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About

About

Adelaide Cerveira received the B.Sc. degree in Mathematics- Operations Research branch from the University of Coimbra, Coimbra, Portugal, in 1993, the M.Sc. degree in Operations Research from the University of Lisbon, Lisbon, Portugal, in 1998, and the Ph.D. degree in Statistics and Operations Research from the University of Lisbon, Lisbon, Portugal, in 2006.

She is currently an Auxiliary Professor in Mathematics Department of Science and Technology School with UTAD.

Her current research interests include combinatorial optimization and applications, especially on forest management and Network Design. Her past research also includes Semidefinite Programming and applications to Structural Design.

Interest
Topics
Details

Details

  • Name

    Adelaide Cerveira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st May 2015
Publications

2019

Statistical Study of Curing Conditions in Alkali Activation of Mine Tailings

Authors
Correia, E; Cerveira, A; Fernández-Jiménez, A; Coelho, J; Miranda, T; Castro, F; Cristelo, N;

Publication
Environmental Geotechnics

Abstract

2018

Wine productivity per farm size: a maximum entropy application

Authors
Galindro, A; Santos, M; Santos, C; Marta-Costa, A; Matias, J; Cerveira, A;

Publication
Wine Economics and Policy

Abstract

2018

A climate index proposal for the wine sector: A descriptive statistical approach

Authors
Galindro, A; Marta Costa, AA; Cerveira, A; Matias, J;

Publication
E3S Web of Conferences

Abstract
Understanding the role of the climate on the wine production is one of the major concerns of this sector since the environment usually determines the output of this industry. There are only a few previous studies that attempted to compile these environmental effects as an index, usually considering the temperature and the precipitation as their core variables. The present study suggests a new climate index which is based on descriptive statistics. Our index tries to mimic the target region characteristics and avoid the past studies premise of imposing previously conceived restrictions such as a fixed optimal climate. We then used yearly production and daily temperature data (1950-2016) from the Portuguese Minho wine region to test our proposed index and compare it with Ribéreau-Gayon and Peynaud (RGP, Ribéreau-Gayon et al., 2003) and Growing Degree-Days (GDD, Winkler et al., 1974) indexes. Our results showed that the newly proposed index may outperform the explanatory power of the other indexes and, in addition, may output interesting and unknown characteristics such as the different ideal temperatures regarding the studied region. © The Authors, published by EDP Sciences, 2018.

2017

Self-thinning dynamics in cork oak woodlands: providing a baseline for managing density

Authors
Fonseca, T; Monteiro, L; Enes, T; Cerveira, A;

Publication
FOREST SYSTEMS

Abstract
Aim of study: The study aims to evaluate the maximum potential stocking level in cork oak (Quercus suber L.) woodlands, using the ecologically-based size-density relationship of the self-thinning law. Area of study: The study area refers to cork oak forests in mainland Portugal, distributed along its 18 districts from north to south. Material and Methods: A dataset with a total of 2181 observations regarding pure cork oak stands was collected from the Portuguese Forest Inventory (NFI) databases and from research plots. The dataset was subjected to two filtering procedures, one more restrictive than the other, to select the stands presenting the higher stocking values. The two resulting subsets, with 116 and 36 observations, from 16 and 10 districts of mainland Portugal, respectively, were then used to assess and describe the allometric relationship between tree number and their mean diameter. Main results: The allometric relationship was analysed and modelled using the log transformed variables. A slightly curvilinear trend was identified. Thus, a straight line and a curve were both fitted for comparison purposes. Goodness-of-fit statistics point out for a good performance when the data is set to the uppermost observed stocking values. A self-thinning line for cork oak was projected from the estimated relationship. Research highlights: The self-thinning model can be used as an ecological approach to develop density guidelines for oak woodlands in a scenario of increasing cork demands. The results indicate that the recommendations being applied in Portugal are far below the maximal potential stocking values for the species. It is therefore of the utmost importance to review the traditional silvicultural guidelines and endorse new ones.

2017

Statistical Analysis of the Influence of Several Factors on Compressive Strength of Alkali Activated Fly Ash

Authors
Cerveira, A; Correia, E; Cristelo, N; Miranda, T; Castro, F; Fernandez Jimenez, A;

Publication
Procedia Structural Integrity

Abstract

Supervised
thesis

2016

Sistemas de Suporte à Decisão Aplicados à Gestão Florestal Sustentável em Povoamentos de Pinus pinaster Ait.

Author
Paulo Daniel Monteiro Costa

Institution
UTAD

2016

-

Author
Chong liu

Institution
UM

2016

Otimização do abastecimento interno do Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE

Author
Javier Alvarez da Rocha

Institution
UTAD

2015

Ecologia e relação diâmetro-densidade em povoamentos sobreiro (Quercus Suber L.)

Author
Luísa Raquel Ribeiro Monteiro

Institution
UTAD