Abstract
In the wastewater treatment process, floatation unit have been developed to remove particles or flocs that tend to be difficult to settle, such as fat oil and grease (FOG) and total suspended solids (TSS). Flotation is a unit operation that can separate the liquid phase or solid phase from the liquid phase, this can occur due to the presence of saturated air which is mixed so that it contains fine air bubbles that can help particles or flocs to be separated. This research was conducted by treating industrial area waste water using the flotation method with a pilot plant system. In order to work optimally, there are important parameters in the flotation process, such as debit and recirculation. This study aims to model the removal rate in FOG and TSS in the flotation process with multiple linear regression. From the modeling results, there are two models of FOG and TSS removal rate separately. R square value that obtained is for FOG and TSS removal rate is 0.678 and 0.214 consecutively.
Highlights
Along with the development in industrial sector resulted in a decline in environmental qualities which is closely related to the problem of industrial waste disposal
There are two models that will be obtained from this research, namely modeling the fat oil and grease (FOG) removal rate and modeling the total suspended solid (TSS) removal rate which are carried out separately
The modeling is done by using the Ordinary Least Squares (OLS) algorithm in the statsmodel library from Python
Summary
Along with the development in industrial sector resulted in a decline in environmental qualities which is closely related to the problem of industrial waste disposal. Where the increasing value of turbidity or TSS will result in decreased productivity in the waters [2] From these problems, an effective and efficient processing process is needed to process FOG and TSS. A high detention time will cause the sewage treatment process to take a long time and a large tank capacity, whereas as the flow increases the detention time decreases, allowing a shorter time for the air to be completely dissolved [4]. Another important operational parameter in the flotation process is recirculation. Based on the importance of the influence of operational parameters for the flotation process, especially the operational parameters of discharge and recirculation, this study will conduct a study on the modeling of the reduction in fatty oil content and TSS in the flotation process using multiple linear regression
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