Numerical Simulation of Wind and Sand Resistance in Three Typical Shrubs

被引:0
作者
Zhang, Huimin [1 ]
Pei, Liang [2 ]
Li, Juyan [3 ]
Wang, Fan [1 ]
Yin, Zhongdong [1 ,2 ]
机构
[1] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
[3] Xinjiang Uygur Autonomous Reg Soil & Water Conservat Monitoring Ctr, Urumqi 830013, Peoples R China
关键词
shelter effect; sand resistance; desert shrub; numerical simulation; flow field;
D O I
10.3390/su17125481
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The sand-laden airflow fields surrounding Artemisia desertorum Spreng., Reaumuria soongorica, and Hedysarum scoparium were investigated. The study focuses on a configuration of double rows with staggered shrub distribution. Computational Fluid Dynamics (CFD) simulations were employed to model the airflow. The resulting flow field was categorized into five distinct regions. The shelter distances downwind of the shrubs were observed to be 7 H, 6 H, and 6 H for A. desertorum, R. soongorica, and H. scoparium, respectively. The corresponding shelter widths were measured as 3 m, 3 m, and 8 m, respectively. The three kinds of shrubs all formed vortices behind the shrubs. Three shrub species demonstrated distinct wind shelter efficiency ranges: A. desertorum (0.5-4 H), R. soongorica (0.5-3 H), and H. scoparium (0.5-2 H). Optimal shelter effects were observed in different vertical layers: R. soongorica in the low (0-0.2 m), A. desertorum in the medium (0.2-0.7 m), and H. scoparium in the high (0.7-2.2 m) altitude layers. Overall, H. scoparium exhibited the highest sand resistance, followed by A. desertorum Spreng, with R. soongorica demonstrating the least resistance. This study offers theoretical insights for mitigating aeolian environmental degradation, particularly in safeguarding energy and transportation infrastructure in desert regions and promoting sustainable agricultural practices in arid areas.
引用
收藏
页数:18
相关论文
共 31 条
[1]  
Chang ZhaoFeng Chang ZhaoFeng, 2015, Animal Husbandry and Feed Science, V7, P191
[2]   Wind erosion rate for vegetated soil cover: A prediction model based on surface shear strength [J].
Cheng Hong ;
Liu Chenchen ;
Zou Xueyong ;
Li Huiru ;
Kang Liqiang ;
Liu Bo ;
Li Jifeng .
CATENA, 2020, 187
[3]   Optimal design for vegetative windbreaks using 3D numerical simulations [J].
Guo, Zhiyi ;
Yang, Xiaofan ;
Wu, Xiaoxu ;
Zou, Xueyong ;
Zhang, Chunlai ;
Fang, Hui ;
Xiang, Hongxu .
AGRICULTURAL AND FOREST METEOROLOGY, 2021, 298
[4]   Modeling the inhibition effect of straw checkerboard barriers on wind-blown sand [J].
Huang, Haojie .
EARTH SURFACE DYNAMICS, 2023, 11 (02) :167-181
[5]   Numerical simulation and field study on predicting wind-blown sand accumulation in sand mitigation measures of the Ganquan railway [J].
Huang, Shiguang ;
Ma, Tao ;
Jiang, Fuqiang ;
Nie, Fei ;
Wang, Xuedong ;
Ma, Tiantian .
FRONTIERS IN EARTH SCIENCE, 2024, 12
[6]   Nebkha (coppice dune) formation and significance to environmental change reconstructions in arid and semiarid areas [J].
Lang Lili ;
Wang Xunming ;
Hasi, Eerdun ;
Hua Ting .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2013, 23 (02) :344-358
[7]  
Li J., 2008, Res. Soil Water Conserv, V3, P121
[8]   Airflow around single and multiple plants [J].
Liu, Chenchen ;
Zheng, Zhongquan ;
Cheng, Hong ;
Zou, Xueyong .
AGRICULTURAL AND FOREST METEOROLOGY, 2018, 252 :27-38
[9]  
Liu H., 2014, Acta Bot. BorealiOccident. Sin, V34, P155
[10]   Effects of plants with different shapes and coverage on the blown-sand flux and roughness length examined by wind tunnel experiments [J].
Liu, Jiaqi ;
Kimura, Reiji ;
Miyawaki, Mami ;
Kinugasa, Toshihiko .
CATENA, 2021, 197