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首页> 外文期刊>Aerosol and Air Quality Research >New Technique for Ranking of Air Pollution Monitoring Stations in the Urban Areas Based upon Spatial Representativity (Case Study: PM Monitoring Stations in Berlin)
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New Technique for Ranking of Air Pollution Monitoring Stations in the Urban Areas Based upon Spatial Representativity (Case Study: PM Monitoring Stations in Berlin)

机译：基于空间代表性的城市空气污染监测站排序新技术（案例研究：柏林PM监测站）

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The spatial representativity of monitoring stations plays a major role for the reasonable estimation of air pollutants. The ranking of air pollution monitoring stations based upon their spatial representativity identifies the level of representativeness of the stations and is very useful for developing optimum monitoring networks. In this study, a new ranking method, named RTFI (Ranking Technique based upon Fuzzy Interpolation) is introduced. This ranking method is able to rank air pollution monitoring stations in the urban areas based upon their spatial representativity. Although spatial correlation techniques are often used in the ranking techniques in order to consider spatial representativity, in this ranking technique, the spatial representativity of a station is not limited to its surroundings and is measured independently of its location. RTFI was applied to airborne Particulate Matter (PM) at seven stations in Berlin, and ranked them according to their spatial representativity. The results showed that the Neuk?lln-Nanenstr station (MC 42) is the most spatially representative station among the studied stations.
机译：监测站的空间代表性在合理估算空气污染物中起着重要作用。空气污染监测站基于其空间代表性的排名确定了监测站的代表性水平，对于开发最佳监测网络非常有用。在这项研究中，介绍了一种新的排名方法，称为RTFI（基于模糊插值的排名技术）。这种排序方法能够根据城市地区的空气污染监测站的空间代表性对它们进行排序。尽管在排序技术中通常使用空间相关技术来考虑空间表示性，但是在此排序技术中，站点的空间表示性不限于其周围环境，并且独立于其位置进行测量。 RTFI应用于柏林七个站点的机载颗粒物（PM），并根据其空间代表性对它们进行排名。结果表明，Neuk？lln-Nanenstr站（MC 42）是所研究站中最具空间代表性的站。

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