Characteristics of Aeolian Dune, Wind Regime and Sand Transport in Hobq Desert, China
Source abstract
Abstract
A systematic study of the wind regime characteristics in a region can not only accurately grasp the dynamic factors of the development of aeolian geomorphology, but also provide a scientific basis for the prevention and treatment of regional sand disasters. Taking the Hobq Desert as the study area, the basic characteristics of dune are analyzed by using remote sensing images. Based on the annual meteorological data of six meteorological stations from 2009 to 2018, the spatial and temporal distribution characteristics of wind speed were obtained. With the daily wind data of three stations from 2009 to 2018, we have figured out the wind regime and sand transport characteristics of the Hobq Desert. The results show that the sand dune height of the Hobq Desert ranges large, the highest height is 5010 m and the lowest is 10 m. It decreases gradually from the west to the east. The height of dune mainly distributed below 1500 m, followed by 1500–2000 m. Migratory sand dunes in Hobq Desert accounts for 51.8% and is mainly distributed in the west of the desert. The distribution area of fixation sand dunes in Hobq Desert is the least, accounting for 8.3%. The migratory dune pattern is trellis dune, semimigrated dune and semifixed dune patterns include honeycomb dune, parabolic duneand brush dune, and fixation dune pattern is grass dune. Annual wind speed was greatest in the southeast and decreased moving to the northwest. The dominant wind direction was W and SW from 2009 to 2018 in the Hobq Desert, the average wind speed of the prevailing winds mainly distributed at 4–8 m/s. The frequency of wind speed exceeding 10 m/s is very low, with a maximum value of 10% or below. There is a low energy wind environment in the Hobq Desert, with intermediate annual directional variability and obtuse or acute bimodal wind regime. The resultant drift direction (RDD)at Dongsheng station was relatively constant from 2009 to 2018, it was about 350°. RDD differed significantly at Baotou and Linhestations were 181 ± 169° and 231 ± 121°, respectively.The relationship between drift potential (DP) and the average and maximum wind speed was expressed as a power function. DP was strongly correlated with them. There is no significant correlated between the temporal changes in DPandprecipitation and temperature from 2009 to 2018 in the Hobq Desert.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Aeolian processes and effects · Soil erosion and sediment transport · Geology and Paleoclimatology Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Agricultural Water Resources, Hebei Key Laboratory for Agricultural Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
University of Chinese Academy of Sciences, Beijing 100049, China
Funding
National Key Research and Development Plan Project of China · National Natural Science Foundation of China
References (35)
Show source-provided references
1. El-Baz, F., and Hassan, M.H.A. (1986). Soil erosion by wind. Physics of Desertification, MartinusNijhoff Publishers.10.1007/978-94-009-4388-9 ↗
2. Zhu, Z.D. (1999). Desert, Desertification and Its Control, Environmental Science Press of China.
3. Wind regime and sand transport in China’s Badain Jaran Desert10.1016/j.aeolia.2015.01.004 ↗
4. Dust storms in space and time10.1177/030913338300700402 ↗
5. Study on wind regime characteristics in the Taklimakan Desert
6. Sand drift potential in the desert of Kuwait10.1016/j.jaridenv.2005.03.011 ↗
7. Thresholds of aeolian sand transport: Establishing suitable values10.1046/j.1365-3091.2003.00613.x ↗
8. Crust strength:a wind tunnel study of the effect of impact by saltating particles on cohesive soil surfaces10.1002/esp.217 ↗
9. Influence of vegetation on Aeolian sand transport rate from a backshore to a foreshore at Hasaki, Japan10.1111/j.1365-3091.2005.00734.x ↗
10. Flow dynamics over a foredune at Prince Edward Island Canada10.1016/j.geomorph.2004.08.001 ↗
11. Wind initiation thresholds of the moistened sands10.1029/2001GL013128 ↗
12. Recalibrating aeolian sand transport models10.1002/esp.3310 ↗
13. Wind regime and sand transport in the corridor between the Badain Jaran and Tengger deserts, central Alxa Plateau, China10.1016/j.aeolia.2013.12.006 ↗
14. Van Rijin, L.C., and Strypteen, G. (2019). A fully predictive model for aeolian sand transport. Coast. Eng.10.1016/j.coastaleng.2019.103600 ↗
15. Dunes of the Western Navajo country10.2307/210206 ↗
16. Yang, J.P. (2006). Study onDesertification and Its Control in Hobq Area, Beijing Forestry University.
17. Variation in grain size and morphology of an inland parabolic dune during the incipient phase of stabilization in the Hobq Desert, China10.1016/j.sedgeo.2016.03.016 ↗
18. Paleomagnetic chronology and paleoenvironmental records from drill cores from the Hetao Basin and their implications for the formation of the Hobq Desert and the Yellow River10.1016/j.quascirev.2016.11.023 ↗
19. Late Quaternary optically stimulated luminescence (OSL) chronology and environmental changes in the Hobq Desert, northern China10.1016/j.quaint.2017.06.010 ↗
20. Analysis of channel evolution characteristics in the Hobq Desert reach of the Yellow River (1962–2000)10.1016/j.gloplacha.2015.10.015 ↗
21. Hyper-concentrated flow response to aeolian and fluvial interactions from a desert watershed upstream of the Yellow River10.1016/j.catena.2016.07.033 ↗
22. Long-term morphodynamic changes of a desert reach of the Yellow River following upstream large reservoirs’ operation10.1016/j.geomorph.2007.08.008 ↗
23. Holocene aeolian stratigraphic sequences in the eastern portion of the desert belt (sand seas and sandy lands) in northern China and their palaeoenvironmental implications10.1007/s11430-018-9304-y ↗
24. Spatial and temporal variations of aeolian sediment input to the tributaries (the Ten Kongduis) of the upper Yellow River10.1016/j.aeolia.2017.10.002 ↗
25. Statistical analysis of dust weather variation characteristics in Linhe district
26. McKee, E.D. (1979). Dune forms and wind regime, A Study of Global Sand Seas.10.3133/pp1052 ↗
27. Nonparametric tests against trend10.2307/1907187 ↗
28. Kendall, M. (1975). Rank Correlation Measures, Charles Griffin.
29. Changes and influencing factors of the sediment load in the Xiliugoubasin of the upper Yellow River, China10.1016/j.catena.2016.02.007 ↗
30. Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis10.1016/j.jhydrol.2007.11.009 ↗
31. A non-parametric approach to the change-point problem
32. Livingstone, I., and Warren, A. (1996). Aeolian Geomorphology: An Introduction, Addison Wesley Longman Limited.
33. An aeolian transport model for flat shifting sand fields under dynamic–limiting conditions10.1016/j.jaridenv.2011.03.012 ↗
34. The vegetation species diversity of fixed dune in Horqin sandy land response to precipitation changes
35. Landscape spatial patterns in the Maowusu (Mu Us) Sandy Land, northern China and their impact factors10.1016/j.catena.2016.06.023 ↗