Parameter uncertainty estimation of transient storage model using Bayesian inference with formal likelihood based on breakthrough curve segmentation-Reference-Cited by-同舟云学术

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Parameter uncertainty estimation of transient storage model using Bayesian inference with formal likelihood based on breakthrough curve segmentation

Published:2020-01 Issue: Volume:123 Page:104558
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Choi Soo Yeon,Seo Il Won,Kim Young-Oh

Funder

Chemical Accident Response R&D Program

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Ecological Modelling,Environmental Engineering,Software

Reference47 articles.

1. Results of a Solute Transport Experiment at Uvas Creek, September 1972 (No. 84-236);Avanzino,1984

2. Interactions of solutes and streambed sediment, 2, A dynamic analysis of coupled hydrologic and chemical processes that determine solute transport;Bencala;Water Resour. Res.,1984

3. The future of distributed models: model calibration and uncertainty prediction;Beven;Hydrol. Process.,1992

4. GLUE: 20 years on;Beven;Hydrol. Process.,2014

5. Simulation of solute transport in a mountain pool‐and‐riffle stream: a transient storage model;Bencala;Water Resour. Res.,1983

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