Cost-Based Quantitative-Qualitative Water Footprint Considering Multiple Contaminants

Author(s):  
Xuexiu Jia ◽  
Petar Sabev Varbanov ◽  
Sharifah R Wan Alwi ◽  
Dong Yang ◽  
Jiří Jaromír Klemeš
2020 ◽  
Author(s):  
Jacqueline Tereza da Silva ◽  
Josefa Maria Felleger Garzillo ◽  
Fernanda Rauber ◽  
Alana Marielle Rodrigues Gald Kluczkovski ◽  
Ximena Schmidt ◽  
...  

2017 ◽  
Vol 1 (1) ◽  
pp. 11-25
Author(s):  
Mohammad Suhail

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.


2006 ◽  
Vol 41 (3) ◽  
pp. 244-255 ◽  
Author(s):  
Jack F. Klaverkamp ◽  
Vince P. Palace ◽  
Christopher L. Baron ◽  
Robert E. Evans ◽  
Kerry G. Wautier

Abstract Pearl dace (Semotilus margarita) were held in cages and exposed to mine effluents, municipal wastewater effluents, a combination of the two, or to the combination in addition to runoff from a garbage disposal facility. Fish exposed to mining effluents only had the lowest mean lengths and weights but highest concentrations of As, Ni and Hg and lowest Zn in their viscera. Fish exposed to municipal wastewater effluents only had the highest concentrations of Cd and metallothionein in their viscera. Histopathological analyses of gill and liver tissues revealed a higher incidence of lesions in fish exposed to municipal wastewater effluents. These fish also had the highest LSIs, condition factors and mean vitellogenin concentrations in plasma from males. Fish exposed near the garbage disposal site had the highest concentrations of Pb and Se in their viscera.


2021 ◽  
pp. 004051752110062
Author(s):  
Weiran Qian ◽  
Xiang Ji ◽  
Pinghua Xu ◽  
Laili Wang

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.


2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin

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.


2021 ◽  
Vol 173 ◽  
pp. 105709
Author(s):  
Ying Mao ◽  
Yilin Liu ◽  
La Zhuo ◽  
Wei Wang ◽  
Meng Li ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tashina Petersson ◽  
Luca Secondi ◽  
Andrea Magnani ◽  
Marta Antonelli ◽  
Katarzyna Dembska ◽  
...  

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.


Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 803
Author(s):  
Winnie Gerbens-Leenes ◽  
Markus Berger ◽  
John Anthony Allan

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


2021 ◽  
Vol 13 (12) ◽  
pp. 6914
Author(s):  
Frikkie Alberts Maré ◽  
Henry Jordaan

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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