EXPERIMENTAL AND COMPUTATIONAL ANALYSIS FOR OPTIMIZATION OF SEAWATER BIODEGRADABILITY USING PHOTO CATALYSIS

Seawater pollution is a significant global environmental problem. Various technologies and methods have been used to remove the contaminants found in saltwater. This experimental study investigates degradation of present seawater using solar photocatalysis, where combination TiO2 ZnO was used. The effects catalyst dosage, pH, reaction duration were assessed percentage removal efficiencies total organic carbon (TOC), chemical oxygen demand (COD), biological (BOD), biodegradability (BOD/COD). Biodegradability essential for removing pollutants from saltwater plays vital role. higher biodegradability, more efficient treatment procedure will be. most effective reduction rates data obtained TOC=59.80%, COD=75.20%, BOD=23.94%, biodegradability=0.055. For modeling, optimizing, assessing parameters, Design Expert based on Box Behnken design (RSM-BBD) predictive model MATLAB adaptive neuro-fuzzy inference system (ANFIS) tools coefficient determination R2 be 0.977 RSM-BBD 0.99 ANFIS model. According design, maximum pollutant elimination TOC=55.4, COD=73.4, BOD=23.70%, BOD/COD=0.054, but model, they TOC=59.4, COD=75.4, BOD=24.1%, BOD/COD=0.055. It discovered that outperformed process optimization. ABSTRAK: : Pencemaran air laut adalah masalah alam sekitar yang ketara. Pelbagai teknologi dan kaedah telah digunakan bagi menyingkirkan pencemaran dijumpai dalam laut. Kajian eksperimen ini menilai degradasi hadir menggunakan fotopemangkin, di mana kombinasi digunakan. Kesan dos pemangkin, tempoh reaksi dipantau peratus kecekapan penyingkiran jumlah karbon organik keperluan kimia oksigen biologi kebolehdegradasian Kebolehdegradasian sangat penting bahan cemar dari berperanan penting. Semakin tinggi kebolehdegradasian, semakin cekap prosedur rawatan. Peratus kadar pengurangan paling berkesan daripada didapati pada biodegradasi=0.055. Bagi mengkaji kesan parameter terhadap optimum, memantau keberkesanan parameter, Pakar Reka Bentuk rekaan Kotak ramalan berdasarkan sistem pengaruh iaitu Inferens Neural-Fuzi Boleh Suai Pekali penentu terhasil ANFIS. Berdasarkan reka bentuk RSM-BBD, maksimum tetapi ANFIS, Model lebih proses pengoptimuman.