Arid
DOI10.1002/met.1851
Meteorological application of wind speed and direction linked to remote sensing images for the modelling of sand drift potential and dune morphology
Zamani, Samira1; Mahmoodabadi, Majid1; Yazdanpanah, Najme2; Farpoor, Mohammad Hady1
通讯作者Mahmoodabadi, Majid
来源期刊METEOROLOGICAL APPLICATIONS
ISSN1350-4827
EISSN1469-8080
出版年2020
卷号27期号:1
英文摘要Wind velocity and its direction are important erosive factors affecting sand drift potential and dune morphology in arid and semi-arid environments. The study assesses sand drift potential using wind meteorological data acquired from eight synoptic stations of Kerman province in southeastern Iran for a statistical period of 2006-2010. Three diagrams including wind rose, storm rose and sand rose were plotted for the selected stations using WR Plot View.8 and Sand Rose Graph 3.0. The analyses were performed at seasonal and mean annual time scales. The unidirectional index and wind energy classification were compared with sand dune morphology obtained from satellite images. The seasonal analysis indicated intermediate directional variability and high energy winds, with the most erosive winds occurring in winter. The total sand flux in all directions and discharge sand flow in the resultant drift direction ranged from 53.4 to 319.1 and from 13.8 to 247.6 t center dot m(-1)center dot year(-1), respectively. The transverse dune was the main type of sand dune detected in the region with an intermediate directional variability, implying positive sand supplies. Dune morphology coincided reasonably well with the resultant drift direction. An appropriate match was found between the wind data analyses and the morphology of dunes observed in the satellite images.
英文关键词meteorological data morphology sand dune wind erosion wind speed
类型Article
语种英语
国家Iran
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000506081300001
WOS关键词SURFACE WINDS ; EROSION ; SWEDEN ; DESERT ; REGIME ; GEOMORPHOLOGY ; TRANSPORT ; VELOCITY ; PLATEAU ; KERMAN
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
EI主题词2020-01-08
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/312423
作者单位1.Shahid Bahonar Univ Kerman, Fac Agr, Dept Soil Sci, Kerman, Iran;
2.Islamic Azad Univ, Kerman Branch, Dept Water Engn, Kerman, Iran
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Zamani, Samira,Mahmoodabadi, Majid,Yazdanpanah, Najme,et al. Meteorological application of wind speed and direction linked to remote sensing images for the modelling of sand drift potential and dune morphology[J],2020,27(1).
APA Zamani, Samira,Mahmoodabadi, Majid,Yazdanpanah, Najme,&Farpoor, Mohammad Hady.(2020).Meteorological application of wind speed and direction linked to remote sensing images for the modelling of sand drift potential and dune morphology.METEOROLOGICAL APPLICATIONS,27(1).
MLA Zamani, Samira,et al."Meteorological application of wind speed and direction linked to remote sensing images for the modelling of sand drift potential and dune morphology".METEOROLOGICAL APPLICATIONS 27.1(2020).
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