MICROPLASTIC REMOVAL USING CLOTH FILTER BASED ON MICROPLASTIC CHARACTERISTICS IN CITEPUS RIVER (UPSTREAM OF THE CITARUM RIVER)

The spread of microplastic to the environment will ultimately have an impact on humans. Although its influence on human health has not been clearly identified, efforts should be made to prevent microplastic spread so that water consumed by humans is expected to be free from contamination. This study...

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Bibliographic Details
Main Author: Ode Sitti Warsita Mahapati, Wa
Format: Theses
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/40387
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The spread of microplastic to the environment will ultimately have an impact on humans. Although its influence on human health has not been clearly identified, efforts should be made to prevent microplastic spread so that water consumed by humans is expected to be free from contamination. This study aims to analyze the effectiveness and mechanism of cloth filters in microplastic removal and analyze the effect of research variables on the performance of filter media. The variables in this study were microplastic size, media porosity, operating time and filtration speed. The results showed that filters with 194µm, 115µm, and 57.5 µm porosity had microplastic removal of 53%, 62.4% and 87.7% respectively, with microplastic sizes removed from ?60 µm to 1000 µm. This shows that the greater the porosity of the filter, the ability to remove microplastic will decrease. The removal efficiency will also decrease with increasing filtration speed used. The tensile stress and elongation test results show that the filter with a porosity of 194 µm has the best quality filter material but does not affect the allowance due to its large pore size. Filter cloth with 194 µm and 115 µm porosity showed that microplastic size, flow velocity and operating time had a significant effect on allowance (p <0.05). In the 57.5µm filter, the size of the microplastic did not affect the microplastic removal (p-value> 0.05) while the filtration speed and operating time had a significant effect on the allowance. Regression coefficient for filter media 194 µm, 115 µm, and 57.5 µm was 74.5%, 76.3%, 73.9%.