Severe environmental pollution could occur in water bodies which serve as the discharge sites for improperly treated palm oil mill effluent (POME). This is because POME increases the chemical oxygen demand (COD) and suspended solids (SS) of the water body. This issue is addressed by investigating the use of raw and calcined limestone (800 °C) in a horizontal roughing filter to eliminate SS from POME in this work. The horizontal roughing filter was designed using various sizes of limestone (4 mm, 12 mm, and 20 mm) at various filtration rates (20, 60, and 100 mL/min). In order to model the experimental design, a method achieving ideal process conditions and optimum values of process variables, central composite design (CCD), and response surface methodology (RSM) were employed. From the column study conducted, a higher SS removal (75%) was obtained at a lower flow rate together with a smaller-sized (4 mm) calcined limestone (LS). The statistical analysis produced an SS removal model with considerable probability values (0.000). The Langmuir and Freundlich isotherms were also used to characterize the adsorption equilibrium during the removal of SS. However, the Langmuir isotherm proved to best fit the data.

在水体中可能会造成严重的环境污染，这些水体是未经适当处理的棕榈油厂废水（POME）的排放点。这是因为POME增加了水体的化学需氧量（COD）和悬浮固体（SS）。通过研究在水平粗滤器中使用生石灰和煅烧石灰石（800°C）来消除POME中的SS，可以解决此问题。使用各种尺寸的石灰石（4 mm，12 mm和20 mm）以各种过滤速率（20、60和100 mL / min）设计卧式粗滤器。为了对实验设计进行建模，采用了一种实现理想过程条件和最佳过程变量值的方法，中央复合设计（CCD）和响应面方法（RSM）。根据进行的专栏研究，在较低的流速下获得了更高的SS去除率（75％），以及较小尺寸（4 mm）的煅烧石灰石（LS）。统计分析产生了具有相当大概率值（0.000）的SS去除模型。Langmuir和Freundlich等温线也用于表征去除SS期间的吸附平衡。但是，事实证明Langmuir等温线最适合该数据。