Inverse methods in hydrogeology: Evolution and recent trends |
| |
| Affiliation: | 1. Arcadis, United States of America;2. Centre for Hydrogeology and Geothermics, University of Neuchâtel, Switzerland;3. Watermark Numerical Computing, Inc., Australia;1. Institute of Soil and Water Resources and Environmental Science, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China;2. Department of Environmental Sciences, University of California, Riverside, CA 92521, USA;1. Institute of Earth Sciences,University of Lausanne, Lausanne, Switzerland;2. ETH Zurich, Geological Institute, Zurich, Switzerland;3. Chair for Engineering Geology and Hydrogeology, RWTH Aachen, Aachen, Germany |
| |
| Abstract: | Parameter identification is an essential step in constructing a groundwater model. The process of recognizing model parameter values by conditioning on observed data of the state variable is referred to as the inverse problem. A series of inverse methods has been proposed to solve the inverse problem, ranging from trial-and-error manual calibration to the current complex automatic data assimilation algorithms. This paper does not attempt to be another overview paper on inverse models, but rather to analyze and track the evolution of the inverse methods over the last decades, mostly within the realm of hydrogeology, revealing their transformation, motivation and recent trends. Issues confronted by the inverse problem, such as dealing with multiGaussianity and whether or not to preserve the prior statistics are discussed. |
| |
| Keywords: | Heterogeneity Parameter identification Data assimilation Uncertainty Groundwater modeling |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
