Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.1007/s12517-021-07953-z |
| Influence of sandstorm on air pollution based on Gaussian mixture model and sports detection | |
| Li, Xu | |
| 通讯作者 | Li, X (corresponding author), Northeast Petr Univ, Daqing 163318, Heilongjiang, Peoples R China. |
| 来源期刊 | ARABIAN JOURNAL OF GEOSCIENCES
 |
| ISSN | 1866-7511 |
| EISSN | 1866-7538 |
| 出版年 | 2021 |
| 卷号 | 14期号:15 |
| 英文摘要 | Gaussian mixture model (GMM) is widely used in pattern recognition, computer vision, machine learning, data mining, and bioinformatics. In these areas, it is used to perform tasks such as image segmentation, grouping, and probability density function construction. At the same time, the research on the air pollution caused by sandstorm has also been widely concerned and recognized. The atmospheric boundary layer is an important environment for the exchange of material and energy between the earth's surface and the atmosphere. The formation of storms is closely related to the boundary layer process. Dust weather is a disastrous climate closely related to the boundary layer, which has a significant impact on human life, production, and ecological environment. The arid and semi-arid area of Northwest China has become one of the dustiest areas in China due to its special geographical location and climatic conditions and has very unique atmospheric boundary layer characteristics. The characteristics of boundary layer height and its influence on dust emission time are studied. Gene testing technology can evaluate the scientific basis and current state of sports ability and discuss how to standardize the gene testing of sports ability from the moral point of view. Put forward and improve the relevant legal and ethical standards to protect genetic privacy; improve the system and industry standard of gene detection; through the genetic test of sports ability, we can prevent the misjudgment of sports potential and influence the choice of sports. In this paper, through the research of Gaussian mixture model technology, it is applied to the air pollution in sandstorm and sports activities, which greatly improves the pollution situation of sandstorm weather. |
| 英文关键词 | Gaussian mixture model Dust storm and air pollution Athletic sports Detection research |
| 类型 | Article |
| 语种 | 英语 |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000691885800012 |
| WOS关键词 | PROBABILISTIC RISK-ASSESSMENT ; DRINKING-WATER ; AQUEOUS-SOLUTION ; TAMIL-NADU ; FLUORIDE ; GROUNDWATER ; EXPOSURE ; DISTRICT ; REMOVAL ; NANOCOMPOSITE |
| WOS类目 | Geosciences, Multidisciplinary |
| WOS研究方向 | Geology |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/362548 |
| 作者单位 | [Li, Xu] Northeast Petr Univ, Daqing 163318, Heilongjiang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xu. Influence of sandstorm on air pollution based on Gaussian mixture model and sports detection[J],2021,14(15). |
| APA | Li, Xu.(2021).Influence of sandstorm on air pollution based on Gaussian mixture model and sports detection.ARABIAN JOURNAL OF GEOSCIENCES,14(15). |
| MLA | Li, Xu."Influence of sandstorm on air pollution based on Gaussian mixture model and sports detection".ARABIAN JOURNAL OF GEOSCIENCES 14.15(2021). |
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