@article{qianwen_comprehensive_2024,
	title = {Comprehensive assessment methods of environmental impacts during textile production},
	volume = {75},
	issn = {12225347},
	url = {http://revistaindustriatextila.ro/images/2024/2/005%20HUANG%20QIANWEN%20INDUSTRIA%20TEXTILA%20no.2_2024.pdf},
	doi = {10.35530/IT.075.02.20238},
	abstract = {As an important part of textile production, the dyeing process not only makes the greatest contribution to water
consumption and wastewater discharge, but its use of synthetic dyestuffs has a negative impact on all forms of life. To
assess the environmental impact of textile production, it is necessary to assess the environmental impact of the dyeing
process. Comprehensive assessment methods can convert multi-dimensional environmental impacts into unified
quantitative indicators and enable comparisons between different products or environmental impact categories. In this
study, five comprehensive assessment methods (i.e., ReCiPe, Eco-Indicator 99, Nike MSI, Environmental Price, and
Environmental Profit \& Loss) were applied to evaluate the environmental impact of the cotton fabric dyeing process.
Furthermore, a preliminary assessment framework was constructed which could provide a reference for industry experts
to establish uniform environmental assessment standards. The results indicate that diverse methods are recommended
to be applied in parallel to analyse the environmental impact of textile products, and the use of individual comprehensive
environmental assessment methods has its limitations and characteristics. Among the five methods, the ReCiPe method
stands out as one of the most advanced LCA methodologies with the widest range of midpoint impact categories and a
global-scale calculation mechanism. The scoring method offers sufficient possibilities to compare the severity of different
environmental impacts caused by the dyeing process, and the monetary value model can be used as a more intuitive
tool to characterize environmental impact no matter from the midpoint or endpoint.},
	number = {02},
	urldate = {2024-05-15},
	journal = {Industria Textila},
	author = {Qianwen, Huang and Cai, Hao and Can, Liu and Xin, Li and Lisha, Zhu and Laili, Wang},
	month = apr,
	year = {2024},
	pages = {157--163},
}