Aeolian Research最新文献

{"title":"Dust transport pathways from The Great Basin","authors":"Ronald S. Treminio ,&nbsp;Nicholas P. Webb ,&nbsp;Saroj Dhital ,&nbsp;Akasha Faist ,&nbsp;Beth Newingham ,&nbsp;Colby Brungard ,&nbsp;David DuBois ,&nbsp;Brandon L. Edwards ,&nbsp;Emily Kachergis","doi":"10.1016/j.aeolia.2024.100958","DOIUrl":"10.1016/j.aeolia.2024.100958","url":null,"abstract":"<div><div>The Great Basin is at risk of increased wind erosion and dust emissions due to grazing pressure, urbanization, wildfire, and non-native plant invasion. Recent efforts to quantify wind erosion risk on Great Basin rangelands identified high to extreme wind erosion and dust emission hotspots. However, the spatial extent and seasonal variability of dust transport pathways from the Great Basin, and thus the local and regional dust impacts, are not well understood. Here, we computed forward air-parcel trajectories using the Hybrid Single-Particle Lagrangian Integrated Trajectory model using the North American Regional Reanalysis 32-km meteorological data and kernel density analysis to describe potential seasonal dust transport pathways associated with three Great Basin wind erosion hotspots. Probability mass-densities for six different heights above ground level (AGL) were estimated to describe the spatial and vertical extent of potential dust transport across North America. A large proportion of trajectories occurred within 0 – 500 m AGL in spring (25.9 % − 32.7 %), fall (33.6 % − 35.1 %), and winter (44.1 % − 53.8 %). The proportion of trajectories at 2000 – 5000 m AGL is highest in summer (32.1 % − 39.8 %) and spring (23.0 % − 23.3 %). Thus, long range west-to-east transport of dust over North America is likeliest in summer. However, local redistribution of dust near hotspots, is more likely in spring, fall, and winter. This study helps to link potential dust transport pathways to wind erosion hotspots for mitigating the local and regional impacts of dust emissions, informing rangeland management strategies, and improving air quality assessments across North America.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"72 ","pages":"Article 100958"},"PeriodicalIF":3.1,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lagging behind: Impact of non-native gravel within a coastal dune system","authors":"Phillip P. Schmutz ,&nbsp;Tynon Briggs ,&nbsp;Samantha Seals","doi":"10.1016/j.aeolia.2024.100957","DOIUrl":"10.1016/j.aeolia.2024.100957","url":null,"abstract":"<div><div>Recent research has increasingly focused on the intricate relationship between wind dynamics and sediment transport in coastal settings, particularly how surface features affect aeolian transport processes. Non-erodible roughness elements such as gravel or shell deposits play a significant role by altering wind flow and raising the wind velocity threshold required to mobilize sediment. Despite advancements in modeling, fully understanding sediment transport dynamics remains challenging due to the complex interactions between surface features and wind dynamics. This study explores the influence of non-erodible lag surfaces on sediment transport in sandy barrier island environments. Fieldwork on Santa Rosa Island, Florida, involved two plots: one with a natural sandy surface and another with a gravel lag surface. Wind and sediment transport were monitored for three months using cup anemometers and Wenglor particle counters. Spline regression models identified a two-knot system at wind speed thresholds of 9 ms⁻¹ and 11 ms⁻¹, representing critical changes in sediment transport dynamics. Our results show that non-erodible surfaces significantly reduce sediment transport at lower wind speeds. At wind speeds below 9 ms⁻¹, sediment transport on the lag surface was 131 percent lower than on the non-lag surface. However, as wind speeds increased, the influence of the lag surface diminished, and no significant difference in transport was observed at wind speeds above 11 ms⁻¹. These findings emphasize the intricate role of non-erodible elements in reducing sediment transport at lower wind speeds while enhancing transport dynamics under stronger wind conditions. These insights inform future models and guide coastal management practices.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"72 ","pages":"Article 100957"},"PeriodicalIF":3.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining modeling and isotopic signatures to track Aeolian dust from source to sink in the Wasatch Front, Utah, USA","authors":"Zachary Lawless ,&nbsp;Ty Hosler ,&nbsp;Bradley R. Adams ,&nbsp;Gregory T. Carling","doi":"10.1016/j.aeolia.2024.100954","DOIUrl":"10.1016/j.aeolia.2024.100954","url":null,"abstract":"<div><div>Dust events are tracked from source to sink using geochemical/isotopic tracers, dust emission and transport modeling, or remote sensing, but these tools are rarely used together. To test the utility of combining multiple dust tracking methods, we used three Wasatch Front (Utah) dust events from August 2009, May 2020, and September 2020 to compare source apportionment estimated by the Community Multiscale Air Quality (CMAQ) model and strontium isotope (⁸⁷Sr/⁸⁶Sr) ratios. The Wasatch Front is impacted by atmospheric particulate matter (PM) from local urban sources and regional playas including Sevier Dry Lake, Great Salt Lake (GSL), and the GSL Desert. CMAQ modeling of the August 2009 event showed dust emission and transport from multiple playa sources to the Salt Lake City measurement site as wind patterns changed during the storm. The predicted mix of sources was consistent with the measured<!--> ⁸⁷Sr/⁸⁶Sr ratio of 0.71217 on the PM₁₀ <!-->filter collected during the event. Modeling of the May 2020 period showed a consistent meteorological pattern that carried dust from the Sevier Dry Lake area toward the Provo measurement site, consistent with the measured<!--> ⁸⁷Sr/⁸⁶Sr ratio of 0.71015. Modeling of the September 2020 period indicated a major dust event with complex wind patterns that changed during the event, resulting in relatively small amounts of dust from GSL Desert being transported to the Provo site. No emissions from Sevier Dry Lake were predicted to reach the site during the September event, suggesting GSL Desert contributions were mixed with local dust with a lower ⁸⁷Sr/⁸⁶Sr ratio to produce the measured value of 0.71097. Results from the three dust events demonstrate the benefits of combining CMAQ emission and transport modeling with isotopic data from PM₁₀ <!-->filters to better characterize dust source-to-sink behavior in Utah, and illustrate the potential for application in other arid regions.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"72 ","pages":"Article 100954"},"PeriodicalIF":3.1,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143181445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implications of gravel content on aerodynamic parameters, sand flux, erosion and accumulation during deflation processes over Gobi","authors":"Hongxue Zhang ,&nbsp;Kecun Zhang ,&nbsp;Zhishan An ,&nbsp;Chengjie Xue ,&nbsp;Jiapeng Pan ,&nbsp;Lihai Tan","doi":"10.1016/j.aeolia.2024.100946","DOIUrl":"10.1016/j.aeolia.2024.100946","url":null,"abstract":"<div><div>The deflationary process of the Gobi Desert contributes to the release of atmospheric dust and may lead to sand hazards. This process is influenced by the presence of gravel on the desert surface. While extensive research has been conducted on the impact of gravel coverage on sand transport, there is lack of studies examining the wind-sand characteristics across varying gravel content in mixed beds of sand and gravel. In a series of wind tunnel experiments, aerodynamic parameters, sand flux, and both erosion and accumulation amount were measured across beds with differing gravel contents. The findings revealed that the maximum roughness and friction velocity were observed at a 35 % gravel content. As gravel content increased, both the sand flux density (<em>q</em>) and the total sand flux within 30 cm (<em>q_t30</em>) declined, whereas the saltation height (<em>h₅₀</em>) increased. Both the deflation rate and the sediment entrainment rate showed a decrease as the gravel content increased from 15 % to 55 %. Although particle flux density exhibited significant fluctuations, no clear correlation with gravel content was found. The deflation process is accompanied by distinct stripes of sand accumulation at 15 % and 25 % gravel contents, owing to the saturated sand flow characterized by a high sand entrainment rate and particle flux density. In contrast, a gravel content of 55 % exhibited stability with only minor deflation, corresponding to a low sand entrainment rate and particle flux density, thus approaching an equilibrium state. This observation indicates that increasing gravel content effectively slows the deflation rate.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100946"},"PeriodicalIF":3.1,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An evaluation of different approaches for estimating shear velocity in aeolian research studies","authors":"Pei Zhang ,&nbsp;Brandon L. Edwards ,&nbsp;Nicholas P. Webb ,&nbsp;Andrew Trautz ,&nbsp;John A. Gillies ,&nbsp;Nancy P. Ziegler ,&nbsp;Justin W. Van Zee","doi":"10.1016/j.aeolia.2024.100945","DOIUrl":"10.1016/j.aeolia.2024.100945","url":null,"abstract":"<div><div>Sonic anemometry represents an important technological advance for aeolian studies, fostering better understanding of near-surface turbulence and improved methods for estimating shear velocity (<span><math><msub><mi>u</mi><mrow><mo>∗</mo></mrow></msub></math></span>). Here, we compare <span><math><msub><mi>u</mi><mrow><mo>∗</mo></mrow></msub></math></span> estimated from the Law of the Wall approach and from four methods that use 3-D wind vector measurements from sonic anemometers: double rotation, triple rotation, planar fit, and a newly developed approach based on invariants of the Reynolds stress tensor. Data were collected over 7.5 months at the Jornada Experimental Range in the Chihuahuan Desert, southern New Mexico, USA. We used <span><math><msub><mi>u</mi><mrow><mo>∗</mo></mrow></msub></math></span> estimates from the double rotation method as a reference for comparing the other methods because of its prevalence in the aeolian literature. On average, <span><math><msub><mi>u</mi><mrow><mo>∗</mo></mrow></msub></math></span> estimates from the other three methods are within 5.0 % of estimates from the double rotation approach. Estimates from the triple rotation approach were 2.2 % lower on average. Estimates from the planar fit method were the most similar, within 1.3 % on average. Estimates from the stress tensor approach were 4.9 % larger on average. We found significant discrepancies, ranging from −14.7 % to 13.7 %, among <span><math><msub><mi>u</mi><mrow><mo>∗</mo></mrow></msub></math></span> estimated from the Law of the Wall and the other methods. This underscores the need for careful methodology selection to ensure accurate characterization of boundary layer turbulence.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100945"},"PeriodicalIF":3.1,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aeolian sand cover on a granite peninsula (Hammeren, Bornholm, Baltic Sea) formed in three episodes during the past 11,600 years","authors":"Lars B. Clemmensen ,&nbsp;Aslaug C. Glad ,&nbsp;Giulia Cossu ,&nbsp;Vincenzo Pascucci","doi":"10.1016/j.aeolia.2024.100944","DOIUrl":"10.1016/j.aeolia.2024.100944","url":null,"abstract":"<div><div>Aeolian sand covers a significant part of the granite peninsula Hammeren on northernmost Bornholm in the Baltic Sea. The coastline of Hammeren is rocky and apart from one relative wide and sandy pocket beach at the east coast only few, small and gravelly pocket beaches exist. The aeolian deposits form three sand covers that stretch inland from the east and northwestern facing coasts of Hammeren. The largest sand cover forms a rising sand plain that cover the granitic landscape up to 700 m inland and reaches up to 60 m above sea level. Historical sources mention aeolian sand movement around CE 1775 in the middle of the Little Ice Age, but until this study no absolute age control has been available to confirm these observations. Luminescence dating of selected sample sites indicates that aeolian sand movement took place in three episodes. The first episode was in the last part of the Younger Dryas at about 11,500 BP, the second episode was in the Danish Late Bronze Age at about 2700 BP, and the youngest episode was indeed during the Little Ice Age around 200 BP (CE 1750). These episodes with aeolian activity all fall during relatively cold climatic intervals and add support to previous studies indicating a link between cold climates an increased storminess in Northwest Europe including the southern Baltic Sea region.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100944"},"PeriodicalIF":3.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Speculation on an early Pleistocene origin of the Parker dunes of southwest Arizona, USA","authors":"Yeong Bae Seong ,&nbsp;Kenzie L. Shandonay ,&nbsp;Ronald I. Dorn ,&nbsp;Brian F. Gootee ,&nbsp;Byong Yong Yu","doi":"10.1016/j.aeolia.2024.100943","DOIUrl":"10.1016/j.aeolia.2024.100943","url":null,"abstract":"<div><div>The Parker Dunes in western Arizona, USA represent the largest dune system in the Sonoran Desert. This study presents a simple ¹⁰Be-²⁶Al cosmogenic burial age of 1.90 ± 0.20 Ma, obtained from well cuttings 240–270 m deep in Butler Valley, just east of the dune field. Given the large errors associated with burial dating, we can only speculate that this oldest known aeolian sediment within the Parker Dunes is roughly concurrent with the Bat Cave flood event ca. 2.1 Ma of the nearby Colorado River, as well as regional climatic aridity during the early Pleistocene. Since older dune deposits may be present at other locations in the Parker Dunes, its origin dates back to at least the early Pleistocene. The more important, broader implication rests in highlighting the underutilized potential of well cuttings as a sediment source for cosmogenic burial dating in aeolian research.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100943"},"PeriodicalIF":3.1,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transport and deposition of microplastics and microrubbers during a dust storm (Sarakhs, northeast Iran)","authors":"Sajjad Abbasi ,&nbsp;Neda Hashemi ,&nbsp;Nafiseh Khodabakhshloo ,&nbsp;Monireh Mina ,&nbsp;Mohammad Reza Yousefi ,&nbsp;Andrew Turner","doi":"10.1016/j.aeolia.2024.100942","DOIUrl":"10.1016/j.aeolia.2024.100942","url":null,"abstract":"<div><div>Dust storms are important vehicles for the erosion and translocation of geogenic material in arid and semi-arid climates but little is known about their role in transporting microplastics (MPs). In this study, local soils (<em>n</em> = 20) and dusts deposited from a storm (<em>n</em> = 41) have been sampled from a remote region of northeastern Iran (Sarakhs) and the quantities and characteristics of MPs and microrubbers (MRs) determined using established techniques. In dusts, MPs and MRs were detected in 33 and 17 cases, respectively, with respective median and maximum concentrations of 0.48 and 23.0 MP g⁻¹ and 0.50 and 6.48 MR g⁻¹ and depositional fluxes of up to about 12 MP m⁻² <!-->h⁻¹ and 7 MR m⁻² <!-->h⁻¹. In soils, MPs and MRs were detected in ten and eight cases, respectively, with respective median and maximum concentrations of 0.25 and 1.90 MP g⁻¹ and 3.27 and 14.3 MR g⁻¹. Overall, the ratio of MPs in dusts to soils relative to MRs in dusts to soils was about 20, reflecting the greater mobility of the former type of particle. This can be attributed to the ready suspension and more favourable aerodynamic properties of fibrous MPs compared with fragmented MRs. A comparison of MPs in dusts and soils suggests a preferential long-range transport of fibres with certain characteristics (e.g., long, red and constructed of polypropylene), with HYSPLIT back trajectory modelling suggesting secondary (e.g., soil) sources to the south and southwest. Dust storms are important regional transporters of atmospheric MPs and MRs whose role is predicted to increase as desertification and the demands for potable water and plastics rise.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100942"},"PeriodicalIF":3.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing variability in geochemistry and mineralogy of western US dust sources","authors":"Abby L. Mangum ,&nbsp;Gregory T. Carling ,&nbsp;Barry R. Bickmore ,&nbsp;Nicholas Webb ,&nbsp;DeTiare L. Leifi ,&nbsp;Janice Brahney ,&nbsp;Diego P. Fernandez ,&nbsp;Kevin A. Rey ,&nbsp;Stephen T. Nelson ,&nbsp;Landon Burgener ,&nbsp;Joshua J. LeMonte ,&nbsp;Alyssa N. Thompson ,&nbsp;Beth A. Newingham ,&nbsp;Michael C. Duniway ,&nbsp;Zachary T. Aanderud","doi":"10.1016/j.aeolia.2024.100941","DOIUrl":"10.1016/j.aeolia.2024.100941","url":null,"abstract":"<div><div>Dust events originate from multiple sources in arid and semi-arid regions, making it difficult to quantify source contributions. Dust geochemical/mineralogical composition, if the sources are sufficiently distinct, can be used to quantify the contributions from different sources. To test the viability of using geochemical and mineralogical measurements to separate dust-emitting sites, we used dust samples collected between 2018 and 2020 from ten National Wind Erosion Research Network (NWERN) sites that are representative of western United States (US) dust sources. Dust composition varied seasonally at many of the sites, but within-site variability was smaller than across-site variability, indicating that the geochemical signatures are robust over time. It was not possible to separate all the sites using commonly applied principal component analysis (PCA) and cluster analysis because of overlap in dust geochemistry. However, a linear discriminant analysis (LDA) successfully separated all sites based on their geochemistry, suggesting that LDA may prove useful for separating dust sources that cannot be separated using PCA or other methods. Further, an LDA based on mineralogical data separated most sites using only a limited number of mineral phases that were readily explained by the local geologic setting. Taken together, the geochemical and mineralogical measurements generated distinct signatures of dust emissions across NWERN sites. If expanded to include a broader range of sites across the western US, a library of geochemical and mineralogical data may serve as a basis to track and quantify dust contributions from these sources.</div></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100941"},"PeriodicalIF":3.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic identification of saltating tracks driven by strong wind in high-speed video using multiple statistical quantities of instant particle velocity","authors":"Hongji Zhou ,&nbsp;Fanmin Mei ,&nbsp;Chuan Lin ,&nbsp;Mengjie Pu ,&nbsp;Aiguo Xi ,&nbsp;Jinguang Chen ,&nbsp;Jin Su ,&nbsp;Zhibao Dong","doi":"10.1016/j.aeolia.2024.100940","DOIUrl":"10.1016/j.aeolia.2024.100940","url":null,"abstract":"<div><p>The evolution of saltating tracks driven by strong wind remains unknown due to the low accuracy or recall rates of saltating particle tracking algorithms (SPTs). Manual identification of saltating tracks becomes a primary bottleneck because of low efficiency, restricting the development of new SPTs with high accuracy. Herein, we proposed an optimized tree model for automatically identifying saltating tracks in the high-speed video under strong wind through establishing the dataset with multiple statistical quantities of instant saltating velocity (<em>MSQV</em>) and the workflow embracing the Tree-structured Parzen Estimator (TPE). The optimized Categorical Boosting model by the D3 dataset (CatBoost-D3) could be considered the best classifier among the tree models, owning the higher accuracy (0.9352), precision (0.9348), recall (0.9352), F1-score (0.9350) and area under an receiver operating characteristics curve (AUC, 0.9730), and lower time cost. The best performances were associated with the ensemble effect of critical and secondary features, distinct from the previous finding which revealed only the effect of critical features on enhancing AUC value. Additionally, one observed that the present model was comparable to other optimized tree model by the dataset with double-class and outperformed the other tree model by the dataset with multi-class. The present work offers a new avenue for identifying hop trajectories and tracking sand particle flow via machine learning in the future, and a new channel for reunderstanding the relationship between midair collision and saltation under strong wind through automatic identification of saltating tracks.</p></div>","PeriodicalId":49246,"journal":{"name":"Aeolian Research","volume":"70 ","pages":"Article 100940"},"PeriodicalIF":3.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}