The supply-chain water footprint of paper

Keyword(s):  
2018 ◽  
Vol 10 (6) ◽  
pp. 2045 ◽  
Author(s):  
Dimitrios Vlachos ◽  
Eirini Aivazidou

Author(s):  
Giulia Borghesi ◽  
Giuseppe Vignali

Agriculture and food manufacturing have a considerable effect on the environment emissions: holdings and farms play an important role about greenhouse gas emissions and water consumption. This study aims at evaluating the environmental impact of one of the most important Italian DOP product: organic Parmesan Cheese. Environmental performances of the whole dairy supply chain have been assessed according to the life cycle assessment approach (LCA). In this analysis Parmesan Cheese is made from an organic dairy farm in Emilia Romagna, which uses the milk from three different organic livestock productions. Organic agriculture is different from conventional; the major difference is represented by the avoidance of the use of synthetic fertilizers and pesticides made in chemical industry process. Organic agriculture uses organic fertilizers to encourage the natural fertility of the soil respecting the environment and the agro-system. In this case, life cycle approach is used to assess the carbon footprint and the water footprint of organic Parmesan Cheese considering the milk and cheese production. The object at this level is investigating the environmental impact considering the situation before some improvement changes. The functional unit is represented by 1 kg of organic Parmesan Cheese; inventory data refer to the situation in year 2017 and system boundaries consider the inputs related to the cattle and dairy farm until the ripening (included). The carbon footprint is investigated using IPCC 2013 Global Warming Potential (GWP) 100a method, developed by Intergovernmental Panel on Climate Change, and reported in kg of CO2eq. Otherwise, water footprint allows to measure the water consumption and in this work it is assessed using AWARE method (Available Water REmaining).


Author(s):  
A. Trujillo-Mata ◽  
G. Cortés-Robles ◽  
C. Sánchez-Ramírez ◽  
G. Alor-Hernández ◽  
J. L. García-Alcaraz

Author(s):  
Mary Clayton ◽  
Michael E. Webber

Assessing and mitigating the water footprint of a business can reduce the risks associated with potential freshwater shortages. Because water is vital in the supply chain and operations of all major industries, depletion of freshwater sources, increases in demand of water, and droughts can threaten a company’s production, financial stability, and reputation. Consequently, it is essential to identify water vulnerability in a business’s operational portfolio and to ensure that the business’s water management aligns with its overall sustainability strategies. Furthermore, understanding a business’s water footprint allows for effective resource management, which can help minimize costs and reduce its environmental impact. Currently, interest in the water footprints of organizations, products, and services is increasing, creating a need for a shared standard of definitions and methodologies for water metering and reporting. In addition, consistent methodologies for including embedded and indirect water use and a uniform application of analysis boundaries need to be developed. This research aims to develop an accounting methodology for water reporting along with tools for identifying opportunities to improve water efficiency. Additionally, existing definitions, approaches, and best practices for measuring, reporting, and managing water use across different industries are summarized. A conceptual model was developed to evaluate the lifecycle water footprint, including direct and indirect (embedded in energy and materials) water use in both supply chains and operations. Further, a case study is considered to assess the water impact of a mixed-use facility in Palo, Alto, California. Comprehensive water, electricity, and gas metering data were collected for this site, and the water uses of California’s energy mix were determined. Finally, this data set was utilized to summarize direct and indirect water use at a corporate site, and recommendations of water conservation and reuse for this site are considered. Future work includes development of validation and optimization approaches for minimizing water usage. The model was built such that it can be expanded to include multiple sites in the global supply chain in order to estimate worldwide water usage throughout a large company’s operations.


2016 ◽  
Vol 171 ◽  
pp. 133-143 ◽  
Author(s):  
Isabel Noya ◽  
Xavier Aldea ◽  
Carles M. Gasol ◽  
Sara González-García ◽  
Maria José Amores ◽  
...  
Keyword(s):  

2017 ◽  
Vol 12 (4) ◽  
Author(s):  
B S How ◽  
H L Lam

AbstractSustainable biomass supply chain management (SBSCM) problem is a multi-objective optimisation (MOO) problem since the objectives of each sustainability dimension and (or) each components under a same sustainability dimension can be conflicting. It is unlikely to have a single solution that could simultaneously satisfy all objectives. Therefore, achieving optimum for one objective requires compromise of other objectives. Several approaches have been developed to solve MOO problems. The simplest way reported from the academicians is to transform MOO problem into single objective optimisation (SOO) problem by converting all objectives into a similar form of objectives. However, converting environmental impacts into economic form might produce sub-optimal solution as the optimal result is highly dependent on the magnitude of the penalty cost. This paper presents a systematic approach which integrates both economic and environmental concerns in the supply chain by using the concept of analytic hierarchy process (AHP). Instead of merely focusing on carbon emission, this paper incorporates other environmental indicators as well, i. e., global warming potential (GWP), ozone depletion potential (ODP), acidification potential (AP), photochemical ozone creation potential (POCP), nutrification potential (NP), aquatic toxicity potential (ATP), terrestrial toxicity potential (TTP), abiotic depletion potential (ADP), water footprint and land footprint. On top of that, this paper also proposes a graphical illustration method to present the sustainability performance of the results. Both economic sustainability and environmental sustainability are expressed in a vector form. With the aid of this graphical representation, the tendency of the process towards each sustainability dimension can be clearly seen. A case study in Johor state is used to demonstrate the proposed method and a palm biomass supply chain with high sustainability performance (${\lambda ^{SCM}}$= 0.8437) is synthesised in this paper.


2020 ◽  
Vol 98 (Supplement_2) ◽  
pp. 30-30
Author(s):  
Hector M Menendez ◽  
Luis O Tedeschi

Abstract Livestock water use sustainability is a growing concern in the beef cattle sector. The Water Footprint Assessment (WFA) method has been used to quantify the water footprint (WF) of beef products but does not suggest any specific management strategies to decrease the WF of beef cattle (WFB) within and across the beef supply chain. The WFB is primarily influenced by forage and grain production water uses (m3/t), which are directly linked to dry matter (kg/d) and water intake (L/d) and cattle growth (kg/d). Therefore, the objective of this study was to assess the alteration of forage quality and above-ground biomass production (t/ha) of annual ryegrass (Lolium multiflorum) and bermudagrass (Cynodon dactylon), in addition to published WF estimates for corn (Zea mays) and soybean (Glycine max) production (m3/t) on the daily Texas WFB. A dynamic Texas Beef Water Footprint Model (TXWFB) was developed to predict WFB, using the System Dynamic methodology and equations from the Ruminant Nutrition System (RNS) and Beef Nutrient Requirements (NASEM) models. Results indicated that forage and crop biomass production is a high-leverage solution to offset the daily Texas WFB (%∆ = -55 to 130). The alteration of forage TDN had less of an impact on the Texas WFB (%∆ = -39 to 17). An ANOVA with a Tukey Posthoc test indicated that all WFB scenarios were significantly different (P < 0.05) except for the low versus base TDN under low water use conditions scenario. The variability in the use of green and blue waters for grains indicated that the final WFB, in the feedlot phase, may be lower than the WFB in the cow-calf or stocker stages under certain efficiency conditions. Identification of high and low-leverage solutions may help Texas cattle stakeholders implement systemic strategies that aid in the efforts for sustainable beef water use.


2020 ◽  
Vol 237 ◽  
pp. 106184
Author(s):  
Vijaya Subramaniam ◽  
Zulkifli Hashim ◽  
Soh Kheang Loh ◽  
Abdul Aziz Astimar

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