Numerical Modelling of Heavy Metals Transport Processes in Riverine Basins

Kashefipour, S. M.; Roshanfekr, Ali

doi:10.5772/35931

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…In our calculation, the interaction of heavy metal concentration between stream water and sediment were assumed equiliblium state as equations which were expressed above. Sources or sinks of dissolved heavy metals can be defined as 6) x…”

Section: (3) Heavy Metals Transport Modelmentioning

confidence: 99%

“…Simulation and modeling play an important role to predict and quantify the fate and transport of contaminants in aquatic ecosystem. Many studies in the field of hydrological modeling provided results which help us to understand the dynamics of transport of pollutants in rivers, for example Kashefipour et al (2012) 6) and Roshanfekr et al (2008) 7) are used an hydro-environmental model to predict the dissolved heavy metals concentration along rivers by using a varied reaction coefficient approach to the source term of the advection-dispersion equation (ADE). Lin et al (2005) 8) and Falconer et al (2005) 9) are used an hydro-environmental model to predict the heavy metals concentration along estuaries by using the advection-dispersion equation, based on an exponential relationship between partition coefficient Kd and salinity.…”

Section: Introductionmentioning

confidence: 99%

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Heavy Metals Transport Simulation by Physically Based Distributed Modeling Approach (Case Study: Harrach River, Algeria)

2017

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Harrach River, located in semi-arid area in Algeria, has provided important water resources in Alger, capital city of Algeria. But it has been severely polluted by many industries with heavy metals, and there exist few observed data in pollutants in stream water and sediment for investigation of environmental countermeasure. However, there are possibility to understand heavy metal behavior and to improve accuracy of numerical model by using combination of heavy metals as chemical tracers. In this study, heavy metal transport in the watershed were numerically assessed by using lead and mercury. Hydraulic momentum transport were reproduced by distributed hydrological model with object-oriented design. Transport of dissolved heavy metal, such as mercury and lead, were modeled as instances of transportable object. Heavy metals in sediment were also estimated by partition model in the assumption of equilibrium state, and were verified by observed data. Combination of various heavy metals can prominently improve applicability of object-oriented designed model even to developing country with few observation dataset.

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Section: (3) Heavy Metals Transport Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heavy Metals Transport Simulation by Physically Based Distributed Modeling Approach (Case Study: Harrach River, Algeria)

2017

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“…Methods of evaluation and analysis of the heavy metal pollution in the topsoil become more and more important, such as differential equation [9,10], difference equation, but it is difficult to attain analytical solution, and accuracy of numerical solution is not high, so it is concerned for us about how to improve the precision of heavy metal source. Artificial Intelligence (AI) may be applied with success in many applications.…”

Section: Introductionmentioning

confidence: 99%

Heavy Metal Pollution Analysis in Topsoil Based on BP and GA

Wang

2012

AMM

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Heavy metal pollution in Topsoil is increasingly serious. In the paper, we present a novel analysis method for heavy metal pollution in Topsoil using Back-propagation (BP) Algorithm and genetic algorithm (GA). Usually there were many methods, including differential equation, but accuracy of these algorithms is not high. To acquire position and analysis of heavy metal pollution, we introduce GA and BP neural network. First, we build BP model and acquire the optimal weights and thresholds of BP through optimization of GA. At last, we search for global optima position of heavy metal pollution sources by GA. Experimental results show that better performance can be obtained by combining GA-based BP and GA-Based optimization.

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Simulation and modelling of heavy metals and water quality parameters in the river

Poshtegal

Mirbagheri

2023

Sci Rep

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A one-dimensional qualitative model was created for this study’s modelling and phase transfer of the heavy metal dissolved in the river. The advection–diffusion equation considers the environmental variables temperature, dissolved oxygen, pH, and electrical conductivity as influencing parameters on the change in the concentration of the dissolved phase of heavy metals lead, cadmium, and zinc in springtime and winter. Hec-Ras hydrodynamic model and Qual2kw qualitative model have been used to determine the hydrodynamic and environmental parameters in the created model. The approach of minimizing simulation errors and Vba coding was employed to identify the constant coefficients for these relations, and the linear relation incorporating all of the parameters is thought to be the final connection. In order to simulate and calculate the concentration of the heavy metals in the dissolved phase at each site, the kinetic coefficient of the reaction corresponding to that point should be employed because the kinetic coefficient of the reaction varies in different portions of the river. Additionally, if the above mentioned environmental parameters are used in the spring and winter term of advection–diffusion equations, the accuracy of the developed model significantly improves, and the effect of other qualitative parameters is negligible, indicating that the model is effective at simulating the dissolved phase of heavy metals in the river.

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Numerical Modelling of Heavy Metals Transport Processes in Riverine Basins

Cited by 5 publications

References 26 publications

Heavy Metals Transport Simulation by Physically Based Distributed Modeling Approach (Case Study: Harrach River, Algeria)

Heavy Metals Transport Simulation by Physically Based Distributed Modeling Approach (Case Study: Harrach River, Algeria)

Heavy Metal Pollution Analysis in Topsoil Based on BP and GA

Simulation and modelling of heavy metals and water quality parameters in the river

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