M. C. Bueso

Technical University of Cartagena | UPCT · Department of Applied Mathematics and Statistics

Industrial activities have historically generated significant quantities of by-products, including pyrite cinders, a residue produced during the synthesis of sulphuric acid. This study presents a multidisciplinary approach to characterise an abandoned pyrite cinder deposit. Combining geophysical (electrical resistivity tomography—ERT), geochemical,...

The objective of this work was to gain insight into the operating conditions that affect the efficiency of ultrasound-assisted extraction (UAE) parameters to achieve the best recovery of bioactive compounds from broccoli leaf and floret byproducts. Therefore, total phenolic content (TPC) and the main sulfur bioactive compounds (sulforaphane (SFN) a...

In recent years, increased emphasis has been placed on the challenge of brine disposal, driven by a heightened awareness of substantial environmental concerns associated with the utilization of desalination processes for freshwater production. By implementing Zero Liquid Discharge (ZLD) processes, desalination plants can reduce their environmental...

Response Surface Methodology (RSM) is a widely used mathematical tool for process optimization, setting their main factorial variables. The current research analyzes and summarizes the current knowledge about the RSM in the extraction of carotenoids from fruit and vegetable by-products, following a systematic review protocol (Prisma 2020 Statement)...

Wind turbine blades have been constantly increasing since wind energy becomes a popular renewable energy source to generate electricity. Therefore, the wind sector requires a more efficient and representative characterization of vertical wind speed profiles to assess the potential for a wind power plant site. This paper proposes an alternative char...

The aim of this research was to analyze the drivers and barriers facing the agents involved in the energy renovation process and the effective use of existing subsidies for this purpose. The drive for energy renovation in buildings is undeniable. European policies aiming to completely decarbonize the economy by 2050 will give an important boost to...

The effect of the QTL involved in climacteric ripening ETHQB3.5 on the fruit VOC composition was studied using a set of Near-Isogenic Lines (NILs) containing overlapping introgressions from the Korean accession PI 16375 on the chromosome 3 in the climacteric ‘Piel de Sapo’ (PS) genetic background. ETHQB3.5 was mapped in an interval of 1.24 Mb that...

Phosphoric fertiliser has enormously contributed to agriculture; however, it generates five tonnes of phosphogypsum per ton of phosphoric acid synthesised. Phosphogypsum houses heavy metals and long-lived radioactive elements that represents an environmental issue requiring remediation. This paper presents a methodology for characterising phosphogy...

Nowadays, with the development of international policies and agreements to promote the integration of renewable energy sources, mainly solar and wind, modeling the solar resource by including the spatio-temporal variability is crucial to determine future PV power plant locations and estimate potential power generation performances. However, contrib...

Due to the relevant penetration of solar PV power plants, an accurate power generation forecasting of these installations is crucial to provide both reliability and stability of current grids. At the same time, PV monitoring requirements are more and more demanded by different agents to provide reliable information regarding performances, efficienc...

The rapid evolution of wind energy in reducing CO2 emissions world wide is undeniable, which is, in fact, expected to continue or even increase its impressive yearly capacity growth. In this regard, optimizing operations and maintenance of wind turbines (WTs) and farms is considered to be one of the options for reducing the levelized cost of electr...

This study presents the results of a physical-chemical characterisation of phosphogypsum deposits generated with hydrochloric and sulphuric acid during the wet acid process. The paper aims to establish an efficient methodology based on electrical resistivity tomography (ERT), chemical analysis and multivariate analysis identifying the areas most co...

BACKGROUND A near‐isogenic line (NIL) of melon (SC10‐2) with introgression in linkage group X was studied from harvest (at firm‐ripe stage of maturity) until day 18 of postharvest storage at 20.5 °C together with its parental control (‘Piel de Sapo’, PS). RESULTS SC10‐2 showed higher flesh firmness and whole fruit hardness but lower juiciness than...

The legacy of the mining industry has left a large number of tailing ponds in the Cartagena-La Unión mining district exposed to water and wind erosion, which causes serious environmental and health problems and requires remediation. Before applying any remediation technique, an intensive sampling of the materials infilling the pond is required to d...

A melon non-climacteric near-isogenic line (NIL) SC10-2 and its parental ‘Piel de Sapo’ (PS) line were studied in two different seasons to analyse the seasonal effects of an introgression (located in LG X) on texture and aroma volatiles at harvest. Several univariate and multivariate statistical techniques were used to determine the association bet...

The increasing integration of photovoltaic (PV) power plants into power systems demands a high accuracy of yield prediction and measurement. With this aim, different global horizontal irradiance (GHI) estimations based on new-generation geostationary satellites have been recently proposed, providing a growing number of solutions and databases, most...

One of the wastes generated in fertiliser production from phosphoric rock is phosphogypsum, whose mismanagement lead to environmental and health risks. Therefore, a detailed evaluation of the chemical composition of phosphogypsum is necessary to determine effective means of its management. Due to the high amount of generated waste, the cost and tim...

Wind power plants are becoming a generally accepted resource in the generation mix of many utilities. At the same time, the size and the power rating of individual wind turbines have increased considerably. Under these circumstances, the sector is increasingly demanding an accurate characterization of vertical wind speed profiles to estimate proper...

The integration of renewables into power systems has led to multiple studies and analysis in terms of grid-power quality, reliability, and/or feasibility. Among different resources to be considered as alternative energy systems, wind and solar emerge as the most mature technologies. With regard to photovoltaic (PV) installations, monitoring problem...

A methodology for making consistent studies of outliers of non-climacteric melon volatile organic compounds at harvest is reported. The juice was squeezed from the fruit of the ‘Piel de sapo’ cultivar harvested during two consecutive seasons and the aroma volatiles were extracted by headspace solid phase microextraction and measured by gas chromato...

Aleppo pine is the most abundant conifer species in Mediterranean basin. Knowledge of adaptive mechanisms to cope with different environmental stresses simultaneously is necessary to improve its resilience to the predicted climatic changes and anthropogenic stressors, such as heavy metal/metal(loid)s (HMMs) pollution. Here, one year-old needles and...

Environmental contamination by hazardous heavy metals/metalloids (metal(loid)s) is growing worldwide. To restrict the migration of toxic contaminants, the establishment of a self-sustainable plant cover is required. Plant growth in multi-polluted soils is a challenging issue not only by metal(loid) toxicities, but also by the co-occurrence of other...

Soil pollution by heavy metals/metalloids (HMMs) is a problem worldwide. To prevent dispersion of contaminated particles by erosion, the maintenance of a vegetative cover is needed. Successful plant establishment in multi-polluted soils can be hampered not only by HMM toxicities, but also by soil nutrient deficiencies and the co-occurrence of abiot...

Generalized statistical complexity measures provide a means to jointly quantify inner information and relative structural richness of a system described in terms of a probability model. As a natural divergence-based extension in this context, generalized relative complexity measures have been proposed for the local comparison of two given probabili...

The Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind p...

This paper proposes and assesses an integrated solution to monitor and diagnose photovoltaic (PV) solar modules based on a decentralized wireless sensor acquisition system. Both DC electrical variables and environmental data are collected at PV module level using low-cost and high-energy efficiency node sensors. Data is real-time processed locally...

Melon aroma volatiles were extracted at harvest from juice of a climacteric near-isogenic line (NIL) SC3-5-1 with two QTLs introgressed which produced climacteric behavior and its non-climacteric parental (PS) using two methodologies of analysis: static headspace solid phase micro-extraction (HS-SPME) by gas chromatography-mass spectrometry (GC-MS)...

Melon (Cucumis melo L.) fruit show a high diversity of postharvest physiological behavior, including climacteric and non-climacteric genotypes with distinct aroma profiles. The inside needle dynamic extraction (INDEX) technology to extract headspace of juice aroma volatiles coupled with aroma fingerprinting by electronic nose was used to discrimina...

This paper focuses on a new approach to model photovoltaic (PV) solar modules based on symmetric-shifted Gompertz functions. This solution significantly reduces the number of fitting parameters, convergence problems, and computational costs in comparison with previous modeling. The entire $I$ –$V$ curve is provided, as well as relevant nonlinear re...

Climacteric and non-climacteric cultivars coexist in melon (Cucumis melo L.) and this is a great opportunity to study aroma volatiles associated with different climacteric behavior (Obando-Ulloa et al., 2008). Two major QTLs have been identified in melon that interacts epistatically in linkage groups III and VI (Moreno et al., 2008; Vegas et al., 2...

The texture and aroma volatiles of two non-climacteric near-isogenic lines (NILs) of melon (Cucumis melo L.), SC10-2 and SC7-1, containing introgressions of the Korean cultivar ‘Shongwan Charmi’ accession PI161375 (SC) in the Spanish cultivar ‘Piel de Sapo’ (PS) were studied. Data were examined using different supervised and unsupervised univariate...

En diferentes cultivares de melón aromáticos y climatéricos o no climatéricos se han detectado diferencias en producción de etileno durante la maduración postcosecha. Los volátiles del parental “Piel de Sapo” (PS) y de una variedad comercial (“Nicolás”) sirvieron de referencia como no climatéricos mientras que la línea casi isogénica 6M1 y la varie...

In many applications, spatio-temporal sampling procedures allow for temporal adaptability, in the sense that the set of spatial sampling locations can be modified between different observation times. This chapter describes and illustrates some related approaches, mainly based on entropy criteria. The effect of variable transformations such as avera...

Risk indicators used in many applications usually involve certain transformations of the variables of interest, such as averages or maxima over given time periods or spatial regions, threshold exceedances, etc., or a combination of them. A common practice is to predict these indicators by applying the same type of transformation on the sample data,...

This paper describes the application of sliced inverse regression to model the electrochemical process of aluminum smelter plants. Real data measurements obtained during several years in a Spanish industrial environment are used to illustrate the main dependencies between parameters. Nonlinear relations between the output variables and relevant lin...

This paper describes the application of a Non-Linear Regression technique to model CdTe Thin-Film Solar Modules. From the proposed approach, relevant non-linear relations between environmental and electrical variables are given, minimizing the number of fitting parameters in comparison with previous approaches. The proposed non-linear model can be...

AB: Sensory attributes of near-isogenic lines of melon derived from climacteric a near-isogenic line with introgression in linkage group III and others of the Korean accession PI 161375 (SC) in the genetic background of the parental line ´Piel de sapo´ were studied. The objective of this study was to obtain information about the location of quantit...

BACKGROUND: This paper characterizes the quality traits at harvest and the changes associated with fruit senescence based on fruit physiological behaviour (climacteric or non‐climacteric) found in a collection of near‐isogenic lines (NILs) of melon ( Cucumis melo L.). Data from both stages of postharvest development were analyzed by univariate and...

This paper characterizes the changes in aroma volatiles associated with fruit senescence based on the climacteric or non-climacteric behavior found in a collection of near-isogenic lines (NILs) of melon (Cucumis melo L.). Data were analyzed by univariate and multivariate methodologies. In general, senescence led to a decrease in complexity of the a...

AB: Los estudios sobre calidad de fruto y metabolómica orientada a la mejora vegetal generan una infinidad de datos. De los mismos resulta difícil extraer conclusiones con los métodos estadísticos univariantes. Entre los métodos multivariantes aplicadas a este tipo de estudios y en postcosecha de melón destacan el análisis de componentes principale...

Aroma volatiles and fruit quality traits at harvest or after senescence were determined in a collection of near-isogenic lines (NILs) with different climacteric behavior (three non-climacteric including the parental ´Piel de sapo´ and the rest climacteric). Data were analyzed by partial least squares discriminant analysis. In senescent fruit, four...

Entropy-based criteria for spatiotemporal sampling design naturally incorporate prior knowledge on structural heterogeneities of processes involved in environmental applications, an important aspect of variation to be considered for risk assessment purposes. Whenever possible, real-time observations must be also integrated for dynamic adaptation of...

A methodology for the conformational study of cyclic systems through the statistical analysis of torsion angles is presented. It relies on a combination of different methods based on a probabilistic model which takes into account the topological symmetry of the structures. This methodology is applied to copper complexes double-bridged by phosphate...

In this paper we address the problem of classifying the conformations of m-membered rings using experimental observations obtained by crystal structure analysis. After formulating a model for the data generation mechanism that is based on a multidimensional mixture model and takes into account the symmetry of the data, we suggest an algorithm, base...

Spatial sampling design methods are commonly used to select a finite set of locations where observations provide optimal information, under a prescribed criterion, for parameter estimation and spatial inter/extrapolation on the basis of an appropriate statistical model. In some situations, environmental applications may also involve information fro...

In a previous paper (Environ. Ecol. Stat. 5 (1998) 29.) we presented an entropy-based approach to spatial sampling design in a state-space model framework. We now address the problem of sensitivity of optimal designs with respect to the configuration of the set of potential observation sites considered, as well as to the model specifications. The l...

Many geophysical processes exhibit complex spatiotemporal interaction. In this paper a class of nonstationary statistical models with finite-order autoregressive spatiotemporal dynamics is introduced. The associated prediction problem is solved by implementing the Kalman filter in terms of multivariate versions of the spatial Karhunen-Loève and wav...

We consider the problem of design of sampling strategies for predic-tion of spatially distributed variables. An empirical study is carried outto show the effect of the model specifications and of the configuration ofcandidate observation sites on the designs obtained, under the optimalentropy criterion

The problem of estimating a multivariate spatial random process from observations obtained by sampling a related multivariate spatial random process is considered. A method based on additive perturbation of the variables of interest is proposed for the assignment of degrees of relative importance to the variables and/or locations of interest in the...

 Optimal selection of sampling strategies is considered for the prediction of spatio-temporal processes in a state-space-model framework. General conditions are assumed in relation to the basic elements of the problem: modelling space-time interaction, formulating prediction objectives, defining the type and structure of sampling configurations, an...

A new methodology is introduced for spatial sampling design when the variable of interest cannot be directly observed, but information on it can be obtained by sampling a related variable, and estimation of the underlying model is required. An approach based on entropy has been proposed by Bueso, Angulo, and Alonso (1998, Environ. Ecol. Statist.5,...

The problem of spatial sampling design for estimating a multivariate random field from information obtained by sampling related variables is considered. A formulation assigning different degrees of importance to the variables and locations involved is introduced. Adopting an entropy-based approach, an objective function is defined as a linear combi...

The principle of minimum description length (MDL) provides an approach for selecting the model class with the smallest stochastic complexity of the data among a set of model classes. However, when only incomplete data are available the stochastic complexity for the complete data cannot be numerically computed. In this paper, this problem is solved...

Spatial sampling design in a multivariate state-space context is considered when different degrees of importance are given to each variable and to each location of interest. The objective of this work is to formulate criteria for network design based on perturbation of the covariance matrix of the underlying multivariate random process. The methodo...

We consider the spatial sampling design problem for a random field X. This random field is in general assumed not to be directly observable, but sample information from a related variable Y is available. Our purpose in this paper is to present a state-space model approach to network design based on Shannon's definition of entropy, and describe its...

We consider the problem of maximum-likelihood estimation and smoothing for lattice processes using incomplete data. In a previous paper (Alonso et al. 1996) the authors developed a methodology based on an application of the EM algorithm on a state-space framework for this problem. Now, the procedure is extended using new versions of EM-type algorit...

The economic development of the district of Axarquía, Malaga (Spain) depends to a large extent on the use in agriculture of ground water taken from the river Vélez alluvial aquifer. The intense exploitation of this aquifer requires its piezometric and hydrochemical characteristics to be carefully monitored, bearing in mind the risk of seawater intr...

Multidimensional discrete-parameter processes with factorable covariance structure are of great importance for applications and approximations to certain continuous parameter processes. In practical situations, usually only incomplete data are available, so state-space schemes are normally used for modelling and prediction. In this work we describe...