Assessment of river quality models: a review

Sharma, Deepshikha; Kansal, Arun

doi:10.1007/s11157-012-9285-8

Cited by 69 publications

(34 citation statements)

References 43 publications

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“…Many hydro-ecological models of different complexity are available (Rauch et al, 1998;Reichert, 2001;Arheimer and Olsson, 2003;Cox, 2003;Kannel et al, 2011;Sharma and Kansal, 2013). They tend to simulate a large range of biogeochemical processes, requiring a large number of parameters.…”

Section: Introductionmentioning

confidence: 99%

Modelling the fate of nitrite in an urbanized river using experimentally obtained nitrifier growth parameters

et al. 2015

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Maintaining low nitrite concentrations in aquatic systems is a major issue for stakeholders due to nitrite's high toxicity for living species. This study reports on a cost-effective and realistic approach to study nitrite dynamics and improve its modelling in human-impacted river systems. The implementation of different nitrifying biomasses to model riverine communities and waste water treatment plant (WWTP)-related communities enabled us to assess the impact of a major WWTP effluent on in-river nitrification dynamics. The optimal kinetic parameters and biomasses of the different nitrifying communities were determined and validated by coupling laboratory experiments and modelling. This approach was carried out in the Seine River, as an example of a large human-impacted river with high nitrite concentrations. The simulation of nitrite fate was performed at a high spatial and temporal resolution (Δt = 10 min, dx¯ = 500 m) including water and sediment layers along a 220 km stretch of the Seine River for a 6-year period (2007-2012). The model outputs were in good agreement with the peak of nitrite downstream the WWTP as well as its slow decrease towards the estuary. Nitrite persistence between the WWTP and the estuary was mostly explained by similar production and consumption rates of nitrite in both water and sediment layers. The sediment layer constituted a significant source of nitrite, especially during high river discharges (0.1-0.4 mgN h(-1) m(-2)). This points out how essential it is to represent the benthic layer in river water quality models, since it can constitute a source of nitrite to the water-column. As a consequence of anthropogenic emissions and in-river processes, nitrite fluxes to the estuary were significant and varied from 4.1 to 5.5 TN d(-1) in low and high water discharge conditions, respectively, over the 2007-2012 period. This study provides a methodology that can be applied to any anthropized river to realistically parametrize autochthonous and WWTP-related nitrifier communities and simulate nitrite dynamics. Based on simulation analysis, it is shown that high spatio-temporal resolution hydro-ecological models are efficient to 1) estimate water quality criteria and 2) forecast the effect of future management strategies. Process-based simulations constitute essential tools to complete our understanding of nutrient cycling, and to decrease monitoring costs in the context of water quality and eutrophication management in river ecosystems.

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Section: Introductionmentioning

confidence: 99%

Modelling the fate of nitrite in an urbanized river using experimentally obtained nitrifier growth parameters

et al. 2015

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“…River systems are very complex due to many processes (physical, chemical and biological) involved in their ecosystem. Numerous studies have been carried out concerning the river pollution issues, and perhaps the most prominent are those related to water quality modeling and simulation of the pollutant transport in the rivers (Sharma and Kansal 2013).…”

Section: Introductionmentioning

confidence: 99%

Estimation of river Tigris dispersivities using a steady-state numerical model

Ismail

Muntasir

2018

Appl Water Sci

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The present work suggests a simple approach for simulating the dispersion of pollutants in rivers and streams with the aid of computational fluid dynamics technique. The two-dimensional advection-dispersion equation was solved using FlexPDE code to predict the biochemical oxygen demand (BOD) and the total dissolved solids (TDS) concentrations at the confluence of Diyala with Tigris Rivers. In this model, two sets of data were used for calibration and validation processes. Various values of longitudinal and transverse dispersion coefficients were adopted in the model to determine the suitable value using the trial-and-error method. The results revealed that the best agreement between simulated and measured values was observed when the longitudinal and transverse dispersion coefficients are close to 10 and 5 m 2 /s, respectively. The results showed that the proposed methodology is more suitable for TDS, while for BOD, it needs an accurate representation of the chemical or biological transformations.

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“…Nevertheless, most of them are based on solving mass balance/advective diffusion equation, but oriented to nutrients (as DO, BOD, PH 4 , Phosphorus) or pathogens (like coliforms). Such models do not contemplate metals transport [28]. A review regarding computational models of water quality can be found in [29], where it is pointed out that 3 of 25 WTM are of great importance for environmental management; nevertheless, they still constitute an open research field.…”

Section: Introductionmentioning

confidence: 99%

Modelling, Transport and Assessment of Aquatic Toxic Metals in Coastal Ecosystems

Torres-Bejarano¹,

Ramírez-León²,

Rodríguez-Cuevas³

et al. 2018

Preprint

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This paper describes the development of a two-dimensional water quality model that solves hydrodynamic equations tied to transport equations with reactions mechanisms inherent in the processes. This enable us to perform an accurate assessment of the pollution in a coastal ecosystem. The model was developed with data drawn from the ecosystem found in Mexico's southeast state of Tabasco. The coastal ecosystem consists of the interaction of El Yucateco lagoon with the Chicozapote and Tonalá rivers, that connect the lagoon with the Gulf of Mexico. We present the results of pollutants transport simulation in the coastal ecosystem, focusing on toxic parameters for two hydrodynamic scenarios: wet and dry seasons. As it of interest in the zone, we study the transport of four metals: Cadmium, Chromium, Nickel and Lead. In order to address our objectives we solved numerically a self-posed mathematical problem,which is based on the measured data. The performed simulations show to characterise metal transport within the acceptable range of accuracy and in accordance with the measured data. The performed simulations show to characterise metals transport with an acceptable accuracy, agreeing well with measured data in total concentrations in four control points along the water body. Although for the accurate implementation of the hydrodynamic-based water quality model herein presented, boundary (geometry, tides, wind, etc.) and initial (concentrations measurements) conditions are required, it poses as an excellent option when the distribution of solutes with high accuracy is required, easing environmental, economic and social management of coastal ecosystems.

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Assessment of river quality models: a review

Cited by 69 publications

References 43 publications

Modelling the fate of nitrite in an urbanized river using experimentally obtained nitrifier growth parameters

Modelling the fate of nitrite in an urbanized river using experimentally obtained nitrifier growth parameters

Estimation of river Tigris dispersivities using a steady-state numerical model

Modelling, Transport and Assessment of Aquatic Toxic Metals in Coastal Ecosystems

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