Novel perspective for urban water resource management: 5R generation

Lijie Zhou, Hongwu Wang, Zhiqiang Zhang, Jian Zhang, Hongbin Chen, Xuejun Bi, Xiaohu Dai, Siqing Xia, Lisa Alvarez-Cohen, Bruce E. Rittmann

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Front. Environ. Sci. Eng. ›› 2021, Vol. 15 ›› Issue (1) : 16. DOI: 10.1007/s11783-020-1308-z
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Novel perspective for urban water resource management: 5R generation

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Highlights

5R (Recover, Reduce, Recycle, Resource and Reuse) approaches to manage urban water.

5R harvests storm water, gray water and black water in several forms.

5R offers promise for moving solutions for urban water scarcity in practice.

Abstract

Demand for water is expanding with increases in population, particularly in urban areas in developing countries. Additionally, urban water system needs a novel perspective for upgradation with urbanization. This perspective presents a novel 5R approach for managing urban water resources: Recover (storm water), Reduce (toilet flushing water), Recycle (gray water), Resource (black water), and Reuse (advanced-treated wastewater). The 5R generation incorporates the latest ideas for harvesting storm water, gray water, and black water in its several forms. This paper has briefly demonstrated each R of 5R generation for water treatment and reuse. China has the chance to upgrade its urban water systems according to 5R principles. Already, a demonstration project of 5R generation has been installed in Qingdao International Horticultural Exposition, and Dalian International Convention Center (China) has applied 5R, achieving over 70% water saving. The 5R offers promise for moving solutions for urban water scarcity from “hoped for in the future” to “realistic today”.

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Keywords

5R generation / Recover / Reduce / Recycle / Resource / Reuse

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Lijie Zhou, Hongwu Wang, Zhiqiang Zhang, Jian Zhang, Hongbin Chen, Xuejun Bi, Xiaohu Dai, Siqing Xia, Lisa Alvarez-Cohen, Bruce E. Rittmann. Novel perspective for urban water resource management: 5R generation. Front. Environ. Sci. Eng., 2021, 15(1): 16 https://doi.org/10.1007/s11783-020-1308-z

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Acknowledgements

This study was funded by the National Key Research and Development Program of China (No. 2017YFC0403400). The authors declare that the publication of this paper presents no conflicts of interest. All present affiliations of all authors are indicated.

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