The ambient air quality is a well-known problem for big cities with dense population and high traffic volume. The traditional way for monitoring air quality is using stationary measurement stations. However, the main disadvantages are limited spatial resolution and restricted possibility of mapping spatial distributions of air pollutants. To provide high spatial and temporal resolution, mobile measurements are necessary. This study aims to investigate the air quality of a German city i.e. Stuttgart and the impact of local traffic on the pollutant concentrations by performing mobile measurements using a bicycle platform named as MOBAIR.

In this investigation a bicycle was equipped with different measurement devices to measure air pollutants such as nitrogen oxides (NO and NO₂), ozone (O₃), Particulate Matter (PM), Ultrafine Particles (UFP) and Black Carbon (BC) as well as meteorological parameters such as air temperature, relative humidity, air pressure, wind speed, wind direction and solar radiation. A GPS device was used to relate the measured parameters to the location and a camera was installed to relate the measurement data to special events. The measurement route was around 12 km long covering a part of the city center with high traffic roads as well as side roads and a park in order to obtain a broader picture and to identify the contribution of traffic to the air quality in the measurement area. A total of around 120 trips of the 12 km route were performed in 14 measurement days in the months of February, June and July 2018 including each hour of the day and main seasons. In order to validate the measured results, the NO₂ and NO_X concentrations were measured at 16 different stationary locations along the bicycle route for a longer period using passive samplers.

对于人口密集，交通流量大的大城市来说，周围空气质量是一个众所周知的问题。监视空气质量的传统方法是使用固定的测量站。但是，主要缺点是空间分辨率有限，并且无法绘制空气污染物的空间分布图。为了提供高空间和时间分辨率，必须进行移动测量。这项研究旨在通过使用名为MOBAIR的自行车平台进行移动测量，来调查德国城市斯图加特的空气质量以及当地交通对污染物浓度的影响。

在此调查中，自行车配备了不同的测量设备，以测量空气污染物，例如氮氧化物（NO和NO ₂），臭氧（O _3）），颗粒物（PM），超细颗粒物（UFP）和黑碳（BC）以及气象参数，例如气温，相对湿度，气压，风速，风向和太阳辐射。使用GPS设备将测量的参数与位置相关联，并安装了摄像头以将测量数据与特殊事件相关联。测量路线长约12公里，覆盖了市区的一部分，交通繁忙，道路，人行道和公园都在，以便获得更宽广的图景并确定交通对测量区域空气质量的影响。在2018年2月，6月和7月的14个测量日中，包括一天中的每个小时和主要季节，在12个测量日内总共进行了12公里路线的约120次旅行。为了验证测量结果，NO使用无源采样器在更长的时间内在自行车路线的16个不同固定位置测量了₂和NO _X的浓度。