Effects of sweeping depth on particulate matter emissions from almond harvest operations

Developmental Biology

W. Brock Faulkner¹  Sergio C. Capareda¹ 

[1]Department of Biological and Agricultural Engineering, Texas A&M University, 2117 TAMU, College Station, Texas 77843–2117

[2] USA$$

关键词: PM10;    TSP;    Almond harvest;    Inverse dispersion modeling;    Mitigation;   

DOI  :  10.5094/APR.2012.024

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

Almond harvest accounts for substantial PM₁₀ emissions in California each harvest season. This paper addresses the effects of sweeper depth on particulate matter (PM) emissions from sweeping and pickup operations. Ambient PM sampling was conducted during harvest with alternating control (conventional sweeper setting) and experimental [sweeper depth 1.27 cm (0.5 in.) lower than recommended] treatments. On–site meteorological data were used in conjunction with dispersion modeling using the American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) to back–calculate emission rates from the measured concentrations. PM₁₀ emissions from pickup of windrows formed using lower sweeper settings were approximately 2.5 times those from pickup of windrows formed using conventional sweeper settings. Emissions from nut pickup were higher than those reported in previous studies but over 70% lower than the emission factor of 4 120 kg PM₁₀ km⁻² yr⁻¹ currently in use by the California Air Resources Board. The results of this research indicate the importance of proper equipment setup for reducing PM emissions and that the total PM₁₀ emissions from modern almond harvest operations are substantially lower than current emission factors.

【 授权许可】

Unknown   

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