Search Results (16)

Amid escalating global water scarcity and growing emphasis on demand-side interventions for sustainable resource use, understanding how consumers’ virtual water cognition can drive food–water resource conservation is critical for strengthening sustainable resource governance. Through a questionnaire survey, this study constructed a Food–Water Behavior Synergy Model to explore the relationship among consumers’ virtual water cognition and food-conservation behavior, water-conservation behavior, and food–water synergistic cognition in China. Results show that virtual water cognition significantly increased food-conservation behavior (β = 0.158, p < 0.001) and WCB (β = 0.064, p < 0.001). Food–water synergistic cognition also positively affected food-conservation behavior (β = 0.099, p < 0.001) and water-conservation behavior (β = 0.035, p < 0.01), consistent with the knowledge–action framework. The magnitudes of these effects differed across subgroups (gender, education level, major, region, and urban–rural residence). Virtual water cognition did not significantly enhance food–water synergistic cognition (β = 0.006, p = 0.758), providing empirical evidence of a knowledge–action gap. There was a strong direct effect of food-conservation behavior on water-conservation behavior (β = 0.498, p < 0.001), and there was evidence that food-conservation behavior mediated the indirect paths from both virtual water cognition and food–water synergistic cognition to water-conservation behavior. Implementing consumer-oriented contextual interventions—such as differentiated educational guidance and water-footprint labeling—would be conducive to translating theoretical knowledge into practical action. Full article

The water footprint is an increasingly demanded environmental sustainability indicator for certifications and labels in agricultural production. Processing tomatoes are highly water-intensive, and existing studies on water footprint have uncertainties and do not consider the impact of different irrigation configurations (e.g., surface drip irrigation (SDI) and subsurface drip irrigation (SSDI)) and irrigation strategies. This study presents a two-year experimental investigation to determine the water footprint of processing tomatoes grown in southern Spain (Andalusia) and the impact of SSDI and deficit irrigation. Five irrigation treatments were established: SDI₁ (surface drip irrigation without water limitation), SDI₂ (surface drip irrigation without water limitation adjusted by soil moisture readings), SSDI₁ (subsurface drip irrigation without water limitation and a dripline depth of 15 cm), SSDI₂ (similar to SSDI₁ but with mild/moderate water deficit during the fruit ripening stage), and SSDI₃ (subsurface drip irrigation without water limitation and a dripline depth of 35 cm (first year) and 25 cm (second year)). Measurements included crop vegetative growth, leaf water potential, leaf gas exchange, nitrate concentration in soil solution, and crop yield and quality. The soil water balance components (actual evaporation, actual transpiration, deep drainage), necessary for determining the total crop water footprint, were simulated on a daily scale using Hydrus 2D software. Results indicated that SSDI makes more efficient use of irrigation water than SDI. The water footprint of SSDI₁ was 20–35% lower than that of SDI₁. SSDI₂ showed similar water footprint values to SDI₁ under highly demanding environmental conditions and significantly lower values (≈40%) in a year with lower evaporative demand. The dripline depth in SSDI was critical to the water footprint. With a 35 cm installation depth, SSDI₃ had a significantly higher water footprint than the other treatments, while the values were similar to SSDI₁ when the depth was reduced to 25 cm. Full article

Promoting sustainable consumer behavior is now an obligation under new European legislation, requiring life cycle assessment (LCA) for accurate environmental impact evaluation. Portugal is a key textile producer with an edge in competitiveness in sustainable textile production, driven by electricity-reduced carbon footprints and closed-loop manufacturing. Additionally, while simple spreadsheets can estimate a product’s carbon footprint, openLCA v1.11.0 software, combined with the ecoinvent database, greatly enhances environmental footprint calculations by integrating diverse impact categories that are otherwise difficult to estimate. In this study, openLCA is used to evaluate the environmental footprint of a white T-shirt made in Portugal with 50% recycled cotton from post-industrial wastes combined with 50% organic cotton from Turkey to assist in the design of environmental key performance indicators (KPI). The RECIPE and EF methods (adapted) are used to calculate the environmental impacts and allow aggregation into a single score. The KPI related to the global warming impact is validated using a spreadsheet calculator. We propose an “Envi-Score” based on an A-to-E classification for benchmarking and better communication with the buyers. E is set as the normalized environmental impact of the European benchmark for a mixture of material T-shirts encompassing cradle-to-gate boundaries. The introduction of recycled cotton produced in Portugal proves to be environmentally beneficial over organic and conventional cotton. Organic cotton proves to be beneficial in comparison with conventional cotton for most environmental categories, except for the ones affected by the lower production yield, for example, land use. The hotspots for the main impact categories are identified, and finally, a labeling scheme is proposed to clearly inform about the environmental performance of the products and avoid greenwashing with the “Envi-Score” rate, carbon footprint, land use, and water depletion. Full article

Beer production consumes significant amounts of water, energy, and raw materials, and results in the production of various by-products, including wastewater, brewers’ spent grain, yeast and hop. To lower its environmental footprint, by-products may be reclaimed or valorized in agro-food, cosmetic, material, chemical industries, etc. According to most recent research, breweries have the potential to become biorefineries, as they can extract diverse valuable plant-based compounds such as carbohydrates, proteins, lipids, phenolic compounds, platform chemicals, and biopolymers. These biomolecules possess bioactive and physicochemical properties, which can be enhanced through recovery processes. Brewery by-products may be utilized in various industries within the bioeconomy frame. In agro-food systems, extracts can increase final products’ techno-functionalities. Such additives can also help in creating marketing labels such as clean-label healthy, which can further attract potential customers. Businesses can gain economic and socio-environmental benefits by implementing sustainable practices, which can also improve their corporate image. This article outlines recent advancements in the processing and valorization of brewery by-products, ultimately defining an up-to-date, sustainable strategy for clean beer production. Full article

Asymmetric ethers such as Cyclopentyl Methyl Ether (CPME) found their application as alternative solvents in technology; they are often labeled as “green solvents” as they can be prepared using renewable feedstock. They are almost immiscible with water and can be easily regenerated. Based on earlier experiments with CPME preparation in laboratory conditions and the estimated product yields, an initial assessment of the reaction mixture separation train was performed, for the chosen production capacity of 100 kg·h⁻¹ of CPME. Following suitable thermodynamic model selection, basic analyses in Aspen Plus software were executed. Reactor effluent containing eight chemical species was subjected to multiple separation steps including extraction and several rectifications including one vapor phase compression step to yield saleable products with sufficient purity and unreacted chemicals recyclable to the reactor. Basic simulations were performed to find the optimal working conditions of individual columns and to estimate the associated energy needs. Basic design, without any heat or work integration measures, required a total heating duty of 787 kW and a total cooling duty of 614 kW. This yielded a specific heat consumption of 28.3 GJ per ton of the main product (CPME) which is unacceptably high as it represents around 70% of its chemical energy content (heating value). Further research will be devoted to reducing heating and cooling duty by integrated separation train design development to comply with the reduced carbon footprint mandatory for the syntheses and separations of green solvents. Full article

In the present study, we propose a simple and practical method for assessing and communicating Water Footprint (WF) performance of a crop. We introduce the concept of “Water Footprint Score” (WFS), a comprehensive and comparable indicator of farmers’ water resources management performance, which can be incorporated into agricultural products’ labels. WFS as the outcome of the comparison with a water footprint annual reference level, and is a spatiotemporally comparable metric that reflects the convergence to best cultivation practices and can be easily perceived by both farmers and consumers. Examples of water footprint score for two different crops, kiwifruits and table olives, are provided. Full article

Enhancing healthy and sustainable food systems is one of the key goals of the current European Commission policy. In this light, the creation of a food environment where people are properly informed about the healthiness and sustainability of food choices is essential. This study aimed to evaluate the nutritional profile and the environmental impact of meals consumed in a workplace canteen in Italy in the presence of a nudge (i.e., the Double Pyramid logo) combined with a web-based application promoting the Mediterranean Diet. Energy and nutrient contents and the carbon, water, and ecological footprints of 29,776 meals were compared across three subsequent periods (from June to April) through one-way ANOVA. Although the choice of dishes labelled with the Double Pyramid logo was comparable across periods, the selection of fish- and plant-based dishes increased from +2% (fish, vegetables) up to +17% (whole-grain cereals), with a concurrent reduction of meat-based options (−2%). Although the consumption of healthy items increased (p < 0.001), they were not added as a replacement for alternative options, leading to a higher content in energy (p < 0.001) and nutrients (p < 0.001) and worse environmental footprints, contrarily to what was observed when data were adjusted for energy. The intervention significantly improved food choices; however, as the higher selection of desired dishes was not adequately compensated for, it was not fully effective. Full article

In Spain, most businesses are medium to small size enterprises, representing 90% of the total, but there is a lack of studies of the types of building this sector uses. The main objective of this paper is to present a method for the evaluation of small industrial construction projects to facilitate the introduction of eco-efficient solutions. For this, it is necessary to identify the most representative buildings and the aspects of these which have the most environmental impact. A methodology in place for the evaluation of dwelling construction is adapted, for the first time, to evaluate industrial buildings. The construction solutions characterized are those traditionally used in the sector, as identified through 87 surveys. A standardized classification of work units is proposed to enable the use of environmental product information, such as eco-labels and/or EPD, and LCA databases. The carbon footprint (CF) and water footprint (WF) are the indicators selected because of their straightforward message. Finally, a comparative analysis is performed showing the high recycling potential of concrete and cement which, along with metals and aggregates, control the impact in terms of CF. With respect to the WF indicator, plastic substitute aggregates are among the materials with the greatest impact. Full article

Current food production and consumption patterns pose serious threats to our global environment. The goal of the current research is to investigate whether the presence of specific informational cues, i.e., ecological labels and nutrition labels, can improve the environmental impact of food choices. Two online experiments were carried out in which young adults were asked to select products in a grocery shop setting, and to indicate quantities (in grams) for a hypothetical one-person meal. In the first experiment (N = 142), we varied the theme (sustainability vs. nutrition vs. control) of the labels alongside the products. The labels displayed a summarized product score (i.e., the products’ actual nutri-score), but this was either presented as the nutritional score or as the ecological score of that product. In the second experiment (N = 250), we again varied this label theme as well as the level of complexity, namely interpretative (i.e., simple) vs. reductive (i.e., detailed). While the results of the first experiment revealed no impact of the labels, the results of the second experiment suggest that labels with a sustainability theme can influence young adults to compose a more sustainable meal with less meat, and with a lower carbon and blue water footprint. The labels’ level of complexity did not impact the different eating outcomes. In conclusion, while these results point to the potential use of labels with a sustainability theme, it is important to note that the results did not consistently replicate across studies and analyses and should therefore be interpreted with caution. A possible explanation for the effect of eco-themed labels might be that they trigger pro-environmental objectives during decision-making, and prime people to consider the sustainability of their food choices. Full article

Environmental impacts of textile production increased over the last decades. This also led to an increasing demand for sustainable textiles and ecolabels, which intend to provide information on environmental aspects of textiles for the consumer. The goal of the paper is to assess selected labels with regard to their strengths and weaknesses, as well as their coverage of relevant environmental aspects over the life cycle of textiles. We applied a characterization scheme to analyse seven selected labels (Blue Angel Textiles, bluesign^®, Cotton made in Africa (CMiA), Cradle to Cradle Certified^TM, Global Organic Textile Standard (GOTS), Global Recycled Standard (GRS), VAUDE Green Shape), and compared their focus to the environmental hotpots identified in the product environmental footprint case study of t-shirts. Most labels focus on the environmental aspects toxicity, water use, and air emissions predominantly in the upstream life cycle phases of textiles (mainly garment production), whereas some relevant impacts and life cycle phases like water in textile use phase remain neglected. We found significant differences between the ecolabels, and none of them cover all relevant aspects and impacts over the life cycle. Consumers need to be aware of these limitations when making purchase decisions. Full article

The climate change that plagues the world is causing extended periods of water shortage. This situation is forcing farmers in the region of Murcia in Spain to modernize their irrigation systems to optimize use of the scarce water they have and seek a circular water economy using the recovered water. Moreover, an associated problem is the need for energy that these facilities require in order to pressurize the required water. The use of photovoltaic generation contributes to the reduction of greenhouse gas (GHG) emissions. Food produced in this region tends to have guaranteed markets in Europe and, geographically, due to the high quality of phytosanitary controls and traceability during their marketing, their optimal cultivation, and selection and labelling is verified, specifying valuable information such as: collection date, origin, the use of organic fertilizers among others. To maintain market access, it is important to continue implementing other environmental improvements, i.e., reductions in either hydro or carbon footprints. Previous studies have failed to include the prospect of environmental use of isolated facilities to replace existing consumption, seeking the monetarization of the facility as well as prioritizing the reduction of GHG. Previous studies have failed to include the perspective of environmental use of isolated photovoltaic installations, based on existing consumption, thus, going beyond the monetarization of the facility, to prioritize the reduction of GHG applied in practice by environmentally sensitized farmers. This study was conducted in an existing facility with great technical complexity and three different sources of water supply, over 1500 plots and an altitude range in plots and reservoirs of more than 400 m. Full article

Satellite-derived land surface temperature (LST) reveals the variations and impacts on the terrestrial thermal environment on a broad spatial scale. The drastic growth of urbanization-induced impervious surfaces and the urban population has generated a remarkably increasing influence on the urban thermal environment in China. This research was aimed to investigate land surface temperature (LST) intensity response to urban land cover/use by examining the thermal impact on urban settings in ten Chinese megacities (i.e., Beijing, Dongguan, Guangzhou, Hangzhou, Harbin, Nanjing, Shenyang, Suzhou, Tianjin, and Wuhan). Surface urban heat island (SUHI) footprints were scrutinized and compared by magnitude and extent. The causal mechanism among land cover composition (LCC), population, and SUHI was also identified. Spatial patterns of the thermal environments were identical to those of land cover/use. In addition, most impervious surface materials (greater than 81%) were labeled as heat sources, on the other hand, water and vegetation were functioned as heat sinks. More than 85% of heat budgets in Beijing and Guangzhou were generated from impervious surfaces. SUHI for all megacities showed spatially gradient decays between urban and surrounding rural areas; further, temperature peaks are not always dominant in the urban core, despite extremely dense impervious surfaces. The composition ratio of land cover (LCC%) negatively correlates with SUHI intensity (SUHII), whereas the population positively associates with SUHII. For all targeted megacities, land cover composition and population account for more than 63.9% of SUHI formation using geographically weighted regression. The findings can help optimize land cover/use to relieve pressure from rapid urbanization, maintain urban ecological balance, and meet the demands of sustainable urban growth. Full article

Unmanned aerial vehicles (UAV) are being used for low altitude remote sensing for thematic land classification using visible light and multi-spectral sensors. The objective of this work was to investigate the use of UAV equipped with a compact spectrometer for land cover classification. The UAV platform used was a DJI Flamewheel F550 hexacopter equipped with GPS and Inertial Measurement Unit (IMU) navigation sensors, and a Raspberry Pi processor and camera module. The spectrometer used was the FLAME-NIR, a near-infrared spectrometer for hyperspectral measurements. RGB images and spectrometer data were captured simultaneously. As spectrometer data do not provide continuous terrain coverage, the locations of their ground elliptical footprints were determined from the bundle adjustment solution of the captured images. For each of the spectrometer ground ellipses, the land cover signature at the footprint location was determined to enable the characterization, identification, and classification of land cover elements. To attain a continuous land cover classification map, spatial interpolation was carried out from the irregularly distributed labeled spectrometer points. The accuracy of the classification was assessed using spatial intersection with the object-based image classification performed using the RGB images. Results show that in homogeneous land cover, like water, the accuracy of classification is 78% and in mixed classes, like grass, trees and manmade features, the average accuracy is 50%, thus, indicating the contribution of hyperspectral measurements of low altitude UAV-borne spectrometers to improve land cover classification. Full article

Climate change adds an additional layer of complexity that needs to be considered in business strategy. For firms in the food industry, many of the important climate impacts are not directly related to food processing so a value chain approach to adaptation is recommended. However, there is a general lack of operational tools to support this. In this study, carbon and water footprints were conducted at a low-precision screening level in three case studies in Australia: Smith’s potato chips, OneHarvest Calypso™ mango and selected Treasury Wine Estates products. The approach was cost-effective when compared to high-definition studies intended to support environmental labels and declarations, yet provided useful identification of physical, financial, regulatory and reputational hotspots related to climate change. A combination of diagnostic footprinting, downscaled climate projection and semi-quantitative value chain analysis is proposed as a practical and relevant toolkit to inform climate adaptation strategies. Full article

This paper shows how the concept of the Ecological Footprint can be developed by incorporating the six procedures listed below, to create a single indicator of just distribution of the limited natural resources, between and within generations, and become a benchmark for decision-making between alternatives of consumption, life-styles and economic policies. Using this new tool, it should be possible to label every commodity, service and natural resource with the share it claims of the Earth’s surface. This, in turn, can enable the integration of natural limits into the economy through the complete internalization of costs within market prices, while also reducing resource throughput fairly and quickly without an undue loss in GNP. The six procedures are as follows: First, operating within the boundaries of the sustainable local yields of the biologically productive soil and water areas, without any input of non-renewable resources, particularly fossil fuels; Second, taking spatial variations of this yield into account; Third, considering only sustainable CO₂-sinks; Fourth, including every exploitation of nature, for instance all material flows; Fifth, taking care of intertemporal effects and depletion; and sixth, preserving the natural habitats necessary for the survival of biodiversity, bearing the species/area relationship in mind. Full article