Issue |
E3S Web Conf.
Volume 76, 2019
The 4th International Conference on Science and Technology (ICST 2018)
|
|
---|---|---|
Article Number | 04001 | |
Number of page(s) | 5 | |
Section | Geomorphology & Atmospheric Science | |
DOI | https://doi.org/10.1051/e3sconf/20197604001 | |
Published online | 15 January 2019 |
Analysis of Java Island’s ozone layer and ultra violet index variability based on satellite data
Center for Atmospheric Science and Technology of LAPAN, Jalan Dr. Djundjunan 133 Bandung, 40173, Indonesia
* Corresponding author: ninongk@yahoo.com; ninong.komala@lapan.go.id
The ozone layer has a very important role in our atmosphere because it can protect every living on the surface of the earth against harmful Ultra Violet-B radiation. This study aims to discuss and analyze the linkages of ozone layer and Ultra Violet index (UVI) in Java Island and using of FFT to find the period that dominates the ozone layer and UVI variation. The results obtained are characteristic of ozone layer and UVI as well as linkage of UVI to ozone layer in Java Island. Using data of the Ozone Monitoring Instrument (OMI) sensor on AURA satellites from 2005—2016 has been obtained monthly, seasonal and annual characteristics for ozone and UVI and the period dominating the variation of the ozone layer and UVI. The ozone layer varied between 238 DU to 277 DU, the annual variation pattern peaked in October and the minimum in January. The UVI varies between 7.8 and 13.6. The annual variation of UVI peaked in October and the minimum in June. Linear regression of the UVI with ozone in December, January and February (DJF) showed a negative correlation coefficient of 0.77 which means there is a strong correlation between decreasing of ozone concentration with increasing of UVI. Variability of Java Island’s ozone layer is dominated by six month, 12-months and 28-months cycles. While UVI most dominated by the cycle of 6 months and 12 months.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.