Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
---|---|---|
Article Number | 13014 | |
Number of page(s) | 5 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819713014 | |
Published online | 12 September 2018 |
Correlation of physics and chemical factors on phytoplankton distribution pattern in North Sunter Reservoir, Jakarta
Trisakti University, Environmental Engineering, Faculty of Landscape Architecture and Environmental Technology, Jakarta, 11440, Indonesia
* Corresponding author: dianahendrawan@trisakti.ac.id
This study aims to determine the condition of the waters of the North Sunter Reservoir through the distribution pattern of phytoplankton and the influence of the physical and chemical aspects of the waters on the presence of phytoplankton. The study was conducted from August 2017 to January 2018 with 12 sampling points. Phytoplankton sampling was performed vertically on two different segments each with a depth range of 0-1.9 meters and 1.9-3.9 meters using planktonet number 25. Research shows that phytoplankton can live on the bottom of the reservoir with little sunlight conditions due to the large concentration of nitrate and phosphate. The abundance of phytoplankton in segment 1 (7,104-219,820 cells/L) and segment 2 (9,771-132,313 cells/L) consisted of 4 phyla namely Cyanophyta (8 genera), Chrysophyta (10 genera), Chlorophyta (16 genera), and Euglenophyta (4 genera). The index of the diversity of phytoplankton in segment 1 (1.22-2.39) and segment 2 (1.14-2.13), everness index on segment 1 (0.47-0.85) and segment 2 (0.45-0.85), dominance index in segment 1 (0.12-0.76) and on segment 2 (0.16-0.52). The distribution of phytoplankton in North Sunter Reservoir is uniformly distributed by current and nutrients. This research serves as an adjunctive decision-making factor over the appropriate follow-up management methods.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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.