TY - JOUR
T1 - Establishing a decision-support system for eco-design of biological wastewater treatment
T2 - A case study of bioaugmented constructed wetland
AU - Zhao, Xinyue
AU - Bai, Shunwen
AU - Zhang, Xuedong
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Deep treatment is a common approach to enhance pollutant removal for biological wastewater treatment technologies (BWTTs), and life cycle assessment (LCA) holds substantial advantages to support process optimization. However, there lacks of LCA-based benchmarks that cover human-nature nexuses and stakeholder involvement, which limits the guidance and eco-design of BWTTs. This study proposed a decision-support system (DSS) by linking LCA with Water Quality Model and Conjoint Analysis. Three major findings were identified based on a demonstrative case (constructed wetland bioaugmented by dosing different microbial inocula): (1) Increasing bacterial intensities would achieve net environmental improvement, but it might not apply to all cases; (2) Making full use of natural self-purification capacity could partly replace the functions of BWTTs; (3) Stakeholders would concern aquatic environmental improvement when receiving river that had limited environmental capacity. Overall, the DSS provided a data-driven platform for screening options before determinations were made to constrain wastewater treatment sustainability.
AB - Deep treatment is a common approach to enhance pollutant removal for biological wastewater treatment technologies (BWTTs), and life cycle assessment (LCA) holds substantial advantages to support process optimization. However, there lacks of LCA-based benchmarks that cover human-nature nexuses and stakeholder involvement, which limits the guidance and eco-design of BWTTs. This study proposed a decision-support system (DSS) by linking LCA with Water Quality Model and Conjoint Analysis. Three major findings were identified based on a demonstrative case (constructed wetland bioaugmented by dosing different microbial inocula): (1) Increasing bacterial intensities would achieve net environmental improvement, but it might not apply to all cases; (2) Making full use of natural self-purification capacity could partly replace the functions of BWTTs; (3) Stakeholders would concern aquatic environmental improvement when receiving river that had limited environmental capacity. Overall, the DSS provided a data-driven platform for screening options before determinations were made to constrain wastewater treatment sustainability.
KW - Bioaugmentation
KW - Biological wastewater treatment
KW - Decision support system
KW - Eco-design
KW - Life cycle assessment
UR - http://www.scopus.com/inward/record.url?scp=85058177388&partnerID=8YFLogxK
U2 - 10.1016/j.biortech.2018.12.016
DO - 10.1016/j.biortech.2018.12.016
M3 - Article
AN - SCOPUS:85058177388
SN - 0960-8524
VL - 274
SP - 425
EP - 429
JO - Bioresource Technology
JF - Bioresource Technology
ER -