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Risk assessment for the surface water quality evaluation of a hydrological basin

Brito, Irene; Gonçalves, A. Manuela; Pedra, Ana Cristina Gonçalves

This paper proposes a risk assessment methodology for evaluating the surface water quality of hydrological basins. It is shown that the methodology can be used to determine the riskiest periods for water pollution in the year and to assess the risk of water sampling station clusters. The methodology consists first in determining the pollution risk implied by physico-chemical parameters (measured in different wa...


Vision inspection design for systematic production of needle beds: an industria...

Freitas, Luis; Malheiro, M. Teresa; Gonçalves, A. Manuela; Vicente, José; Pereira, Filipe; Morais, Francisco; Bessa, João; Machado, José

The increasingly standards of the electronic industry, especially in Printed Circuit Boards, make In-Circuit-Test Machines one of the most important systems on the production lines. With this, the pressure on the In-Circuit-Test Machines production to meet this strict requirements it is getting bigger every day. To react to this pressure it is necessary to update, in a technological point of view, the manufactu...


Time series clustering of air quality monitoring stations: the study case of th...

Cossa, Gabriel Chicale; Costa, Marco; Gonçalves, A. Manuela

Since air pollution is a major public health concern, collecting and analyzing air quality indicators data is very important for monitoring pollution. Data on these indicators are generally collected through air quality monitoring stations located in specific areas. In this study, 12 monitoring sites belonging to the Beijing Municipal Environmental Monitoring Center air pollution monitoring network are clustere...


Model of driving factors for success in public health project management using ...

Santos, Carolina; Varajão, João; Takagi, Nilton Hideki; Gonçalves, A. Manuela

In a context where pandemic crises and chronic conditions are a constant and increasing threat, the success of public health projects is absolutely critical. However, little is known about the factors that influence the success of projects that aim to provide conditions for people to be healthy and prolong the life of the population as a whole. A mixed-method study was carried out to fill the literature gap, re...


Predictive accuracy of time series models applied to economic data: the Europea...

Lima, S.; Gonçalves, A. Manuela; Costa, M.

Modeling and accurately forecasting trend and seasonal patterns of a time series is a crucial activity in economics. The main propose of this study is to evaluate and compare the performance of three traditional forecasting methods, namely the ARIMA models and their extensions, the classical decomposition time series associated with multiple linear regression models with correlated errors, and the Holt–Winters ...


Meteorological time series: an exploratory statistical and critical analysis

Gonçalves, A. Manuela; Pereira, F. Catarina; Costa, Marco; Leão, Celina Pinto

Increasingly, reduction of water availability has been a reality, and population growth, pollution, and climate change have contributed to exacerbating this problem. Dry periods, which occur when precipitation is lower than expected in a given territory, have become more frequent and prolonged, and therefore it is crucial to efficiently manage water use in response to environmental concerns. The main challenge ...


Study on project management in Portugal within the scope of the Portuguese Proj...

Miranda, Catarina; Tereso, Anabela Pereira; Gonçalves, A. Manuela; Sousa, Paulo Manuel Ferreira; Engrácia, Pedro

The Portuguese Project Management Observatory (PPMO), an initiative of the Portuguese Association of Project Management (APOGEP), is being developed by the University of Minho in partnership with other 17 Higher Education institutions. The main objectives of this research were to understand the tools and techniques most and least used by organizations, the use of agile methodologies, the maturity of each Projec...


Improving predictive accuracy in the context of dynamic modelling of non-statio...

Pereira, Fernanda Catarina; Gonçalves, A. Manuela; Costa, Marco

Most real time series exhibit certain characteristics that make the choice of model and its specification difficult. The objective of this study is to address the problem of parameter estimation and the accuracy of forecasts k-steps ahead in non-stationary time series with outliers in the context of state-space models. In this paper, three methods for detecting and treating outliers are proposed. We also presen...


Short-term forecast improvement of maximum temperature by state-space model app...

Pereira, F. Catarina; Gonçalves, A. Manuela; Costa, Marco

In the context of "TO CHAIR'' project, this work aims to improve the accuracy of short-term forecasts of maximum air temperature obtained from the https://weatherstack.com/ website. The proposed methodology is based on a state-space representation that incorporates the latent process, the state, which is estimated recursively using the Kalman filter. The proposed model linearly and stochastically relates the fo...


Meteorological time series: an exploratory statistical and critical analysis

Gonçalves, A. Manuela; Pereira, F. Catarina; Costa, Marco; Leão, Celina P.

Increasingly, reduction of water availability has been a real- ity, and population growth, pollution, and climate change have con- tributed to exacerbating this problem. Dry periods, which occur when precipitation is lower than expected in a given territory, have become more frequent and prolonged, and therefore it is crucial to efficiently manage water use in response to environmental concerns. The main chal- ...


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