scholarly journals Environmental Impacts of University Restaurant Menus: A Case Study in Brazil

2019 ◽  
Vol 11 (19) ◽  
pp. 5157 ◽  
Author(s):  
Maria Hatjiathanassiadou ◽  
Sthephany Rayanne Gomes de Souza ◽  
Josimara Pereira Nogueira ◽  
Luciana de Medeiros Oliveira ◽  
Virgílio José Strasburg ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Water Footprint ◽  
Food Group ◽  
Public University ◽  
Animal Protein ◽  
Food Services ◽  
Fresh Vegetables ◽  
Per Capita ◽  
Main Factor

The production of collective meals in institutional restaurants demands a great use of natural resources. The search for strategies to reduce negative environmental impacts in this sector is essential to offer meals that are not only healthy but also sustainable. In this study the evaluation of water footprint (WF) of menus offered in a public university restaurant located in the northeast of Brazil and the verification of the origin of foodstuff purchased to compose the menus in 2 months were carried out. The study is transversal, descriptive, and exploratory and the data were collected between March and April 2018. Water footprint of 112 traditional and vegetarian menus was calculated and the results showed that the WF of traditional menus was higher (p < 0.0001) than the vegetarian menus. Weekly average per capita of WF was 2752.0 L for traditional menus and 1113.9 L for the vegetarian option, with animal protein intake in the traditional version being the main factor for this difference. It was identified that 49.47% of the foods used in the studied period originated from the same state where the restaurant is located, with fresh vegetables being the food group with the highest contribution. Thus, we conclude that although the restaurant purchases local food products, the environmental impact of the choice of foods that is included in the menus must be taken into account. The utilization of local foodstuff and the decrease of animal protein in the menus can be a good strategy to encourage sustainable actions in food services meal production.

scholarly journals Environmental impacts of the water footprint and waste generation from inputs used in the meals of workers in a Brazilian public hospital

2021 ◽  
Vol 10 (3) ◽  
pp. e22510313129
Author(s):  
Virgílio José Strasburg ◽  
Laura Souza Fontoura ◽  
Luiza Vigne Bennedetti ◽  
Evelyn Pôrto Lima Camargo ◽  
Bruno Jonatan de Sousa ◽  
...  
Keyword(s):  
Environmental Impacts ◽  
Public Hospital ◽  
Water Footprint ◽  
Material Selection ◽  
Raw Materials ◽  
Food Group ◽  
Climatic Conditions ◽  
Raw Material ◽  
Waste Generation ◽  
Animal Products

This study aimed to assess the environmental impacts of waste generation and the WF of raw materials used to provide meals to workers in a public hospital in southern Brazil over the course of the four seasons. This is a descriptive case study with a quantitative approach. The food raw materials that composed meals during 2019 were grouped by type of input. The items included from each food group were those which represented at least 85% (Multiple Criteria ABC Analysis) of the total amount used in kilograms within the respective group, in each month. The generation of residues from fruits, vegetables, and meat was estimated, as well as the WF of the items. For the statistical analysis, the Kruskal-Wallis test was used with a significance of 5%. Out of the 96 food inputs used, 49 items represented 86% of the total in kg, being the ones from which the environmental impacts were calculated. During the year, 435,411 meals were served. As for the number of diners, the highest frequency was observed in the winter and lowest in the summer. The annual waste percentage of the fruits acquired was 33.8%, being higher in the summer than in other seasons. Animal products were responsible for 64.2% of the WF, being higher in the winter. Assessing user frequencies, climatic conditions, and raw-material selection are important measures for the appropriate management of foodservices, as well as for assessing their environmental impacts.

Energy Consumption Pattern of Residential Buildings: Case Study of Residential Area in Batu Pahat, Johor

2020 ◽  
Vol 12 (9) ◽  
Author(s):  
Junaidah Jailani ◽  
◽  
Norsyalifa Mohamad ◽  
Muhammad Amirul Omar ◽  
Hauashdh Ali ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Area ◽  
Consumption Pattern ◽  
Air Conditioners ◽  
Residential Sector ◽  
Waste Energy ◽  
Main Factor ◽  
Energy Consumption Pattern

According to the National Energy Balance report released by the Energy Commission of Malaysia in 2016, the residential sector uses 21.6% of the total energy in Malaysia. Residents waste energy through inefficient energy consumption and a lack of awareness. Building occupants are considered the main factor that influences energy consumption in buildings, and to change energy consumption on an overall scale, it is crucial to change individual behaviour. Therefore, this study focused on analysing the energy consumption pattern and the behaviour of consumers towards energy consumption in their homes in the residential area of Batu Pahat, Johor. A self-administrated questionnaire approach was employed in this study. The findings of this study showed that the excessive use of air conditioners was a significant factor in the increasing electricity bills of homeowners as well as the inefficient use of electrical appliances. Also, this study determined the effect of awareness on consumer behaviour. This study recommends ways to help minimise energy consumption in the residential area.

The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)

Erdkunde ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 191-204
Author(s):  
Marcus Hübscher ◽  
Juana Schulze ◽  
Felix zur Lage ◽  
Johannes Ringel
Keyword(s):  
Santa Cruz ◽  
Short Term ◽  
Rental Market ◽  
Rural Space ◽  
Use Of Data ◽  
Web Scraping ◽  
Per Capita ◽  
Per Se ◽  
The Impact

Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.

scholarly journals Optimizing the Environmental and Economic Sustainability of Remote Community Infrastructure

2020 ◽  
Vol 12 (6) ◽  
pp. 2208 ◽  
Author(s):  
Jamie E. Filer ◽  
Justin D. Delorit ◽  
Andrew J. Hoisington ◽  
Steven J. Schuldt
Keyword(s):  
Environmental Impacts ◽  
Sustainability Assessment ◽  
Model Performance ◽  
Assessment Model ◽  
Remote Communities ◽  
Remote Community ◽  
Rural Villages ◽  
Sustainable Technologies ◽  
Study Results

Remote communities such as rural villages, post-disaster housing camps, and military forward operating bases are often located in remote and hostile areas with limited or no access to established infrastructure grids. Operating these communities with conventional assets requires constant resupply, which yields a significant logistical burden, creates negative environmental impacts, and increases costs. For example, a 2000-member isolated village in northern Canada relying on diesel generators required 8.6 million USD of fuel per year and emitted 8500 tons of carbon dioxide. Remote community planners can mitigate these negative impacts by selecting sustainable technologies that minimize resource consumption and emissions. However, the alternatives often come at a higher procurement cost and mobilization requirement. To assist planners with this challenging task, this paper presents the development of a novel infrastructure sustainability assessment model capable of generating optimal tradeoffs between minimizing environmental impacts and minimizing life-cycle costs over the community’s anticipated lifespan. Model performance was evaluated using a case study of a hypothetical 500-person remote military base with 864 feasible infrastructure portfolios and 48 procedural portfolios. The case study results demonstrated the model’s novel capability to assist planners in identifying optimal combinations of infrastructure alternatives that minimize negative sustainability impacts, leading to remote communities that are more self-sufficient with reduced emissions and costs.

Carbon footprint and water footprint assessment of virgin and recycled polyester textiles

2021 ◽  
pp. 004051752110062
Author(s):  
Weiran Qian ◽  
Xiang Ji ◽  
Pinghua Xu ◽  
Laili Wang
Keyword(s):  
Production Process ◽  
Environmental Impacts ◽  
Carbon Footprint ◽  
Water Scarcity ◽  
Water Footprint ◽  
Oxygen Demand ◽  
Polyester Fabric ◽  
Total Carbon ◽  
Fabric Production ◽  
Water Eutrophication

Recycled polyester textile fibers stemming from waste polyester material have been applied in the textile industry in recent years. However, there are few studies focusing on the evaluation and comparison of the environmental impacts caused by the production of virgin polyester textiles and recycled polyester textiles. In this study, the carbon footprint and water footprint of virgin polyester textiles and recycled polyester textiles were calculated and compared. The results showed that the carbon footprint of the virgin polyester textiles production was 119.59 kgCO2/100 kg. Terephthalic acid production process occupied the largest proportion, accounting for 45.83%, followed by polyester fabric production process, ethylene production process, paraxylene production process, ethylene glycol production process and polyester fiber production process. The total carbon footprint of waste polyester recycling was 1154.15 kgCO2/100 kg, approximately ten times that of virgin polyester textiles production. As for the water footprint, it showed that virgin polyester fabric production and recycled polyester fabric production both had great impact on water eutrophication and water scarcity. Chemical oxygen demand caused the largest water eutrophication footprint, followed by ammonia-nitrogen and five-day biochemical oxygen demand. The water scarcity footprint of virgin polyester fabric production and recycled polyester fabric production was 5.98 m3 H2Oeq/100 kg and 1.90 m3 H2Oeq/100 kg, respectively. The comprehensive evaluation of carbon footprint and water footprint with the life cycle assessment polygon method indicated that the polyester fabric production process exhibited greater environmental impacts both for virgin polyester and recycled polyester.

scholarly journals Decomposition of Water Footprint of Food Consumption in Typical East Chinese Cities

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin
Keyword(s):  
Food Consumption ◽  
Urban Areas ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Diet Shift ◽  
City Development ◽  
Intensity Effect ◽  
Consumption Level ◽  
Positive Effects ◽  
Per Capita

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.

scholarly journals Product-Service Systems and Sustainability: Analysing the Environmental Impacts of Rental Clothing

2021 ◽  
Vol 13 (4) ◽  
pp. 2118
Author(s):  
Emma Johnson ◽  
Andrius Plepys
Keyword(s):  
Environmental Impacts ◽  
Business Models ◽  
Service Systems ◽  
Environmental Benefits ◽  
Fast Fashion ◽  
Product Service ◽  
Potential Impact ◽  
Environmental Savings ◽  
Product Service Systems

Business models like product-service systems (PSSs) often recognise different sustainability goals and are seen as solutions for the impacts of consumption and fast fashion, but there is a lack of evidence supporting the environmental claims of such business models for clothing. The research aimed to understand if rental clothing business models such as PSSs have the environmental benefits often purported by quantifying the environmental impacts of rental formal dresses in a life-cycle assessment (LCA) in a case study in Stockholm, Sweden. The effects of varying consumer behaviour on the potential impact of a PSS vs. linear business model are explored through three functional units and 14 consumption scenarios. How users decide to engage with clothing PSSs dictates the environmental savings potential that a PSS can have, as shown in how many times consumers wear garments, how they use rental to substitute their purchasing or use needs, as well as how consumers travel to rental store locations.

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