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From the Publisher'The book is a valuable text for advanced students and research scientists in very different fields as biology, soil science, hydrogeology, ecology.'
This book contains selected contributions from the geoENV96 - First European Conference on Geostatistics for Environmental Applications, held in Lisbon in November 1996.
This is the first of a geoENV series of biennial planned books. The series is intended to show the state of the art of geostatistics in environmental applications with new cases, results and relevant discussions from leading researchers and practitioners around the world.
New and important theoretical and practical developments of geostatistics in the environmental field were compiled from three main areas:
• Hydrology, Groundwater and Groundwater Contamination
• Soil Contamination and Site Remediation
• Air Pollution, Ecology and Other Applications
The book presents a set of geostatistical tools and approaches used to successfully resolve a variety of specific problems in environment modelling, especially those resulting from the typical scarcity of spatial sampling, the time component of very dynamic systems, the modelling of various systems of contaminants, the uncertainty assessment of health cost functions, etc.
Prominent topics concerning methodological tools and methods, shastic simulation techniques, models of integrating soft information (seismic and remote sensing images), inverse modelling of groundwater flow, neural network classification, change of support and up-scaling are also included in this book.
This publication will be of great interest and practical value to geostatisticians working both in universities and in industry.
Hydrology, Groundwater, Groundwater Contamination. Equivalent Transmissivities in Heterogeneous Porous Media under Radially Convergent Flow; X. Sánchez-Vila, et al. Inverse Modelling of Groundwater Flow Incorporating Parameter, Boundary and Initial Conditions and Model Error Uncertainty; J. Valstar, et al. Geostatistical Analysis of Fractured Rock Characteristics; R. Lunn, R. Mackay. On the Application of Shastic Inverse Modelling to the Fractured Semi-Confined Aquifer of Bagueixe, Portugal; J.P. Lobo-Ferreira. Solute Transport in Single and Multiple Scale Heterogeneous Formations: Numerical Experiments; A. Elfeki, et al. Numerical Aspects of the Universal Kriging Method for Hydrological Applications; C. Lopez, J. Samper. The Use of Conservative Mass Transport Analysis as a Quick Look Tool to Rank Geostatistical Realizations of Heterogeneous Structures; M. Vert, et al. Simplified Renormalization: A New Quick Upscaling Technique; P. Renard, et al. Impact of Random Function Choice on Groundwater Mass Transport Modelling; H. Franssen, J.J. Gómez-Hernández. Mapping Spatial and Temporal Variation of Groundwater Quality in the Netherlands; E. Pebesma, J.W. Kwaadsteniet. A Model of Aquifer Heterogeneity; G. Moltyaner. Geostatistical Study of Nitrate Contents in the Aquifers of Campo de Dalias (SE Spain); R. Jimémez-Espinosa, et al. Evaluation of Reactive Transport Processes in a Heterogeneous Porous Aquifer within a Non-Parametric Numerical Shastic Transport Modelling Framework Based on Sequential Indicator Simulation of Categorical Variables; T. Ptak. Parameter Estimation for Groundwater Models by Indicator Kriging; M.-Th. Schafmeister. Numerical Characterization of Contaminant Transport in Nested Two-Scale Porous Media; Feng Ruan, D. McLaughlin. Interpolation of Groundwater Quality Parameters Using Additional Information; A. Bárdossy, et al. A Neural Network Aided Filtering Algorithm for Diagnosing and Predicting Nonlinear Contaminant Transport Dynamics; M. Nonaka, N. Thomas. Hydrological Modelling of Distributed Rainfall/Run-off in the Watershed of Guadiana; F. Gomes, et al. Spatial Correlations of Hydrochemical Parameters; L. Guadagnini. Seasonal Variations on Systems of Triple Influence. The Importance of Silicate Weathering, Soil Fertilization and Domestic Effluents to the Composition of Stream Water as Determined by Correspondence Analysis; A.M.P. Alencoão, et al. Soil Contamination, Site Remediation. Kriging vs Shastic Simulation for Risk Analysis in Soil Contamination; P. Goovaerts. A Framework for Optimization of Soil Sampling Strategy and Soil Remediation Scenario Decisions Using Moving Window Kriging; C. Van Tooren, M. Mosselman. Analysis of Solute Redistribution in Heterogeneous Soil: I. Geostatistical Approach to Describe the Spatial Scaling Factors; D. Jacques, et al. Analysis of Solute Redistribution in Heterogeneous Soil: II. Numerical Simulation of Solute Transport; J. Vanderborght, et al. Simulating Locational Error in Field-Based Measurements of Reflectance; P. Atkinson. Application of Geostatistics to 3D Modelling of Contaminated Sites: A Case Study; M. Garcia, R. Froidevaux. Mapping Cadmium Concentration and the Risk of Exceeding a Local Sanitation Threshold Using Indicator Geostatistics; J. Mohammadi, et al. Geostatistical Methods Applied to Characterization of the Heterogeneity of the Migmatite Formation at Olkiluoto, Western Finland; E. Laine. Spatial Simulated Annealing for Optimizing Sampling. Different Optimization Criteria Compared; J.W. Van Groenigen. Improved Rainfall Estimation by Integration of Radar Data: A Geostatistical Approach; E. Cassiraga, J. Gómez-Hernández. Air Pollution, Ecology and Other Applications. Shastic Simulation of Lichen Biodiversity Using Soft Information from Remote Sensing Data; A. Soares, et al. Chernobyl Fallout: Review of Advanced Spatial Data Analysis; M. Kanevsky, et al. Space-Time Analysis of Air Pollution in Lisbon; J. Seixas, et al. Habitat Evaluation Using Logistic Regression; H. Martins, et al. Geostatistical Modeling of Species Distributions, Implications for Ecological and Biogeographical Studies; L. Hunt. Global Warming and the Weights of Rats: Uses of the Variogram in the Analysis of Longitudinal Data; J. Haslett. Variographic Refinement of North Sea Herring Acoustic Survey Data; P. Fernandes, E.J. Simmonds. Applying Geostatistics to Exposure Monitoring Data in Industrial Hygiene; H. Wackernagel, et al. Conditional Simulation and Estimation of Gauss-Markov Random Fields Using the Bayesian Nearest Neighbor Method; A. Bagtzoglou, R. Ababou. Clustering of Spatial Data by the EM Algorithm; C. Ambroise, et al.