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Bayesian Approach to Support Design of a Groundwater Long Term Monitoring Plan

by David E. Dougherty,
Steve Young,
Donna Rizzo,
Trevor Budge,



Document Type: Proceeding Paper

Part of: World Water & Environmental Resources Congress 2003

Abstract:

This paper discusses a retrospective data assimilation approach that allows one to examine the spatial and temporal differences between forecast and observed states. Their stability, or lack thereof, becomes a databased quantifiable design parameter.

Subject Headings: Bayesian analysis | Groundwater management | Spatial data | Parameters (statistics) | Hydraulic design | Groundwater | Forecasting

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