From Field to Bottle: Water Footprint Estimation in the Winery Industry

2021 ◽  
pp. 103-136
Author(s):  
Melody Blythe Johnson ◽  
Mehrab Mehrvar
Keyword(s):  
Water Footprint ◽  
Bottle Water

Temporal Trends in Greenhouse Gas Emissions, Water Footprint, and Ecological Footprint of Food Purchases in Brazilian Metropolitan Areas From 1987 to 2017

2020 ◽  
Author(s):  
Jacqueline Tereza da Silva ◽  
Josefa Maria Felleger Garzillo ◽  
Fernanda Rauber ◽  
Alana Marielle Rodrigues Gald Kluczkovski ◽  
Ximena Schmidt ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Ecological Footprint ◽  
Water Footprint ◽  
Metropolitan Areas ◽  
Temporal Trends ◽  
Gas Emissions ◽  
Food Purchases

Assessment of Water Footprint in Selected Crops: A State Level Appraisal

2017 ◽  
Vol 1 (1) ◽  
pp. 11-25
Author(s):  
Mohammad Suhail
Keyword(s):  
Water Use ◽  
Water Footprint ◽  
Large Fraction ◽  
State Level ◽  
Soil Survey ◽  
National Bureau ◽  
Blue Water ◽  
Total Water Consumption ◽  
Balanced Approach ◽  
Green Component

Every commodity or goods has intake of water i.e. either in processing or furnished stage. Thus, the present study propensities macro-level (states-level) water footprint (WFP) assessment of selected eight crops namely, Wheat, Barley, Maize, Millets, Rice, Sorghum, Soybeans and Tea. The aim of present research is to assess water use in selected crops at field level. In addition, the spatial evaluation at state level also considered as one of the significant objective to understand regional disparity and/or similarly. Methodology and approach of assessment was adopted from Water Footprint Assessment Manual (2011). Data was collected from state Agricultural Directorate, National Bureau of Soil Survey and landuse, published reports and online database such as FAOSTAT, WMO, WFN, and agriculture census. Results show that green component of WFP contributes large fraction as about 72 percent, while blue and grey component amounted of about 19 and 9 percent of the total water consumption, respectively. Moreover, spatial variability of blue, green and grey among the states assimilated by soil regime and climate barriers. Supply of blue water is high where the region imparted to semi-arid or arid land. Consequently, a balanced approach between green and blue water use has been recommended in the present study to address increasing water demand in the future.

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.

Quantitative evaluation of spatial scale effects on regional water footprint in crop production

2021 ◽  
Vol 173 ◽  
pp. 105709
Author(s):  
Ying Mao ◽  
Yilin Liu ◽  
La Zhuo ◽  
Wei Wang ◽  
Meng Li ◽  
...  
Keyword(s):  
Spatial Scale ◽  
Quantitative Evaluation ◽  
Crop Production ◽  
Water Footprint ◽  
Scale Effects ◽  
Regional Water

scholarly journals A multilevel carbon and water footprint dataset of food commodities

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tashina Petersson ◽  
Luca Secondi ◽  
Andrea Magnani ◽  
Marta Antonelli ◽  
Katarzyna Dembska ◽  
...  
Keyword(s):  
Water Footprint ◽  
Greenhouse Gas Emission ◽  
Grey Literature ◽  
Climate Mitigation ◽  
Food Sector ◽  
Environmental Pressures ◽  
Global Environmental ◽  
Dietary Shifts ◽  
Food Commodities ◽  
The Impact

AbstractInforming and engaging citizens to adopt sustainable diets is a key strategy for reducing global environmental impacts of the agricultural and food sectors. In this respect, the first requisite to support citizens and actors of the food sector is to provide them a publicly available, reliable and ready to use synthesis of environmental pressures associated to food commodities. Here we introduce the SU-EATABLE LIFE database, a multilevel database of carbon (CF) and water (WF) footprint values of food commodities, based on a standardized methodology to extract information and assign optimal footprint values and uncertainties to food items, starting from peer-reviewed articles and grey literature. The database and its innovative methodological framework for uncertainty treatment and data quality assurance provides a solid basis for evaluating the impact of dietary shifts on global environmental policies, including climate mitigation through greenhouse gas emission reductions. The database ensures repeatability and further expansion, providing a reliable science-based tool for managers and researcher in the food sector.

scholarly journals Water Footprint and Life Cycle Assessment: The Complementary Strengths of Analyzing Global Freshwater Appropriation and Resulting Local Impacts

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 803
Author(s):  
Winnie Gerbens-Leenes ◽  
Markus Berger ◽  
John Anthony Allan
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Water Consumption ◽  
Water Footprint ◽  
Local Impacts ◽  
Global Water

Considering that 4 billion people are living in water-stressed regions and that global water consumption is predicted to increase continuously [...]

scholarly journals The Water Footprint of Primary and Secondary Processing of Beef from Different Cattle Breeds: A Value Fraction Allocation Model

2021 ◽  
Vol 13 (12) ◽  
pp. 6914
Author(s):  
Frikkie Alberts Maré ◽  
Henry Jordaan
Keyword(s):  
Water Footprint ◽  
Negative Relationship ◽  
High Water ◽  
Allocation Model ◽  
Cattle Breeds ◽  
A Value ◽  
Average Production ◽  
High Water Intake ◽  
The Difference ◽  
By Products

The high water intake and wastewater discharge of slaughterhouses have been a concern for many years. One neglected factor in previous research is allocating the water footprint (WF) to beef production’s different products and by-products. The objective of this article was to estimate the WF of different cattle breeds at a slaughterhouse and cutting plant and allocate it according to the different cuts (products) and by-products of beef based on the value fraction of each. The results indicated a negative relationship between the carcass weight and the processing WF when the different breeds were compared. Regarding a specific cut of beef, a kilogram of rib eye from the heaviest breed had a processing WF of 614.57 L/kg, compared to the 919.91 L/kg for the rib eye of the lightest breed. A comparison of the different cuts indicated that high-value cuts had higher WFs than low-value cuts. The difference between a kilogram of rib eye and flank was 426.26 L/kg for the heaviest breed and 637.86 L/kg for the lightest breed. An option to reduce the processing WF of beef is to lessen the WF by slaughtering heavier animals. This will require no extra investment from the slaughterhouse. At the same time, the returns should increase as the average production inputs per kilogram of output (carcass) should reduce, as the slaughterhouse will process more kilograms.

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