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Measuring and modelling the local-scale spatio-temporal variation of urban particle number size distributions and black carbon

机译:测量和模拟城市粒度数量分布和黑碳的当地时空变化

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Mobile measurements were performed to study the spatio-temporal variation of particle number size distributions (NSD) in the range 11 < D_p < 365 nm as well as total particle number and black carbon concentrations in Braunschweig, Germany during the winter and summer period 2012/2013. The study area of about 1 km~2 consisted of six different outdoor microenvironments (ME) that were classified according to different traffic intensities and dominant land use types along the measurement route. Highest averaged total number concentrations measured at roadside (RO) were 2.5 × 10~4 pt cm~(-3) (with a maximum of 7.6 × 10~4 pt cm~(-3)) during winter and about 1.2 × 10~4 pt cm~(-3) on average during the summer campaign. Measurement spots which are more distant to traffic were characterised by lower concentrations of 1.6 × 10~4 pt cm~(-3) and 9.0 × 10~3 pt cm~(-3) during winter and summer, respectively. Black carbon (BC) concentrations were also clearly related to traffic emissions and resulted in concentrations of 2.8 μg m~(-3) on average (absolute maximum of 6.2 μg m~(-3)) at RO-sites. The concentrations of particles and BC in the different ME (aggregated from the single measurement spots) documented the concentration of both metrics to be a function of distance of the measurement to fresh traffic emissions. A multiple regression based model was established to identify significant parameters which can be used to model the microscale variation of particle NSD in the outdoor ME. Two models with different numbers of input parameters were calculated. The first contained all measured parameters as input, the second only a reduced number consisting of TNC, BC and wind speed. Both models worked convincingly, even the approach with the limited number of input parameters. The average size integrated (TNC) deviation to observed data in all ME during both seasons was <13%. The best agreement between model and observations is given for the near-traffic ME.
机译:进行了移动测量,以研究在2012冬季和夏季期间德国不伦瑞克的11 <D_p <365 nm范围内的粒子数尺寸分布(NSD)的时空变化以及总粒子数和黑碳浓度。 2013。研究区域约1 km〜2由六个不同的室外微环境(ME)组成,这些环境根据测量路线上的不同交通强度和主要土地利用类型进行分类。冬季在路边(RO)测得的最高平均总浓度为2.5×10〜4 pt cm〜(-3)(最大值为7.6×10〜4 pt cm〜(-3)),约为1.2×10〜夏季运动期间平均4 pt cm〜(-3)。距离交通较远的测量点在冬季和夏季的浓度分别较低,分别为1.6×10〜4 pt cm〜(-3)和9.0×10〜3 pt cm〜(-3)。黑炭(BC)的浓度也与交通排放量明显相关,导致RO站点的平均浓度为2.8μgm〜(-3)(绝对最大值为6.2μgm〜(-3))。不同ME中颗粒和BC的浓度(从单个测量点汇总)记录了这两个度量的浓度是测量与新鲜交通排放量的距离的函数。建立了基于多元回归的模型来识别重要参数,这些参数可用于模拟室外ME中颗粒NSD的微观变化。计算了具有不同数量输入参数的两个模型。第一个包含所有测量参数作为输入,第二个仅包含减少的数量,包括TNC,BC和风速。两种模型都能令人信服地工作,即使输入参数数量有限的方法也是如此。在两个季节中,所有ME的平均大小积分(TNC)与观测数据的偏差均<13%。模型和观测值之间的最佳一致性是针对近流量ME。

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