3. Producción

Browse

Search Results

Now showing 1 - 10 of 12

Some of the metrics are blocked by your
consent settings
District-level analysis for household-related energy consumption and greenhouse gas emissions: a case study in Lima, Peru
(Elsevier, 2021-11-25)
Given the significant contribution of households in terms of energy use and greenhouse gas (GHG) emissions, in addition to the increasing rate of urbanization and growth in developing countries, urban dwellings need to be analyzed in greater depth in order to implement sound policy-making based on informed decisions. Thus, the aim of this study is to quantify the household-related energy use and associated GHG emissions in the city of Lima, Peru, between 2007 and 2015. In order to understand the emission patterns within the city, a further analysis on smaller spatial scales (i.e., districts) has been performed using multiple regression analyses. Results show that household-related energy consumption and emissions, excluding those related to private vehicles, ranged from 2.92 to 3.22 GJ/cap/year and 187 to 249 kg CO2eq/cap/year, respectively. Overall, there is a transition in the use of energy and emissions, sustained by an increase in population and a change in the economic status of part of the population. Moreover, liquefied petroleum gas, rather than electricity, was found to be the main energy source in lower-income households. This study aims to help integrate household energy behavior with strategies for sustainable cities and provide a starting point to connect with climate policies.
Some of the metrics are blocked by your
consent settings
Developing a methodology to quantify mismanaged plastic waste entering the ocean in coastal countries
(John Wiley and Sons Inc, 2022-12-01)
Marine plastic accumulation has gained international attention in recent years. Sources, pathways, and environmental impacts are being currently studied to understand the complex interactions during waste, especially plastic, transportation to the sea. Rivers have been identified as debris corridors allowing transportation of mismanaged waste. However, there is also evidence of waste accumulation in river basins, suggesting they can also act as sinks. Thus, assuming a uniform and continuous transportation of waste through rivers towards the ocean may signify an oversimplification. This study proposes a methodology to estimate plastic release to the ocean, considering a more detailed characterization of each river basin, including natural attributes and manmade constructions that may act as barriers or boosters for this release. The methodology is exemplified using a case study for the Region of Piura, Peru, and estimating a range of 4.2 to 13.9 kg/person/year of plastic waste reaching the Pacific coast during 2018. These results, when compared with the existing literature, demonstrate more conservative estimations. This methodology is presented as a useful tool that can be easily applied to develop more accurate mismanaged waste dissipation along different compartments. Supplementary Information: The online version of this article (doi:10.1111/jiec.13349) contains supplementary material, which is available to authorized users.
Some of the metrics are blocked by your
consent settings
Unveiling the energy consumption–food waste nexus in households: A focus on key predictors of food waste generation
(Springer, 2024-07-01)
In most cities worldwide, household food waste constitutes a significant portion of municipal solid waste (MSW). However, its management often proves inadequate due to the insufficient resources allocated to waste management systems, the omission of the resource potential in MSW, and the lack of recognition of household food waste drivers for forecasting generation in specific geographical contexts. This research aims to identify social, economic, and environmental variables serving as proxies to forecast household food waste generation. To achieve this, a multiple linear regression model was proposed to assess the relationship between cooking fuel type (i.e., liquefied petroleum gas, natural gas, and electricity), land use categories (i.e., commercial, industrial, and residential), population density, expenditure on in-house food consumption, and household food waste generation. Three alternate modeling scenarios were considered based on available data, with Lima, Peru, serving as a case study. The results indicate that the combined consumption of liquefied petroleum gas and natural gas, and electricity consumption, along with residential land use, were the most influential variables. Finally, for a comprehensive understanding of the studied phenomenon, it is crucial to analyze and consider the intricate dynamics of societal consumption patterns. Graphical (Figure presented.).
Some of the metrics are blocked by your
consent settings
Identifying environmental impacts linked to the production of plant-based spreads in Peru using life cycle assessment
(Elsevier B.V., 2024-06-01)
Plant-based spread products, such as margarine, are made up of a combination of diverse ingredients, many times arriving from different parts of the world. This makes their environmental impact challenging to compute. In Latin America, despite efforts in recent years to enlarge the number of food items that have been analyzed from an environmental perspective, many processed products remain unexplored. In this context, the main objective of the current study was to determine the environmental impacts of a set of five plant-based spread products in Peru using life cycle assessment. For this, primary data were collected from the main margarine producer up to the gate of the agroindustrial plant ready for distribution. Methodological choices, such as allocation, the computation of land use changes (LUCs) or agricultural management variability, were an important subset of variables to be considered in the life cycle modeling and accounted for through scenario and sensitivity analyses. Results demonstrated that greenhouse gas (GHG) emissions related to margarine production in Peru range from 1.66 to 6.00 kg CO2eq per kilogram of product, in a similar range to other studies in the literature. LUCs accounted for the highest contribution to GHG emissions, whereas crude oil extraction, as well as on field fertilizer emissions were the other main contributors. In other impact categories, plant protection agents were relevant in toxicity indicators, fertilization in eutrophication and transport in air quality-related categories. These results constitute a benchmark for the production of plant-based products in Latin America and are useful for attaining cleaner production, as well as for the optimization of ingredients and packaging design.
Some of the metrics are blocked by your
consent settings
Understanding the evolution of cities through urban stocks: A comparative analysis of Andean and coastal urban areas in Peru
(John Wiley and Sons Inc, 2024-08-01)
The evolution of cities follows distinct patterns that connect to the cultural and socioeconomic aspects of their populations and can be understood by studying their urban stocks. This paper examines the evolution of construction materials stocks (MS) in the building sector in five urban areas in Peru. The study employed a bottom-up methodology and focused on the city of Abancay in the Peruvian Andes, comparing it to the coastal cities of Chiclayo, Tacna, and San Isidro, as well as Lince. Additionally, regression models were employed to examine the influence of socioeconomic factors associated with urban stock. The research highlights a transition from residential building stock to distinct patterns of socioeconomic development, with urban population and economic growth emerging as pivotal drivers of material stock variation. Notably, large coastal cities like Chiclayo, Tacna, San Isidro, and Lince exhibit significantly higher concrete MS per capita, albeit with varying growth rates. In contrast, Abancay, with lower income levels, displays a higher per capita level of adobe MS, reflecting its historical connection to Peru's heartland. The correlation of urban stock components with the human development index (HDI) emphasizes the latter's significance in understanding the trends of the stocks of the different construction materials that constitute a city. By examining MS in various locations, unique Peruvian traits are unveiled, offering insights for urban development in the Global South. These findings provide valuable guidance for aligning urban stock growth and related environmental burdens with socioeconomic development, fostering sustainability, and promoting rational planning for economic growth.
3
Some of the metrics are blocked by your
consent settings
Are Peruvians moving toward healthier diets with lower environmental burden? Household consumption trends for the period 2008–2021
(John Wiley and Sons Inc, 2024-10-01)
Peru is one of the most diverse countries in the world in terms of food production, but also suffers a wide range of food security challenges, including malnutrition, the impact of natural hazards, and rising food prices. People living in poverty conditions are the main victims of these problems, which trigger undernutrition, obesity, and diet-related non-transmittable diseases. Despite these challenges, Peru lacks historical food intake data. Therefore, in the current study, we assess the diet quality evolution in the period 2008–2021 based on apparent household purchases extracted from the National Household Survey. The results reveal significant variations in the consumption of certain food items and groups, and the consequences of these changes are discussed in environmental and human health terms. The consumption of lower environmental impact animal protein, such as chicken, eggs, and marine fish, has increased by 37%, 69%, and 29%, respectively; whereas the consumption of high environmental impact foods, such as beef and other red meat, has decreased. Moreover, consumption of less processed carbohydrate sources (e.g., legumes, fruits, and vegetables) has risen, while refined sugar and sugar-sweetened beverages have decreased significantly (almost 45%). Regional differences were also visible; hence, cities on the Northern coast and the Amazon basin had similar consumption habits, whereas Central/Southern coastal and Andean cities had closer consumption patterns. On average, this improvement was reflected in the increase in calories (9.9%) and macronutrient intake (up to 15%), but at the socioeconomic level, food inequality persists, with consumption of many food groups below minimum thresholds in lower socioeconomic strata. This article met the requirements for a gold/gold JIE data openness badge described at http://jie.click/badges.
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
Carbon and Water Conservation Value of Independent, Place-Based Repair in Lima, Peru
(John Wiley and Sons Inc, 2023-06-01)
To what extent do repair and maintenance of consumer electronics conserve the materials and energy they embody? In this paper we examine the conservation value of a cluster of independent third-party electronics repair businesses in Lima, Peru. Drawing on a combination of methods that include fieldwork, digital methods for online sociology, and life cycle assessment (LCA) of phones and tablets we quantify the conservation value of typical repairs performed at businesses in this cluster in terms of CO2 equivalent (CO2e) and water consumption relative to new manufactures of the same categories of electronics. We model typical repair scenarios and find that repair can offer substantial conservation benefits. However, these benefits vary by device sub-unit repaired (e.g., replacing a camera vs. replacing a display). For example, while two screen repairs through replacement is nearly equivalent to replacement with a whole new device, repairing with components that are already in the market could save around 10% of total emissions in global warming potential (GWP) for both devices. Further, we discuss the politics of attributing the conservation value achieved by the third-party repair cluster in Lima to either domestic (that is, Peruvian) or foreign CO2e and water consumption. Whose conservation of CO2e and water is this? How do the answers to that question shape understandings of the relevance of location for industrial ecology? Our work contributes to the emerging subfield of political industrial ecology and its incorporation of spatially explicit LCAs.
Some of the metrics are blocked by your
consent settings
Quantifying and mapping informal and formal building material stocks in Lima
(IOP Publishing, 2025-09-30)
Construction materials are essential for meeting societal needs in urban areas; however, they pose significant challenges for decarbonization, particularly in rapidly growing cities that struggle to meet the needs of all their citizens, such as those in the Global South (GS). This research develops and applies a GIS-based methodology to create an urban material stock map for Lima, Peru, encompassing both nonresidential and residential buildings, with the latter categorized into informal and formal housing. This study combines block-level spatial data with a refined definition of informality that better captures the nuances of reality while acknowledging its limitations, along with an extensive housing typology to calculate the material stocks present in the city. Material intensity (MI) factors were developed for each housing type, allowing for the estimation of material stocks across Lima's districts. The MI of informal housing is up to 70% less than that of formal housing. The results indicate that informal settlements comprise a substantial share of the housing (50%) and residential stock (31%) in the city. The research also highlights spatial disparities in material accumulation and their correlation with income inequality. This approach provides a replicable framework for other cities in the GS, addressing the urgent need for local data and tailored methodologies to inform sustainable urban planning and decarbonization strategies.
Scopus© Citations 2 1
Some of the metrics are blocked by your
consent settings
Identifying current trends in the environmental impacts linked to fishmeal and fish oil production in Peru
(Elsevier BV, 2025-04-30)
The anchoveta ( Engraulis ringens ) fishery in Peru, which is almost entirely devoted to the production of fishmeal and fish oil, is one of the largest fisheries in the world. It is volatile in terms of fishing stock availability, and the fishmeal industry has been subject to technological changes to upgrade its efficiency and reduce costs to maintain its competitiveness. The objective of this study is to apply the Life Cycle Assessment methodology to the production and exportation of fishmeal and fish oil products related to a relevant producer in Peru, representing 10 % of national production. A set of 169 vessels targeting E. ringens were inventoried, 88 % of which are owned by third parties, and four factories belonging to the company were assessed for the years 2019 and 2021. Ecoinvent was the selected database to support the life cycle inventory, and ReCiPe 2016 and IPCC 2021 were the methods applied to compute the environmental impacts. The results show that fuel combustion in fishmeal and fish oil production was the dominating activity in most of the impact categories analyzed. In terms of greenhouse gas emissions, it was found that, on average, approximately 320 kg CO 2 eq and 4430 kg CO 2 eq are emitted due to the production of 1 t of fishmeal and 1 t of fish oil, respectively, when an energy allocation is followed. The fishery accounted for ca. 45 % of greenhouse gas emissions and dominated most of the impact categories, showing greater influence of the fishing stage than in previous studies. The reasons behind are linked to the combined influence of improvements in the energy matrix of the plants, by prioritizing natural gas over diesel and residual fuel oils, and a slightly higher fuel use intensity of the fishing fleet. E. ringens quality was found to be an important parameter, as low protein or fat yields translate into substantially higher impacts. Finally, although Peruvian fishmeal and fish oil remain as one of the lowest environmental footprint products among animal feed, future work is needed to understand the effects that climate change and El Niño-Southern Oscillation events have on this industry. • Life cycle environmental impacts of Peruvian fishmeal and fish oil were analyzed. • On average, 320 and 4,430 kg CO 2 eq are emitted from the production of 1 t of fishmeal and 1 t of fish oil, respectively. • Diesel combustion during fishing and fuel used in transformation processes were dominant in most impact categories. • Transport is one of the main drivers of environmental impacts for fishmeal, but not for fish oil. • Peruvian fishmeal and fish oil showed the best performance in most impact categories when compared to worldwide studies.
2

3. Producción

Browse

Filters

Settings

Sort By

Results per page

Search Results