Numerical simulation study of a tree windbreak

Bitog, J. P.; Lee, In-Bok; Hwang, Hyunseung; Shin, Myeong-Ho; Hong, Suk-Jin; Seo, Il Won; Kwon, Kilsung; Mostafa, Ehab; Pang, Zhiyong

doi:10.1016/j.biosystemseng.2011.10.006

Cited by 61 publications

(26 citation statements)

References 30 publications

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“…1 and 2) resulted in smaller protected zone. The result agrees with Fryrear and Skidmore (1985); Van den Steen (1995), Bitog et al (2012) that the higher the windward wind velocity, the smaller the protected horizontal distance until the velocity had almost recovered.…”

Section: Discussionsupporting

confidence: 91%

“…An analysis of optical porosity of the windbreak allows assessing its effect in different phonological phases (Středová et al 2012). Unfortunately, the porosity for trees is very complex to deal with and very difficult to determine due to the irregular size and shape of the trees and varied distribution of the pores (Zhu et al 2003;Dong et al 2006;Bitog et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Optical Porosity of Tree Windbreaks on Windward Wind Speed, Erosive Force and Sand Deposition

Dafa-Alla¹,

Al-amin²

2016

Journal of Forest and Environmental Science

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The research was conducted windward of an irrigated Acacia amplicips Maslin windbreak established to protect As Salam Cement Plant from winds and moving sands. Two belts with approximate optical porosities of 50% and 20% were studied in River Nile State, Sudan. The research aimed at assessing the efficiency of the two belts in wind speed reduction and sand deposition. Research methods included: (i) estimation of optical porosity, (ii) measurements of windward wind speeds at a control and at distances of 0.5 h (h stands for windbreak height), 1 h and 2 h at two vertical levels of 0.25 h and 0.5 h, (iii) estimation of relative wind speeds at the three positions (distance and height) at windward and (iv) estimation of wind erosive forces and prediction of zones of sand deposition. Results show that while the two belts reduced windward wind speeds at the two levels for the three distances, belt II was more effective. Nearest sand deposition occurred at 2 h and 1h windward of belt II and belt I, respectively, at level 0.25 h. At level 0.5 h, sand was deposited only at 2 h windward of belt II and no sand deposition occurred windward of belt I. The study concludes that less porous windbreaks are more effective in reducing wind speed and in depositing sand in windward direction at a distance of not less than twice the belt height.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

The Influence of Optical Porosity of Tree Windbreaks on Windward Wind Speed, Erosive Force and Sand Deposition

Dafa-Alla¹,

Al-amin²

2016

Journal of Forest and Environmental Science

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“…The simulations revealed that 0.5 m gap between trees were more effective in reducing wind velocity, figure (12). Two-rows of alternating trees were also found to be more effective than one-row and two-rows of trees as shown in figure 13 (Bitog et al 2012). …”

Section: Windbreaksmentioning

confidence: 90%

Air-Polluted with Particulate Matters from Livestock Buildings

Mostafa¹

2012

Air Quality - New Perspective

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“…3). Based on previous experiments and observations in similar urban contexts by Westerberg and Glaumann (1990–1991), Bitog et al (2012), and Lenzhölzer, (2010), the trees were placed perpendicular to the wind flow in a single‐row shelterbelt. The purpose of placing a single row of trees was to examine how different species may influence the lee cavity in the courtyard area depending on their porosity (Oke, 1988; Lenzhölzer, 2010; Santamouris, 2011).…”

Section: Methodsmentioning

confidence: 99%

Branch Area Index of Solitary Trees: Understanding Its Significance in Regulating Ecosystem Services

2016

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The chief aim of this study was to investigate how different species of solitary trees in temperate urban areas vary in their branch structure during winter by assessing branch area indices (BAIs). The BAI data showed significant differences ( < 0.0001) between species and genotypes. The lowest mean BAI in the dataset was for L., which had a BAI of 0.27. L. 'Fastigiata' represented the largest mean BAI of 2.09. The results from the BAI analysis further indicate that within the same species group differences occur between genotypes. For example, the five genotypes of L. range from a mean BAI of 1.77 for 'Globosum' to a mean BAI of 0.50 for 'Fassen Black'. A further aim was to apply the compiled BAI data in the computational modeling program of ENVI-met 3.1, which simulates the surface-air interaction and microclimates in complex urban settings. The simulations focused on mean radiant temperature and wind speed. Results illustrate how wind speed on the leeward side of the trees gradually decrease with an increasing BAI. With an increasing BAI, the Tmrt decreases to the leeward of the row of trees. The results are further discussed in the perspective of sustainable urban development (i.e., where, why, and how the species studied could be integrated in the urban fabric). This is of particular interest for the design of urban green space in densely built-up urban environments where space may be restricted.

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Numerical simulation study of a tree windbreak

Cited by 61 publications

References 30 publications

The Influence of Optical Porosity of Tree Windbreaks on Windward Wind Speed, Erosive Force and Sand Deposition

The Influence of Optical Porosity of Tree Windbreaks on Windward Wind Speed, Erosive Force and Sand Deposition

Air-Polluted with Particulate Matters from Livestock Buildings

Branch Area Index of Solitary Trees: Understanding Its Significance in Regulating Ecosystem Services

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