Mao Xu

Dr. Mao Xu

orcid

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Representative Publications

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6 November 2024 in Chemical Engineering Journal
Verified
Journal Article
Closed access
MXMao Xu
Mao Xu
QZQianyu Zhang
Qianyu Zhang
SWShumei Wang
Shumei Wang
Wei ChenWei Chen
Wei Chen
YZYanying Zhao
Yanying Zhao
BLBenxia Li
Benxia Li


18 January 2023 in Journal of Wind Engineering and Industrial Aerodynamics
Verified
Journal Article
Closed access
MXMao Xu
Mao Xu
Luca PatrunoLuca Patruno
Luca Patruno
SMStefano de Miranda
Stefano de Miranda

17 April 2026 in Forests
Verified
Journal Article
Open access
PDF file
YLYanqun Liu
Yanqun Liu
Jingxue WangJingxue Wang
Jingxue Wang
WCWenchao Chen
Wenchao Chen
MXMao Xu
Mao Xu
YZYu Zhang
Yu Zhang
WLweilin Li
weilin Li
Shelterbelts are increasingly used to mitigate strong wind damage, but the complex canopy structures create challenges for numerical studies of windbreak effectiveness, such as the trade-off between computational cost and accuracy of results. To address these challenges and accurately investigate the downstream wind fields, most conventional studies represent shelterbelts as rectangular porous media with a uniformly distributed aerodynamic resistance coefficient. However, due to the vertical variation in canopy diameter and the irregular distribution of leaf density, the aerodynamic resistance of natural shelterbelts becomes nonuniform accordingly. To quantify the discrepancies arising from this simplification, this study first proposes a non-destructive approach to calculate canopy porosity profiles, which are further used to derive aerodynamic resistance at different heights. Then, by comparing the results obtained from the conventional and proposed approaches in Large-Eddy Simulations, the discrepancies caused by ignoring the vertical variation in canopy structures are analyzed. Finally, these discrepancies are further investigated for double-row shelterbelts. The results show that ignoring the vertical variation in canopy diameter leads to significant differences in windbreak effectiveness, especially for the downstream velocity and pressure fields at the top and middle heights of the canopy. The proposed approach provides a computationally efficient and more accurate representation of near-surface wind fields downstream of shelterbelts, thereby contributing to the accurate prediction of local wind fields for meteorological services.