Abstract

Universal and equitable access to affordable safely managed drinking water (SMDW) is a significant challenge and is highlighted by the United Nations’ Sustainable Development Goals-6.1. However, SMDW coverage by 2030 is estimated to reach only 81% of the global population. Solar water evaporation (SWE) represents one potential method to ensure decentralized water purification, but its potential for addressing the global SMDW challenge remains unclear. We use a condensation-enhanced strategy and develop a physics-guided machine learning model for assessing the global potential of SWE technology to meet SMDW demand for unserved populations without external electricity input. We find that a condensation-enhanced SWE device (1 m2) can supply enough drinking water (2.5 L day−1) to 95.8% of the population lacking SMDW. SWE can help fulfill universal SMDW coverage by 2030 with an annual cost of 10.4 billion U.S. dollars, saving 66.7% of the current investment and fulfilling the SDG-6.1 goal.

Solar water evaporation is regarded as a promising toolset for decentralized drinking water purification. This study predicts the global drinking water supply potential via solar water evaporation, highlighting where and how to promote solar evaporation devices to fulfill the United Nations Sustainable Development Goal 6.1 with reasonable costs.

Details

Title
Assessing global drinking water potential from electricity-free solar water evaporation device
Author
Zhang, Wei 1   VIAFID ORCID Logo  ; Chen, Yongzhe 2   VIAFID ORCID Logo  ; Ji, Qinghua 3   VIAFID ORCID Logo  ; Fan, Yuying 4 ; Zhang, Gong 3   VIAFID ORCID Logo  ; Lu, Xi 3   VIAFID ORCID Logo  ; Hu, Chengzhi 5   VIAFID ORCID Logo  ; Liu, Huijuan 3 ; Qu, Jiuhui 1   VIAFID ORCID Logo 

 Tsinghua University, Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); Chinese Academy of Sciences, Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
 The University of Hong Kong, Department of Geography, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000 0001 2174 2757) 
 Tsinghua University, Center for Water and Ecology, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Chinese Academy of Sciences, Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); Northeast Normal University, School of Environment, Changchun, China (GRID:grid.27446.33) (ISNI:0000 0004 1789 9163) 
 Chinese Academy of Sciences, Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
Pages
6784
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3090746521
Copyright
© The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.