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The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Water harvesting from soils by light-to-heat induced evaporation and capillary water migration

Open access
Li, Xiaotian, Zhang, Guang, Wang, Chao, He, Lichen, Xu, Yantong, Ma, Rong, Yao, Wei·2020·Applied Thermal Engineering

Abstract

Fresh water scarcity is one of the critical challenges for global sustainable development. Several novel water resources such as passive seawater solar desalination and atmospheric water harvesting have made some progress in recent years. However, no investigation has referred to harvesting water from shallow subsurface soils, which are potential huge water reservoirs. Here, we introduce a method of solar-driven water harvesting from soils, which can provide cheap fresh water in impoverished, arid and decentralized areas. The concentrated solar energy is used to heat the soils to evaporate the soil moisture. Then vapors flow to the condenser through tubes and condense as freshwater. Sustainable water harvesting is realized by water migration due to capillary pumping effect within soils. In the laboratory condition, an experimental setup is designed and its water-harvesting ability from soils is investigated. The maximum water mass harvesting rate was 99.8 g h-1. In about 12 h, the total harvesting water could be as high as about 900 ml. The whole process is solar-driven and spontaneous without other mechanical or electrical ancillaries. The water harvesting rate under one sun energy flux (1 kW m-2) is estimated to be about 360 g h-1 with a 1 m2 solar concentrator. Our proposal provides a potential onsite and sustainable fresh water supply solution to deal with the water scarcity problem.

Overview

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Crossref · 10.1016/j.applthermaleng.2020.115417

Cites

35 of 35 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 34 references

Research works printed but not linked: 1

  1. Wang, 2015, Experimental study of heat and moisture migration in unsaturated soils under thermal boundaries, Electron. J. Geotech. Eng., 20, 221

Cited by

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Metadata

Authors
Li, X., Zhang, G., Wang, C., He, L., Xu, Y., Ma, R., & Yao, W.
Affiliations
China Academy of Space Technology (CN)
Corresponding author
Yao, Wei
Venue
Applied Thermal Engineering
Publisher
Elsevier BV
Published
2020-07
Volume
175
Pages
115417
ISSN
1359-4311 (ISSN-L)
OpenAlex
W3022908398
Cited by
25
References
34
Citations by year
2026: 4 · 2025: 9 · 2024: 5 · 2023: 3 · 2022: 2 · 2021: 2
FWCI
0.34
Type
journal article
Language
en
Open access
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
  • Applied Thermal Engineering (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Natural Science Foundation of China
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar-Powered Water Purification Methods
  • Physical Sciences › Engineering › Mechanical Engineering › Adsorption and Cooling Systems
  • Social Sciences › Arts and Humanities › History › Water management and technologies
Keywords
atmospheric water harvesting, soil moisture, solar evaporation, concentrated solar energy, freshwater supply, arid regions, drinking water quality, energy efficiency, solar concentrators

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CoChat. (2026). Citation check: Water harvesting from soils by light-to-heat induced evaporation and capillary water migration. https://app.cochat.ai/papers/10.1016/j.applthermaleng.2020.115417
The paper
Li, X., Zhang, G., Wang, C., He, L., Xu, Y., Ma, R., & Yao, W. (2020). Water harvesting from soils by light-to-heat induced evaporation and capillary water migration. Applied Thermal Engineering. https://doi.org/10.1016/j.applthermaleng.2020.115417

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.