Empirical Regression Model for Biochemical Oxygen Demand Removal in Solar Enhanced Waste Stabilization Ponds

作者: T. Tivde , N. M. Ogarekpe , J. T. Utsev

DOI: 10.3968/J.EST.1923847920130502.2512

关键词:

摘要: Consequent on the findings that a Solar Enhanced Waste Stabilization Pond (SEWSP) will increase treatment efficiency thereby reduce large land area requirement; hence, this study aims at developing an empirical regression model for prediction of Biochemical Oxygen Demand removal SEWSPs sewage treatment. were constructed varying sizes made metallic tank with inlet and outlet valves, solar reflector to incident sunlight intensity. Physio-chemical biological characteristics wastewater samples collected from different points (inlet outlets) examined period two months. The parameters were: Efficiency BOD in %, E Coli Dissolve mg/l, COD Suspended Solid Temperature in0C, Detention Time days coliform. Discussions revealing relationship between depth SEWSP efficiency.An correlation predicting was developed thus y = - 0.292X1 – 0.1011X2 + 0.876X3 0.148X4 0.087X5 +0.012X6 22.939 together MATLAB solver easy computation.

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