Stochastic Modeling In Hydrogeology
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Stochastic Modeling in Hydrogeology
Author: J. Jaime Gómez-Hernández
language: en
Publisher: Frontiers Media SA
Release Date: 2021-07-14
Dr. Andres Alcolea is employed by Geo-Energie Suisse AG and is the funder and CEO of HydroGeoModels. All other Topic Editors declare no competing interests with regards to the Research Topic subject
Stochastic Methods in Hydrology
Author: Ole E. Barndorff-Nielsen
language: en
Publisher: World Scientific
Release Date: 1998
This book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space-time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory.
Hydrogeology and Groundwater Modeling
Quantitative Solutions in Hydrogeology and Groundwater Modeling addresses and solves a variety of questions and problems from hydrogeological practice. It includes major aspects of quantitative groundwater evaluation, from basic laboratory determination of hydrogeological parameters to complex analytical calculations and modeling for engineering purposes. Groundwater modeling is a strong trend in hydrogeology. Recent years have seen the rapid development of sophisticated and powerful groundwater models, along with a decrease in the use of the more mathematically demanding analytical quantitative solutions. Quantitative Solutions in Hydrogeology and Groundwater Modeling avoids this conflict by explaining both modeling and mathematical solutions in detail.