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Evaluating Smart Building Features for Fire, Electrical, and Life Safety: A Rapid Human-LLM Framework for Literature Review and Research Mapping
(2025) Leiva-Araos, Andrés; Kalasapudi, Vamsi; Jiang, Aiyin; Kaushal, Hemani
The rapid integration of smart technologies into modern buildings is fundamentally transforming fire, electrical, and life safety (FELS) systems. This paper introduces a hybrid Human–Large Language Model (LLM) framework designed to efficiently conduct large-scale literature reviews, systematically map existing research, and identify critical knowledge gaps in smart building safety. Leveraging advanced LLMs for high-throughput summarization, topic modeling, and gap analysis, combined with expert validation, this method ensures both scalability and domain-specific rigor. The study analyzes 1,409 publications retrieved from Scopus, culminating in a refined corpus of 83 high-quality articles categorized into nine thematic clusters, including advanced sensing technologies, automation, enhanced connectivity, digital twins, cybersecurity, standard compliance, sustainability, specialized applications, and decision-making in disaster response. Detailed gap analyses reveal significant challenges related to realworld validation of AI-based systems, interoperability among IoT devices, cybersecurity vulnerabilities, and the need for dynamic evacuation and hazard modeling. The resulting knowledge map and research roadmap provide actionable insights for researchers, practitioners, and policymakers aiming to advance safer, smarter, and more resilient built environments. The proposed framework demonstrates how AI-assisted methodologies can accelerate knowledge synthesis while preserving analytical depth, offering a scalable solution for rapidly evolving interdisciplinary research domains.
Podcasts educativos: una herramienta innovadora en la educación de enfermería
(2025) Guerra Sánchez, Fabiola Alejandra; Contreras Gutiérrez, Jorge Eduardo; Núñez Núñez, Alejandro Patricio; Reeves Valentino, Sergio Alejandro; Pérez Acuña, Claudia Verónica
Introducción: En una sociedad en constante cambio, la educación debe adaptarse para satisfacer las necesidades de los estudiantes. Recursos innovadores tecnológicos, enseñanza híbrida y otros recursos desempeñan un rol relevante en esta adaptación. Para maximizar su impacto, es esencial examinarlos desde diversas perspectivas.
Objetivo: Evaluar la satisfacción con podcasts educativos complementarios utilizados en una asignatura de sexto semestre de la carrera de enfermería en una universidad privada en Chile.
Métodos: Estudio de tipo cuantitativo, descriptivo, inferencial, de corte transversal, con un muestreo no probabilístico y por conveniencia, que consideró como criterio de inclusión la disponibilidad y disposición de los sujetos a participar. La muestra estuvo constituida por 79 estudiantes de un universo de 113. Los datos fueron obtenidos usando el “Cuestionario de satisfacción del estudiante con podcasts educativos”. El estudio contó con la aprobación del Comité de ética institucional y se resguardaron todos los criterios éticos.
Resultados: La puntuación global obtenida tras la aplicación del “Cuestionario de satisfacción del estudiante con podcasts educativos” mostró altos índices de satisfacción con la herramienta en general. Los valores de estadística descriptiva por cada ítem evidenciaron resultados positivos en relación con el nivel de satisfacción.
Conclusiones: Los podcasts educativos de tipo complementario presentan altos niveles de satisfacción en la población estudiada, lo que resulta coherente con la literatura. Queda el desafío de estudiar los efectos de los podcasts educativos en los niveles superiores del modelo de Kirkpatrick.
Towards a Circular Fashion Future: A Textile Revalorization Model Combining Public and Expert Insights from Chile
(2025) Palma, Cristian D.; Cabello, Priscilla
The global textile industry has a significant environmental impact, driven by fast fashion and rising consumption, which leads to large amounts of waste. In Chile, this problem is especially visible, with thousands of tons of discarded clothing accumulating in open areas and landfills. This study explores how to design a practical textile revalorization system grounded in local reality. We used a qualitative mixed-methods approach, combining semi-structured interviews with six experts in textile circularity and an online survey completed by 328 people. Thematic analysis revealed low public awareness of textile recycling, limited consumer participation, and major structural barriers, including scarce infrastructure and unclear regulations. Experts emphasized the importance of coordinated action among government, industry, and grassroots recyclers, while survey respondents highlighted the need for education and easier recycling options. Based on these insights, we propose an integrated framework that combines education campaigns, better recycling systems, and formal recognition of informal recyclers’ work. While centered on Chile, the study offers ideas that could support textile circularity efforts in other countries facing similar challenges. By merging expert knowledge with everyday public perspectives, the approach helps design more realistic and socially grounded solutions for textile waste management. As with many exploratory frameworks, external validation remains a necessary step for future research to strengthen its robustness and applicability.
Resolving Crustal and Subcrustal Dynamic Sources in Continental Arc Magmas: The Cenozoic Andean Arc of Central Chile
(2026) Muñoz, M.; Fanning, C.M.; Tapia, F.; Payacán, I.; Fuentes, F.; Farías, M.; Charrier, R.; Polvé, M.; Quiñones, S.; Deckart, K.; Fock, A.
The Andean margin of Central Chile (∼32°40′–34°30′S) records abundant Cenozoic arc magmatic activity with variable compositional characteristics. This is examined through the analysis of an extensive database of new and published whole-rock geochemistry and Sr-Nd isotopic compositions, in addition to zircon Hf and O isotopic compositions. The whole-rock data record an increasing assimilation of continental crust material that developed through the compressional regime set in the margin in the Early Miocene that led to the construction of the modern Andes. The same is recorded by the Hf and O isotopic compositions, but these also allow identification of components involved in the magma genesis: (a) the sub arc mantle derived primary magmas, (b) a late Paleozoic—Early Triassic crystalline component, as that currently outcropping immediately to the east of the study area, (c) a deep enriched component, which likely corresponds to the Cuyania terrane, a Grenville age basement recognized further east in this Andean region, and (d) a deep juvenile low-δ18O component, interpreted here as basement with oceanic crust affinities. This latter component reveals a possible composite nature for the Chilenia terrane, the postulated Grenville age basement in the region. The Cenozoic Andean arc magmas correspond to the differentiated products of an extensive intra-crustal re-working, taking place along tens of kilometers below their emplacement level, and whose main imprint is on the magmatic isotopic composition. Our results document the role of the continental crust, particularly regarding its evolving architecture and constitution, over the composition of arc magmas.
Coordinated Truck Loading and Routing Problem: A Forestry Logistics Case Study
(2025) Oliva, Cristian; Cepeda, Manuel; Muñoz, Sebastián
This study addresses a real-world logistics problem in forestry operations: the distribution of plants from cultivation centers to planting sites under strict delivery time windows and limited depot resources. We introduce the Coordinated Truck Loading and Routing Problem (CTLRP), an extension of the classical Vehicle Routing Problem with Time Windows (VRPTW) that integrates routing decisions with truck loading schedules at a single depot with constrained capacity. To solve this NP-hard problem, we develop a metaheuristic algorithm based on Ant Colony Optimization (ACO), enhanced with a global memory system and a novel stochastic return rule that allows trucks to return to the depot when additional deliveries are suboptimal. Parameter calibration experiments are conducted to determine optimal values for the return probability and ant population size. The algorithm is tested on a real forestry dispatch scenario over six working days. The results show that an Ant Colony System (ACS–CTLRP) algorithm reduces total distance traveled by 23%, travel time by 22%, and the number of trucks used by 13 units, while increasing fleet utilization from 54% to 83%. These findings demonstrate that the proposed method significantly outperforms current company planning and offers a transferable framework for depot-constrained routing problems in time-sensitive distribution environments.
Microbial and Geochemical Diversity of Laguna Timone, an Extreme Hypersaline Crater Lake in Patagonia (52° S)
(2025) Henríquez, Carolina; Pérez-Donoso, José M.; Bruna, Nicolás; Calderón, Mauricio; Fadel Cury, Leonardo; Quezada, Paulo; Athayde, Gustavo; Oyarzún, Poldie; Bahniuk, Anelize
Extreme environments, such as hypersaline habitats, hot springs, deep-sea hydrothermal vents, glaciers, and permafrost, provide diverse ecological niches for studying microbial evolution. However, knowledge of microbial communities in extreme environments at high southern latitudes remains limited, aside from Antarctica. Laguna Timone is a hypersaline crater lake located in a Pleistocene maar of the Pali Aike Volcanic Field, southern Patagonia;
the lake was formed during basaltic eruptions in a periglacial setting. Here, we report the first integrative characterization of microbial communities from biofilms and microbial mats in this lake using high-throughput 16S rRNA and ITS gene sequencing, along with mineralogical and hydrochemical analyses of water, sediments, and carbonates. Bacterial communities were dominated by the genera Enterobacterales ASV1, Pseudomonas, Oscillatoria, Nodularia, and Belliella, with site-specific assemblages. Fungal communities included Laetinaevia, Ilyonectria, Thelebolus, Plectosphaerella, and Acrostalagmus, each showing distinct distribution patterns. These baseline data contribute to understanding microbial dynamics in hypersaline maar environments and support future investigations. This integrative approach highlights key microbe–mineral relationships and underscores the potential of Laguna Timone as a natural laboratory for exploring biosignature formation and microbial adaptation in chemically extreme environments, both on early Earth and potentially beyond.
Environmental Stressors Modulating Seasonal and Daily Carbon Dioxide Assimilation and Productivity in Lessonia spicata
(2025) Troncoso, Macarena; Fleming, Zoë L.; Figueroa, Félix L.; Korbee, Nathalie; Durán, Ronald; Navarrete, Camilo; Rivera, Cecilia; Celis-Plá, Paula S. M.
Carbon dioxide (CO2) emissions due to human activities are responsible for approximately 80% of the drivers of global warming, resulting in a 1.1 °C increase above pre-industrial temperatures. This study quantified the CO2 assimilation and productivity of the brown macroalgae Lessonia spicata in the central Pacific coast of Chile, across seasonal and daily cycles, under different environmental stressors, such as temperature and solar irradiance. Measurements were performed using an infra-red gas analysis (IRGA) instrument which had a chamber allowing for precise quantification of CO2 concentrations; additional photophysiological and biochemical responses were also measured. CO2 assimilation, along with the productivity and biosynthesis of proteins and lipids, increased during the spring, coinciding with moderate temperatures (~14 °C) and high photosynthetically active radiation (PAR). Furthermore, the increased production of photoprotective and antioxidant compounds, including phenolic compounds, and carotenoids, along with the enhancement of non-photochemical quenching (NPQ), contribute to the effective photoacclimation strategies of L. spicata. Principal component analysis (PCA) revealed seasonal associations between productivity, reactive oxygen species (ROSs), and biochemical indicators, particularly during the spring and summer. These associations, further supported by Pearson correlation analyses, suggest a high but seasonally constrained photoacclimation capacity. In contrast, the reduced productivity and photoprotection observed in the summer suggest increased physiological vulnerability to heat and light stress. Overall, our findings position L. spicata as a promising nature-based solution for climate change mitigation.
Reviews and syntheses: Current perspectives on biosphere research 2024–2025 – eight findings from ecology, sociology, and economics
(2025) Bohn, Friedrich J.; Bastos, Ana; Martin, Romina; Rammig, Anja; Koh, Niak Sian; Sioen, Giles B.; Buscher, Bram; Carver, Louise; DeClerck, Fabrice; Drupp, Moritz; Fletcher, Robert; Forrest, Matthew; Gasparatos, Alexandros; Godoy Faúndez, Alex; Hagedorn, Gregor; Hänsel, Martin C.; Hetzer, Jessica; Hickler, Thomas; Krug, Cornelia B.; Koot, Stasja; Xiuzhen Li, Xiuzhen; Luers, Amy; Matevich, Shelby; Matthews, H. Damon; Meier, Ina C.; Migliavacca, Mirco; Mohamed, Awaz; Sungmin O; Obura, David; Orlove, Ben; Orth, Rene; Pereira, Laura; Reichstein, Markus; Thakholi, Lerato; Verburg, Peter H.; Yoshida, Yuki
This review of recent advances in biosphere research aims to provide information on eight selected themes related to changes in biodiversity, ecosystem functioning, social and economic interactions with ecosystems, and the impacts of climate change on the biosphere. An interdisciplinary panel of experts selected these eight themes from a public survey based on relevance and scientific evidence that have the potential to guide future actions as well as inspire future research questions. Our focus is on the interactions between climate, biosphere, and society and on strategies to sustain, restore, or promote ecosystems and their services. The themes focus on innovative opportunities for coastal habitats, forest linkages to droughts, and increasing fire risks. We further discuss nature-based carbon dioxide removal (CDR) implementation risks and the share of (semi-)natural habitats in the landscape. Finally, we highlight the importance of comprehensive international policy packages and the social–economic value of ecosystems in the future and present the idea of convivial conservation. Based on an analysis of these eight topics, we have synthesized four overarching insights: (i) improve mechanisms of inclusive decision-making, (ii) establish and strengthen incentives for sustainable practices, (iii) measure and share regional features, and finally (iv) adopt long-lasting holistic landscape management strategies. This review emphasizes that the interlinked challenges for ecosystems, including the socio-economic dimensions, require interdisciplinary and integrative approaches to develop effective and sustainable solutions.
Current Status, Trends, and Future Directions in Chilean Air Quality: A Data-Driven Perspective
(2025) Basoa, Kevin; Fleming, Zoё; Leiva, Manuel A.; Concha, Carolina; Menares, Camilo
Air pollution is one of the main problems facing humanity today. Megacities and large urban areas are pollution hotspots. Measuring pollutants and recording these measurements is key to developing effective strategies to reduce the pollution levels to which people are exposed. However, air quality monitoring presents significant challenges (e.g., investment costs, maintenance), which can lead to limited monitoring equipment. Despite this, Chile has an extensive air quality monitoring network, known as the National Air Quality Information System (SINCA in Spanish). This network has more than 200 monitoring stations that measure, record, and display information on pollution levels in different locations in Chile. In this study, all the information available from the SINCA network was systematized to evaluate the completeness of the records and the current trends of several pollutants in Chile. The main results show that most measurements focus on particulate matter and sulfur dioxide concentrations, and many of the measurement stations are located in the central part of the country (32° S–38° S). However, by splitting the data into five macrozones, one can see the regional air quality characteristics and changes. Furthermore, there are significant data gaps at some monitoring stations, which makes it difficult to elaborate a robust analysis. Regarding pollution levels, a significant decrease is observed for the peak Particulate Matter (PM2.5) concentrations, with decreases of nearly 40% compared to concentrations at the beginning of the 2000s. This is consistent with the concentration trends, which show negative trends in most cases.
Applying the Analytic Hierarchy Process (AHP) to Accessible Housing: A Multi-Disability Perspective
(2025) Valderrama-Ulloa, Claudia; Ferrada, Ximena; Herrera, Felipe
Accessible housing plays a vital role in promoting independent living and quality of life for people with disabilities. However, the existing design standards often fail to address the specific needs of diverse disability groups. This study aims to establish architectural and habitability criteria for housing adapted to various disabilities, including wheelchair users, individuals with achondroplasia (little people), Autism Spectrum Disorder (ASD) and Down syndrome, individuals with visual and hearing impairments, and older adults, by integrating international frameworks and prior research. The Analytic Hierarchy Process (AHP) was used to prioritize key factors in the housing design. The factors analyzed included autonomy, independence, safety, comfort, communication, and mobility. Findings reveal that autonomy consistently emerged as the most relevant criterion across groups, particularly for older adults (61.8%), wheelchair users (83%) and little people (64%). Secondary priorities varied: mobility was emphasized by wheelchair users (77%), communication by visually impaired individuals (64%), and comfort by deaf and hard of hearing participants (43%). The results underscore the need for housing solutions that reflect the priorities of each disability group. This study contributes by validating user-centered design criteria and offering a framework to guide inclusive housing policies and practices. By highlighting needs, it bridges the gap between generic accessibility standards and design. These findings support policy development and enrich the literature by incorporating unique resident-centered perspectives and overlooked indicators of housing accessibility and inclusive residential design.
Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models
(2025) Basso, Franco; Rotours, Felix des; Maldonado, Tomás; Pezoa, Raúl; Varas, Mauricio
This paper proposes an innovative methodology for detecting heavy trucks utilizing mobile phone data, addressing significant limitations inherent in traditional tracking methods, often characterized by high costs, intrusiveness, and incomplete data capture. By employing Call Detail Records (CDR) and introducing an image-inspired architecture, the study uses Convolutional Neural Networks (CNN) to model the microscopic behavioral patterns of mobile devices. Our numerical results show that our proposed approach outperforms more classical machine learning methods that rely only on aggregated features. This novel approach offers a scalable and cost-effective alternative to conventional methods, representing a pioneering application of image-based analytical techniques to mobile phone data within freight transport research. This work provides a robust tool for analyzing freight transport patterns, thereby supporting the development of strategies to mitigate the negative externalities of freight transportation while preserving its economic benefits.
Refinement of Jensen-type inequalities: fractional extensions (global and local)
(2025) Bosch, Paul; Paz Moyado, Jorge A.; Rodríguez-García, José M.; Sigarreta, José María
In this paper, our main objective was to establish new refinements of Jensen’s inequality. We focused on the class of convex and harmonic convex functions. In addition, we extended these results to the generalized Caputo-type fractional integral and the generalized local fractional derivative.
The orbicular granodiorite of Recoba Hill in the North Patagonian Batholith
(2025) Soto, Aníbal; Hervé, Francisco; Calderón, Mauricio; Gregorina, Gianfranco
A small body of orbicular granodiorite crops out on the Recoba Hill, immediately east of the town of Chaitén, in the mainland area called Chiloé continental, in southern Chile. The rock comprises cm-sized igneous cores with a single shell of fine-grained plagioclase-quartz-K-feldspar assemblages. It is hosted in a Miocene granodiorite, and it is crosscut by aplite and mafic dikes. No other mention of orbicular rocks has to date been reported for the >1,000 km long North Patagonian Batholith, suggesting that the conditions necessary for their formation were infrequent. Thermobarometric determinations indicate pressures lower than 2 kbar (less than 6 km depth) for its formation, a level much shallower than the estimated source depth of the older rocks of the batholith.
Total Outer-Independent Domination Number: Bounds and Algorithms
(2025) Bosch, Paul; Parra Inza, Ernesto; Rios Villamar, Ismael; Sánchez-Santiesteban, José Luis
In graph theory, the study of domination sets has garnered significant interest due to its applications in network design and analysis. Consider a graph G(V, E); a subset of its vertices is a total dominating set (TDS) if, for each x ∈ V(G), there exists an edge in E(G) connecting x to at least one vertex within this subset. If the subgraph induced by the vertices outside the TDS has no edges, the set is called a total outer-independent dominating set (TOIDS). The total outer-independent domination number, denoted as γoit (G), represents the smallest cardinality of such a set. Deciding if a given graph has a TOIDS with at most r vertices is an NP-complete problem. This study introduces new lowerand upper bounds for γoit (G) and presents an exact solution approach using integer linear programming (ILP). Additionally, we develop a heuristic and a procedure to efficiently obtain minimal TOIDS.
A Systematic Literature Review on the Use of Clays for Arsenic Removal
(2025) Reyes-Bozo, Lorenzo; Vyhmeister, Eduardo; Castane, Gabriel G.; Chirinos, Juan; Zárraga, Jeannette; Sandoval-Yáñez, Claudia; Valdés-González, Héctor
Arsenic contamination in water remains a critical global challenge, particularly in rural and resource-limited regions. Clays have been widely studied as cost-effective and efficient adsorbents for arsenic removal. This systematic review provides a comprehensive analysis of the application of clays in arsenic adsorption, focusing on clay types, operational units, and study methodologies. The review classifies the adsorption mechanisms, highlights key factors influencing adsorption performance—such as pH, ionic strength, and surface modifications—and examines the effectiveness of various modifications. Furthermore, the study categorizes adsorption research into kinetic, iso-thermal, thermodynamic, and efficiency studies, providing insights into the state of the art and the experimental conditions that govern arsenic removal. It also discusses the scalability and practical application of clay-based adsorption technologies, emphasizing gaps in field validation, regeneration studies, and large-scale implementation. The findings highlight the potential of natural and modified clays in arsenic remediation, while underscoring the need for further research to optimize adsorption conditions and enhance sustainability in water treatment systems.
High earnings through firm influence: the role of hierarchical structures in public procurement
(2025) Niclas Frederic Sturm,; Candia, Cristián; Damásio, Bruno; Pinheiro, Flavio L.
Public procurement, a critical but often overlooked aspect of governance, plays a pivotal role in steering the acquisition of goods, services and the commissioning of public works. Our study, analyzing over one million public procurement contracts from the Portuguese public administration, applies network science to unravel the complexities of this market. We uncover a market characterized by highly modular and hierarchical networks, with notable service specialization, regional diversity, and entity diversification. Our findings reveal a clear pattern: firms occupying influential positions within the networks consistently achieve higher earnings per bid. This disparity in earnings indicates a market where competition is constrained and entry barriers for new firms are high. Similarly, markets in the Portuguese public procurement system exhibit high levels of concentration, which raises both integrity and supplier risks that should be monitored by policymakers. The empirical framework developed in this article contributes to a growing body of literature that analyzes the levels of competition in public procurement systems. The network-based method applied here facilitates the analysis of firms’ positioning within their network of competitors and helps to quantify firm capabilities in a way that moves beyond a monolithic view of firm size and market power.
Large scale summarization using ensemble prompts and in context learning approaches
(2025) Leiva-Araos, Andrés; Gana, Bady; Allende-Cid, Héctor; García, José; Jyoti Saikia, Manob
The field of Information Assurance (IA) and Cybersecurity has seen substantial evolution, driven by advancements in technology and the increasing sophistication of threats in the digital age.
This study employs Large Language Models (LLMs), as well as other advanced NLP techniques, to conduct a comprehensive analysis of literature from 1967 to 2024. By analyzing a corpus of more than 62,000 documents extracted from Scopus, our approach involves a comprehensive methodology that includes two main phases: topic detection using BERTopic and automatic summarization with LLMs across various periods (annual and decades). By designing targeted queries to extract relevant papers, analyzing textual data, and applying advanced prompting techniques for summarization, we integrate computational models to handle large volumes of data. Our results demonstrate that an ensemble of methods (Ev2) outperforms traditional summarization and density-based approaches, with improvements ranging from 16.7% to 29.6% in keyword definition tasks. It generates summaries that outperform in 5 out of the 7 tested metrics while maintaining the logical integrity of bibliographic references. Our results illuminate the shifts in focus within Information Assurance across decades, revealing key breakthroughs and forecasting emerging areas of significance.
A framework for advancing independent air quality sensor measurements via transparent data generating process classification
(2026) Diez, Sebastian; Bannan, Thomas; Chacón, Miriam; Edwards, Pete; Ferracci, Valerio; Kılıç, Doğuşhan; Lewis, Alastair; Malings, Carl; Martin, Nicholas; Popoola, Olalekan; Rosales, Colleen; Schmitz, Sean; Schneider, Philipp; Von Schneidemesser, Erika
We propose operational definitions and a classification framework for air quality sensor-derived data, thereby aiding users in interpreting and selecting suitable data products for their applications. We focus on differentiating independent sensor measurements (ISM) from other data products, emphasizing transparency and traceability. Recommendations are provided for manufacturers, academia,andstandardizationbodiestoadoptthesedefinitions,fosteringdataproductdifferentiation and incentivizing the development of more robust, reliable sensor hardware
Open Air Quality Data Platforms for Environmental Health Research and Action
(2025) Marciel, Colleen; Bratburd, Jennifer; Diez, Sebastian; Duncan, Sara; Malings, Carl; Pant, Pallavi
PURPOSE OF REVIEW: Air pollution remains the greatest environmental threat to public health, and significantly impacts many aspects of human life. This review surveys digital platforms that provide data openly and make air quality data available for use and analysis by environmental health researchers for scientific research and to inform air quality action. RECENT FINDINGS: Successful programs that rely on different types of open air quality data have been observed and exist as models for regions that have yet to improve their air quality. However, disparities remain in the availability and granularity of generated air quality data in resource-rich and resource-poor regions. Even if air quality data are made available and open, their usability and actionability still remain challenging. Determinants of usability may include the user’s technical know-how and ability to deal with disparate data; compute capabilities; barriers in data sharing and data generation; and misuse and misclassification of data and levels and sources of exposure. However, the synthesis of different sources of data and advancements in modeling may help fill in spatiotemporal gaps in many areas of the world. In addition, the democratization of air quality data is facilitated by advancements in air quality data generation (e.g., data collection by open-source air sensors) and the ability to contribute to global, open-access, publicly available repositories that openly share data. Many open data platforms exist for sharing and accessing ground-based/in-situ data, satellite remote sensing data, and modeled or otherwise derived outputs. Online platforms that allow visualization and analysis without the need to download software are also now widely available. Despite wide availability, disparities in accessibility exist—expansion and support through interdisciplinary collaboration and continuous funding support for air quality data is essential for the continuous global benefit and community-specific action to address air quality as an environmental health issue.
Módulos itinerantes para la remediación de cuerpos de agua
(Universidad del Desarrollo. Facultad de Arquitectura y Arte, 2026) Avendaño Castillo, María Paz; Nazar Navarrete, Andrea
La génesis de esta investigación radica en la búsqueda de nuevos enfoques para la conservación y puesta en valor de áreas naturales. Esto se debe a que la contaminación ambiental es un fenómeno impulsado por la inconsciencia de actividades humanas.
Tomando como tema de investigación: Arquitectura como máquina de recuperación ambiental a causa de que, en Chile, hay problemáticas en aumento cuya evaluación no ha considerado las medidas necesarias para su resolución. Comunidades, agrupaciones y autoridades locales han tomado medidas legales para visibilizar el perjuicio al ecosistema, en concreto el foco está en los lagos y lagunas afectados por eutrofización, un fenómeno que deriva de la agricultura, industria y turismo con repercusiones en la salud de las personas, la biodiversidad y en la población de organismos vivos de un cuerpo de agua.
Como respuesta arquitectónica se toma el caso de: Módulos Itinerantes para la remediación de cuerpos de agua. Es un sistema basado en una estructura desplegable que la fitorremediación para actuar sobre cuerpos de agua. Para iniciar este proyecto se escogió el lago Villarrica, el lago más contaminado en Chile, para iniciar con un sistema de alcance nacional gradual. Estos sistemas aparte de ser itinerantes serán de carácter modular y adaptable, se trasladarán por distintos lagos y lagunas, potenciando desde la mención de innovación y emprendimiento un concepto clave: ser un proyecto que busca adaptarse y evolucionar según corresponda a su territorio y a sus usuarios. Impulsando de esta manera la recuperación de cuerpos de agua gracias a la itinerancia del sistema arquitectónico.