| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 03017 | |
| Number of page(s) | 6 | |
| Section | Environmental Management and Spatial Planning | |
| DOI | https://doi.org/10.1051/e3sconf/20187303017 | |
| Published online | 21 December 2018 | |
Determination Of Heavy Metals (Pb, Zn, Cd, Cu) of Coastal Urban Area of Semarang Indonesia
1 Master Program of Environmental Science, School of Postgraduate Studies, Diponegoro University, Semarang – Indonesia
2 Master Program of Environmental Science, School of Postgraduate Studies, Diponegoro University, Semarang – Indonesia
* Corresponding author: bobaker86@yahoo.com
This research aimed to determine the concentrations of heavy metals (Cu, Zn, Pb, Cd) pollutants in coastal sediment, Semarang. This research would be conducted in 2017 with the location of sampling and water quality measurement conducted at Usman Janatin Street, Semarang. The sample analysis would be conducted at the Diponegoro University Integrated Laboratory. In this research was focused on deep and width. According to some previous studies such as study done by Mancuso and Green (2010) that stated the TAL metals analysis results gave a wide scope of the concentration of metals in coastal urban area. Based on the analysis and result, the conclusion as follows:There was relationship between levels of heavy metals and external environment. The relationship was positive, it means the higher levels of heavy metals, the external environment would be more polluted. The lower levels of heavy metals, the external environment would be low polluted. The internal levels of coastal sediment could be used as an index to infer the state of the environmet. This heavy metals determination tool couldbe used to support policy and decision-making.
Key words: Pb / Zn / Cd / Cu
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.