We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Performance of Rapid Sand Filter Dual Media for Microplastic Removal in the Water: The Effect of Microplastic Size and Effective Size of Filter Media
Summary
This study tested how well rapid sand filters with dual media can remove microplastics from drinking water, examining the effects of different microplastic sizes and filter media configurations. Researchers found that filter performance varied depending on the size of the plastic particles and the effective size of the filter media, providing practical insights for improving drinking water treatment systems.
Microplastics (MPs) significantly damage the environment and human health, leading to a growing global concern. MPs have been detected not only in the natural environment but also in the drinking water treatment process. One of the configurations of the drinking water treatment unit is filtration. Only a few research studies have been published on microplastic removal in the water system. This study was conducted to determine the performance of a rapid sand filter (RSF) in removing microplastics in water with a variation in the effective size (ES) of silica sand and microplastic size. In this study, microplastics are artificially made with size variations of < 400 μm and >400 μm. The filtering uses two variations in the adequate size (ES) of silica sand, namely 0.4 mm and 0.7 mm. At the same time, anthracite is only a control variable with ES = 0.69 with a flow speed of 4 m / h and an observation time of 30, 60, 90, and 120 minutes. The results show that the filter media ES 0.4 has the highest efficiency values of 91.30% for the microplastic size MPs <400 µm and 95.80 % for the larger microplastic >400 µm. In addition, the average percentage removal of ES 0.7 mm was 77.24 % for the size of MPs <400 µm and 95.77% for the size of Mps >400 µm. Gaining insight into the mechanisms involved in removing microplastics from drinking water is essential for developing more effective techniques for eliminating them.
Sign in to start a discussion.
More Papers Like This
Performance of rapid sand filter – single media to remove microplastics
This study evaluated the performance of a rapid sand filter as a single-media drinking water treatment step for microplastic removal, finding moderate removal efficiency that varied with particle size and filter operation parameters.
The Effect of Filter Media Size and Loading Rate to Filter Performance of Removing Microplastics using Rapid Sand Filter
This study evaluated how filter media size and hydraulic loading rate affect rapid sand filter performance in removing microplastics from water. Smaller sand media (0.39 mm) and lower loading rates achieved greater MP removal, suggesting that optimizing these parameters can improve conventional water treatment for plastic particles.
Rapid Sand Filtration Technique for Remediation of Microplastics
Researchers tested rapid sand filtration as a technique for removing microplastics from water, evaluating particle removal efficiency across different plastic sizes, shapes, and filter media. The technique achieved meaningful microplastic reduction and was proposed as a practical water treatment enhancement.
Investigations and comparison of a conventional sand filter and a modified sand filter for water purification.
This study compared the performance of conventional sand filters and modified sand filters for purifying drinking water. Improving the efficiency of sand filtration is relevant to microplastics research since enhanced sand filters have shown potential for removing microplastic particles from drinking water supplies.
[Research Progress on Removal of Microplastics by Filtration in Drinking Water Treatment].
This review examines how media filtration at drinking water treatment plants removes microplastics, evaluating filter types, operating conditions, and removal efficiencies reported in the literature. It identifies filtration as a scalable, cost-effective barrier for MP removal and discusses optimisation strategies to improve performance.