Numerical modeling to define remediation actions for water quality in streams

Menéndez, Ángel N.; Lecertúa, E.A.; Badano, Nicolás D.; García, Pablo E.

doi:10.1080/23249676.2015.1072850

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…One way to assess the severity of the quality conditions of a water channel in several locations over a continuous period is to use numerical modelling. In addition, numerical modelling is considered suitable for assessing water quality conditions without discharging actual wastewater into the water system (Menendez et al, 2016). MATLAB is one of many software used to carry out numerical modelling.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Modelling with Industrial and Domestic Point Source Pollution : a Study Case of Cikakembang River, Majalaya District

Kent,

Yudianto,

Gao

et al. 2024

J. civil eng. forum

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Rapid industrial development is one of the leading causes of environmental degradation. The textile industries and the domestic activities in Majalaya District produce wastewater directly discharged into the Cikakembang River. As a result, the Cikakembang River’s water quality has decreased to the point that the water quality cannot be used for daily needs. This study modeled three main parameters in water quality modelling, namely Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), and Chemical Oxygen Demand (COD). Using MATLAB, the three-water quality governing equations originating from the Advection-Dispersion Equation were solved using the Runge Kutte-4 discretization scheme. The numerical modelling was carried out along 2.36 km of the Cikakembang River. All water quality coefficients, such as the DO Saturation (DOsat), the Reaeration Rate (ka), the Dispersion Coefficient (D), the Deoxygenation Rate (kd), and the Decomposition Rate (kc), for the Cikakembang River were estimated using equations developed by existing studies. The estimation of ka and D coefficients requires hydraulic parameters, which in this study were estimated using the HEC-RAS simulation. Meanwhile, kd and kc values were obtained from the calibration and verification process. The Relative Root Mean Square Error (RRMSE) objective function was used to evaluate the results of water quality modelling at three sampling points. In the calibration process, the resultsof water quality modelling produced RRMSE values for the DO, BOD, and COD parameters of 1.99%, 0.36% and 0.92%, respectively. Meanwhile, for the verification process, the RRMSE values for the DO, BOD, and COD parameters are 1.95%, 1.02% and 1.86%. All water quality parameters produce small RRMSE values in the calibration and verification processes. Hence, the water quality model created has good accuracy and stability.

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Section: Introductionmentioning

confidence: 99%

Water Quality Modelling with Industrial and Domestic Point Source Pollution : a Study Case of Cikakembang River, Majalaya District

Kent,

Yudianto,

Gao

et al. 2024

J. civil eng. forum

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Modeling prediction of dispersal of heavy metals in plain using neural network

Boudaghpour

Malekmohammadi

2020

Journal of Applied Water Engineering and Research

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Overview of Groundwater Pollution Research and Remediation Technology

田¹

2016

AEP

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Beginning with the discussion of groundwater definition and the rise of groundwater subject, this paper presented the investigation and monitoring technology of the groundwater, and summarized the main research method of the migration and transformation of the groundwater. More importantly, this paper overviewed the commonly used groundwater remediation technology, and pointed out the existing problems and the research emphasis in the future, hoping to promote the development of groundwater subject and the construction of ecological civilization in our country.

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Numerical modeling to define remediation actions for water quality in streams

Cited by 3 publications

References 26 publications

Water Quality Modelling with Industrial and Domestic Point Source Pollution : a Study Case of Cikakembang River, Majalaya District

Water Quality Modelling with Industrial and Domestic Point Source Pollution : a Study Case of Cikakembang River, Majalaya District

Modeling prediction of dispersal of heavy metals in plain using neural network

Overview of Groundwater Pollution Research and Remediation Technology

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