Simulation of the effect of windbreaks on odour dispersion

Lin, Xin; Barrington, Suzelle; Choinière, Denis; Prasher, Sangeeta

doi:10.1016/j.biosystemseng.2007.07.010

Cited by 31 publications

(20 citation statements)

References 21 publications

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“…Windbreak effects on heating and cooling relate to wind speed reduction and thermal insulation (He & Hoyano, 2009). Windbreaks can even slow the dispersion and intensity of foul odors (Lin et al, 2007). Windbreak savings are highly variable and depend on tree size, leaf porosity, structure type, and distance from the structure being protected.…”

Section: The Nature Of Urban Forest and Tree Benefitsmentioning

confidence: 99%

Urban Forest and Tree Valuation Using Discounted Cash Flow Analysis: Impact of Economic Components

Peterson¹,

Straka²

2012

OJF

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Discounted cash flow analysis is one of the standard methods used to value urban forests and trees. It involves calculating today’s value for all benefits and costs attributed to an investment; that is discounting all cash flows to today’s value using an appropriate interest rate. This requires each benefit and cost be stated in terms of its cash flow. Urban tree benefits are complex. Little notice is given to the components of these benefits. Total urban tree benefits are a summation of partial benefits, including property value increase, storm water reduction, air quality improvement, carbon sequestration, natural gas savings, and electricity savings. We discuss the nature of these partial benefits, especially the geographical, temporal, diameter size, and rate of growth differences. These differences are even reflected in nursery stock valuation. Net present value analysis is used to illustrate the impact of these differences on financial return. An understanding of these components will prove valuable to those attempting to estimate urban forest and tree benefits

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Section: The Nature Of Urban Forest and Tree Benefitsmentioning

confidence: 99%

Urban Forest and Tree Valuation Using Discounted Cash Flow Analysis: Impact of Economic Components

Peterson¹,

Straka²

2012

OJF

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“…3. The structure of the trees forming the windbreak, where H is the total height; a) conifer; b) poplar (Lin et al, 2007b) where z is the coordinate value in the vertical direction; H is the height of the windbreak; h 1 is the height at which the porosity of the windbreak changes (0 < h 1 < H), and; w 1 , w 2 , and w 3 are three constants corresponding to the thickness of the real windbreak, set in the simulation to allow 66 % of the air to pass through. For the windbreak on site 2, the averaged optical porosity was 0.35: the optical porosity at the base was 0.40; that between heights of 3 to 14 m was 0.3, and; above 14 m, the porosity was gradually increased from 0.3 to 1.0.…”

Section: Describing the Windbreakmentioning

confidence: 99%

“…Corresponding to the physical conditions of the ground surface, z 0 was 0.13 m (Lin et al, 2007b). The coefficient L MO was estimated from the Pasquill atmospheric stability categories.…”

Section: Boundary Conditionsmentioning

confidence: 99%

“…Computational Fluid Dynamics models have successfully simulated gas dispersion in complex spaces (Riddle et al, 2004), such as ammonia distribution in barns (Sun et al, 2002) and spray droplet transport in fields (Ucar & Hall, 2001). Lin et al (2007bLin et al ( , 2009a produced a model based on Computational Fluid Dynamics (CFD) to simulate odour dispersion downwind from natural windbreaks. The model was calibrated with field odour observations using panellists trained to associate odour concentration with an odour annoyance scale of 0 to 10, where 10 is the maximum level of annoyance.…”

mentioning

confidence: 99%

“…In contrast, the n-butanol scale uses an odour intensity scale of 1 for 25 OU m -3 , of 2 for 72 OU m -3 , and so on up to 1834 OU m -3 for a scale of 5 (Guo et al, 2001). Accordingly, the n-butanol scale is designed to measure high odour concentration levels whereas the method used by Lin et al (2007bLin et al ( , 2009a is designed to measure odour levels in the vicinity of the threshold values. In determining separation distances, the threshold values can be most useful.…”

mentioning

confidence: 99%

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Simulating Odour Dispersion about Natural Windbreaks

Suzelle¹,

Jun²,

Denis³

2011

Computational Fluid Dynamics Technologies and Applications

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Ecohydrological implications of aeolian sediment trapping by sparse vegetation in drylands

Gonzales

Ravi

et al. 2018

Ecohydrology

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Aeolian processes are important drivers of ecosystem dynamics in drylands, and important feedbacks exist among aeolian—hydrological processes and vegetation. The trapping of wind‐borne sediments by vegetation canopies may result in changes in soil properties beneath the vegetation, which, in turn, can alter hydrological and biogeochemical processes. Despite the relevance of aeolian transport to ecosystem dynamics, the interactions between aeolian transport and vegetation in shaping dryland landscapes where sediment distribution is altered by relatively rapid changes in vegetation composition such as shrub encroachment, are not well understood. Here, we used a computational fluid dynamics modelling framework to investigate the sediment trapping efficiencies of vegetation canopies commonly found in a shrub‐grass ecotone in the Chihuahuan Desert (New Mexico, USA) and related the results to spatial heterogeneity in soil texture and infiltration measured in the field. The vegetation structures were created using a computer‐aided design software, with inherent canopy porosities, which were derived using Light Detection and Ranging (LiDAR) measurements of plant canopies. Results show that considerable heterogeneity in infiltration and soil grain size distribution exist between the microsites, with higher infiltration and coarser soil texture under shrubs. Numerical simulations further indicate that the differential trapping of canopies might contribute to the observed heterogeneity in soil texture. In the early stages of encroachment, the shrub canopies, by trapping coarser particles more efficiently, might maintain higher infiltration rates leading to faster development of the microsites with enhanced ecological productivity, which might provide positive feedbacks to shrub encroachment.

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Simulation of the effect of windbreaks on odour dispersion

Cited by 31 publications

References 21 publications

Urban Forest and Tree Valuation Using Discounted Cash Flow Analysis: Impact of Economic Components

Urban Forest and Tree Valuation Using Discounted Cash Flow Analysis: Impact of Economic Components

Simulating Odour Dispersion about Natural Windbreaks

Ecohydrological implications of aeolian sediment trapping by sparse vegetation in drylands

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