Momento Económico (22)

En este número Temas de hoy. 2/ Acerca de la contaminación en la zona metropolitana de la Ciudad de México, Gloria González Salazar, 3/ Dificultades y posibilidades de Cordemex, Esther Iglesias 7/ Cepal en 1985, Ruth Cuevas Orozco, 8/ Detras de la crisis textil, la pobreza de las masas, Ma. Luisa González Marín,12/ Problemas de inversión en el sector agropecuario de México, Adolfo Sánchez Almanza, 13

An SVM-based solution for fault detection in wind turbines

Research into fault diagnosis in machines with a wide range of variable loads and speeds, such as wind turbines, is of great industrial interest. Analysis of the power signals emitted by wind turbines for the diagnosis of mechanical faults in their mechanical transmission chain is insufficient. A successful diagnosis requires the inclusion of accelerometers to evaluate vibrations. This work presents a multi-sensory system for fault diagnosis in wind turbines, combined with a data-mining solution for the classification of the operational state of the turbine. The selected sensors are accelerometers, in which vibration signals are processed using angular resampling techniques and electrical, torque and speed measurements. Support vector machines (SVMs) are selected for the classification task, including two traditional and two promising new kernels. This multi-sensory system has been validated on a test-bed that simulates the real conditions of wind turbines with two fault typologies: misalignment and imbalance. Comparison of SVM performance with the results of artificial neural networks (ANNs) shows that linear kernel SVM outperforms other kernels and ANNs in terms of accuracy, training and tuning times. The suitability and superior performance of linear SVM is also experimentally analyzed, to conclude that this data acquisition technique generates linearly separable datasets.Projects, CENIT-2008-1028, TIN2011-24046, IPT-2011-1265-020000 and DPI2009-06124-E/DPI of the Spanish Ministry of Economy and Competitivenes

Building resilience to water scarcity in Southern Spain: A case study of rice farming in Doñana protected wetlands

Agricultural water management needs to evolve in view of increased water scarcity, especially when farming and natural protected areas are closely linked. In the study site of Don?ana (southern Spain), water is shared by rice producers and a world heritage biodiversity ecosystem. Our aim is to contribute to defining adaptation strategies that may build resilience to increasing water scarcity and minimize water conflicts among agricultural and natural systems. The analytical framework links a participatory process with quantitative methods to prioritize the adaptation options. Bottom-up proposed adaptation measures are evaluated by a multi-criteria analysis (MCA) that includes both socioeconomic criteria and criteria of the ecosystem services affected by the adaptation options. Criteria weights are estimated by three different methods?analytic hierarchy process, Likert scale and equal weights?that are then compared. Finally, scores from an MCA are input into an optimization model used to determine the optimal land-use distribution in order to maximize utility and land-use diversification according to different scenarios of funds and water availability. While our results show a spectrum of perceptions of priorities among stakeholders, there is one overriding theme that is to define a way to restore part of the rice fields to natural wetlands. These results hold true under the current climate scenario and evenmore so under an increased water scarcity scenario

Datos químico-oceanográficos de la Ría de Pontevedra en invierno. Parte I

Se presentan datos de salinidad, fracción de agua dulce, temperatura, densidad, estabilidad, oxígeno disuelto, porcentaje de saturación de oxígeno, consumo aparente de oxígeno y de nutrientes (nitritos, nitratos y fosfatos) de la Ría de Pontevedra, correspondientes al invierno de 1980. Se efectúa un avance de interpretación simplista de los resultados.Data of temperature, salinity, density, stability, dissolved oxygen, % oxygen saturation, apparent oxygen consumation, nutrients (nitrate, nitrite, phosphate) parameters taken in winter 1980 in the Ría de Pontevedra (NW Spain) are presented. Also a brief interpretation of results are included.Versión del editor0,000

Multi-ionic effects on energy production based on double layer expansion by salinity exchange

The edited version of the manuscript can be obtained at: Delgado et al., J. Colloid Interface Science (2014); DOI http://dx.doi.org/10.1016/j.jcis.2014.08.009It has been recently shown that the free energy change upon salinity mixing in river mouths can be harvested taking advantage of the fact that the capacitance of charged solid/liquid interfaces (electrical double layers, EDLs) depends strongly on the ionic composition of the liquid medium. This has led to a new generation of techniques called Capmix technologies, one of them (CDLE or Capacitive energy extraction based on DL Expansion) based precisely on such dependence. Despite the solution composition playing a crucial role on the whole process, most of the research carried out so far has mainly focused on pure sodium chloride solutions. However, the effect of other species usually present in river and sea waters should be considered both theoretically and experimentally in order to succeed in optimizing a future device. In this paper, we analyse solutions of a more realistic composition from two points of view. Firstly, we find both experimentally and theoretically that the presence of ions other than sodium and chloride, even at low concentrations, may lead to a lower energy extraction in the process. Secondly, we experimentally consider the possible effects of other materials usually dispersed in natural water (mineral particles, microbes, shells, pollutants) by checking their accumulation in the carbon films used, after being exposed for a long period to natural sea water during CDLE cycles.Universidad de Granada. Departamento de Física AplicadaThe research leading to these results received funding from the European Union 7th Framework Programme (FP7/2007-2013) under agreement No. 256868. Financial support from Junta de Andalucia (Project PE2012-FQM 694) and MINECO (Project FIS2013-4766-C3-1-R) is also acknowledged. One of us, M.M.F., is grateful to the University of Granada for her FPU grant

Student Perceptions of the Resilience in a Confinement Due to COVID-19 in University of A Coruña: A Qualitative Research

[Abstract] The home confinement caused by COVID-19 has caused university students to express feelings, negative experiences, and concerns about the confinement situation they were experiencing. This prompted the development of research on resilience, which shows that it is closely related to well-being. The general objective is to determine if resilience acts as a guarantor of personal growth and, therefore, of the self-perception of well-being. The research is developed with qualitative methodology and is framed in the interpretative phenomenological analysis approach and is framed in the hermeneutic-dialectical method. The selection of participants was carried out through an intentional sampling, by non-random methods, among university students. Fifty-two students participated, 41 are women (78.84%) and 11 men (21.15%), with an average age of 20.7 years. The information was collected through a diary card in which they had to collect their experiences and prepare a short speech identifying three temporal moments of confinement: beginning, during, and end. The information was collected between 16 April and 15 May 2020. An inductive analysis was carried out, and the emerging categories were defined: personal growth, resilience, and well-being. Personal growth materializes through three subcategories: personal changes, interpersonal changes, and changes in the philosophy of life. The university students showed that the vital transformation related with resilience acts as a guarantor of personal growth and self-perception of well-being. A voluntary, conscious, and intelligent evolution of people is detected, and personal changes, interpersonal changes, and changes in the philosophy of life are identified as factors of personal growth

Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations

Context. Point source (PS) detection is an important issue for future cosmic microwave background (CMB) experiments since they are one of the main contaminants to the recovery of CMB signal on small scales. Improving its multi-frequency detection would allow us to take into account valuable information otherwise neglected when extracting PS using a channel-by-channel approach. Aims. We aim to develop an artificial intelligence method based on fully convolutional neural networks to detect PS in multi-frequency realistic simulations and compare its performance against one of the most popular multi-frequency PS detection methods, the matrix filters. The frequencies used in our analysis are 143, 217, and 353 GHz, and we imposed a Galactic cut of 30°. Methods. We produced multi-frequency realistic simulations of the sky by adding contaminating signals to the PS maps as the CMB, the cosmic infrared background, the Galactic thermal emission, the thermal Sunyaev-Zel’dovich effect, and the instrumental and PS shot noises. These simulations were used to train two neural networks called flat and spectral MultiPoSeIDoNs. The first one considers PS with a flat spectrum, and the second one is more realistic and general because it takes into account the spectral behaviour of the PS. Then, we compared the performance on reliability, completeness, and flux density estimation accuracy for both MultiPoSeIDoNs and the matrix filters. Results. Using a flux detection limit of 60 mJy, MultiPoSeIDoN successfully recovered PS reaching the 90% completeness level at 58 mJy for the flat case, and at 79, 71, and 60 mJy for the spectral case at 143, 217, and 353 GHz, respectively. The matrix filters reach the 90% completeness level at 84, 79, and 123 mJy. To reduce the number of spurious sources, we used a safer 4σ flux density detection limit for the matrix filters, the same as was used in the Planck catalogues, obtaining the 90% of completeness level at 113, 92, and 398 mJy. In all cases, MultiPoSeIDoN obtains a much lower number of spurious sources with respect to the filtering method. The recovering of the flux density of the detections, attending to the results on photometry, is better for the neural networks, which have a relative error of 10% above 100 mJy for the three frequencies, while the filter obtains a 10% relative error above 150 mJy for 143 and 217 GHz, and above 200 mJy for 353 GHz. Conclusions. Based on the results, neural networks are the perfect candidates to substitute filtering methods to detect multi-frequency PS in future CMB experiments. Moreover, we show that a multi-frequency approach can detect sources with higher accuracy than single-frequency approaches also based on neural networks.We warmly thank the anonymous referee for the very useful comments on the original manuscript. J.M.C., J.G.N., L.B., M.M.C. and D.C. acknowledge financial support from the PGC 2018 project PGC2018-101948-B-I00 (MICINN, FEDER). DH acknowledges the Spanish MINECO and the Spanish Ministerio de Ciencia, Innovación y Universidades for partial financial support under project PGC2018-101814-B-I00. M.M.C. acknowledges PAPI-20-PF-23 (Universidad de Oviedo). J.D.C.J., M.L.S., S.L.S.G., J.D.S. and F.S.L. acknowledge financial support from the I+D 2017 project AYA2017-89121-P and support from the European Union’s Horizon 2020 research and innovation programme under the H2020-INFRAIA-2018-2020 grant agreement No 210489629. This research has made use of the python packages ipython (Pérez & Granger 2007), matplotlib (Hunter 2007), TensorFlow (Abadi et al. 2015), Numpy (Oliphant 2006) and Scipy (Jones et al. 2001), also the HEALPix (Górski et al. 2005) and healpy (Zonca et al. 2019) packages

Improvement and sustainable management of river corridors in the Iberian Atlantic Region

Resumen de la contribución presentada en el congreso.SER Europe Conference, Restoration in the Era of Climate Change (11th, 2018, Reykjavick)Se incluyen 2 archivos: resumen de la ponencia y póster de la misma.VERBATIM: In the Iberian Atlantic Region, there are several landscape change processes (changes in the land use, presence of invasive species, activities regarding public use, intensification of agricultural and livestock farming, climate change) and phytosanitary problems (alder diseases caused by Phytophthora ssp.) that, currently, are threat factors of river corridor habitats. These factors are deteriorating and fragmenting them, and having a relevant impact on their functionality. The LIFE Fluvial project aims to mitigate these consequences, to improve the conservation status and to develop sustainable management measures of river and fluvio-estuarine corridors. Selected areas in the project are Natura 2000 sites belonging to several river basins located in the northwest of the Iberian Peninsula (Spain and Portugal). To this aim, LIFE Fluvial has designed the following actions: A detailed analysis of the current status and implementation of a trans-national model for the sustainable management of river corridors to reduce the negative impact caused by the threats and to avoid their spread towards other UE territories. Design and implementation of restoration projects to improve conservation status of the natural habitats of interest, connectivity and to reduce fragmentation. Control of invasive flora species that pose a threat to the conservation of river corridors, and improvement of their phytosanitary state by removing trees infected by Phytophthora Dissemination of the environmental relevance of river corridors and social awareness in terms of socioeconomic benefits and ecosystem services provided. Improvement of training/education and technical empowerment of the stakeholders involved in the management and conservation of river corridors. The project lasts four years (2017-2021) and includes a system to monitor the impact of the actions on habitats and ecosystem services provided by river corridors