A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions from Multiple Monitoring Events

  1. David W. Hyndman,
  2. Frederick D. Day-Lewis and
  3. Kamini Singha
  1. Anna M. Michalak and
  2. Shahar Shlomi

Published Online: 18 MAR 2013

DOI: 10.1029/171GM08

Subsurface Hydrology: Data Integration for Properties and Processes

Subsurface Hydrology: Data Integration for Properties and Processes

How to Cite

Michalak, A. M. and Shlomi, S. (2013) A Geostatistical Data Assimilation Approach for Estimating Groundwater Plume Distributions from Multiple Monitoring Events, in Subsurface Hydrology: Data Integration for Properties and Processes (eds D. W. Hyndman, F. D. Day-Lewis and K. Singha), American Geophysical Union, Washington, D. C.. doi: 10.1029/171GM08

Author Information

  1. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, USA

Publication History

  1. Published Online: 18 MAR 2013
  2. Published Print: 1 JAN 2007

ISBN Information

Print ISBN: 9780875904375

Online ISBN: 9781118666463

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Keywords:

  • Groundwater flow—Mathematical models

Summary

This chapter contains sections titled:

  • Introduction

  • Current Approaches to Plume Estimation

  • Methodology

  • Applications

  • Method performance and applicability

  • Conclusions