WATER FOOTPRINT OF TEXTILE INDUSTRY: A CASE STUDY OF CHINA

2021 ◽  
Vol 20 (2) ◽  
pp. 237-245
Author(s):  
Laili Wang ◽  
Fangli Chen ◽  
Yuelei Shen ◽  
Sisi Liu ◽  
Yiduo Yang
Keyword(s):  
Textile Industry ◽  
Water Footprint

scholarly journals Decoupling Water Consumption and Environmental Impact on Textile Industry by Using Water Footprint Method: A Case Study in China

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 124 ◽  
Author(s):  
Yi Li ◽  
Linyi Lu ◽  
Yingxi Tan ◽  
Laili Wang ◽  
Manhong Shen
Keyword(s):  
Environmental Impact ◽  
Water Consumption ◽  
Textile Industry ◽  
Water Footprint

scholarly journals A CASE STUDY FOR WATER FOOTPRINT ASSESSMENT OF A DENIM PRODUCT

2021 ◽  
Vol 2021 ◽  
pp. 142-147
Author(s):  
V. Sülar ◽  
B. Soy ◽  
K. Yağci
Keyword(s):  
Water Consumption ◽  
Textile Industry ◽  
Human Factor ◽  
Water Footprint ◽  
Functional Unit ◽  
Inventory Analysis ◽  
Huge Amount ◽  
Apparel Production ◽  
Finishing Processes

The awareness of the fact that the leading cause of the bad environmental conditions in our world is the human factor, has been increasing in recent years. This awareness enables people, companies, and organizations to decrease water consumption, to decrease carbon emission, to decrease using harmful chemicals, consequently people who are aware of global warming and depletion of resources are taking actions to save our planet for a sustainable life. Textile is one of the big sectors affecting the environmental pollution in a very bad way. For that reason, the present water footprint research was conducted on textiles and a denim company was especially chosen to examine the water footprint because of denim sector’s being one of the biggest polluters and wasting water in a huge amount in the textile industry. Firstly, the limits of the research were obtained as finishing operations under the scope of water footprint. The production steps and wastewater occurring points were obtained carefully for different denim finishing processes. After that stage, personal water consumption during denim apparel production was examined in detail. To create a good inventory analysis, many meetings were performed, and a survey was prepared to collect the data about wastewater of the company. By the help of this water footprint evaluation, the processes that create the most wastewater and the distribution of water footprint according to processes and other sources that cause water consumption were determined for one pair of denim trouser accepted as a functional unit in the context of the research.

scholarly journals Water footprint assessment of gold refining: Case study based on life cycle assessment

2021 ◽  
Vol 122 ◽  
pp. 107319
Author(s):  
Wei Chen ◽  
Jinglan Hong ◽  
Chengxin Wang ◽  
Lu Sun ◽  
Tianzuo Zhang ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Water Footprint ◽  
Gold Refining

scholarly journals Assessment of national water footprint versus water availability - Case study for Egypt

2021 ◽  
Vol 60 (4) ◽  
pp. 3577-3585
Author(s):  
Mohamed ElFetyany ◽  
Hanan Farag ◽  
Samah H. Abd El Ghany
Keyword(s):  
Water Availability ◽  
Water Footprint ◽  
National Water

A Case Study of Innovations at the Xiqiao Textile Industry Cluster

2010 ◽  
Vol 42 (3) ◽  
pp. 28-43 ◽  
Author(s):  
Yu Yonghui ◽  
Qiu Haixiong ◽  
Cui Qiang
Keyword(s):  
Textile Industry ◽  
Industry Cluster

scholarly journals Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt

2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Agricultural Land ◽  
Optimal Allocation ◽  
Water Footprint ◽  
Agricultural Water ◽  
Land Area ◽  
Lexicographic Optimization ◽  
The Impact

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.

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