{"title":"大气表层风沙的主要物理统计表示","authors":"Tian-Li Bo, Si-Jiang Liu","doi":"10.1007/s10035-025-01544-5","DOIUrl":null,"url":null,"abstract":"<div><p>The streamwise and vertical wind speed fluctuations predicted by a multi-scale wind speed fluctuation prediction model were introduced into a one-dimensional windblown sand model to simulate windblown sand under different friction velocities and particle sizes. And the scaling relation of major physical statistics was studied. Our results show that the mean and standard deviation of sand transport rate and average saltation velocity are proportional to <i>u</i><sub>*</sub><sup>3</sup>/<i>g</i>. The mean and standard deviation of average saltation length are proportional to<i> u</i><sub>*</sub><sup>2</sup>/<i>g</i>. The mean and standard deviation of speed and angle distribution of lift-off sand particles over time also need to consider friction velocity (<i>u</i><sub>*</sub>) and particle size. Here, <i>g</i> represents the gravitational acceleration. Empirical representations of mean and standard deviation of these five statistics were obtained based on the scaling relation, and the variations of coefficients with dimensionless particle size were mainly considered. Empirical representations provide a basis for simulating windblown sand over a large spatial range and introducing turbulent motions in the study of aeolian landforms.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div><div><p>Distribution of the mean of lift-off speed under different frictional wind speeds.</p></div></div></figure></div></div>","PeriodicalId":49323,"journal":{"name":"Granular Matter","volume":"27 3","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Representations of major physical statistics of windblown sand in the atmospheric surface layer\",\"authors\":\"Tian-Li Bo, Si-Jiang Liu\",\"doi\":\"10.1007/s10035-025-01544-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The streamwise and vertical wind speed fluctuations predicted by a multi-scale wind speed fluctuation prediction model were introduced into a one-dimensional windblown sand model to simulate windblown sand under different friction velocities and particle sizes. And the scaling relation of major physical statistics was studied. Our results show that the mean and standard deviation of sand transport rate and average saltation velocity are proportional to <i>u</i><sub>*</sub><sup>3</sup>/<i>g</i>. The mean and standard deviation of average saltation length are proportional to<i> u</i><sub>*</sub><sup>2</sup>/<i>g</i>. The mean and standard deviation of speed and angle distribution of lift-off sand particles over time also need to consider friction velocity (<i>u</i><sub>*</sub>) and particle size. Here, <i>g</i> represents the gravitational acceleration. Empirical representations of mean and standard deviation of these five statistics were obtained based on the scaling relation, and the variations of coefficients with dimensionless particle size were mainly considered. Empirical representations provide a basis for simulating windblown sand over a large spatial range and introducing turbulent motions in the study of aeolian landforms.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div><div><p>Distribution of the mean of lift-off speed under different frictional wind speeds.</p></div></div></figure></div></div>\",\"PeriodicalId\":49323,\"journal\":{\"name\":\"Granular Matter\",\"volume\":\"27 3\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Granular Matter\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10035-025-01544-5\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Granular Matter","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10035-025-01544-5","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representations of major physical statistics of windblown sand in the atmospheric surface layer
The streamwise and vertical wind speed fluctuations predicted by a multi-scale wind speed fluctuation prediction model were introduced into a one-dimensional windblown sand model to simulate windblown sand under different friction velocities and particle sizes. And the scaling relation of major physical statistics was studied. Our results show that the mean and standard deviation of sand transport rate and average saltation velocity are proportional to u*3/g. The mean and standard deviation of average saltation length are proportional to u*2/g. The mean and standard deviation of speed and angle distribution of lift-off sand particles over time also need to consider friction velocity (u*) and particle size. Here, g represents the gravitational acceleration. Empirical representations of mean and standard deviation of these five statistics were obtained based on the scaling relation, and the variations of coefficients with dimensionless particle size were mainly considered. Empirical representations provide a basis for simulating windblown sand over a large spatial range and introducing turbulent motions in the study of aeolian landforms.
Graphical abstract
Distribution of the mean of lift-off speed under different frictional wind speeds.
期刊介绍:
Although many phenomena observed in granular materials are still not yet fully understood, important contributions have been made to further our understanding using modern tools from statistical mechanics, micro-mechanics, and computational science.
These modern tools apply to disordered systems, phase transitions, instabilities or intermittent behavior and the performance of discrete particle simulations.
>> Until now, however, many of these results were only to be found scattered throughout the literature. Physicists are often unaware of the theories and results published by engineers or other fields - and vice versa.
The journal Granular Matter thus serves as an interdisciplinary platform of communication among researchers of various disciplines who are involved in the basic research on granular media. It helps to establish a common language and gather articles under one single roof that up to now have been spread over many journals in a variety of fields. Notwithstanding, highly applied or technical work is beyond the scope of this journal.