Adhesion theory and model for air humidity impact on dust emission
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Citation
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Identification
| Title: | Main Title: Adhesion theory and model for air humidity impact on dust emission |
| Description: | Abstract: It has been suggested that air humidity influences dust emission under very dry conditions and adhesion might be the responsible process which changes the binding between soil particles. The process of adhesion is so far poorly understood and difficult to quantify. Here, a critical examination of the relevant studies is provided, and an adhesion model is proposed. Both isothermal-kinematic and diffusion processes can limit the soil liquid–water and water–vapor exchange in soil, but for the particle size range concerned in aeolian studies, diffusion appears to be the limiting process. The model shows that soil moisture in the topsoil layers is positively correlated with air humidity, but with delays of several hours. The model performance is influenced by several parameters but is particularly sensitive to the equilibrium soil water–vapor content. This implies that soil microscopic properties can strongly influence adhesion. A new formulation of soil water retention function covering the entire soil moisture range is also proposed, which links soil water retention function and pore size distribution. Using a relationship between soil particle-size and pore-size distributions, an adhesion-affected grain size can be estimated, which defines the upper size limit of soil particles influenced by soil moisture. This study explains how air humidity influences soil moisture through adhesion and dust emission and why low air humidity promotes the emission of finer dust particles. |
Responsible Party
| Creator: | Yaping Shao (Author) |
| Publisher: | https://doi.org/10.1016/j.aeolia.2024.100898 |
| Publication Year: | 2024 |
Topic
| CRC1211 Topic: | Surface |
| Related Subproject: | A3 |
| Subject: | Keyword: Humidity |
| Geogr. Information Topic: | Climatology/Meteorology/Atmosphere |
File Details
| Filename: | Shao_2024AR_Moist.pdf |
| Data Type: | Text - paper |
| File Size: | 4 MB |
| Date: | Available: 06.06.2024 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Free |
| General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
| Access Limitations: | According to the CRC1211DB data policy agreement. |
| Licence: | None |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Aeolian Research |
| Volume: | 66 |
| Number of Pages: | 1 (32767 - 32767) |
Metadata Details
| Metadata Creator: | Yaping Shao |
| Metadata Created: | 06.06.2024 |
| Metadata Last Updated: | 06.06.2024 |
| Subproject: | A3 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 27 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 0 |
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