首页> 外文学位 >Air pollutant sources and exposure: Organic tracers for source identification of exposure to fine particles and effects of plug-in hybrid electric vehicles on ozone concentrations in Colorado.
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Air pollutant sources and exposure: Organic tracers for source identification of exposure to fine particles and effects of plug-in hybrid electric vehicles on ozone concentrations in Colorado.

机译:空气污染物的来源和暴露:有机示踪剂,用于确定在科罗拉多州暴露于细小颗粒以及插电式混合动力汽车对臭氧浓度的影响。

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Premature mortality has been correlated with ambient concentrations of air pollutants including fine particulate matter (PM2.5) and ozone. The research described in this dissertation has focused on several aspects of the emission source to human exposure chain for these two air pollutants.;The first two projects included in this dissertation demonstrate the feasibility and importance of including organic tracer species in receptor modeling for source apportionment of PM2.5 exposure concentrations. First, specified source profiles, contributions, and uncertainties were used to generate synthetic PM2.5 exposure data. Positive Matrix Factorization was applied to these data; the resulting source contributions and profiles were compared to the known inputs. Sources with unique tracer species were typically modeled well. Next, a pilot study gathered 64 24-hour PM2.5 exposure samples for a convenient population of subjects living in or near Boulder, CO. The samples were analyzed for PM2.5 mass, elemental and organic carbon, organic compounds, water-soluble metals, ammonia, and nitrate. Fifty-four organic species had signal-to-noise ratios larger than two; these included tracer species that helped identify meat cooking, biomass, gasoline, cigarette smoke, and motor oil combustion. Soil and brake dust were identified using inorganic markers.;The third project explored the effects of plug-in hybrid electric vehicles (PHEVs) on ozone concentrations in the Denver area. For several hypothetical scenarios, a unit commitment and dispatch model was used to estimate the charging patterns of PHEVs and the power plants dispatched to provide their electricity. The CAMx atmospheric chemistry and transport model was used to simulate the effects of resulting emissions changes on ozone concentrations. Modeled peak ozone concentrations were typically reduced by up to 3 ppb in the 100% PHEV penetration case. Ozone concentration increases were projected for small areas near central Denver. Overall reductions in ozone were relatively modest, as emissions from outside Colorado contribute significantly to ozone in the Denver metropolitan area.
机译:过早死亡率与包括细颗粒物(PM2.5)和臭氧的空气污染物的环境浓度相关。本文对这两种空气污染物的研究主要集中在人类暴露链的排放源方面。论文的前两个项目证明了将有机示踪剂包括在受体模型中进行源解析的可行性和重要性。 PM2.5暴露浓度。首先,使用特定的源剖面,贡献和不确定性来生成合成的PM2.5暴露数据。将正矩阵分解应用于这些数据;将所得的源贡献和概况与已知输入进行比较。具有独特示踪物种的来源通常建模良好。接下来,一项初步研究收集了64个24小时的PM2.5暴露样本,以方便居住在科罗拉多州博尔德市或附近的受试者群体。分析了样本中的PM2.5质量,元素和有机碳,有机化合物,水溶性金属,氨和硝酸盐。 54种有机物种的信噪比大于2。其中包括有助于识别肉类烹饪,生物质,汽油,香烟烟雾和机油燃烧的示踪物。使用无机标记物识别了土壤和刹车灰尘。第三项目探索了插电式混合动力汽车(PHEV)对丹佛地区臭氧浓度的影响。对于几种假设情景,使用单元承诺和调度模型来估计插电式混合动力汽车和调度提供电力的发电厂的充电模式。 CAMx大气化学和运输模型用于模拟排放变化对臭氧浓度的影响。在100%PHEV渗透情况下,模拟的臭氧峰值浓度通常最多降低3 ppb。预计丹佛市中心附近的小区域臭氧浓度会增加。总体而言,臭氧的减少相对较小,因为科罗拉多州以外地区的排放量大大增加了丹佛市区的臭氧含量。

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