Modeling of Domestic Wastewater Treatment Facultative Stabilization Ponds
processes of Biological treatment intend to reduce the organic matter content by using microorganisms. Problems, which often occur in the treatment process, include the Wastewater Treatment Plant (WWTP) being planned for treating domestic wastewater only, but in fact the WWTP often receives non-d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2015-10-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1399 |
| Summary: | processes of Biological treatment intend to reduce the organic matter content
by using microorganisms. Problems, which often occur in the treatment process,
include the Wastewater Treatment Plant (WWTP) being planned for treating
domestic wastewater only, but in fact the WWTP often receives non-domestic
wastewater particularly direct or indirect faecal deposits. There are 13
simultaneous systems of nonlinear differential equations using the method of
Runge-Kutta-Fehlberg (RKF45). Data validation is measured in a facultative
stabilization pond at a distance of 0 m, 25 m, 50 m and 75 m respectively.
Samples are taken at the inlet and outlet of the pond covering the
concentration of Bacteria (B), Algae (A), Zooplankton (Z), Organic Matter (OM),
Detritus (D), Organic Nitrogen (ON), Ammonia (NH3), Organic
Phosphorus (OP), Soluble Phosphorus (SP), Dissolved Oxygen (DO), Total
Coliform (TC), Faecal Coliform (FC), and Biochemical Oxygen Demand (BOD). The research comparing
observation and count data results in 11 kinds of concentration that have a
relative error <20% and 2 concentrations > 20%, namely Chemical
Oxygen Demand (COD) and Faecal Coliform.(FC).
Wastewater quality is predicted with 45o angle charts and tolerance
± 20%, respectively for BOD (76.8%), COD (57.7%) and DO (81.9%). The model, as
a means for performance evaluation of the WWTP, is appropriate for Class II
water quality standards. |
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| ISSN: | 2086-9614 2087-2100 |