Rui Moura

The Effects Of Foreign Direct Investment On The Host Country'S Economic Growth: Theory And Empirical Evidence

Foreign direct investment (FDI) influences host countrys economic growth through several channels. Empirically, a variety of studies considers that FDI generate economic growth but others conclude that FDI is a source of negative effects. By reviewing existing theoretical and empirical literature, we intend to shed light on the main explanations for the mixed results. The main conclusion is that the effects of FDI on economic growth depend on the domestic conditions of the host country (e.g., human capital, economic and technological conditions, degree of openness of its economy). Thus, the host countries governments have a key role in creating the conditions that allow for the leverage of the positive effects or for the reduction of the negative effects of FDI on the host countrys economic growth.

Conceptualizing a mountain hydrogeologic system by using an integrated groundwater assessment (Serra da Estrela, Central Portugal): a review

Mountains are often considered as the world’s water towers. This paper presents a critical review on the research concerning the integrated assessment of groundwater resources of the mountain hydrogeologic system of Serra da Estrela Natural Park (central Portugal). The study area is the Zêzere river basin upstream of Manteigas village located at the Serra da Estrela Mountain in Central Portugal. It provides the source of strategic water resources for the Portuguese mainland, including normal groundwaters, thermomineral waters and surface waters. An integrated approach has been used to formulate a conceptual model for this complex mountain hydrogeological system by integrating the geological, morphotectonic, hydroclimatic, unsaturated soil zone, hydrogeological, hydrogeophysical, hydrogeochemical and isotopic data. This model has been useful to: i) evaluate the water resources; ii) provide the basis for a sustainable management of water resources, iii) design measures for groundwater exploitation and contamination control; and iv) set up land-use policies.

Odd-even Pole-pole Array and 3D Resistivity Surveys in Urban and Historical Areas

Modern and historical buildings may show some degree of subsidence resulting from foundation deterioration and local geological conditions. Hence, buildings stability can be affected and restoration plans must be envisaged. Resistivity methods have been used to investigate local conditions, providing 3D images of the soil under man made structures and hence contributing to the delimitation of hazardous areas and pathologies. However these techniques require the deployment of a grid of electrodes, which can be difficult to accomplish because of physical limitations and of the buildings nature that cannot be damaged. To overcome these problems special arrays have been used (L, Corner, Square arrays, etc). Here in it is proposed to use the “Odd-Even Pole-Pole Array” to study the ground under a contemporary building and under a high historical value XIV century Abbey, both showing evidence of subsidence. Field data quality is also addressed and it is proposed to identify low quality data to be expunged so that modelling is improved. It is also shown how to estimate resistivity values from data quality tests, to carry out further zonation, locate hazardous areas and to enhance modelling.

Results from Geospatial Analysis of Resistivity to Delineate Contamination Anomalies: A Case Study of a Controlled Dump ‐ North Portugal

The assessment of contaminant dispersion in Controlled Dumps (CD) of Municipal Solid Waste (MSW) is possible through the combination of geophysical, geochemical and statistical methods. The methodology applied in this study will contribute to evaluate the environmental consequences of the Matosinhos CD (N Portugal), which is set in a granitic crystalline geological context with a permeability controlled by differential weathering which, in turn, is associated with fracturing. The statistical methods that we will describe are usually used in geochemical anomaly determination and were adapted to be used with resistivity data obtained from twenty-two 2D profiles performed around the CD. The data set was inverted and the results were processed and visualized by a 3D software application that we are currently developing. Groundwater samples were also collected in piezometers, upstream and downstream of the CD, with the aim of directly confirming the presence of contaminants indirectly detected by the geophysical and geostatistical methods described before. The combination of these different approaches allows, in our opinion, an improved approach towards the detection and delineation of contaminant plumes from these deposits.

Simulating an Earthquake and Its Effects on Soils and Buildings: A Practical Activity to Disseminate Geosciences and Its Evaluation

Model-based learning is a teaching methodology that facilitates the learning process through the construction of models, which represent the conceptual models taught in geosciences lessons, promoting the construction of students’ scientific knowledge and the development of a meaningful learning. It is crucial that teachers know how to apply it in schools in order to support students’ learning process, but also because models are important tools for dissemination of science concepts. Having this in mind, it becomes relevant, beyond the analysis of its importance for both teaching and disseminating geosciences in Portuguese high schools, to provide some guidelines and recommendations about the use of models in geosciences teaching, based on the literature, seeking to prepare teachers to apply the methodology in science lessons and for making them more informed about the importance of dissemination of science. To achieve this purpose, the attitudes of Portuguese high school students towards the importance of model-based learning in teaching and disseminating the dependence of earthquakes effects on soils and buildings were analysed. The data were collected through a scale for model evaluation named Seismological Models’ Evaluation Scale (SMES), applied to 126 students who participated in Faculty of Sciences’ Open Days to Schools. This instrument was validated by two experts in geosciences teaching, and its fidelity was also determined.

Investigating Landfill Contamination by Visualizing Geophysical Data

Geophysical experts aimed to establish a method to identify contamination by landfill leakage without chemically analyzing subsoil samples, which is time-consuming and expensive. To that end, researchers developed a software package that let the experts create 3D visualizations of geophysical data acquired around the landfill and apply statistical analysis to detect anomalous values. The data used, electrical resistivity, are typically sparse. So, the application employs kriging to interpolate the data and provide a volumetric representation of the subsoil resistivity. To avoid invalid conclusions, the visualization also represents uncertainty. The application enabled the experts to better understand the phenomenon and to develop and validate their method. Their evaluation of the application indicated that it helped them throughout the methods development and significantly eased their workload.

Surface Wave Method Applied to Geotechnical Characterization of Near-Surface Geological Layers in Aveiro, NW Portugal

The result obtained from the investigation of Shear Waves Velocity (Vs) using Multichannel Analysis of Surface Waves for the geothecnical purposes in five study area of Aveiro gave an estimated Vs30 to develop the microzonation studies in this area.

3D visualization of geophysical resistivity data to delineate contamination anomalies in a landfill

Geophysical data represent subsoil structure in a specific area and can be used to extract subsoil information for various purposes. In this work we used this data type to detect anomalies/contamination in the subsoil. Our case study was based on data acquired around a landfill and the main objective is identifying contaminated areas as a result of leakage in landfill. This involves the application of statistical methods to detect anomalous values taking into account the whole data set, subdividing it in sublevels in relation to the surface, instead of using a single threshold (as usual). This work combines in the same software package the anomaly statistical analysis and several 3D representations of the results to validate and also helps understanding the final results of the analysis. Given that the original data used in the analysis, resistivity sections, is normally very sparse, a kriging geostatistical process was used to interpolate data in order to provide a volumetric representation of the subsoil in the area, providing a continuous spatial visualization.

Statistical Method to Delineate Resistivity Anomalies Associated with Contamination from a Controlled Dump - N Portugal

The assessment of contaminants dispersion in Controlled Dumps (CD) of Municipal Solid Waste (MSW) is possible through the combination of geophysical, geochemical and geostatistical methods as described in this paper. The methodology applied in this study will contribute to evaluate the environmental consequences of the Matosinhos CD (N Portugal), which is set in a granitic crystalline geological context with a permeability controlled by differential weathering associated with fracturing. The statistical methods here described (Lepeltier, 1969; Matschullat et al. 2000) are adapted to use in geophysical data obtained from the resistivity profiles performed in the CD surroundings by the electrical resistivity method. Groundwater samples were collected in piezometers; upstream and downstream of the CD, with the aim of directly confirming the presence of contaminants indirectly detected by the geophysical and geostatistical methods. The combination of these different approaches allows an approach to the detection and delineation of contaminant plumes from these deposits.

Spatial Distribution of Weathering Using Seismic Refraction – Further Results in the Vicinity of Canelas, NW Portugal

In the recent years the ever growing concern of policy makers with respect to natural hazards has led researchers and practitioners to seek more reliable, precise and time efficient techniques map zones prone to hazards. Mass movement is a hazard common to many mountainous areas around the world which can pose a serious threat to the population living within the area as well as to the structures, property, environment and crops. Several geophysical methods assume a relevant role in monitoring and surveying unstable slopes. Our aim was to show that seismic refraction can meet the demands of a time efficient and cost effective method to map this vulnerability. We performed a series if profiles with the aim of determining distribution of rock weathering thickness and velocity distribution within the vicinity of Canelas (NW Portugal). The results of each profile were analysed to give thickness of geotechnical soil as well as average values for both near surface and deeper part of each profile. The results were georeferenced in GIS and thus the estimation of the spatial distribution of the parameters allowed a means of observing some correlation with the previously mapped features of the area, namely the geology and topography.