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Marine Sample Analysis Using Statistical Methods: Distribution of Plutonium (Pu) Isotopes Using MC-ICP-MS (Multi-Collector Inductively Coupled Plasma Mass Spectrometry)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tamim, Umma Choi, In-Hee |
| Copyright Year | 2018 |
| Abstract | Environmental monitoring programs generate a large bulk of data, which can provide a great deal of information about pollution, trend, the effectiveness of policy, with suitable statistical analysis. However, to obtain meaningful statistical results, the data used for analysis must be accurate, reliable, and meet certain data quality objectives. So statistical analysis and quality assurance are two essential aspects of monitoring [1]. In modern days, plutonium isotopes has been released into the environment from atmospheric nuclear weapons testing, various accidents involving nuclear material and nuclear fuel reprocessing plants [2]. Plutonium (Pu) isotopes generally found in the environment are 238 Pu, 239 Pu, 240 Pu and 241 Pu, of which 239 Pu (t1/2= 24100 year) and 240 Pu (t1/2= 6571 year) are the two most important and abundant isotopes. From the viewpoint of toxicity and long half-life, many research programs has been carried out to study the distribution of Pu in environmental media so far [3-5]. This study concentrates on two common statistical methods and applied to distribute the Plutonium isotopes (concentration of 239 Pu+ 240 Pu and 240 Pu/ 239 Pu atom ratios) by using ICP-MS in sediment and seawater samples around the Nuclear Power Plant in South Korea. These are (1) confidence interval and (2) correlation coefficient. The confidence interval is the characteristics associated with data distribution whereas the correlation coefficient is a way to quantify the linear relationship between two random variables. The statistical methods are using to discuss the various environmental problems [6-13]. For solving the environmental problems, it is usually concentrated on how common statistical methods can be used. Among them, few have focused on the inaccuracy of the statistical methods. This paper will discuss the two statistical methods as applied to collected marine sample analysis data. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.kns.org/files/pre_paper/40/18A-212Umma.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
