Water consumption assessment in Asian chemical industries supply chains based on input–output analysis and one-way analysis of variance

Shafiei, Mahboobe; Moosavirad, Seyed Hamed; Azimifard, Arezoo; Biglari, Shirin

doi:10.1007/s11356-020-07707-6

Cited by 5 publications

(2 citation statements)

References 104 publications

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“…where x i is the total output of sector i, z ij is the amount of goods i that sector j consumes, and fd i is the final demand of sector i. Solid waste intensity is then introduced to transform the monetary IOM into PIOM as follows [28,29]:…”

Section: Physical Input-output Modelmentioning

confidence: 99%

A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

Liu

Huang

et al. 2021

Sustainability

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Effective management of an urban solid waste system (USWS) is crucial for balancing the tradeoff between economic development and environment protection. A factorial ecological-extended physical input-output model (FE-PIOM) was developed for identifying an optimal urban solid waste path in an USWS. The FE-PIOM integrates physical input-output model (PIOM), ecological network analysis (ENA), and fractional factorial analysis (FFA) into a general framework. The FE-PIOM can analyze waste production flows and ecological relationships among sectors, quantify key factor interactions on USWS performance, and finally provide a sound waste production control path. The FE-PIOM is applied to managing the USWS of Fujian Province in China. The major findings are: (i) waste is mainly generated from primary manufacturing (PM) and advanced manufacturing (AM), accounting for 30% and 38% of the total amount; (ii) AM is the biggest sector that controls the productions of other sectors (weight is from 35% to 50%); (iii) the USWS is mutualistic, where direct consumption coefficients of AM and PM are key factors that have negative effects on solid waste production intensity; (iv) the commodity consumption of AM and PM from other sectors, as well as economic activities of CON, TRA and OTH, should both decrease by 20%, which would be beneficial to the sustainability of the USWS.

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Section: Physical Input-output Modelmentioning

confidence: 99%

A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

Liu

Huang

et al. 2021

Sustainability

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“…The gap between the water resources and the demand is steadily increasing due to the rapid industrialization and urbanization [17]. At this moment, it is highly imperious to study the aspect of water conservation with strict chemistry control being adhered simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Assessing the factors affecting the water chemistry parameters in the auxiliary water system of a nuclear power plant

et al. 2020

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Cooling towers are used as a final heat sink which cools the reactor auxiliary systems and transfers the heat energy to the atmosphere. The reliability endowed upon the cooling tower operation in a nuclear power plant is considerably high when compared to other power plants since the proper functioning of auxiliary systems is crucial for the decay heat removal from the core. Hence, appropriate chemistry control is mandatory in the operation of cooling towers for corrosion control, scale prevention, and control of biological growth. The operating data and water chemistry parameters like conductivity, turbidity, free residual chlorine, pH, cycles of concentration, chlorides, hardness, and alkalinity are analyzed for a typical nuclear power plant. The effect of the individual water quality parameter is correlated by the Pearson matrix to find its influence on the system water chemistry parameter. It is observed that the build-up of chloride ions in the cooling water is the major contributing factor for the cooling tower feed and bleed operations. The aspect of reducing the feed and bleed operation is analyzed, and suitable modifications are suggested to reduce water consumption.

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A Framework for Life Cycle Inventory Modeling of Chemical Substances in the Footwear and Apparel Industry

Dulmen

Wammes

Ahmed

et al. 2023

Textile Science and Clothing Technology

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Water consumption assessment in Asian chemical industries supply chains based on input–output analysis and one-way analysis of variance

Cited by 5 publications

References 104 publications

A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

A Factorial Ecological-Extended Physical Input-Output Model for Identifying Optimal Urban Solid Waste Path in Fujian Province, China

Assessing the factors affecting the water chemistry parameters in the auxiliary water system of a nuclear power plant

A Framework for Life Cycle Inventory Modeling of Chemical Substances in the Footwear and Apparel Industry

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