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首页> 外文期刊>Atmospheric environment >Assessment of an air pollution monitoring network to generate urban air pollution maps using Shannon information index, fuzzy overlay, and Dempster-Shafer theory, A case study: Tehran, Iran
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Assessment of an air pollution monitoring network to generate urban air pollution maps using Shannon information index, fuzzy overlay, and Dempster-Shafer theory, A case study: Tehran, Iran

机译:使用Shannon信息索引,模糊覆盖和Dempster-Shafer理论评估空气污染监测网络以生成城市空气污染图,案例研究:伊朗德黑兰

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Air pollution assessment is an imperative part of megacities planning and control. Hence, a new comprehensive approach for air pollution monitoring and assessment was introduced in this research. It comprises of three main sections: optimizing the existing air pollutant monitoring network, locating new stations to complete the coverage of the existing network, and finally, generating an air pollution map. In the first section, Shannon information index was used to find less informative stations to be candidate for removal. Then, a methodology was proposed to determine the areas which are not sufficiently covered by the current network. These areas are candidates for establishing new monitoring stations. The current air pollution monitoring network of Tehran was used as a case study, where the air pollution issue has been worsened due to the huge population, considerable commuters' absorption and topographic barriers. In this regard, O-3, NO, NO2, NOX, CO, PM10, and PM2.5 were considered as the main pollutants of Tehran. Optimization step concluded that all the 16 active monitoring stations should be preserved. Analysis showed that about 35% of the Tehran's area is not properly covered by monitoring stations and about 30% of the area needs additional stations. The winter period in Tehran always faces the most severe air pollution in the year. Hence, to produce the air pollution map of Tehran, three-month of winter measurements of the mentioned pollutants, repeated for five years in the same period, were selected and extended to the entire area using the kriging method. Experts specified the contribution of each pollutant in overall air pollution. Experts' rankings aggregated by a fuzzy-overlay process. Resulted maps characterized the study area with crucial air pollution situation. According to the maps, more than 45% of the city area faced high pollution in the study period, while only less than 10% of the area showed low pollution. This situation confirms the need for effective plans to mitigate the severity of the problem. In addition, an effort made to investigate the rationality of the acquired air pollution map respect to the urban, cultural, and environmental characteristics of Tehran, which also confirmed the results. (C) 2017 Elsevier Ltd. All rights reserved.
机译:空气污染评估是大城市规划和控制的必要部分。因此,本研究引入了一种新的综合方法来进行空气污染监测和评估。它包括三个主要部分:优化现有的空气污染物监测网络,定位新的站点以完成现有网络的覆盖范围,最后生成空气污染图。在第一部分中,使用了Shannon信息索引来查找较少的信息台,以便将其删除。然后,提出了一种方法来确定当前网络未充分覆盖的区域。这些区域是建立新的监测站的候选人。以德黑兰目前的空气污染监测网络为例,由于人口众多,通勤者的大量吸收和地形障碍,空气污染问题变得更加严重。在这方面,O-3,NO,NO2,NOX,CO,PM10和PM2.5被认为是德黑兰的主要污染物。优化步骤得出的结论是,应保留所有16个活动监视站。分析表明,德黑兰大约35%的地区没有被监测站正确覆盖,大约30%的该地区需要额外的监测站。德黑兰的冬季始终是一年中最严重的空气污染。因此,为了制作德黑兰的空气污染图,选择了在同一时期内重复进行了五年的冬季三个月的上述污染物的冬季测量,并使用克里金法将其扩展到整个区域。专家指出了每种污染物在总体空气污染中的贡献。通过模糊叠加过程汇总专家排名。生成的地图以关键的空气污染状况为研究区域定性。根据地图,在研究期间,超过45%的城市区域面临着高污染,而只有不到10%的城市处于低污染。这种情况证实了需要有效的计划来减轻问题的严重性。此外,还努力调查获取的空气污染图关于德黑兰的城市,文化和环境特征的合理性,这也证实了结果。 (C)2017 Elsevier Ltd.保留所有权利。

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