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Percorrer por autor "Barreira, Raquel"

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  • An information system for infrastructure asset management tailored to portuguese water utilities: platform conceptualization and a prototype demonstration
    Publication . Carriço, Nelson; Ferreira, Bruno; Antunes, André; Grueau, Cédric; Barreira, Raquel; Mendes, Ana; Covas, Dídia; Monteiro, Laura; Santos, João Filipe; Brito, Isabel Sofia
    This paper describes a new information system developed as part of the Portuguese R&D project DECIdE. The project aimed at the development of a platform for infrastructure asset management tailored to Portuguese water utilities. The platform allows the integration of different data from several information systems of the water utilities and includes several tools for the performance assessment of the water supply systems in terms of water losses, energy efficiency and quality of service (i.e., water and energy balances and key performance indicators). The developed platform was tested with data from five small to medium size Portuguese water utilities with different maturity levels in terms of technological and human resources. The obtained results are very promising because the platform allows for periodic system performance assessment which constitutes an important part of the infrastructure asset management for small and medium-sized water utilities.
    2023Artigo científico Acesso aberto Ver mais
  • An information systems for infrastructure asset management tailored to portuguese water utilities: platform conceptualization and a prototype demonstration
    Publication . Carriço, Nelson; Ferreira, Bruno; Antunes, André; Grueau, Cédric; Barreira, Raquel; Mendes, Ana; Covas, Dídia; Monteiro, Laura; Santos, João; Brito, Isabel S.
    This paper presents a new information technology platform specially tailored for infrastructure asset management of urban water systems operated by water utilities of lower digital maturity level, developed in the scope of DECIdE research project. This platform aims at the integration of different data from the water utilities with several information systems and the assessment of the system performance, in terms of water losses, energy efficiency and quality of service by using developed tools (i.e., water and energy balances and key performance indicators). This platform was tested with data from five small to medium size Portuguese water utilities with different maturity levels in terms of technological and human resources. Obtained results are very promising since the platform allows to assess the systems performance periodically which constitute an important part of the infrastructure asset management for small and medium-sized water utilities
    2022Preprint Acesso aberto Ver mais
  • Comparison of reconstruction methods for water supply systems flow rate time series
    Publication . Ascensão, Carlos Ferreira; Ferreira, Bruno; Barreira, Raquel; Carriço, Nelson
    The purpose of this paper is to compare the performance of five univariate models for the reconstruction of flow rate time series. Errors in the measurements may occur due to problems in the sensor or in the communication system with data logger, thus generating missing data in the flow rate time series. The presence of missing values in flow rate data restricts its use in network operation processes. The performance of seasonal ARIMA, Standard and double seasonality Holt-Winters, and original and improved Quevedo approach are assessed. The analysis is made considering a real Portuguese case study and 1- month of flow rate data at 1-hour and 10-minute period. The holidays compared to the weekdays show great differences in consumption patterns. For this reason, the effect of forecasting holidays is assessed. Obtained results evidence that the improved Quevedo model can cope with different time step intervals and type of day being forecasted, with a reduced computation time.
    2021-05Documento de conferência Acesso aberto Ver mais
  • Comparison of reconstruction methods for water supply systems flow rate time series
    Publication . Ascenção, Carlos; Ferreira, Bruno; Barreira, Raquel; Carriço, Nelson
    The purpose of this paper is to compare the performance of five uni- variate models for the reconstruction of flow rate time series. Errors in the meas- urements may occur due to problems in the sensor or in the communication sys- tem with data logger, thus generating missing data in the flow rate time series. The presence of missing values in flow rate data restricts its use in network op- eration processes. The performance of seasonal ARIMA, Standard and double seasonality Holt-Winters, and original and improved Quevedo approach are as- sessed. The analysis is made considering a real Portuguese case study and 1- month of flow rate data at 1-hour and 10-minute period. The holidays compared to the weekdays show great differences in consumption patterns. For this reason, the effect of forecasting holidays is assessed. Obtained results evidence that the improved Quevedo model can cope with different time step intervals and type of day being forecasted, with a reduced computation time
    2021Capítulo de livro Acesso restrito Ver mais
  • Construção de um sistema de modelos para simulação computacional da limitação natural de pragas
    Publication . Paz, Maria Catarina; Barreira, Raquel; Amaro, Luís; Sousa, José Paulo; Benhadi-Marín, Jacinto; Rasko, Mykola; Silva, António Alves da; Alves, Joana; Mina, Ruben; Chuhutin, Andrey; Duan, Xiaodong; Topping, Christopher John; Santos, Sónia A.P.
    A limitação natural de pragas é um serviço de ecossistema que deve ser promovido nos sistemas agrícolas, já que pode ser usada como alternativa, ou complementarmente, à aplicação de pesticidas. Consiste no consumo das pragas pelos seus inimigos naturais e pode ser promovida através do estabelecimento de componentes paisagísticas que forneçam, a estes inimigos das pragas, alimento alternativo e refúgio, para além da aplicação de práticas agrícolas sustentáveis. No entanto, o delineamento de uma estratégia eficaz de limitação natural de pragas está dependente da caracterização detalhada dos comportamentos dos animais que fazem parte dessa cadeia trófica, nomeadamente, das pragas e dos seus predadores, o que pode ser feito através de simulações computacionais. Neste contexto, e no âmbito do projeto OLIVESIM, estamos a construir um sistema de modelos para simular a biologia e o comportamento de duas espécies de artrópodes (1) a mosca-da-azeitona, Bactrocera oleae (Rossi), praga chave da oliveira, e (2) a aranha de solo, Haplodrassus rufipes (Lucas), um dos potenciais predadores da praga, e as suas interações com a paisagem selecionada para realizar este estudo, localizada na região de Trás-os-Montes (Mirandela, Portugal) e caracterizada fundamentalmente por olival tradicional. Para isso, está a ser utilizado o sistema ALMaSS (Animal, Landscape and Man Simulation System), que recebe inputs diários de variáveis climáticas e também de ações de gestão agrícola, e que é calibrado com dados sobre abundância quantitativa e qualitativa de animais. Neste simpósio focamo-nos nestes dois modelos, mostrando também o estado atual deste trabalho.
    2022Capítulo de livro Acesso aberto Ver mais
  • Construção de um sistema de modelos para simulação computacional da limitação natural de pragas
    Publication . Paz, Maria Catarina; Barreira, Raquel; Amaro, Luís; Sousa, José Paulo; Benhadi-Marín, Jacinto; Rasko, Mykola; Silva, António Alves da; Alves, Joana; Mina, Rúben; Chuhutin, Andrey; Duan, Xiaodong; Topping, Christopher John; Santos, Sónia A.P.
    2021-10Documento de conferência Acesso aberto Ver mais
  • Cross-Diffusion in Reaction-Diffusion Models:Analysis, Numerics, and Applications
    Publication . Madzvamuse, Anotida; Barreira, Raquel; Gerisch, Alf
    2017Capítulo de livro Acesso aberto Ver mais
  • Cross-diffusion-driven instability for reaction-diffusion systems: analysis and simulations
    Publication . Madzvamuse, Anotida; Ndakwo, Hussaini; Barreira, Raquel
    By introducing linear cross-diffusion for a two-component reaction-diffusion system withactivator-depletedreaction kinetics (Gierer and Meinhardt,Kybernetik 12:30–39,1972;PrigogineandLefever,JChemPhys48:1695–1700,1968;Schnakenberg, J Theor Biol 81:389–400,1979), we derivecross-diffusion-driveninstability conditions and show that they are a generalisation of the classical diffusion-driveninstabilityconditionsintheabsenceofcross-diffusion.Ourmostrevealingresultis that, in contrast to the classical reaction-diffusion systems without cross-diffusion,it is no longer necessary to enforce that one of the species diffuse much faster than theother.Furthermore,it is no longer necessary to have an activator–inhibitor mecha-nism as premises for pattern formation, activator–activator,inhibitor–inhibitorreac-tion kinetics as well asshort-range inhibitionandlong-range activationall have thepotential of giving rise to cross-diffusion-driven instability. To support our theoreti-cal findings, we compute cross-diffusion induced parameter spaces and demonstratesimilarities and differences to those obtained using standard reaction-diffusion theory.Finite element numerical simulations on planary square domains are presented to back-up theoretical predictions. For the numerical simulations presented, we choose parameter values from and outside the classical Turing diffusively-driven instability space;outside, these are chosen to belong to cross-diffusively-driven instability parameterspaces. Our numerical experiments validate our theoretical predictions that parameterspaces induced by cross-diffusion in both theuandvcomponents of the reaction-diffusion system are substantially larger and different from those without cross-diffusion. Furthermore, the parameter spaces without cross-diffusion are sub-spacesof the cross-diffusion induced parameter spaces. Our results allow experimentalists tohave a wider range of parameter spaces from which to select reaction kinetic parametervalues that will give rise to spatial patterning in the presence of cross-diffusion.
    2015Artigo científico Acesso restrito Ver mais
  • Developing a subpopulation-based model for the olive fruit fly Bactrocera oleae (Diptera: Tephritidae): conceptual model out-line
    Publication . Paz, Maria Catarina; Santos, Sónia A.P.; Barreira, Raquel; Rasko, Mykola; Xiaodong, Duan; Alves, Joana; Silva, António Alves da; Mina, Rúben; Topping, Christopher J.; Sousa, José Paulo
    Bactrocera oleae Rossi (olive fruit fly) is a dipteran of the family Tephritidae, considered the key pest of olives in Mediterranean countries, where it causes losses of great economic impact. Nat ural pest control is an important alternative or complement to the use of plant protection products against B. oleae. This is an ecosystem service that can be enhanced if we are able to predict its behav ior, which can be done through computer models simulating interactions between animals, agricul tural management and climate. In this paper we present the conceptual model of a spatially explicit subpopulation-based model being developed for B. oleae in olive groves. In this modelling tech nique, the simulated dynamic landscape is segmented into non-overlapping cells, where the sub populations of B. oleae are represented as separate but interacting entities. Our model is based on the Animal Landscape Man Simulation System (ALMaSS), which comprises a highly detailed and realistic landscape representation, incorporating data on different aspects of farm management, crop development, and climate, and where simulated entities operate. We present the general out line of B. oleae’s life cycle, as well as succinct information on how these organisms interact with their environment. This is a step for the development of the final model and its implementation in AL MaSS.
    2021Artigo científico Acesso aberto Ver mais
  • Developing an Agent-Based Model for Haplodrassus rufipes (Araneae: Gnaphosidae), a Generalist Predator Species of Olive Tree Pests: Conceptual Model Outline
    Publication . Barreira, Raquel; Paz, Maria Catarina; Amaro, Luís; Sousa, José Paulo; Benhadi-Marín, Jacinto; Rasko, Mykola; Silva, António Alves da; Alves, Joana; Chuhutin, Andrey; Topping, Christopher John; Santos, Sónia A.P.
    Olive growing has been facing major sustainability challenges due to intensification, resulting in an increased use of pesticides and fertilizers and, consequently, in the depletion of natural resources and loss of biodiversity and landscape values. This has created an urgent need to develop models for managing complex agroecosystems that integrate factors affecting food quality, sustainability and biodiversity, providing a supporting technique to understand the consequences of agricultural management for ecosystem services. We are developing an advanced agent-based simulation (ABS) applied to olive groves to model the effects of farming practices on the abundance of olive pest predators. ABS is a modeling technique where agents represent animals (predator arthropods, in our case) acting in their environment. Our model is based on an ABS system developed by Aarhus University, the ALMaSS, which comprises highly detailed farm management and spatial structures to construct dynamic landscapes where agents operate. In this work, we present the conceptual model for one of the selected species, Haplodrassus rufipes (Araneae: Gnaphosidae.
    2021Artigo científico Acesso aberto Ver mais