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A novel approach for assessing fog collection efficiency using hydrophobic surfaces

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F25%3A00013668" target="_blank" >RIV/46747885:24210/25:00013668 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24410/25:00013668 RIV/46747885:24620/25:00013668

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0960077925006381?pes=vor&utm_source=scopus&getft_integrator=scopus" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0960077925006381?pes=vor&utm_source=scopus&getft_integrator=scopus</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.chaos.2025.116625" target="_blank" >10.1016/j.chaos.2025.116625</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A novel approach for assessing fog collection efficiency using hydrophobic surfaces

  • Original language description

    Fog harvesting is an emerging technology for harnessing atmospheric moisture, particularly in arid regions facing water scarcity. This study presents the development and validation of a novel measurement system designed to accurately quantify fog water collection efficiency using textile-based fog collection elements (FCEs). A specialized evaluation setup was designed to improve the precision and reproducibility of water capture measurements under controlled fog simulation conditions. The system enables real-time measurement of water accumulation on various fibrous collectors, including hydrophobic polyester monofilaments, multifilaments, and spun yarns, allowing for comparative performance assessments. The proposed measurement approach addresses limitations in existing techniques by minimizing droplet loss, ensuring consistent air-fog flow conditions, and enhancing data acquisition reliability. Results demonstrated that hydrophobic surfaces facilitated improved water collection efficiency compared to untreated polyester. Additionally, spun yarns with surface hairiness exhibited enhanced droplet capture capacity compared to smooth monofilaments and multifilaments, owing to increased active collection sites. The study highlights the significance of accurate measurement methods in fog harvesting research and provides a validated system adaptable for evaluating diverse materials and configurations. This measurement approach can serve as a standard framework for optimizing fog harvesting technologies and supporting the development of water collection solutions in resource-scarce regions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10300 - Physical sciences

Result continuities

  • Project

    <a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Chaos, Solitons and Fractals>

  • ISSN

    0960-0779

  • e-ISSN

  • Volume of the periodical

    198

  • Issue of the periodical within the volume

    SEP

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001499516800001

  • EID of the result in the Scopus database

    2-s2.0-105005583680