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基于用于测量空气污染的移动实验室的测量结果分析空气污染。

Analysis of Air Pollution Based on the Measurement Results from a Mobile Laboratory for the Measurement of Air Pollution.

机构信息

Department of Air Protection, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100 Gliwice, Poland.

Department of Safety Engineering, Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, 44-100 Gliwice, Poland.

出版信息

Int J Environ Res Public Health. 2022 Oct 18;19(20):13474. doi: 10.3390/ijerph192013474.

Abstract

One of the most important effects of the smog phenomenon is the presence of high concentrations of substances hazardous to human life and health in the air. Environmental monitoring, including the monitoring of substances hazardous to human life or health, is an element of preventive measures that allow to identify current hazards and to define future actions aimed to improve (protect) the state of the environment. The article presents the results of measurements of the concentration of PM and PM as well as SO, NO, NO and O based on a mobile laboratory located on the campus of the Silesian University of Technology. By treating the following weeks as "objects", points in the multidimensional space (the concentrations of PM and PM as well as SO, NO, NO and O were the measures/describing features), similarities between them were determined, and then they were grouped into the "summer period" (from 01/04/2020 to 30/09/2020) and "winter period" (from 01/01/2020 to 31/03/2020 and from 01/10/2020 to 31/12/2020). The article aimed to determine a linear ordering of weeks divided into the "summer period" and the "winter period". The software MaCzek v. 3.0 (an application working in Windows) was used in the computing layer.

摘要

烟雾现象的最重要影响之一是空气中存在对人类生命和健康有危害的高浓度物质。环境监测,包括对危害人类生命或健康的物质的监测,是预防措施的一个要素,它可以识别当前的危害,并确定未来旨在改善(保护)环境状况的行动。本文介绍了在位于西里西亚技术大学校园内的移动实验室对 PM 和 PM 以及 SO、NO、NO 和 O 的浓度进行测量的结果。通过将以下几周视为“对象”,确定多维空间中的点(PM 和 PM 以及 SO、NO、NO 和 O 的浓度是测量/描述特征)之间的相似性,然后将它们分为“夏季”(从 2020 年 4 月 1 日至 9 月 30 日)和“冬季”(从 2020 年 1 月 1 日至 3 月 31 日和 2020 年 10 月 1 日至 12 月 31 日)。本文旨在确定按“夏季”和“冬季”划分的周的线性排序。在计算层中使用了 MaCzek v. 3.0 软件(在 Windows 中运行的应用程序)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fb9/9602629/319e1954805f/ijerph-19-13474-g001.jpg

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