Shelter efficiency of windbreak influenced by stand configuration

Stand density and planting point configuration are two critical parameters influencing windbreak efficiency. This study investigates how stand density and triangular planting point configurations affect wind speed in Haloxylon ammodendron windbreaks. Wind tunnel experiments were conducted on four windbreaks with varying dimensions: A (17 cm × 17 cm), B 1 (17 cm × 34 cm), B 2 (34 cm × 17 cm), and C (34 cm × 34 cm), corresponding to field densities of 1500, 750, 750, and 375 plants·ha −1 , which also represented the planting density, reserved density and natural vegetation density of H. ammodendron , respectively. Results showed faster wind speed variation near windbreaks with higher densities, with windbreak B 1 (row spacing > plant spacing) exhibiting faster variation than B 2 (plant spacing > row spacing). The area of weak wind speed ( U/U 0 < 0.5) around B 1 was approximately three times that of B 2 . Wind reductions downstream the windbreaks were not proportional to stand density, with ratios of A:B:C ≈ 6:3:2. The position of U min moved further leeward as stand density decreased, accompanied by an increase in U min values. These results highlight the significant influence of both stand density and planting point configuration on windbreak efficiency, offering valuable insights for optimising windbreak design in arid regions. • The relationship between wind speed and density & planting point was quantified. • The relationship between shelter efficiency and stand density is nonlinear. • Planting point influence wind reduction with same stand density.

Authors

Institutions

Publication Details

Journal
Biosystems Engineering
Published
2025-05-29
DOI
https://doi.org/10.1016/j.biosystemseng.2025.104192
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shelter efficiency of windbreak influenced by stand configuration

Gang Xie, Yanjun Ma, Linyuan Wei, Rui Ma et al.
Biosystems Engineering
Aeolian processes and effects
article

Shelter efficiency of windbreak influenced by stand configuration

Gang Xie, Yanjun Ma, Linyuan Wei, Rui Ma, Fu‐Chun Zhang, Ruijie Zhang
article en

Abstract

Stand density and planting point configuration are two critical parameters influencing windbreak efficiency. This study investigates how stand density and triangular planting point configurations affect wind speed in Haloxylon ammodendron windbreaks. Wind tunnel experiments were conducted on four windbreaks with varying dimensions: A (17 cm × 17 cm), B 1 (17 cm × 34 cm), B 2 (34 cm × 17 cm), and C (34 cm × 34 cm), corresponding to field densities of 1500, 750, 750, and 375 plants·ha −1 , which also represented the planting density, reserved density and natural vegetation density of H. ammodendron , respectively. Results showed faster wind speed variation near windbreaks with higher densities, with windbreak B 1 (row spacing > plant spacing) exhibiting faster variation than B 2 (plant spacing > row spacing). The area of weak wind speed ( U/U 0 < 0.5) around B 1 was approximately three times that of B 2 . Wind reductions downstream the windbreaks were not proportional to stand density, with ratios of A:B:C ≈ 6:3:2. The position of U min moved further leeward as stand density decreased, accompanied by an increase in U min values. These results highlight the significant influence of both stand density and planting point configuration on windbreak efficiency, offering valuable insights for optimising windbreak design in arid regions. • The relationship between wind speed and density & planting point was quantified. • The relationship between shelter efficiency and stand density is nonlinear. • Planting point influence wind reduction with same stand density.

Biosystems EngineeringVol. 256
Gansu Agricultural University (CN), Gansu Desert Control Research Institute (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 86%
Aeolian processes and effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.