ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 102 Hours of tutorials: 6 Expository Class: 18 Interactive Classroom: 24 Total: 150
Use languages Spanish (33%), Galician (66%)
Type: Ordinary subject Master’s Degree RD 1393/2007 - 822/2021
Departments: Applied Mathematics, Statistics, Mathematical Analysis and Optimisation
Areas: Applied Mathematics, Mathematical Analysis
Center Faculty of Mathematics
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
To introduce the Student in the Field of the Numerical Simulation solving Problems relation with the Environment in means with Shallow Water (Estuaries, Lagoons, etc)
I) Software MIKE21
• Introduction: framework.
• Generalities.
• Hydrodinamic Module (bidimensional hydrodinamic model of sallow water).
• Incorporating data observed: bathymetry, tide data, wind, etc.
• Viewing and extracting results.
• AD Module (two-dimensional transport model advective / dispersive).
• ECO Lab module (water quality models).
II) Introduction to the methodology of resolution and control of environmental problems FreeFem ++.
• Approach environmental problem.
• Numerical resolution with FreeFem++
1. Bruce Turner, Richard H. Schulze. Practical Guide to Atmospheric Dispersion Modeling. Trinity Consultants, Inc., and Air & Waste Management Association. 2006.
2. The Mathematics of Models for Climatology and Environment, Nato ASI Series. I 48, (Díaz, J. I. ed.), Springer Verlag, Berlin, Heidelberg. 1997.
3. D. Francisco Javier Fernández Fernández, “Análisis teórico de ciertos problemas de control y aplicación de la Derivación Automática en su resolución Numérica” Tesis. Dpto. Matemática Aplicada.Universidad de Santiago de Compostela. 2004.
4. García Chan, Nestor. “Diferentes estrategias para el análisis y resolución numérica de problemas de gestión medioambiental en zonas costeras”. Tesis. Dpto. Matemática Aplicada. Univ. de Santiago de compostela, 2009.
5. Hervouet, Jean-Michel. "Hydrodinamics of free surface flows". John Wiley & Sons, 2007.
6. Kundu, “Fluid Mechanics”, Academia Press, 1990.
7. Partheniades, Emmanuel "Cohesive sediments in open channels". Elsevier, 2009.
8. Samallo Celorio, María Luisa. “Desarrollo e integracion de modelos numéricos de calidad del agua en un sistema de información geográfica".Tesis. Dpto. de Ciencias y Técnicas del agua y del medio ambiente. Univ. de Cantabria. 2011.
9. Stoker, J. J. “Water Waves”. Interscience, New York, 1957.
10. Vázquez-Méndez, M. E. “Análisis y control óptimo de problemas relacionados con la dispersión de contaminantes”.Tesis. Dpto. Matemática Aplicada.Universidad de Santiago de Compostela. 1999.
11. Winterwerp, Johan C.-Van Kesteren, Walther G. M. "Introduction tho the physics of cohesive sediment in the marine environment". Elsevier 2004.
12. Zhen-Gang Ji, "Hidrodinamics and water quality. Modeling rivers, lakes and estuaries". John Wiley & Sons, 2008.
Work related to the "Grupo de simulación y control" (https://gscpage.wordpress.com).
Free sotware manuals as well as the bibliography to which they refer.
Note: Other Bibliography will be provided along the course.
Code (as they appear in the verification report of Industrial Mathematics Master)
CG1: To have knowledge that provide a basis or opportunity for originality in developing and / or applying ideas, often within a research context, knowing how to translate industrial needs in terms of R & D in the field of mathematics Industrial.
CG4: To have the ability to communicate the findings to specialist and non-specialist audiences in a clear and unambiguous way.
CE4: To be able to select a set of numerical techniques, languages and tools, appropriate to solve a mathematical model.
CE5: To be able to validate and interpret the results, comparing them with visualizations, experimental measurements and functional requirements of the physical engineering system.
CS1: To know, be able to select or use how to handle most suitable professional software tools (both commercial and free) for the simulation of processes in the industrial and business sector.
CS2: To adapt, modify and implement software tools for numerical simulation.
Laboratory practices: Classes are necessarily taught in a computer room. In them, the teacher will present the types of problems to be solved, they will display the corresponding mathematical models and point out the elements related to the models to numerically solve them. Students will use software to solve specific problems.
Resolution of exercices and problems: Each student will individually perform the tasks set in lessons. The faculty will address the issues raised by the students and will monitor the work done by each of them,
Below we show how the different teaching methodologies affect the achievement of the competences of the subject:
Laboratory practices: CG1, CE4, CE5, CS1 and CS2
Resolution of exercises and problems: CG4, CE4, CE5, CS1 and CS2
CRITERIA FOR THE 1º EVALUATION OPPORTUNITY:
The tasks to be evaluated:
1.Individual-work: exercises that the teacher can propose throughout the course. Your evaluation will represent 35% of the final qualification.
2.Final exam: Examination of contents of the subject. Your evaluation will represent 65% of the final qualification.
The realization of the previous evaluables is mandatory to overcome the subject at the first opportunity.
Next, each of the evaluation elements of the subject is related to the competences that are being evaluated:
1.- Individual works: CG4, CE4, CE5, CS1 and CS2
2.- Final exam: CG1, CG4, CE4, CE5, CS1 and CS2
CRITERIA FOR THE 2º EVALUATION OPPORTUNITY:
The contents of the subject will be evaluated with an exam, which will mean 100% of the evaluation.
- Hours of Student Presence Time (Theory, Laboratory, Exam): 63 h.
- Hours of Student Work (Theory, Laboratory, Works): 87 h.
- Total: 150 Hours.
- To have the Subject update.
- To participate actively in the Classes.
Carmen Rodriguez Iglesias
Coordinador/a- Department
- Applied Mathematics
- Area
- Applied Mathematics
- Phone
- 881813178
- carmen.rodriguez [at] usc.es
- Category
- Professor: University Lecturer
Francisco Javier Fernandez Fernandez
- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Mathematical Analysis
- Phone
- 881813231
- fjavier.fernandez [at] usc.es
- Category
- Professor: University Lecturer
| Wednesday | ||
|---|---|---|
| 09:00-11:00 | Grupo /CLE_01 | Computer room 5 |
| 15:00-19:00 | Grupo /CLE_01 | Computer room 5 |
| Teacher | Language |
|---|---|
| FERNANDEZ FERNANDEZ, FRANCISCO JAVIER | Spanish |
| RODRIGUEZ IGLESIAS, CARMEN | Galician |
| Teacher | Language |
|---|---|
| FERNANDEZ FERNANDEZ, FRANCISCO JAVIER | Spanish |
| RODRIGUEZ IGLESIAS, CARMEN | Galician |
| Teacher | Language |
|---|---|
| FERNANDEZ FERNANDEZ, FRANCISCO JAVIER | Spanish |
| RODRIGUEZ IGLESIAS, CARMEN | Galician |