Percorrer por autor "Lopes, Vasco"
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- Communicating Science in the Natural Park of Serras D Aire and Candeeiros, First Steps in Science Communication in the HIGHLANDS.3 ProjectPublication . Silva, Julio; Santos, Luis; Lopes, VascoO turismo de natureza é uma das indústrias que mais cresceu no mundo desde o início do século. Este crescimento é raramente acompanhado pelos sistemas de gestão de áreas naturais que lutam contra o número crescente de turistas, falta de infraestruturas, informação e organização. Uma das soluções adotadas por muitas áreas naturais é a adoção de classificações adicionais, tais como reservas de biosfera, Ramsar, Natura 2000, entre muitas outras. Esta abordagem estratégica comprometeu a maior parte das estruturas de gestão aos esforços burocráticos, tornando difícil o processo de adaptação. As várias classificações, embora facilmente compreendidas, ficam aquém dos objetivos pretendidos, apresentando metodologias tradicionais, promoção ineficaz, baixo envolvimento local e estratégias de educação convencionais. O conhecimento académico e o profissionalismo audiovisual podem produzir materiais promocionais e de vídeo documental para uma vasta gama de públicos, fornecendo ferramentas de comunicação, educacionais e de desenvolvimento. A comunicação científica é uma poderosa ferramenta de gestão de áreas classificadas, a participação na gestão por entidades regionais, beneficia o envolvimento de municípios, instituições de ensino superior, organizações não governamentais e stakeholders, intervindo no desenvolvimento territorial sustentável, com responsabilidades na promoção, sensibilização e comunicação. Este estudo apresentará um vídeo introdutório exemplificador da estratégia de comunicação do Parque Natural das Serras D'Aire e Candeeiros, adaptável a outras áreas protegidas como estratégia de turismo. Conclui-se que a comunicação em áreas naturais classificadas deve ser regida pelo mesmo rigor e qualidade exigidos em ciência sem perder o interesse necessário pela sua comunicação efetiva e eficiente, para se obter turismo de qualidade.
- Mathematical models to measure the variability of nodes and networks in team sportsPublication . M. L. Martins, Fernando; Gomes, Ricardo; Lopes, Vasco; Silva, Frutuoso G. M.; Mendes, RuiPattern analysis is a widely researched topic in team sports performance analysis, using information theory as a conceptual framework. Bayesian methods are also used in this research field, but the association between these two is being developed. The aim of this paper is to present new mathematical concepts that are based on information and probability theory and can be applied to network analysis in Team Sports. These results are based on the transition matrices of the Markov chain, associated with the adjacency matrices of a network with n nodes and allowing for a more robust analysis of the variability of interactions in team sports. The proposed models refer to individual and collective rates and indexes of total variability between players and teams as well as the overall passing capacity of a network, all of which are demonstrated in the UEFA 2020/2021 Champions League Final.
- Modelling of long term low water level in mountain river catchments areaPublication . Kopacz, Marek; Kowalewski, Zbigniew; Santos, Luis; Mazur, Robert; Lopes, Vasco; Kowalczyk, Agnieszka; Bar-Michalczyk, DominikaChanging atmospheric conditions, including above all the deepening extreme weather phenomena, are increasing from year to year. This, in consequence, causes an increase in the incidence of low outflows. The study compares low water levels for two catchments: Biała Woda and Czarna Woda, and phosphorus and nitrogen load using the Nutrient Delivery Ratio (NDR) model in InVEST software. The objective of the NDR is to map nutrient sources from catchment area and transfer to the river bed. The nutrient loads (nitrogen and phosphorus) spread across the landscape are determined based on a land use (LULC) map and associated loading rates described in literature. The studies have shown that low water levels have been more common recently and pose the greatest threat to the biological life in the aquatic ecosystems. The structure of land use is also of great importance, with a significant impact on the runoff and nitrogen and phosphorus load. Phosphorus and runoff from surface sources to the water of Biała Woda and Czarna Woda catchments area has been reduced in forested areas. Only higher run-offs are observed in the residential buildings zone. The nitrogen load was also greater in the lower (estuary) parts of both catchments, where residential buildings dominate.
- Modernized Forest Fire Risk Assessment Model Based on the Case Study of three Portuguese Municipalities Frequently Affected by Forest FiresPublication . Santos, Luis; Lopes, Vasco; Baptista, CecíliaThe number of forest fires ignitions has decreased worldwide, thus observing increased levels of intensity and destruction, endangering urban areas and causing material damages and deaths (Portugal, 2017). Forest fire hazard mapping supported by the surveillance strategy targeted at very susceptible areas with high losses potential are the common tools of fire prevention. Each municipality creates its own Forest Fire Hazard Map, and so it is observed that along the administrative boundaries, discrepancies occur, even when identical types of land use are in place. The evolution of geographic information systems technology sustained by the open-source satellite imagery, along with the innovative Habitat Risk Assessment model of the InVEST software, allowed the creation of an easily applicable trans-administrative boundary fire hazard map, with frequent update capabilities and fully open source. This work considered three municipalities (Tomar, Ourém, and Ferreira do Zêzere) that annually observe various forest fire occurrences. Results enabled the creation of a homogeneous Forest Fire Risk Map, using landuse, slope, road access network, fire ignitions’ history, visualization basins, and the Normalized Difference Vegetation Index (NDVI) as variables. All variables correlate with each other using different weights, in which the different classes of land use are considered as habitats and the remaining variables as fire hazard stressors. The results produce a coherent monthly updated Risk Map, which is an alternative to many risk assessment systems used worldwide.
- Node and network entropy : a novel mathematical model for pattern analysis of team sports behaviorPublication . M. L. Martins, Fernando; Gomes, Ricardo; Lopes, Vasco; G. M. Silva, Frutuoso; Mendes, RuiPattern analysis is a well-established topic in team sports performance analysis, and is usually centered on the analysis of passing sequences. Taking a Bayesian approach to the study of these interactions, this work presents novel entropy mathematical models for Markov chain-based pattern analysis in team sports networks, with Relative Transition Entropy and Network Transition Entropy applied to both passing and reception patterns. To demonstrate their applicability, these mathematical models were used in a case study in football—the 2016/2017 Champions League Final, where both teams were analyzed. The results show that the winning team, Real Madrid, presented greater values for both individual and team transition entropies, which indicate that greater levels of unpredictability may bring teams closer to victory. In conclusion, these metrics may provide information to game analysts, allowing them to provide coaches with accurate and timely information about the key players of the game.