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Browsing Colecciones Institucionales by browse.metadata.categoriaods "06 Agua limpia y saneamiento"
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- ItemA comparative study of manhole hydraulics using stereoscopic PIV and different RANS models(2018) Azim Beg, Md Nazmul; Carvalho, Rita F.; Tait, Simon; Brevis Vergara, Wernher; Rubinato, Matteo; Schellart, Alma; Leandro, Jorge
- ItemA composite indicator approach to assess the sustainability and resilience of wastewater management alternatives(2020) Sun, Y.; Garrido Baserba, M.; Molinos Senante, María; Donikian, N. A.; Poch, M.; Rosso, D.
- ItemA comprehensive evaluation of pedotransfer functions for predicting soil water content in environmental modeling and ecosystem management(2018) Contreras, Cristina P.; Bonilla Meléndez, Carlos Alberto
- ItemA Dynamic, Multivariate Sustainability Measure for Robust Analysis of Water Management under Climate and Demand Uncertainty in an Arid Environment(2015) Hunter Cure, Christian Kent; Gironás León, Jorge Alfredo; CEDEUS (Chile)
- ItemA First in Human Trial Implanting Microalgae Shows Safety of Photosynthetic Therapy for the Effective Treatment of Full Thickness Skin Wounds(FRONTIERS MEDIA SA, 2021) Obaid, Miguel Luis; Camacho, Juan Pablo; Brenet, Marianne; Corrales Orovio, Rocio; Carvajal Diaz, Felipe Alonso; Martorell, Ximena; Werner, Consuelo; Simon, Valeska; Varas, Juan; Calderon, Wilfredo; Guzman, Christian Dani; Bono, Maria Rosa; San Martin, Sebastián; Eblen Zajjur, Antonio Alejandro; Egaña Erazo, José TomásInsufficient oxygen supply represents a relevant issue in several fields of human physiology and medicine. It has been suggested that the implantation of photosynthetic cells can provide oxygen to tissues in the absence of a vascular supply. This approach has been demonstrated to be successful in several in vitro and in vivo models; however, no data is available about their safety in human patients. Here, an early phase-1 clinical trial ( identifier: NCT03960164, ) is presented to evaluate the safety and feasibility of implanting photosynthetic scaffolds for dermal regeneration in eight patients with full-thickness skin wounds. Overall, this trial shows that the presence of the photosynthetic microalgae Chlamydomonas reinhardtii in the implanted scaffolds did not trigger any deleterious local or systemic immune responses in a 90 days follow-up, allowing full tissue regeneration in humans. The results presented here represent the first attempt to treat patients with photosynthetic cells, supporting the translation of photosynthetic therapies into clinics.
- ItemA framework for hybrid model predictive control in mineral processing(2015) Karelovic, Pablo; Putz, Eduardo; Cipriano, Aldo
- ItemA GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling(2017) Sanzana Cuevas, Pedro Pablo; Gironás León, Jorge Alfredo; Brand, I.; Branger, F.; Rodríguez, F.; Vargas, X.; Hitschfeld, N.; Muñoz Pardo, José Francisco; Vicuña, Sebastián; Mejía, A.; Jankowski, S.; CEDEUS (Chile)
- ItemA hybrid representation approach for modelling complex dynamic bioprocesses(2000) Thibault, J.; Acuna, G.; Perez Correa, Jose Ricardo; Jorquera, H.; Molin, P.; Agosin, E.
- ItemA hydrogeochemistry and isotopic approach for the assessment of surface water-groundwater dynamics in an arid basin : the Limari watershed, North-Central Chile(2015) Oyarzun, Ricardo; Jofre, Elizabeth; Morales, Paulina; Maturana, Hugo; Oyarzun, Jorge; Kretschmer, Nicole; Aguirre, Evelyn; Gallardo, Patricio; Toro, Luis E.; Muñoz Pardo, José Francisco; Aravena, Ramón
- ItemA machine learning-based analysis of actual evaporation drivers across different land covers in the chilean andean plateau(2024) Boada Campos, Javiera Ignacia; Suárez Poch, Francisco Ignacio; Pontificia Universidad Católica de Chile. Escuela de IngenieríaLa estimación precisa de la evaporación (E) es crucial para la gestión del agua en regiones áridas como el Altiplano chileno. Aquí, E es el principal flujo de salida de agua en cuencas endorreicas, predominando en salares, superficies vegetadas, suelos desnudos con aguas subterráneas poco profundas y lagunas salinas someras. Estimar E es desafiante debido a su naturaleza altamente dinámica, influenciada por procesos atmosféricos y por el tipo de cobertura terrestre. Aunque los algoritmos de aprendizaje automático (ML) han mostrado ser prometedores para entender E, aún no se ha profundizado en cómo la cobertura terrestre afecta las principales variables que predicen E. Este estudio emplea técnicas de ML para determinar los impulsores de E en distintas coberturas evaporíticas del Altiplano. Tres algoritmos de ML fueron evaluados utilizando flujos de E y datos ambientales de campañas de terreno. Random Forest (RF) emergió como el algoritmo más efectivo debido a su mejor rendimiento y menor tiempo de ejecución. Las variables ambientales clave fueron identificadas utilizando el método explicativo SHAP. Los resultados revelaron que E en salares y vegetación están principalmente limitadas por la disponibilidad de energía. El suelo desnudo se ve influenciado tanto por la energía como por la disponibilidad de agua, mientras que la turbulencia mecánica domina sobre las superficies de agua. Al definir umbrales de impacto para los principales impulsores, se demostró la interdependencia entre procesos físicos y estados ambientales en la promoción de E. Finalmente, la sensibilidad del modelo indicó que es posible predecir E con cuatro variables para salares, vegetación y suelo desnudo, y tres para superficies de agua, sin pérdida significativa de precisión. Este enfoque permite establecer una red de estaciones meteorológicas de bajo costo para estimar E en toda la región. Esta investigación mejora la comprensión de cómo las características de la superficie y las condiciones ambientales influyen en E, ofreciendo información valiosa para la gestión efectiva de los recursos hídricos en regiones áridas.
- ItemA mechanism of male germ cell apoptosis induced by bisphenol-A and nonylphenol involving ADAM17 and p38 MAPK activation(2014) Urriola Muñoz, Paulina Andrea; Lagos Cabré, Raúl Cristián.; Moreno Mauro, Ricardo D.
- ItemA method to estimate maximum and minimum air temperature using MODIS surface temperature and vegetation data : application to the Maipo Basin, Chile(2015) Bustos, E.; Meza, Francisco Javier
- ItemA Mixed-Integer Programming Model for Gas Purchase and Transportation(2005) Contesse Becker, Luis; Ferrer Ortiz, Juan Carlos; Maturana Valderrama, SergioThe natural gas supply chain involves three main agents: producers, transportation companies, and local distribution companies (LDCs). We present a MIP model that is the basis for a decision support system developed for a Chilean LDC. This model takes into account many of the complexities of the purchasing and transportation contracts to help optimize daily purchase and transportation decisions in the absence of local storage facilities. The model was solved to optimality within a reasonable time. We show how the model handles several contractual issues and give some insights for the case when demand scenarios are used to deal with uncertainty.
- ItemA model for simulating the performance and irrigation of green stormwater facilities at residential scales in semiarid and Mediterranean regions(2017) Herrera, J.; Bonilla Meléndez, Carlos Alberto; Castro, L.; Vera Araya, Sergio Eduardo; Reyes, R.; Gironás León, Jorge Alfredo
- ItemA morpho-climatic instantaneous unit hydrograph model for urban catchments based on the kinematic wave approximation(ELSEVIER SCIENCE BV, 2009) Gironas, Jorge; Niemann, Jeffrey D.; Roesner, Larry A.; Rodriguez, Fabrice; Andrieu, HerveStormwater models are valuable tools in urban planning as well as stormwater system design and management. Although the hydraulic simulation of pipes and channels in these models is often quite sophisticated, the hydrologic simulation of the flow contributing to the hydraulic elements is frequently greatly simplified. Hydrologic simulation of urban catchments is made particularly complex due to the presence of features such as streets, small pipes, and channels. In this study, we develop a new model called the U-McIUH (Urban Morpho-climatic Instantaneous Unit Hydrograph), which defines the IUH as the probability density function of the travel time from a random location in the urban terrain to the outlet. Flow paths are extracted from a specially processed digital elevation model that incorporates hillslopes, streets, pipes, and channels, and travel times are computed in each cell using the average wave celerity from kinematic wave theory. These expressions depend on the upstream contribution of flow and the excess rainfall intensity, so they incorporate the so-called climatic dependence of the IUH, which is the dependence of the unit hydrograph on the rainfall intensity. Rainfall pulses of different intensities are convoluted with their respective IUH and superimposed to generate the response to a given storm event. The application of the model to a real catchment provides good reproduction of observed hydrographs, suggesting that the U-McIUH is able to capture some significant hydrologic properties of the catchment. The model is studied by analyzing the effects of (1) the upstream contribution of flow on the travel time formulation, (2) the variation of flow velocities within the urban catchment, (3) the non-linear dependence of the IUH on the rainfall intensity (i.e. the climatic dependence), and (4) the spatial distribution of imperviousness. Overall, these results suggest that the presence of artificial elements in urban watersheds has a significant role in determining the travel times and thus the hydrologic response of the watershed. (C) 2009 Elsevier B.V. All rights reserved.
- ItemA multiscale inversion algorithm for engineering inspection using GPR data(2023) Gutierrez Cid, Sergio Enrique; Menanno, Giovanni; Yanez, Gonzalo
- ItemA neural network estimator for total biomass of filamentous fungi growing on two dimensional solid substrate(KLUWER ACADEMIC PUBL, 1998) Acuna, G; Giral, R; Agosin, E; Jorquera, H; Perez Correa, R; Ferret, E; Molin, P; Thibault, JA neural network dynamic model is proposed for the on-line estimation of total biomass during filamentous fungi cultures on two dimensional solid substrate. The neural network provides an accurate and robust estimation of biomass from macroscopic measurements of the colony radius evolution. Experiments were performed on Gibberella fujikuroi growing on Petri dishes under different conditions of temperature and water activity.
- ItemA new aerobic chemolithoautotrophic arsenic oxidizing microorganism isolated from a high Andean watershed(2018) Anguita, Javiera M.; Rojas, Claudia; Pastén González, Pablo Arturo; Vargas Cucurella, Ignacio Tomás; CEDEUS (Chile)
- ItemA new applications manual for the Storm Water Management Model (SWMM)(2009) Gironas Leon, Jorge Alfredo; Roesner, Larry A.; Rossman, Lewis A.; Davis, Jennifer
- ItemA new method for sensing soil water content in green roofs using plant microbial fuel cells(2018) Tapia, N. F.; Rojas, C.; Bonilla Meléndez, Carlos Alberto; Vargas, I. T.; CEDEUS (Chile)