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首页> 外文期刊>Arabian Journal for Science and Engineering >An Investigation on the Usability of Grass in Short Term Detection of Traffic-Related Pollution
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An Investigation on the Usability of Grass in Short Term Detection of Traffic-Related Pollution

机译：交通相关污染短期检测中草的可用性调查

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摘要

The metal pollution monitoring caused by traffic is a costly application in which appropriate equipment is required as well. In order to avoid such a high cost, monitoring sessions are carried out when they are highly crucial to do. The difference of this study is that the usability of grass in biomonitoring while detecting the pollution caused by traffic in short term was discussed. Considering that grass can grow in a short time even in small areas that it is an all-season plant, the usability of grass as a short term biomonitoring was examined regarding the traffic pollution in Eskisehir's 15 urban roadside locations, a province of Turkey. In this study, 15 days later, samples were collected and copper, iron, nickel, lead and zinc analyses were performed. Heavy metals were determined by ICP-OES in all samples after acid digestion. The results were analyzed statistically by using SPSS 10 software at p < 0.05. The linearity analysis revealed the relationship between pollution and traffic density. The metal levels were significantly different than the corresponding levels at the medium and low traffic density roads. The correlation coefficient found each polluting metals as approximately 0.9 shows that grass can be used in short term biomonitoring of pollution caused by traffic.
机译：交通造成的金属污染监测是一项昂贵的应用，其中还需要适当的设备。为了避免如此高的成本，在非常重要的时候进行监视会话。这项研究的不同之处在于，讨论了草在短期内检测交通污染造成的生物监测中的可用性。考虑到草是全季节植物，即使在很小的区域中也可以在短时间内生长，因此针对土耳其埃斯基谢希尔15个城市路边地点的交通污染，对草作为短期生物监测的可用性进行了研究。在这项研究中，15天后，收集了样品并进行了铜，铁，镍，铅和锌的分析。酸消解后，通过ICP-OES测定所有样品中的重金属。使用SPSS 10软件以p <0.05进行统计分析。线性分析揭示了污染与交通密度之间的关系。金属水平与中低交通密度道路上的相应水平明显不同。发现每种污染金属的相关系数约为0.9，表明草可用于对交通造成的污染进行短期生物监测。

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