Morphological classification of microtidal sand and gravel beaches

A new classification of microtidal sand and gravel beaches with very different morphologies is presented below. In 557 studied transects, 14 variables were used. Among the variables to be emphasized is the depth of the Posidonia oceanica. The classification was performed for 9 types of beaches: Type 1: Sand and gravel beaches, Type 2: Sand and gravel separated beaches, Type 3: Gravel and sand beaches, Type 4: Gravel and sand separated beaches, Type 5: Pure gravel beaches, Type 6: Open sand beaches, Type 7: Supported sand beaches, Type 8: Bisupported sand beaches and Type 9: Enclosed beaches. For the classification, several tools were used: discriminant analysis, neural networks and Support Vector Machines (SVM), the results were then compared. As there is no theory for deciding which is the most convenient neural network architecture to deal with a particular data set, an experimental study was performed with different numbers of neuron in the hidden layer. Finally, an architecture with 30 neurons was chosen. Different kernels were employed for SVM (Linear, Polynomial, Radial basis function and Sigmoid). The results obtained for the discriminant analysis were not as good as those obtained for the other two methods (ANN and SVM) which showed similar success.

Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR data – modelling and validation

Subsidence is a natural hazard that affects wide areas in the world causing important economic costs annually. This phenomenon has occurred in the metropolitan area of Murcia City (SE Spain) as a result of groundwater overexploitation. In this work aquifer system subsidence is investigated using an advanced differential SAR interferometry remote sensing technique (A-DInSAR) called Stable Point Network (SPN). The SPN derived displacement results, mainly the velocity displacement maps and the time series of the displacement, reveal that in the period 2004–2008 the rate of subsidence in Murcia metropolitan area doubled with respect to the previous period from 1995 to 2005. The acceleration of the deformation phenomenon is explained by the drought period started in 2006. The comparison of the temporal evolution of the displacements measured with the extensometers and the SPN technique shows an average absolute error of 3.9±3.8 mm. Finally, results from a finite element model developed to simulate the recorded time history subsidence from known water table height changes compares well with the SPN displacement time series estimations. This result demonstrates the potential of A-DInSAR techniques to validate subsidence prediction models as an alternative to using instrumental ground based techniques for validation.

Uso do zoneamento ambiental do Médio Rio Grande como instrumento de gestão no município de Delfinópolis-MG

Este trabalho faz parte do Projeto Grande Minas - União Pelas Águas, que realizou o Zoneamento Ambiental das Sub-Bacias Hidrográficas dos Afluentes Mineiros do Médio Rio Grande. O zoneamento foi concluído em 2013 e produziu importantes informações sobre os meios físico, biótico e socioeconômico dos 22 municípios que compõem a bacia hidrográfica, dentre eles o local de estudo, que é o município de Delfinópolis - MG. Dentre os instrumentos que podem contribuir para o desenvolvimento sustentável, o município pode utilizar, além do zoneamento ambiental, o plano diretor municipal e o plano de manejo do Parque Nacional da Serra da Canastra, uma vez que esta unidade de conservação insere-se no município. Torna-se importante, entretanto, a integração destes três importantes instrumentos de gestão para que o planejamento municipal e as ações de política pública possam ser realizados de forma consistente. Este trabalho vem contribuir na avaliação e integração destas informações (Plano Diretor Municipal, Plano de Manejo, Zoneamento Ambiental) e os resultados deverão contribuir com os administradores públicos na tomada de decisões e na resolução dos problemas enfrentados na região, como exemplo as queimadas, o uso inadequado dos recursos hídricos, as atividades modificadoras do meio físico. A sistemática metodológica adotada envolveu a avaliação de dados existentes e a construção de um banco de dados digital do município; análise dos instrumentos legais de planejamento e gestão municipal e elaboração de produtos cartográficos interpretativos de fácil leitura e entendimento que possam ser utilizados diretamente pelos gestores públicos. A análise e avaliação dos dados existentes permitiu diagnosticar algumas características peculiares ao município, como a sua vocação para o turismo, com mais de 40 atrativos ligados ao ecoturismo; o grande número de minerações de areia e cascalho, grande parte delas não regularizada; e os conflitos locais existentes diante das atividades da economia rural e a necessidade de preservação impostas pela unidade de conservação.

Forensic analysis of buildings affected by mining subsidence based on Differential Interferometry (Part III)

This work presents a forensic analysis of buildings affected by mining subsidence, which is based on deformation data obtained by Differential Interferometry (DInSAR). The proposed test site is La Union village (Murcia, SE Spain) where subsidence was triggered in an industrial area due to the collapse of abandoned underground mining labours occurred in 1998. In the first part of this work the study area was introduced, describing the spatial and temporal evolution of ground subsidence, through the elaboration of a cracks map on the buildings located within the affected area. In the second part, the evolution of the most significant cracks found in the most damaged buildings was monitored using biaxial extensometric units and inclinometers. This article describes the work performed in the third part, where DInSAR processing of satellite radar data, available between 1998 and 2008, has permitted to determine the spatial and temporal evolution of the deformation of all the buildings of the study area in a period when no continuous in situ instrumental data is available. Additionally, the comparison of these results with the forensic data gathered in the 2005–2008 period, reveal that there is a coincidence between damaged buildings, buildings where extensometers register significant movements of cracks, and buildings deformation estimated from radar data. As a result, it has been demonstrated that the integration of DInSAR data into forensic analysis methodologies contributes to improve significantly the assessment of the damages of buildings affected by mining subsidence.