MATEC Web Conf.
Volume 270, 2019The 2nd Conference for Civil Engineering Research Networks (ConCERN-2 2018)
|Number of page(s)||7|
|Section||Water Resources Engineering and Management|
|Published online||22 February 2019|
2-D Numerical modelling of hydrodynamic and sediment transport in Agathis Lake
Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
* Corresponding author: email@example.com
Problems about lakes are inclining every year, especially for water quality problem. Policy decisions to conserve lakes could be well achieved by data prediction. Modelling by using software could describe the future conditions of lake and give policymakers to legislate the best alternative solution. This research studies Agathis lake characteristics. The lake is situated in Universitas Indonesia, Depok, West Java, Indonesia. The research employs Resource Modelling Associates (RMA) program to simulate hydraulic and water quality data. This research will determine the most representative water sampling location and type of TSS for calibration analysis. Next, this research simulates two scenarios of lake’s conditions. The simulation is run by modelling the lake with wetland scenario and with rainy season scenario. After running several iterations, the most representative water sampling location is in the upper part of the water column and the best model of TSS is mixed TSS. Two simulated scenarios produce a reasonable result and could predict the future conditions of Agathis Lake. The research recommends that the sediment trap, that is located in the inlet of the lake, should be well-treated regularly in rainy season, and Universitas Indonesia should manage and arrange the suitable plants to be applied in the future constructed wetland.
© The Authors, published by EDP Sciences, 2019
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.