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Bayesian MCMC groundwater residence time inference

Subcategory: statistical modeling
Papers: 1 | Mentions: 3

Local Knowledge Graph (37 entities)

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Knowledge graph centered on Bayesian MCMC groundwater residence time inference with 37 nodes and 119 connections. Top connected: groundwater storage dynamics, streamflow, groundwater-surface water interactions, thermal constraints, spatiotemporal variability.

Description

Bayesian framework using Markov-chain Monte Carlo to infer groundwater residence time distributions from environmental tracer observations while quantifying parameter uncertainties.

Typical Equipment

  • pyMC3 Python software

Output Measurements

  • residence time distributions
  • recharge parameter uncertainties
  • mixing fraction estimates

Papers Using This Protocol (1)

article

Constraining Bedrock Groundwater Residence Times in a Mountain System With Environmental Tracer Observations and Bayesian Uncertainty Quantification

2023Water Resources Researchintroducing

Places Where Used

East River

stream1 paper

Rocky Mountain Biological Laboratory

study site1 paper

West Elk Mountains

region1 paper

Snodgrass Mountain

peak1 paper

Redwell Basin

valley1 paper

Western Sierra Nevada

region1 paper

Pumphouse lower montane (PLM) hillslope

study site1 paper

PLM1

study site1 paper

PLM6

study site1 paper

Crested Butte

study site1 paper