Irrigation Sciences and Engineering

Irrigation Sciences and Engineering

Sensitivity Analysis of Transient Storage Parameters in Mathematical Modeling of Pollution Transport in Rivers Containing Storage Zone

Document Type : Research Paper

Authors
Sajad Khodambashi Emami 1
Mehdi Mazaheri 2
1 M.Sc. Student of Water Structures, Tarbiat Modares University.
2 Associate Professor, Department of Water Engineering and Management, Tarbiat Modares University.
10.22055/jise.2022.39365.2009
Abstract
Hydrologists studying rivers must determine the relative importance of in-river processes to understand the fate of pollutants. Storage processes are one of the most of this. Currently, the most reliable method for determining the importance of storage processes in the solute transfer is to estimate the stream-storage exchange coefficient (α) and the cross-sectional area ratio (AS/A) in the transient storage model (TSM) with tracer experiment data (Wallis and Manson, 2019). Calibrating the parameters depends on the reciprocal coverage between parameter effects on BTCs and the model's sensitivity to each parameter (Zaramella et al., 2016). Previous studies have quantified the sensitivity of the TSM in inverse modeling (Kelleher et al., 2013; Wlostowski et al., 2013). Due to tracer test data for these studies, their results cannot provide a comprehensive picture of the model behavior. In this study, using Monte Carlo-based methods, an attempt has been made to investigate the effect of different pollutant transfer circumstances in the river by defining a framework with Peclet and Damkohler numbers and pollutant injection time series on storage parameters sensitivity.
Keywords
Transient Storage Model
Uncertainty Analysis
Monte Carlo Method
Damkohler Number
Peclet Number
Subjects
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Irrigation Sciences and Engineering
Volume 45, Issue 4
Winter 2023
Pages 101-116

  • Receive Date 04 December 2021
  • Revise Date 02 July 2022
  • Accept Date 06 July 2022
  • Publish Date 20 February 2023