碳足迹
用水
能源消耗
足迹
服装
电
环境科学
数据收集
消费(社会学)
缺水
计算机科学
环境经济学
温室气体
统计
工程类
数学
水资源
地理
经济
生态学
电气工程
社会学
社会科学
考古
生物
作者
Yuan Yuan,Yan‐Ling Luo,Shuaitong Liang,Yan Li,Hongjian Qu,Xuemei Ding,Jiping Wang
标识
DOI:10.1177/00405175221137739
摘要
The consumer use phase of textiles and fashion contributes one-third to the carbon and water footprint, which is the highest for the life cycle assessment technique. However, it is only estimated by questionnaire or estimated data. We carried out a 180-day direct data tracking for three volunteer families with different demographic characteristics. The results show that consumer behaviors significantly influence the carbon and water scarcity footprint. Moreover, the uncertainty between the test data and the energy label estimated data is revealed. For family 1, the energy label-based electricity consumption carbon footprint is 0.57 kgCO 2 e, while the empirical data result is 2.79 kgCO 2 e. We proposed an improved carbon footprint evaluation method with the correction parameters, which can be estimated using the sampling data from the customers. The results show that applying actual data collection and building a database is necessary to reduce the astonishing errors, making error analysis possible and meaningful.
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