban Groundwater Management Considering Subsurface Heterogeneity

Quantitative Information Fusion for Hydrological Sciences - Studies in Computational Intelligence ◽

10.1007/978-3-540-75384-1_8 ◽

2008 ◽

pp. 183-218 ◽

Author(s):

Jannis Epting ◽

Peter Huggenberger ◽

Christian Regli ◽

Natalie Spoljaric ◽

Ralph Kirchhofer

Keyword(s):

Groundwater Management ◽

Urban Groundwater ◽

Subsurface Heterogeneity ◽

Integrated Methods

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