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A Standardized Stoichiometric Life-Cycle Inventory for Enhanced Specificity in Environmental Assessment of Sewage Treatment

机译:标准化的化学计量生命周期清单,可提高污水处理环境评估的特异性

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摘要

In recent years, many life-cycle assessments (LCAs) have been applied to the field of sewage treatment (ST). However, most LCAs lack systematic data collection (DC) and processing methods for inventories of conventional ST (CST), much less for recently developed technologies. In addition, the use of site-generic databases results in LCAs that lack the representativeness and understanding of the regional environmental impacts and trade-offs between different impact categories, especially nutrient enrichment and toxicity-related categories. These shortcomings make comparative evaluation and implementation more challenging. In order to assist in the decision-making process, a novel stoichiometric life-cycle inventory (S-LCI) for ST was developed. In the S-LCI, biochemical pathways derived from elemental analyses combined with process-engineering calculations enable steady-state comparison of the water, air, and soil emissions of any sewage and sludge sample treated through the ST configurations analyzed herein. The DC required for the estimation of the foreground data for a CST is summarized in a 41-item checklist. Moreover, the S-LCI was validated for CST by comparing the S-LCI with actual ST plant operations performed in Hong Kong. A novel energy-derived ST inventory is developed and compared here with the CST. The resulting inventories are ready to be integrated into the SimaPro software for life cycle impact assessment as illustrated by the case study. Using the S-LCI not only helps to standardize the DC and processing, but it also enhances the level of specificity by using sample characterization and site-specific data. The EcoInvent database, which contains a single sample characterization per Swiss and global average ST plant class could be expanded by using the S-LCI.
机译:近年来,许多生命周期评估(LCA)已应用于污水处理(ST)领域。但是,大多数LCA缺乏常规ST库存(CST)的系统数据收集(DC)和处理方法,而最近开发的技术则少得多。此外,使用现场通用数据库导致LCAs缺乏代表性和对区域环境影响以及不同影响类别(尤其是营养富集和毒性相关类别)之间的权衡取舍的理解。这些缺点使比较评估和实施更具挑战性。为了协助决策过程,开发了用于ST的新型化学计量生命周期清单(S-LCI)。在S-LCI中,通过元素分析与过程工程计算相结合得出的生化途径可以对通过本文分析的ST配置处理的任何污水和污泥样品的水,空气和土壤排放物进行稳态比较。估计CST前景数据所需的DC汇总在41个项目的清单中。此外,通过将S-LCI与在香港执行的实际ST工厂操作进行比较,对S-LCI进行了CST验证。开发了新颖的能源衍生的ST库存,并将其与CST进行了比较。如案例研究所示,可以将生成的清单集成到SimaPro软件中,以进行生命周期影响评估。使用S-LCI不仅有助于标准化DC和处理,还可以通过使用样品表征和特定于地点的数据来提高特异性水平。可以通过使用S-LCI扩展EcoInvent数据库,该数据库包含每个瑞士和全球平均ST工厂类别的单个样本特征。

著录项

  • 来源
    《Environmental Science & Technology》 |2019年第9期|5111-5123|共13页
  • 作者单位

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China;

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China;

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China;

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China;

    Natl Inst Adv Ind Sci & Technol, Bioprod Res Inst, Tsukuba, Ibaraki 3058566, Japan;

    Hong Kong Polytech Univ, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China;

    Imperial Coll London, Dept Civil & Environm Engn, London SW7 2AZ, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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