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Calculation of water footprint of the iron and steel industry: a case study in Eastern China

TLDR
Wang et al. as mentioned in this paper proposed the use of water footprint instead of conventional indicators (fresh water consumption per tonne of steel or water consumption (WC) per tonme of steel) for the iron and steel industry.
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This article is published in Journal of Cleaner Production.The article was published on 2015-04-01 and is currently open access. It has received 104 citations till now. The article focuses on the topics: Water environment & Water use.

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Citations
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Environmental efficiency analysis of China's regional industry: a data envelopment analysis (DEA) based approach

TL;DR: In this paper, the authors make environmental efficiency analysis of China's regional industry using data from 2008 to 2012, and the results show that apart from several developed provinces, the environmental efficiencies of the regions did not show any increasing trend through the past 5 years.
Journal ArticleDOI

Water Footprint Assessment: Evolvement of a New Research Field

TL;DR: A review of the evolution of water footprint assessment (WFA) as a new research field over the past fifteen years can be found in this paper, where the authors reflect on the main issues of debate.
Journal ArticleDOI

A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing

TL;DR: In this paper, a comprehensive overview of the worldwide carbon reduction programs and new CO2 breakthrough technologies for energy saving and carbon capture and storage in iron and steel making processes by collating updated information from a wide range of sources is presented.
Journal ArticleDOI

The environmental impacts of iron and steel industry: a life cycle assessment study

TL;DR: In this paper, the authors conducted a life cycle assessment for iron and steel production in Turkey using SimaPro software and IMPACT 2002+ impact assessment method with the purpose of comparing the impacts of processes (coke making, sintering, iron making, steel making) and final products (billet, slab, hot-rolled wire rod, hot rolled coil), concurrently.
Journal ArticleDOI

Sustainability evaluation of a steel production system in China based on emergy

TL;DR: Wang et al. as mentioned in this paper adopted an improved emergy based method and a set of indicator system to evaluate the sustainability of steel production enterprises, in which dilution method, disability adjusted life years (DALY) method and potentially disappeared fraction (PDF) method were integrated into classic emergy analysis to quantify the impact of emissions, and then the related indicator system characterizing the industrial production process.
References
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Journal ArticleDOI

A Global Assessment of the Water Footprint of Farm Animal Products

TL;DR: In this paper, the authors provided a comprehensive account of the water footprint of animal products, considering different production systems and feed composition per animal type and country, and showed that from a freshwater perspective, animal products from grazing systems have a smaller blue and grey water footprint than products from industrial systems, and that it is more water efficient to obtain calories, protein and fat through crop products than animal products.
Journal ArticleDOI

The water footprint of bioenergy

TL;DR: If a shift toward a greater contribution of bioenergy to energy supply takes place, the results of this study can be used to select the crops and countries that produce bioenergy in the most water-efficient way.
Journal ArticleDOI

The water footprint of energy from biomass: A quantitative assessment and consequences of an increasing share of bio-energy in energy supply

TL;DR: In this paper, the authors assess the water footprint of different primary energy carriers derived from biomass expressed as the amount of water consumed to produce a unit of energy (m3/GJ).
Journal ArticleDOI

Life-cycle uses of water in U.S. electricity generation

TL;DR: In this paper, the authors reviewed previous studies of water use in electricity generation and used full-life cycle accounting to evaluate water demand factors, both withdrawal and consumption, for conventional-and renewable-electrical power plants.
Related Papers (5)
Frequently Asked Questions (16)
Q1. What contributions have the authors mentioned in the paper "Calculation of water footprint of the iron and steel industry: a case study in eastern china" ?

Gao et al. this paper proposed the concept of virtual water as a measure of water footprint to assess the pressure on water resources and water risk of the iron and steel industry. 

When there 235 are water shortages or water is seriously polluted, enterprises may face physical 236 risk, which consists of water quantity risk and water quality risk. 

481 For the gray water footprint assessment, the discharged water quality is the 482 most sensitive factor because gray water footprint is classified as the amount of 483 water required to dilute pollutants that have been discharged into the natural 484 water system such that the quality of ambient water remains above the 485M ANUS CRIP TAC CEPT ED24established water quality standards. 

Considering the fact that China is facing a critical water 435 crisis, the water footprint evaluation of its iron and steel industry is useful in 436 conserving scarce water resources. 

In water risk 237 assessment, water footprint is a useful tool, and three major parts are involved: 238 water footprint calculation, water risk assessment and water risk management. 

It’s reported that the 386 amount of blue water (surface water and groundwater) in the city where the iron 387 and steel enterprise used in this study is located is 61×108 m3 in 2011 (Zhejiang 388 Provincial Water Resources Bureau, 2011). 

They studied the life cycle water withdrawals, 204 consumptive water use, and wastewater discharge of China’s regional energy 205 sectors by using a mixed-unit multiregional input-output (MRIO) model. 

From the case study, it is clear that 403 reducing the virtual water footprint is key to reducing the blue water footprint, 404 particularly from electricity consumption. 

The 333 reason attributed to the disparity of ratios of gray water footprint to blue water 334 footprint is the high-concentration of specific industrial wastewater discharged 335 from the steelworks enterprise. 

For the selected iron and steel factory the blue water (total WC) footprint was 490 2.44 × 107 m3 and the gray water footprint was 6.5 × 108 m3 in 2011. 

For 304 the selected steelworks enterprise, the total WC (blue water) footprint is 305 2.44× 107 m3 and total water pollution (gray water) footprint is 6.5 × 108 m3. 

As 116 opposed to FWC per tonne of steel or WC per tonne of steel, the water footprints 117 are proposed as indicators of water impact for the iron and steel industry 118 because they comprehensively evaluate water risk factors and are much better 119 indicators for attaining a cleaner and sustainable production. 

The water footprint associated with the various 134 steps in the production system can be entirely attributed to the product that 135 results from a system. 

It is important for the enterprise to collect 486 accurate water quality data and discharge flows to better estimate the gray water 487 footprint. 

In addition, LCA-based water footprints, which 107 consider WC and water pollution in the whole product life cycle, are difficult to 108 calculate because of limited data availability. 

WC per tonne of steel denotes all the water used in 39 the production of 1 tonne of iron and steel, including recycled and reclaimed 40 water.