3. Producción

Browse

Search Results

Now showing 1 - 10 of 17

Some of the metrics are blocked by your
consent settings
LCA Foods 2022. 113th lnternational Conference on Life Cycle Assessment of Food
(Pontificia Universidad Católica del Perú. Instituto de Ciencias de la Naturaleza, Territorio y Energías Renovables (INTE-PUCP), 2022)
The 13th International Conference on LCA of Food, which was held on October 11-14 2022, took place for the first time in the Latin America-Caribbean region, in Lima, Peru. The theme of the conference were the topics aligned to: The Role of Emerging Economies in Global Food Security. LCA Food 2022 venue's welcomed more than 250 participants through a hybrid modality, presenting 6 outstanding keynote speakers, and accepting peer-reviewed submissions in both oral and poster modality as part of 28 parallel sessions. The organizing committee was led by the research group PELCAN (Peruvian LCA and Industrial Ecology Network), part of the Department of Engineering at Pontificia Universidad Católica del Perú and assisted by the INTE - PUCP. In the following link, you can find a revisit of the conference experience on our PELCAN's youtube channel.
Some of the metrics are blocked by your
consent settings
Environmental management, cleaner production and organizational performance: a structural approach
(Widener University School of Civil Engineering, 2021-11-01)
Organizations can redirect their business models to solve the problem of materials depletion using environmental management and cleaner production as practices of the circular economy. This study aims to measure the relationship between environmental management, cleaner production, and organizational performance. Within this context, a survey of 372 companies was performed in the agro-industrial, manufacturing and construction sectors in three important productive regions of Colombia. Structural Equation Modeling was used for data analysis. The economic sector moderated the relationship between the latent variables. This phenomenon was analyzed using a multi-group technique. The results show that Cleaner production is positively related to Organizational Performance at corporations. The results show that Cleaner production is positively related to Organizational Performance at corporations. It was also observed that Environmental Management influences Cleaner Production. Finally, it is worth noting that productive sectors in Colombia tend to be committed to circular economy practices, some to environmental management and others to cleaner production with an impact on organizational performance. The result of the study may be useful for domestic and foreign investors and managers, for analysts and researchers, and for educators. The rationale behind this is an understanding that interactions between environmental management and cleaner production and organizational performance will influence the academic community or business activity to generate behaviors favoring the environment and sustainable development. These findings will be extremely useful for promoting future research studies on establishing an improved framework for the promotion of environmental management and cleaner production practices primarily among Colombian productive companies. This work can also serve as a reference for other industrial sectors and countries.
Some of the metrics are blocked by your
consent settings
Wastewater treatment decentralization: is this the right direction for megacities in the Global South?
(Elsevier, 2021-07-15)
The centralization-decentralization dichotomy in wastewater treatment management has been a recurrent topic of discussion in the urban context. The escalation of environmental hazards linked to increasing mismanaged wastewater flows in emerging or developing cities has vivified this conundrum. It is argued that there is a wide range of parameters to identify the optimal level of centralization-decentralization that must be implemented. In many cases, this prevents decision-makers from having a clear picture of the most appropriate management choices that must be undertaken. Hence, the main objective of the current discussion consists of an in-depth comparison between centralized wastewater treatment systems and decentralized systems with source separation in urban environments of the Global South. Moreover, a set of actions that should be considered in order to upgrade wastewater treatment systems amidst the existence of numerous economic, social and environmental constraints are analyzed. Considering the constraints of megacentralization as a preferred option, we argue that decision-makers should restrain from entering a centralization-decentralization dichotomy, seeing the process as a gradient between the two concepts. In fact, we advocate combining the benefits of each of the two perspectives to generate an adaptive management, site-specific solution for urban environments. For this, the inclusion of quantitative management tools, such as life-cycle environmental or cost management methodologies, in multi-objective optimization models, constitutes an interesting path forward towards fostering comprehensive policy support.
Some of the metrics are blocked by your
consent settings
Low energy and carbon hydroponic tomato cultivation in Northern Spain: Nutritional and environmental assessment
(American Chemical Society, 2024-01-15)
The agri-food sector is one of the most impactful on the environment in terms of greenhouse gas emissions and is one of the largest consumers of energy and natural resources. In this context, the objective of this study was to evaluate the environmental impacts of hydroponic tomatoes cultivated in northern Spain using a waste product as biomass to heat the greenhouses and solar energy for powering the irrigation system to identify their main environmental hotspots and improvement measures. For this purpose, life cycle assessment (LCA) has been used. The functional units (FUs) chosen were 1 kg of tomatoes and an alternate FU based on nutrition, e.g., NRF9.3. The influence of including biogenic CO2 emissions has been considered using a “-1/+1″ approach to assess the uptake and release of biogenic carbon throughout the whole life cycle. The main results showed that greenhouse gas emissions varied between 1.4 kg CO2 equiv and 2.5 kg CO2 equiv considering biogenic carbon, whereas the total energy demand of the production of hydroponic tomatoes was 9.7 MJ. Fertilization and the greenhouse structure were identified as the main contributors to environmental burdens; hence, improvement opportunities were focused on these critical points.
Some of the metrics are blocked by your
consent settings
The use of artificial intelligence algorithms to detect macroplastics in aquatic environments: A critical review
(Elsevier B.V., 2024-10-01)
The presence of macroplastic (MP) is having serious consequences on natural ecosystems, directly affecting biota and human wellbeing. Given this scenario, estimating MPs' abundance is crucial for assessing the issue and formulating effective waste management strategies. In this context, the main objective of this critical review is to analyze the use of machine learning (ML) techniques, with a particular interest in deep learning (DL) approaches, to detect, classify and quantify MPs in aquatic environments, supported by datasets such as satellite or aerial images and video recordings taken by unmanned aerial vehicles. This article provides a concise overview of artificial intelligence concepts, followed by a bibliometric analysis and a critical review. The search methodology aimed to categorize the scientific contributions through temporal and spatial criteria for bibliometric analysis, whereas the critical review was based on generating homogeneous groups according to the complexity of ML and DL methods, as well as the type of dataset. In light of the review carried out, classical ML techniques, such as random forest or support vector machines, showed robustness in MPs detection. However, it seems that achieving optimal efficiencies in multiclass classification is a limitation for these methods. Consequently, more advanced techniques such as DL approaches are taking the lead for the detection and multiclass classification of MPs. A series of architectures based on convolutional neural networks, and the use of complex pre-trained models through the transfer learning, are currently being explored (e.g., VGG16 and YOLO models), although currently the computational expense is high due to the need for processing large volumes of data. Additionally, there seems to be a trend towards detecting smaller plastic, which need higher resolution images. Finally, it is important to stress that since 2020 there has been a significant increase in scientific research focusing on transformer-based architectures for object detection. Although this can be considered the current state of the art, no studies have been identified that utilize these architectures for MP detection.
Some of the metrics are blocked by your
consent settings
Characterizing plastic disorder in consumption systems: A statistical entropy analysis to target circular economy interventions
(Elsevier Inc., 2026-09-01)
Addressing plastic pollution requires understanding of the drivers shaping material flows and waste generation. This study applies Statistical Entropy Analysis to evaluate its potential as a circular economy metric to quantify disorder within plastic systems and identify its drivers. Santa Cruz Island in the Galápagos Archipelago, was used as a bounded system to empirically test Statistical Entropy Analysis within a real-world plastic consumption system. A mixed methods approach combined maritime imports data, shop audits, litter transects, recycling characterization and human movement tracking. Statistical analyses were used to examine the relationships between system characteristic and plastic systems, followed by Statistical Entropy Analysis to assess system disorder. Results showed that packaging, particularly multi-material, is a major contributor to low circularity and increased system disorder. Litter distribution was more strongly associated with area characteristics rather than with human movement, with higher accumulation in commercial and recreational areas, while the presence of bike paths was linked to reduced littering. Statistical Entropy values were highest in leaked plastic systems, especially in urban areas, and lowest in recycling streams due to material separation. Supermarkets’ products exhibited higher statistical entropy due to packaging complexity. System disorder is shaped by spatial context, retail format, product design and consumption preferences, highlighting the need for targeted upstream and downstream interventions. Compared with conventional circular economy metrics focused on resource efficiency, statistical entropy analysis captures material dispersion and mixing, providing a complementary and comparable indicator of circularity across contexts. This study supports the design of policies and business strategies for circularity.
Some of the metrics are blocked by your
consent settings
Action Versus Reaction: How Geometallurgy Can Improve Mine Waste Management Across the Life of Mine
(Mineralogical Society of America, 2023-12-01)
The raw materials industry produces billions of tonnes of mine waste per year. Given increasing metal demand and the global appetite for waste reduction, strategic opportunities to minimise its production must be embedded across the life-of-mine. Adopting a geometallurgical approach to total deposit characterisation—where mineralogical and geochemical data are routinely collected and used to model geoenvironmental domains—offers profound benefits for improving the understanding of the composition and environmental impact of different residues. Using established and emerging technologies, from handheld instruments and core scanners to synchrotrons, throughout a mine’s life—starting already during exploration—may assist the raw materials industry to reduce their waste footprint and adopt circular economy principles.
Some of the metrics are blocked by your
consent settings
A Multi-Criteria Decision Framework for Circular Wastewater Systems in Emerging Megacities of the Global South
(Elsevier BV, 2023-12-05)
Lima faces increasing water stress due to demographic growth, climate change and outdated water management infrastructure. Moreover, its highly centralized wastewater management system is currently unable to recover water or other resources. Hence, the p...
Some of the metrics are blocked by your
consent settings
Uncovering hidden and cumulative impacts of construction life cycle processes on planetary boundaries through Forgotten Effects Theory
(Elsevier BV, 2026-09-01)
This study applies the Forgotten Effects Theory (FET), a fuzzy-logic-based modelling framework, to analyse how construction life cycle processes generate direct and indirect pressures on multiple planetary boundaries. The approach captures multistage and nonlinear causal relationships derived from expert-based incidence matrices. Results show that mineral extraction, material distribution, and waste disposal strongly influence ocean acidification; construction operations and building use affect biosphere integrity; material production drives land-use change; and demolition contributes to climate change. The analysis revealed substantial hidden effects: the influence of mineral extraction on ocean acidification increased from 0.4 to 0.9 when material production was included as a mediator; the relationship between building use and biosphere integrity increased from 0 to 0.8 through indirect pathways; and the influence of demolition on climate change increased from 0 to 0.8 through waste-disposal mediation. A ±10% sensitivity analysis confirmed the stability of the main incidence hierarchy, with changes below 0.05 for the most relevant coefficients. These findings demonstrate that indirect (“forgotten”) effects can be as influential as direct impacts, significantly intensifying pressures across planetary boundaries. The construction sector is therefore characterised as a cumulative and interconnected system in which impacts propagate and reinforce each other across life cycle stages. These results highlight the limitations of silo-based environmental assessments and underscore the need for integrated, life cycle-oriented sustainability strategies. Policies prioritising upstream interventions, material efficiency and reduced demolition can generate broader systemic benefits. The study demonstrates the potential of FET as a transparent and reproducible modelling approach for linking local construction decisions with global environmental processes, supporting more integrated circular economy strategies and contributing to the achievement of Sustainable Development Goals 11, 12 and 13.
Some of the metrics are blocked by your
consent settings
Sustainable circular strategies and short supply chains among smallholder producers: the case of Peru's Agroferias Campesinas
(Springer Nature, 2025-12-01)
Peasant agri-food systems in Latin America face structural challenges including market exclusion, ecological degradation, and institutional fragmentation. This article examines how smallholders engaged in Peru's Agroferias Campesinas mobilize sustainable circular strategies through locally governed short supply chains. Based on qualitative fieldwork, the study analyzes practices of ecological regeneration, waste valorization, value addition, and direct marketing embedded in territorial cooperation. Findings show that sustainability in these systems is not a fixed technical condition, but an emergent socio-territorial property shaped by ancestral knowledge, intergenerational ties, and adaptive innovation. Producers implement strategies such as artisanal processing, brand development, strategic storage, and localized market access to improve income stability and reduce vulnerability. Agroferias function as multifunctional platforms—economic, ecological, and pedagogical—enabling price autonomy, consumer education, and inclusive governance. This case contributes to the field of agricultural and food economics by showing how territorially embedded short supply chains can operate as grassroots governance mechanisms that enhance coordination, resilience, and equitable value distribution. The results highlight the importance of differentiated rural development policies that expand access to tailored financing, reduce formalization barriers, and invest in appropriate technologies for smallholder contexts. This research underscores the need to recognize and strengthen community-based food infrastructures. It offers relevant insights for scholars and policymakers seeking to understand how circular strategies and market governance intersect in the pursuit of resilient, community-led agri-food systems.
4

3. Producción

Browse

Filters

Settings

Sort By

Results per page

Search Results