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Publications

Publications by Rui Moura

2015

Study of necroleachate migration in saturated and unsaturated zone through geophysical methods

Authors
Saraiva, FA; Moura, RMM; de Almeida, FER;

Publication
14th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 3-6 August 2015

Abstract

2019

3D Resistivity Imaging of Buildings and Foundations in Urban and Protected Areas

Authors
Fernando Almeida,; Manuel Matias,; Nuno Barraca,; Rui Moura,;

Publication
Journal of Civil Engineering and Architecture

Abstract

2017

High-Resolution geophysics in the investigation of the inner structure of walls and columns of batalha abbey

Authors
Senos, MJ; Almeida, F; Moura, R; Barraca, N;

Publication
23rd European Meeting of Environmental and Engineering Geophysics

Abstract
Knowledge of walls and other structural elements construction characteristics and techniques is mandatory in the maintenance and restoration of historical buildings. Such information is obtained from documents or by comparing with monuments of the same period. Documents are difficult to obtain and comparison with other buildings can be inaccurate. The use of direct invasive techniques may be considered but they are likely to damage structures or compromise buildings stability. Thus, indirect high-resolution methods are adapted to these investigations. This work describes a GPR and a Seismic Transmission Tomography survey to investigate the walls and columns of the 14th century Batalha Abbey (UNESCO heritage site). High-resolution GRP data revealed the dimensions and thicknesses of different walls and the structure and nature of materials inside them. The Seismic Transmission Tomography survey, supported by high-resolution photogrammetry scanning for accurate positioning of sources and geophones, was carried out to investigate the Abbey columns. Seismic velocities distribution inside the columns characterized their interior and clarified the nature of the materials used. Columns construction followed the same technique and used the same materials. However, each column depicts a different velocity zonation that could correspond to different stages of deterioration for each one.

2017

Contributions of Model-Based Learning to the Restructuring of Graduation Students' Mental Models on Natural Hazards

Authors
Moutinho, S; Moura, R; Vasconcelos, C;

Publication
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION

Abstract
Model-Based learning is a methodology that facilitates students' construction of scientific knowledge, which, sometimes, includes restructuring their mental models. Taking into consideration students' learning process, its aim is to promote a deeper understanding of phenomena's dynamics through the manipulation of models. Our aim was to ascertain whether the use of three different types of models, integrated into an intervention program whose goal was to teach the "seismic effects on soils and buildings", would influence the learning process of graduation students or not. For a better understanding of the results, the data were collected and analyzed through a combination of methods using, simultaneously, quantitative and qualitative method. And results not only confirmed the importance of the use of models, but also led us to the conclusion that despite the potential and limitations of all three models, mixed models are better for restructuring students' mental models and the development of meaningful learning.

2017

Simple statistical models for relating river discharge with precipitation and air temperature-Case study of River Vouga (Portugal)

Authors
Stoichev, T; Marques, JE; Almeida, CM; De Diego, A; Basto, MCP; Moura, R; Vasconcelos, VM;

Publication
FRONTIERS OF EARTH SCIENCE

Abstract
Simple statistical models were developed to relate available meteorological data with daily river discharge (RD) for rivers not influenced by melting of ice and snow. In a case study of the Vouga River (Portugal), the RD could be determined by a linear combination of the recent (P (R)) and non-recent (P (NR)) atmospheric precipitation history. It was found that a simple linear model including only P (R) and P (NR) cannot account for low RD. The model was improved by including non-linear terms of precipitation that accounted for the water loss. Additional improvement of the models was possible by including average monthly air temperature (T). The best model was robust when up to 60% of the original data were randomly removed. The advantage is the simplicity of the models, which take into account only P (R), P (NR) and T. These models can provide a useful tool for RD estimation from current meteorological data.

2013

NATURE OF SCIENCE, MODELS AND EARTH STRUCTURE MODELS: PORTUGUESE PROSPECTIVE SCIENCE TEACHERS' VIEWS

Authors
Torres,; Moura, R; Vasconcelos, C; Amador,;

Publication
GEOCONFERENCE ON ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION, SGEM 2013, VOL II

Abstract
Student knowledge of Nature of Science (NOS) is an important and critical issue to their understanding of science, as well as to the development of scientific literacy. In the same way, the ability to use and generate models is central to scientific literacy and to the learning of science. Having this in mind, and recognizing that teachers' views and practices strongly influence students' learning, we intended to evaluate Portuguese prospective science teachers' (PPST) views of Nature of Science (NOS), models and earth structure models. A questionnaire, focused on those aspects, was applied to 19 prospective science teachers at the University of Porto. In general, the majority of the participants revealed correct perceptions about those issues. However, some inconsistences and alternative conceptions were found.

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