{"title":"Trace Metals Pollution in Ambient Air of Urban and Rural Coastal Environments","authors":"","doi":"10.30955/gnj.005174","DOIUrl":null,"url":null,"abstract":"<p>Air pollution in coastal areas will have a different pattern from mountainous areas due to different wind patterns during the day and night. The city of Semarang, as a representation of urban areas, and Jepara Regency, as a representation of the rural regions, were chosen for this sampling. 24-h fine particulate matter (PM2.5) was collected within 3 months of sampling. In this study, seven metal elements derived from this PM2.5 were quantified using ICP MS. The analytical method used is a descriptive analysis of the obtained metal element data, enrichment factor (EF), Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) modeling and sources pollutant estimation. The results of the study showed that the stannum (Sn) metal was found in almost all study locations. Sn, K, and Fe are the dominant metals found in urban areas, whereas, in rural areas, only the Sn metal is quite abundant. Nevertheless, the results of EF calculations show that the most significant enrichment in both villages and cities is Sn. Allegedly, this enrichment occurred because of dense activity in the transportation sector and metal industry in urban areas, which brought metals to three villages in Jepara Regency. This research can be used as the main reference in determining health risks associated with metal pollution in atmospheric particulate matter.</p>
","PeriodicalId":55087,"journal":{"name":"Global Nest Journal","volume":"24 9","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Nest Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30955/gnj.005174","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Air pollution in coastal areas will have a different pattern from mountainous areas due to different wind patterns during the day and night. The city of Semarang, as a representation of urban areas, and Jepara Regency, as a representation of the rural regions, were chosen for this sampling. 24-h fine particulate matter (PM2.5) was collected within 3 months of sampling. In this study, seven metal elements derived from this PM2.5 were quantified using ICP MS. The analytical method used is a descriptive analysis of the obtained metal element data, enrichment factor (EF), Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) modeling and sources pollutant estimation. The results of the study showed that the stannum (Sn) metal was found in almost all study locations. Sn, K, and Fe are the dominant metals found in urban areas, whereas, in rural areas, only the Sn metal is quite abundant. Nevertheless, the results of EF calculations show that the most significant enrichment in both villages and cities is Sn. Allegedly, this enrichment occurred because of dense activity in the transportation sector and metal industry in urban areas, which brought metals to three villages in Jepara Regency. This research can be used as the main reference in determining health risks associated with metal pollution in atmospheric particulate matter.
期刊介绍:
Global Network of Environmental Science and Technology Journal (Global NEST Journal) is a scientific source of information for professionals in a wide range of environmental disciplines. The Journal is published both in print and online.
Global NEST Journal constitutes an international effort of scientists, technologists, engineers and other interested groups involved in all scientific and technological aspects of the environment, as well, as in application techniques aiming at the development of sustainable solutions. Its main target is to support and assist the dissemination of information regarding the most contemporary methods for improving quality of life through the development and application of technologies and policies friendly to the environment