Javascript must be enabled to continue!
Validation of Simplified Mathematical Model for Turbidity Currents
View through CrossRef
Abstract
Computer models have improved dramatically the mathematical understanding of gravity currents; however, these models cannot replace the analysis by experimental work. The use of scaled analogue models, or physical models, proved to be essential in validating depth average velocity equation for turbidity currents. In order to reduce the level of complexity to solve this equation numerically and to create an efficient computer model to simulate these currents, some mathematical approximations were applied during the development of the velocity equation (Waltham & Davison, 2001). Therefore, willing to prove that these approximations would not compromise the numerical results, many experiments were performed to acquire a spatio-temporal velocity evolution database for both unconfined particle free and particulate turbidity flows. Comparing the results from the numerical and physical simulations, it was concluded that, unfortunately, the approximations have influenced the numerical results. Nevertheless, the data and visual comparisons between the simulations also revealed some encouraging results, which will stimulate some future research to improve the model accuracy.
Introduction
Particulate gravity currents have been discussed in many scientific studies, especially in sedimentary geology. Their importance is due to the fact that these currents have a substantial influence on deep-water depositional systems. However, these currents can occur not only in submarine but also in subaerial environments, for example, hot clouds of volcanic ash going down slope after an eruption. In a submarine environment, turbidity currents are generally triggered by slope failures (Partson et al., 2000). These failures provide a large volume of sediment and water mixture, which has normally a greater density than the surrounding water. The difference in density between these two fluids is the ignition of the current. A difference of only a few percent is enough to raise the fluid pressure force that together with the fluid weight component, if on a slope, induce the current to propagate (Waltham, 2004).
Many studies have been published about turbidity currents behavior and how to reproduce them in fluid mechanics laboratory. Some of these studies concern simple time series measurements of flow parameters (Kneller et al., 1997; Best et al., 2001), while others concern spatio-temporal evolution of flow parameters (McCafrey et al., 2003 & 2005). Although such studies may yield valuable knowledge to this research, none of them provide information about the spatio-temporal evolution of velocity, or any other parameter, for unconfined turbidity currents. In other words, it is not possible to analyze how velocity varys over time at different points in these currents.
Since an empirical methodology is being used to validate a numerical simulation, a database about the spatio-temporal evolution of velocity for unconfined turbidity currents became essential to achieve the foremost objective of this work. Thus, a physical model was created in order to run experiments simulating turbidity currents and measuring their velocities to finally get the required database. Meanwhile, the numerical simulation was created by developing a computer program, using finite difference to solve the partial diferential equations applied to model the phenomenon. Once both the numerical model and the database are ready, they will be compared against each other to check how precise the applied equations are.
Title: Validation of Simplified Mathematical Model for Turbidity Currents
Description:
Abstract
Computer models have improved dramatically the mathematical understanding of gravity currents; however, these models cannot replace the analysis by experimental work.
The use of scaled analogue models, or physical models, proved to be essential in validating depth average velocity equation for turbidity currents.
In order to reduce the level of complexity to solve this equation numerically and to create an efficient computer model to simulate these currents, some mathematical approximations were applied during the development of the velocity equation (Waltham & Davison, 2001).
Therefore, willing to prove that these approximations would not compromise the numerical results, many experiments were performed to acquire a spatio-temporal velocity evolution database for both unconfined particle free and particulate turbidity flows.
Comparing the results from the numerical and physical simulations, it was concluded that, unfortunately, the approximations have influenced the numerical results.
Nevertheless, the data and visual comparisons between the simulations also revealed some encouraging results, which will stimulate some future research to improve the model accuracy.
Introduction
Particulate gravity currents have been discussed in many scientific studies, especially in sedimentary geology.
Their importance is due to the fact that these currents have a substantial influence on deep-water depositional systems.
However, these currents can occur not only in submarine but also in subaerial environments, for example, hot clouds of volcanic ash going down slope after an eruption.
In a submarine environment, turbidity currents are generally triggered by slope failures (Partson et al.
, 2000).
These failures provide a large volume of sediment and water mixture, which has normally a greater density than the surrounding water.
The difference in density between these two fluids is the ignition of the current.
A difference of only a few percent is enough to raise the fluid pressure force that together with the fluid weight component, if on a slope, induce the current to propagate (Waltham, 2004).
Many studies have been published about turbidity currents behavior and how to reproduce them in fluid mechanics laboratory.
Some of these studies concern simple time series measurements of flow parameters (Kneller et al.
, 1997; Best et al.
, 2001), while others concern spatio-temporal evolution of flow parameters (McCafrey et al.
, 2003 & 2005).
Although such studies may yield valuable knowledge to this research, none of them provide information about the spatio-temporal evolution of velocity, or any other parameter, for unconfined turbidity currents.
In other words, it is not possible to analyze how velocity varys over time at different points in these currents.
Since an empirical methodology is being used to validate a numerical simulation, a database about the spatio-temporal evolution of velocity for unconfined turbidity currents became essential to achieve the foremost objective of this work.
Thus, a physical model was created in order to run experiments simulating turbidity currents and measuring their velocities to finally get the required database.
Meanwhile, the numerical simulation was created by developing a computer program, using finite difference to solve the partial diferential equations applied to model the phenomenon.
Once both the numerical model and the database are ready, they will be compared against each other to check how precise the applied equations are.
Related Results
A new mechanism for the triggering of turbidity currents offshore tropical river deltas
A new mechanism for the triggering of turbidity currents offshore tropical river deltas
<p>When narrow continental shelves are stressed by extreme weather events, nearshore currents dominate the coastal circulation leading to complex flow patterns that c...
A New Modeling Approach to Hindcast Marine Turbidity Currents
A New Modeling Approach to Hindcast Marine Turbidity Currents
The bulk of the sediment found on the abyssal plain is transported from
the shelf to the deep ocean by marine turbidity currents. They
consecutively erode, transfer and deposit lar...
Characteristics of turbidity current events in Lake Geneva, Switzerland
Characteristics of turbidity current events in Lake Geneva, Switzerland
Turbidity currents represent a distinctive type of subaqueous density currents, characterized by a density excess that is due to the sediment load. Turbidity currents are important...
Sistem Pengukuran Tingkat Kekeruhan Air (Turbidity) Dengan Metode Spektrofotometri
Sistem Pengukuran Tingkat Kekeruhan Air (Turbidity) Dengan Metode Spektrofotometri
Understanding water turbidity is crucial for water supply, aquatic ecosystems, and water resource management. Poor water quality can harm human health and the environment. Testing ...
THE MECHANISM FOR CRETACEOUS TURBIDITE DEPOSITION IN LOWER PRIAMURYE
THE MECHANISM FOR CRETACEOUS TURBIDITE DEPOSITION IN LOWER PRIAMURYE
The mechanism for deposition of Cretaceous turbidites in Lower Priamurye, just like all turbidites in general, is based on the hydrodynamic regime in the basin of their accumulatio...
Validation in Doctoral Education: Exploring PhD Students’ Perceptions of Belonging to Scaffold Doctoral Identity Work
Validation in Doctoral Education: Exploring PhD Students’ Perceptions of Belonging to Scaffold Doctoral Identity Work
Aim/Purpose: The aim of this article is to make a case of the role of validation in doctoral education. The purpose is to detail findings from three studies which explore PhD stude...
Typhoon-induced megarips as triggers of turbidity currents offshore tropical river deltas
Typhoon-induced megarips as triggers of turbidity currents offshore tropical river deltas
AbstractTropical cyclones impose stresses on narrow and shallow continental shelves. The interaction of strong wind- and wave-induced currents with the local topography near the sh...
INNOVATIVE TECHNOLOGIES IN MATHEMATICS EDUCATION
INNOVATIVE TECHNOLOGIES IN MATHEMATICS EDUCATION
The introduction of the competence model of Mathematics education involves the actualization of personal and activity factors of development of subjects of the educational process,...

