Geostatistics for Environmental Applications (eBook)
XIV, 480 Seiten
Springer Berlin (Verlag)
978-3-540-26535-1 (ISBN)
The science of geostatistics is now being employed in an increasing number of disciplines in environmental sciences. This book surveys the latest applications of Geostatistics in a broad spectrum of fields including air quality, climatology, ecology, groundwater hydrology, surface hydrology, oceanography, soil contamination, epidemiology and health, natural hazards, and remote sensing.
Foreword 5
Organizing and scientific committees 6
Table of Contents 8
Contents of the CD-ROM 11
Keynote paper 14
Change of support: an inter-disciplinary challenge 14
Methods 27
Combining categorical and continuous information using Bayesian Maximum Entropy 27
Geostatistical prediction of spatial extremes and their extent 39
Monitoring network optimisation using support vector machines 50
Bayesian Kriging with lognormal data and uncertain variogram parameters 62
Kriging of scale-invariant data: optimal parameterization of the autocovariance model 74
Scaling Effects on Finite-Domain Fractional Brownian Motion Motion Motion 86
Ecology, air and health 98
The delineation of fishing times and locations for the Shark Bay scallop fishery 98
A spatial extension of CART: application to classification of ecological data 110
Using a Markov-type model to combine trawl and acoustic data in fish surveys 121
Mapping unobserved factors on vine plant mortality 134
Analysis and modelling of spatially and temporally varying phenological phases 146
Detection of spatial clusters and outliers in cancer rates using geostatistical filters and spatial neutral models 158
Geostatistical assessment of long term human exposure to air pollution 170
Air quality models resulting from multi-source emissions 182
Variogram estimation with noisy data in the space- time domain: application to air quality modelling 193
Groundwater 204
Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi- modal formations 204
Simulation of radionuclide mass fluxes in a heterogeneous clay formation locally disturbed by excavation 215
Modeling density-dependent flow using hydraulic conductivity distributions obtained by means of non- stationary indicator simulation 226
Random field approach to seawater intrusion in heterogeneous coastal aquifers: unconditional simulations and statistical analysis 238
Uncertainty estimation of well catchments: semi-analytical post- processing 253
Conditional moments of residence time of sorbent solutes under radial flow 265
Impact of the choice of the variogram model on flow and travel time predictors in radial flows 277
Strategies to determine dispersivities in heterogeneous aquifers 289
Solving the groundwater inverse problem by successive flux estimation 300
Inverse problem for highly heterogeneous porous media: the factorial geostatistical analysis in dif-ferential system method 312
Inverse stochastic estimation of well capture zones with application to the Lauswiesen site ( Tübingen, Germany) 324
Soil contamination 334
“Soft” geostatistical analysis of radioactive soil contamination 334
Modelling the spatial distribution of copper in the soils around a metal smelter in northwestern Switzerland 346
Towards a real-time multi-phase sampling strategy optimization 358
Spatio-temporal mapping of sea floor sediment pollution in the North Sea 370
Remote sensing 382
Merging Landsat TM and SPOT-P images with geostatistical stochastic simulation 382
Characterising local spatial variation in land cover using geostatistical functions and the discrete wavelet transform 394
Environment 406
Distinguishing features from outliers in automatic Kriging- based filtering of MBES data: a comparative study 406
Forecasting volcanic eruptions using geo-statistical methods 418
Delineation of estuarine management units: Evaluation of an automatic procedure 431
Estimating indicators of river quality by geostatistics 444
Stochastic simulation of rainfall using a space-time geostatistical algorithm 456
Inferring the lateral subsurface correlation structure from georadar data: Methodological background and experimental evidence 468
Author index 480
Erscheint lt. Verlag | 6.12.2005 |
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Zusatzinfo | XIV, 480 p. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geologie |
Technik | |
Schlagworte | classification • Digital Elevation Model • Ecology • Environment • Geostatistics • Kriging • Modeling • Statistics • Transport • Uncertainty |
ISBN-10 | 3-540-26535-X / 354026535X |
ISBN-13 | 978-3-540-26535-1 / 9783540265351 |
Haben Sie eine Frage zum Produkt? |
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