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130713s2013 xx o 000 0 eng d |
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|a EBLCP
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|a 9781118671801
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|a 1118671805
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|a (OCoLC)852756524
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|a GB1197.7 .S84 2013
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|a 551.49
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|a UAMI
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|a Hyndman, David W.
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|a Subsurface Hydrology :
|b Data Integration for Properties and Processes.
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|a Hoboken :
|b Wiley,
|c 2013.
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|a 1 online resource (262 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Geophysical Monograph Series ;
|v 171
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|a Title Page; Contents; Preface; Introduction; I. Approaches to Data Integration; A Review of Geostatistical Approaches to Data Fusion; On Stochastic Inverse Modeling; II. Data Integration for Property Characterization; A Comparison of the Use of Radar Images and Neutron Probe Data to Determine the Horizontal Correlation Length of Water Content; Integrating Statistical Rock Physics and Sedimentology for Quantitative Seismic Interpretation; A Geostatistical Approach to Integrating Data From Multiple and Diverse Sources: An Application to the Integration of Well Data.
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|a A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions From Multiple Monitoring EventsA Bayesian Approach for Combining Thermal and Hydraulic Data; Fusion of Active and Passive Hydrologic and Geophysical Tomographic Surveys: The Future of Subsurface Characterization; III. Data Integration to Understand Hydrologic Processes; Evaluating Temporal and Spatial Variations in Recharge and Streamflow Using the Integrated Landscape Hydrology Model (ILHM).
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|a Integrating Geophysical, Hydrochemical, and Hydrologic Data to Understand the Freshwater Resources on Nantucket Island, MassachusettsIntegrating Hydrologic and Geophysical Data to Constrain Coastal SurficialAquifer Processes at Multiple Spatial and Temporal Scales; Examining Watershed Processes Using Spectral Analysis Methods Including the Scaled- Windowed Fourier Transform; Integrated Multi-Scale Characterization of Ground-Water Flow and Chemical Transport in Fractured Crystalline Rock at the Mirror; IV. Meta Analysis.
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|a Accounting for Tomographic Resolution in Estimating Hydrologic Properties from Geophysical DataA Probabilistic Perspective on Nonlinear Model Inversion and Data Assimilation.
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|a Published by the American Geophysical Union as part of the Geophysical Monograph Series. Groundwater is a critical resource and the PrinciPal source of drinking water for over 1.5 billion people. In 2001, the National Research Council cited as a ""grand challenge"" our need to understand the processes that control water movement in the subsurface. This volume faces that challenge in terms of data integration between complex, multi-scale hydrologie processes, and their links to other physical, chemical, and biological processes at multiple scales. Subsurface Hydrology: Data In.
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588 |
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|a Print version record.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Groundwater flow
|x Mathematical models.
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650 |
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|a Hydrogeology.
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650 |
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|a Eau souterraine
|x Écoulement
|x Modèles mathématiques.
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650 |
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6 |
|a Hydrogéologie.
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650 |
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|a Groundwater flow
|x Mathematical models
|2 fast
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650 |
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7 |
|a Hydrogeology
|2 fast
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700 |
1 |
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|a Day-Lewis, Frederick D.
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700 |
1 |
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|a Singha, Kamini.
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758 |
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|i has work:
|a Subsurface Hydrology [electronic resource] (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCYbFtqdPQHBd7W7GBMBGxP
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Hyndman, David W.
|t Subsurface Hydrology : Data Integration for Properties and Processes.
|d Hoboken : Wiley, ©2013
|z 9780875904375
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830 |
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|a Geophysical monograph ;
|v 171.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1184574
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL1184574
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994 |
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|a 92
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