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A science based emission factor for particulate matter emitted from cotton harvesting

机译:基于科学的排放因子,用于收获棉花的颗粒物

摘要

Poor regional air quality in some states across the US cotton belt has resulted inincreased pressure on agricultural sources of particulate matter (PM) from air pollutionregulators. Moreover, inaccurate emission factors used in the calculation of annualemissions inventories led to the identification of cotton harvesting as a significant sourceof PM10 in California and Arizona. As a result, cotton growers in these states are nowrequired to obtain air quality permits and submit management practice plans detailingthe actions taken by the producer to reduce fugitive PM emissions from field operations.The objective of this work was to develop accurate PM emission factors for cottonharvesting in terms of total suspended particulate (TSP), PM10, and PM2.5.Two protocols were developed and used to develop PM emission factors fromcotton harvesting operations on three farms in Texas during 2006 and 2007. Protocolone utilized TSP concentrations measured downwind of harvesting operations withmeteorological data measured onsite in a dispersion model to back-calculate TSPemission flux values. Flux values, determined with the regulatory dispersion modelsISCST3 and AERMOD, were converted to emission factors and corrected with resultsfrom particle size distribution (PSD) analyses to report emission factors in terms of PM10and PM2.5. Emission factors were developed for two-row (John Deere 9910) and sixrow(John Deere 9996) cotton pickers with protocol one. The uncertainty associatedwith the emission factors developed through protocol one resulted in no significantdifference between the emission factors for the two machines. Under the second protocol, emission concentrations were measured onboard thesix-row cotton picker as the machine harvested cotton. PM10 and PM2.5 emission factorswere developed from TSP emission concentration measurements converted to emissionrates using the results of PSD analysis. The total TSP, PM10, and PM2.5 emission factorsresulting from the source measurement protocol are 1.64 ? 0.37, 0.55 ? 0.12, and 1.58E-03 ? 4.5E-04 kg/ha, respectively. These emission factors contain the lowest uncertaintyand highest level of precision of any cotton harvesting PM emission factors everdeveloped. Thus, the emission factors developed through the source sampling protocolare recommended for regulatory use.
机译:美国棉花带上某些州的地区空气质量差,导致空气污染调节剂对农业颗粒物(PM)来源的压力增加。此外,在计算年排放量清单时使用了不准确的排放因子,导致在加利福尼亚州和亚利桑那州,棉花收成被确定为PM10的重要来源。因此,现在要求这些州的棉花种植者获得空气质量许可证并提交管理实践计划,详细说明生产者为减少现场作业中的有害PM排放所采取的行动。该工作的目的是为棉花收获开发准确的PM排放因子就总悬浮颗粒物(TSP),PM10和PM2.5而言​​,已开发出两个协议,并用于开发德克萨斯州三个农场在2006年和2007年间棉花收获活动中的PM排放因子。结合在分散模型中现场测量的气象数据来反算TSPemission通量值。用调节色散模型ISCST3和AERMOD确定的通量值转换为排放因子,并用粒度分布(PSD)分析的结果进行校正,以报告有关PM10和PM2.5的排放因子。协议一为两行(John Deere 9910)和六行(John Deere 9996)采棉机开发了排放因子。与通过协议一得出的排放因子相关的不确定性导致两台机器的排放因子之间没有显着差异。在第二方案下,在机器收获棉花的同时,在六行采棉机上测量排放浓度。通过使用PSD分析的结果,将TSP排放浓度测量值转换为排放率,得出PM10和PM2.5排放因子。源测量协议产生的总TSP,PM10和PM2.5排放因子为1.64? 0.37、0.55? 0.12和1.58E-03?分别为4.5E-04 kg / ha。这些排放因子包含有史以来开发的任何棉花收获PM排放因子中的最低不确定性和最高精确度。因此,建议将通过源采样协议开发的排放因子用于监管用途。

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    Wanjura John David;

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  • 年度 2009
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