This volume contains forty-one selected full-text contributions from the Fourth European Conference on Geostatistics for Environmental Applications, geoEnv Iv, held in Barcelona, Spain, November 2002. The objective of the editors was to compile a set of papers from which the reader could perceive how geostatistics is applied within the environmental sciences. A few selected theoretical contributions are also included. The papers are organized in the following sections:
- Air pollution and satellite images,
- Ecology and environment,
- Hydrogeology,
- Climatology and rainfall,
- Oceanography,
- Soil science,
- Methodology.
Applications of geostatistics vary from particle matter analysis, land cover classification, space-time ozone mapping, downscaling of precipitation, contaminant transport in the subsurface, aquifer reclamation, analysis of Iberian hare or phytoplankton abundance, coastal current patterns, to soil pollution by heavy metals or dioxins. At the back of the book nineteen posters presented at the congress are included.
The combination of full texts and posters provides a picture of the tendencies that can presently be found in Europe regarding the applications of geostatistics for environmentally related problems.
Audience: After four editions the geoEnv Congress Series has established itself as a 'must' to all scientists working in the field of geostatistics for environmental applications. Each geoEnv congress covers the developments which have occurred during the preceding two years, but always with a highly applied focus. It is precisely this focus on the applications to environmental sciences which makes the geoEnv volumes unique and of great interest and practical value to geostatisticians working both in academia and in industry.
FOREWORD ORGANIZING COMMITTEE AND LIST OF REFEREES SPONSORS OF THE CONFERENCE KEYNOTE PAPERS Two statistical methods for improving the analysis of large climatic data sets: General skewed kalman filters and distributions of distributions NAVEAU P., VRAC M., GENTON M.G., CHÉDIN A. AND DIDAY E. AIR POLLUTION & SATELLITE IMAGES Super–resolution land cover classification using the two–point histogram ATKINSON P.M. Non parametric variogram estimator. Application to air pollution data BEL L. Improving satellite image forest cover classification with field data using direct sequential co–simulation BIO A.M.F., CARVALHO H., MAIO P. AND ROSARIO L. Use of factorial kriging to incorporate meteorological information in estimation of air pollutants CAETANO H., PEREIRA M.J. AND GUIMARÃES C. High resolution ozone mapping using instruments on the nimbus 7 satellite and secondary information CHRISTAKOS G., KOLOVOS A., SERRE M.L. AND ABHISHEK C. Geostatistical digital image merging DELGADO–GARCÍA J., CHICA–OLMO M. AND ABARCA– HERNÁNDEZ F. On the effect of positional uncertainty in field measurements on the atmospheric correction of remotely sensed imagery HAMM N., ATKINSON P.M. AND MILTON E.J. Geostatistical space–time simulation model for characterization of air quality NUNES C. AND SOARES A. Soft data space/time mapping of coarse particulate matter annual arithmetic average over the U.S. SERRE M.L., CHRISTAKOS G. AND LEE S.J. ECOLOGY & ENVIRONMENT Characterization of population and recovery of Iberian hare in Portugal through direct sequential co–simulation ALMEIDA J., SANTOS E. AND BIO A. Uncertainty management forenvironmental risk assessment using geoestatistical simulations DERAISME J., JAQUET O. AND JEANNEE N. A spatial assessment of the average annual water balance in Andalucia VANDERLINDEN K., GIRÁLDEZ J.V. AND MEIRVENNE. M.V. Modeling phytoplankton: covariance and variogram model specification for phytoplankton levels in lake Michigan WELTY L.J. AND STEIN M.L. HYDROGEOLOGY Geostatistical inverse problem: A modified technique for characterizing heterogeneous fields ALCOLEA A., MEDINA A., CARRERA, J. AND JÓDAR J. 2D particle tracking under radial flow in heterogeneous media conditioned at the well AXNESS C.L., GÓMEZ J.J. AND CARRERA J. Comparison of geostatistical algorithms for completing groundwater monitoring well timeseries using data of a nearby river BARABAS N. AND GOOVAERTS P. A geostatistical model for distribution of facies in highly heterogeneous aquifers GUADAGNINI L., GUADAGNINI A. AND TARTAKOVSKY D. Influence of uncertainty of mean transmissivity, transmissivity variogram and boundary conditions on estimation of well capture zones HENDRICKS H.J., STAUFFER F. AND KINZELBACH W. Evaluation of different measures of flow and transport connectivity of geologic media KNUDBY C. AND CARRERA J. Modeling of reactive contaminant transport in hydraulically and hidrogeochemically heterogeneous aquifers using a geostatistical facies approach PTAK T. AND LIEDL R. Effect of heterogeneity on aquifer reclamation time RIVA M., SÁNCHEZ–VILA X., DE SIMONI M., GUADAGNINI A. AND WILLMAM M. METHODOLOGY Spatial prediction of categorical variables: the BME approach BOGAERT P. AND D’OR D. Optimizing sampling for acceptable accuracy levels
