Web-based application for estimating water quality impacts due to environmental dredging

Je, Chung-Hwan; Kim, Kyung-Sub

doi:10.1007/s00254-004-1029-9

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Their goal was to optimize the calibration of the model with minimal user interaction [4]. Many additional mathematical optimization techniques have been used to estimate the parameters of models in various fields [5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

Automatic Calibration and Performance Evaluation of a Water Quality Model for a River Greatly Influenced by Wastewater Treatment Plant Effluent

Cho¹,

Lee²

EPiC Series in Engineering

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When manually calibrating a water quality model, considerable time and attention are required to calibrate each water quality variable and model parameter. Hence, developing an automated model that allows for efficient and objective automatic calibration is highly desirable. The QUAL2Kw model calibrates the QUAL2K model automatically using a genetic algorithm (GA). As the calibration results of a GA vary strongly with the performance criteria used as the objective function in GA optimization problems, this study compares and analyzes auto-calibration results and selects the optimal criterion for each objective from among 6 performance criteria: CV(RMSE), R², NSE, PBIAS, RSR, and SSNR. Additionally, a multi-objective auto-calibration was conducted using two kinds of performance statistics as the objective function of the GA. The auto-calibration model was applied to the Youngsan River in Korea. The TMDL was established to achieve water quality goals at specific target points. Among the 6 auto-calibration results based on a single performance criterion, NSE was the best criterion for calculating fitness through auto-calibration. When the calibration accuracies of the TMDL target points and the entire river are considered simultaneously, an objective function using multiple performance criteria, specifically CV(RMSE) and RSR, was selected as the final auto-calibration of the model. * Masterminded EasyChair and created the first stable version of this document † Created the first draft of this document Engineering

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Section: Introductionmentioning

confidence: 99%

Automatic Calibration and Performance Evaluation of a Water Quality Model for a River Greatly Influenced by Wastewater Treatment Plant Effluent

Cho¹,

Lee²

EPiC Series in Engineering

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Causes and ecological effects of resuspended contaminated sediments (RCS) in marine environments

Roberts

2012

Environment International

190

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A Kinetic Model of Short-Term Dissolved Contaminant Release during Dredge-Generated Bed Sediment Resuspension

Birdwell¹,

Thibodeaux²

2007

Environmental Engineering Science

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Web-based application for estimating water quality impacts due to environmental dredging

Cited by 3 publications

References 6 publications

Automatic Calibration and Performance Evaluation of a Water Quality Model for a River Greatly Influenced by Wastewater Treatment Plant Effluent

Automatic Calibration and Performance Evaluation of a Water Quality Model for a River Greatly Influenced by Wastewater Treatment Plant Effluent

Causes and ecological effects of resuspended contaminated sediments (RCS) in marine environments

A Kinetic Model of Short-Term Dissolved Contaminant Release during Dredge-Generated Bed Sediment Resuspension

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