Presentation

Evaluating the Performance of the Ensemble Smoother for Filling Missing Groundwater Head Measurements

  • November 2015
  • Conference: AWRA Annual Water Resources Conference
  • At: Denver, Colorado, USA
Authors:
Panagiotis D. Oikonomou at University of Vermont
Panagiotis D. Oikonomou
Ayman H. Alzraiee at United States Geological Survey (USGS)
Ayman H. Alzraiee
  • United States Geological Survey (USGS)
Reagan Waskom
Reagan Waskom
Reagan Waskom
  • This person is not on ResearchGate, or hasn't claimed this research yet.
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... The proposed framework is intending to introduce a viable method for groundwater level gap filling by utilizing in situ measurements and auxiliary information from a regional groundwater model, in an efficient scheme with low computational cost. A similar framework is neither in place, nor the ES has been evaluated for a similar task Oikonomou et al., 2015a ). The framework's architecture is illustrated in Fig. 1 . ...
A Novel Framework for Filling Data Gaps in Groundwater Level Observations
Article
Groundwater level knowledge is one of the crucial information for sustainable use of groundwater resources and efficient and effective conjunctive management of surface and groundwater resources. Despite the fact that there is an increase of water related datasets collected, still groundwater information remains one of the Achilles heel in terms of analysis and modeling. The present paper is introducing a novel framework for filling data gaps in groundwater time series in an efficient scheme with low computational cost. It utilizes direct (known measurements) and auxiliary (regional groundwater model) available information. The framework employs an exogenous seasonal autoregressive integrated moving average (SARIMAX) stochastic model to describe the simulated groundwater level fluctuation process of a regional physical groundwater model and the Ensemble Smoother (ES) for predicting the water table level. The framework was evaluated by conducting three numerical experiments for five groundwater wells in the South Platte alluvial aquifer. The results indicate that this framework could serve as a valuable tool for the enhancement of groundwater time series, for both intermittent missing data and of continuous gaps with short span, which could then lift hindrances in their analysis and use in groundwater models, and thus aid water management decisions.
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