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首页> 外文期刊>Atmospheric environment >Characterization Of Particles From Residential Wood Combustion And Modelling Of Spatial Variation In A Low-strength Emission Area
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Characterization Of Particles From Residential Wood Combustion And Modelling Of Spatial Variation In A Low-strength Emission Area

机译:低强度排放区居民木材燃烧过程中颗粒物的表征及空间变异模型

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There is growing concern regarding particle emissions from residential wood combustion due to the relatively high emission of particles compared to other sources. This study investigates the influence of wood combustion on particle levels and composition in a village residential area (Vindinge ~2200 inhabitants). To better assess this influence, measurements were carried simultaneously in a background area (Lille Valby). The detached houses in Vindinge were primarily heated by combustion of natural gas and about one fourth used wood combustion for primary or supplementary heating. The local contribution to PM_(2.5) in the residential area was about 1.2 ± 0.4 μg m~(-3) (95% confidence interval), corresponding to about 10% of PM_(2.5) and reaching 2.6 ± 0.4 μg m~(-3) for the evening period (16:00-23:00) during 24 February-21 March 2005. Average diurnal variations of PM_(2.5), particle numbers and volume (10-700 nm), and soot indicate traffic as a local source during daytime and wood combustion as a local source during evenings. Levels of paniculate polycyclic aromatic hydrocarbons (PAH) and monosaccharide anhydrides (levoglucosan and mannosan, MA) were higher during most evenings in Vindinge compared to the background site. The average concentration for PAH was 10.9 ± 7.1 ng m~(-3) and 5.9 ± 2.9 ng m~(-3) (one standard deviation) and for MA 313 ±237 ng m~(-3) and 168 ± 89 ng m~(-3) in the residential and background area, respectively. The average contribution of levoglucosan to PM_(2.5) was 3.6% in the residential area and 1.7% in the background area. The contribution of PM_(2.5) from local wood combustion was modelled using a Gaussian plume dispersion model (OML-multi) in order to investigate the suitability of this type of model for estimation of population exposure. The modelled levels were in the range of the measurement results, but evaluation of parameters such as emission factor and combustion activity is recommended for future studies.
机译:由于与其他来源相比颗粒排放量相对较高,人们越来越关注由住宅木材燃烧引起的颗粒排放。本研究调查了木材燃烧对乡村居民区(Vindinge〜2200居民)中颗粒物含量和组成的影响。为了更好地评估这种影响,在背景区域(Lille Valby)中同时进行了测量。 Vindinge的独立式住宅主要通过天然气燃烧进行加热,大约四分之一的木材燃烧用于一次或补充加热。居民区对PM_(2.5)的局部贡献约为1.2±0.4μgm〜(-3)(95%置信区间),相当于PM_(2.5)的约10%,达到2.6±0.4μgm〜(-3)。 -3)代表2005年2月24日至3月21日的傍晚(16:00-23:00)。PM_(2.5),颗粒数和体积(10-700 nm)以及烟灰的平均日变化表示流量为白天是本地资源,晚上是木材燃烧。与背景站点相比,在Vindinge的大多数晚上,颗粒状多环芳烃(PAH)和单糖酐(左旋葡聚糖和甘露聚糖,MA)的含量较高。 PAH的平均浓度为10.9±7.1 ng m〜(-3)和5.9±2.9 ng m〜(-3)(一个标准偏差),而MA 313±237 ng m〜(-3)和168±89 ng m〜(-3)分别在住宅区和背景区。左旋葡聚糖对PM_(2.5)的平均贡献在居住区为3.6%,在背景区为1.7%。使用高斯羽状弥散模型(OML-multi)对局部木材燃烧中PM_(2.5)的贡献进行建模,以研究此类模型对人口暴露估算的适用性。建模水平在测量结果的范围内,但建议对排放因子和燃烧活性等参数进行评估,以供将来研究。

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