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Assessing global drinking water potential from electricity-free solar water evaporation device.

Wei ZhangYongzhe ChenQinghua JiYuying FanGong ZhangXi LuChengzhi HuHuijuan LiuJiuhui Qu
Published in: Nature communications (2024)
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 m 2 ) 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.
Keyphrases
  • drinking water
  • health risk
  • health risk assessment
  • machine learning
  • healthcare
  • risk assessment
  • artificial intelligence
  • climate change
  • genetic diversity