发帖
雷达卡
Editors: Mary Fanett Wheeler
Environmental protection has become a universal issue with world-wide support. Environmental studies have now bridged the realms of academic research and societal applications. Mathematical modeling and large-scale data collection and analysis lie at the core of all environmental studies. Unfortunately, scientists, mathematicians, and engineers immersed in developing and applying environmental models, computational methods, statistical techniques and computational hardware advance with separate and often discordant paces. The volume is based on recent research designed to provide a much needed interdisciplinary forum for joint exploration of recent advances in this field.
Table of contents (19 chapters)
Front Matter
Random Porous Media Flow on Large 3-D Grids: Numerics, Performance, and Application to Homogenization
Modeling Transport Phenomena in Porous Media
Modelling of Compositional Flow in Naturally Fractured Reservoirs
A Particle-Grid Air Quality Modeling Approach
On the Equilibrium Equations of Poro-Elasticity
Eulerian-Lagrangian Localized Adjoint Methods for Reactive Transport in Groundwater
Stochastic Modeling of Rainfall
Incorporating Model Uncertainty into Spatial Predictions
Models for Flow and Transport through Porous Media Derived by Homogenization
Global Surface Temperature Changes Since the 1850s
A Multicomponent Self-Similar Characterization of Rainfall Fluctuations
Estimation of Kinetic Rate Coefficients for 2,4-D Biodegradation during Transport in Soil Columns
Modeling in Nuclear Waste Isolation: Approximate Solutions for Flow in Unsaturated Porous Media
Similarity Solutions for Gravity-Dominated Spreading of a Lens of Organic Contaminant
Application of Optimal Data Assimilation Techniques in Oceanography
Mathematical Physics of Infiltration on Flat and Sloping Topography
A Note Concerning Multivariate Total Positivity on the Simplex
Spatial Analysis for Environmental Studies
On Diagonalization of Coupled Hydrologic Transport and Geochemical Reaction Equations
Back Matter
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Environmental Studies_Mathematical, Computational, and Statistical Analysis.pdf
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