Light Particle Tracking Model for Simulating Bed Sediment Transport Load in River Areas

Herrera-Díaz, Israel E.; Torres-Bejarano, Franklin; Moreno-Martínez, Jatziri Y.; Rodríguez-Cuevas, Clemente; Couder-Castañeda, Carlos

doi:10.1155/2017/1679257

Cited by 8 publications

(6 citation statements)

References 25 publications

(26 reference statements)

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“…The use of particle tracking to investigate the dynamics of sediment transport in various flow regimes is a fairly well-established method. Krestenitis et al (2007) and Israel et al (2017) are examples of this approach. Krestenitis et al (2007) investigated the sediment transport in the Gulf of Thermaikos, which constitutes the northwestern corner of the Aegean Sea.…”

Section: Particle Tracking Modelmentioning

confidence: 99%

Environmental impacts of shallow water mining in the Baltic Sea

Dargahi

2023

Front. Mar. Sci.

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The discovery of rare metal resources in international waters has raised seabed mining claims for large areas of the bottom. There is abundant scientific evidence of major negative consequences for the maritime environment, such as the destruction of natural landforms and the fauna that depend on them, as well as the production of enormous silt plumes that disrupt aquatic life. This study investigated the environmental risks of seabed mining for metal resources in the Baltic Sea using a combination of hydrodynamic, particle-tracking, and sediment-transport models. The models were applied for ten years i.e., 2000-2009 under prevailing conditions to simulate seabed mining operations. The focus was on sediment concentration near the seabed and its spread. The mean background concentrations were low with small seasonal bed-level variations throughout the Baltic Sea Basin. Late summer and early autumn periods were the most active. Seabed mining significantly alters the dynamics of sediment suspensions and bed level variations. The concentrations increase unsustainably to high levels, posing a serious threat to the ecological health of the Baltic Sea. The Gotland basins in the Baltic Sea are the most susceptible to mining. The bed level variations will be ten-fold, exposing the highly contaminated sediments at the seabed to the flow. In less than a year, 30-60% of the total particles released in each basin reached the thermocline layers. This study suggests that seabed mining in the Baltic Sea is not sustainable.

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Section: Particle Tracking Modelmentioning

confidence: 99%

Environmental impacts of shallow water mining in the Baltic Sea

Dargahi

2023

Front. Mar. Sci.

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“…To execute the sediment transport and deposition simulations in the DR, the AdH/PTM model (Hachaj and Szlapa 2017;Hachaj 2018Hachaj , 2019 was adapted in the current study. AdH is a 2D depth-averaged, finite element, modeling tool for simulating hydrodynamic conditions in river systems, but also in bay, reservoir, and lacustrine systems (Tate et al 2014;Herrera-Díaz et al 2017;Liu et al 2021).…”

Section: Adh/ptm Modulementioning

confidence: 99%

From the source to the reservoir and beyond—tracking sediment particles with modeling tools under climate change predictions (Carpathian Mts.)

et al. 2022

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Purpose The study tracks spatial and temporal distribution of sediment particles from their source to the deposition area in a dammed reservoir. This is particularly important due to the predicted future climate changes, which will increase the severity of problems with sediment transport, especially in catchments prone to erosion. Methods Analyses were performed with a monthly step for two mineral and one mineral/organic sediment fractions delivered from the Carpathian Mts. catchment (Raba River) to the drinking water reservoir (Dobczyce) by combining SWAT (Soil and Water Assessment Tool), and AdH/PTM (Adaptive Hydraulics Model/Particle Tracking Model) modules on the digital platform—Macromodel DNS (Discharge Nutrient Sea). To take into account future changes in this catchment, a variant scenario analysis including RCP (representative concentration pathways) 4.5 and 8.5, and land use change forecasts, was performed. Results The differences between the two analyzed hydrological units (catchment and reservoir) have been highlighted and showed a large variability of the sediment load between months. The predicted climate changes will cause a significant increase of mineral fraction loads (silt and clay) during months with high flows. Due to the location and natural arrangement of the reservoir, silt particles will mainly affect faster loss of the first two reservoir zones capacities. Conclusions The increased mobility of finer particles (clay) in the reservoir may be more problematic in the future, mainly due to their binding pollutant properties, and the possible negative impact on drinking water abstraction from the last reservoir zone. Moreover, the study shows that the monthly approach to forecasting the impact of climate change on sediment loads in the reservoir is recommended, instead of a seasonal one.

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“…ico where the climate is very rainy, so seasons of the year are not highly differentiated, with abundant precipitations throughout the whole year. Thus, it is important to differentiate between the typical characteristic climate periods in the study area, such as summertime and wintertime, because the dynamics can significantly change [79]; for instance, they have influence on parameters that define the transport of solutes such as salinity [80] or sediments [31,81,82]. For the purpose of yielding to results which can be compared with stationary measurements in situ, wet and dry seasons for this study are selected, as detailed in Table 2 [52,56].…”

Section: Field Measurements Tabasco State Is the Region Of Mex-mentioning

confidence: 99%

Numerical Modelling of Heavy Metal Dynamics in a River‐Lagoon System

Torres-Bejarano

Couder-Castañeda

Ramírez-León

et al. 2019

Mathematical Problems in Engineering

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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 enables 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 Chicozapote and Tonalá rivers that connect the lagoon with the Gulf of Mexico. The results of pollutants transport simulation in the coastal ecosystem are presented, focusing on toxic parameters for two hydrodynamic scenarios: wet and dry seasons. As it is of interest in the zone, the transport of four metals is studied: Cadmium, Chromium, Nickel, and Lead. In order to address these objectives, a self-posed mathematical problem is solved numerically, which is based on the measured data. The performed simulations show how 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 an excellent option when the distribution of solutes with high accuracy is required, easing environmental, economic, and social management of coastal ecosystems. It ought to be remarked that this constitutes a robust differential equation-based water quality model for the transport of heavy metals. Models with these characteristics are not common to be found elsewhere.

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Light Particle Tracking Model for Simulating Bed Sediment Transport Load in River Areas

Cited by 8 publications

References 25 publications

Environmental impacts of shallow water mining in the Baltic Sea

Environmental impacts of shallow water mining in the Baltic Sea

From the source to the reservoir and beyond—tracking sediment particles with modeling tools under climate change predictions (Carpathian Mts.)

Numerical Modelling of Heavy Metal Dynamics in a River‐Lagoon System

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