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Probabilistic evaluation of integrating resource recovery into wastewater treatment to improve environmental sustainability

持续性 环境科学 温室气体 废水 污水处理 环境资源管理 资源回收 资源(消歧) 生命周期评估 废物管理 环境规划 计算机科学 自然资源经济学 业务 环境工程 生产(经济) 环境影响评价 生态学 工程类 生物 宏观经济学 经济 计算机网络
作者
Xu Wang,Perry L. McCarty,Junxin Liu,Nan-Qi Ren,Dong Hoon Lee,Han‐Qing Yu,Yi Qian,Jiuhui Qu
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [National Academy of Sciences]
卷期号:112 (5): 1630-1635 被引量:80
标识
DOI:10.1073/pnas.1410715112
摘要

Global expectations for wastewater service infrastructure have evolved over time, and the standard treatment methods used by wastewater treatment plants (WWTPs) are facing issues related to problem shifting due to the current emphasis on sustainability. A transition in WWTPs toward reuse of wastewater-derived resources is recognized as a promising solution for overcoming these obstacles. However, it remains uncertain whether this approach can reduce the environmental footprint of WWTPs. To test this hypothesis, we conducted a net environmental benefit calculation for several scenarios for more than 50 individual countries over a 20-y time frame. For developed countries, the resource recovery approach resulted in ∼154% net increase in the environmental performance of WWTPs compared with the traditional substance elimination approach, whereas this value decreased to ∼60% for developing countries. Subsequently, we conducted a probabilistic analysis integrating these estimates with national values and determined that, if this transition was attempted for WWTPs in developed countries, it would have a ∼65% probability of attaining net environmental benefits. However, this estimate decreased greatly to ∼10% for developing countries, implying a substantial risk of failure. These results suggest that implementation of this transition for WWTPs should be studied carefully in different temporal and spatial contexts. Developing countries should customize their approach to realizing more sustainable WWTPs, rather than attempting to simply replicate the successful models of developed countries. Results derived from the model forecasting highlight the role of bioenergy generation and reduced use of chemicals in improving the sustainability of WWTPs in developing countries.

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