000 02810ntm a2200373 i 4500
999 _c97632
_d97638
003 MY-KuUP
005 20251125110113.0
006 t||||fr|||| 000 0
007 ta
008 220913t20212021my a|||fr|||| 000 0 eng d
020 _aTHE0009426 (Local)
_qhardback
040 _aUMP
_beng
_cUMP
_erda
090 _aPSM .S93 2021 r Thesis
100 1 _aSyafiqah Hanis Mohd Fauzi
_eauthor.
245 1 0 _aWastewater treatment process:
_ba modified model for oxidation pond /
_cSyafiqah Hanis Mohd Fauzi
264 1 _aPahang :
_bUMP ,
_c2021
264 4 _c© 2021
300 _axi, 100 pages :
_bIllustration ;
_c30 cm.+
_e1 CD ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aCentre for Mathematical Sciences
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2021
504 _aIncludes bibliographical reference
520 3 _aWastewater treatment aims to eliminate suspended solids as many as possible before the remaining water, known as effluent, is released into the environment. Oxidation pond methods have practically been proven successful for the wastewater treatment process due to their low construction and maintenance costs. This study aims to investigate the degradation of wastewater pollutants through an oxidation pond treatment system. The purpose of this thesis is to present the relationship between the concentration of bacteria, which are phototrophic and coliform, chemical oxygen demand (COD), and dissolved oxygen (DO) in the form of modified mathematical model. Additionally, a Graphical User Interface (GUI) which predicting the wastewater treatment process in an oxidation pond is developed in this study. A modified model comprising of a set of ordinary differential equations (ODE) is proposed by incorporating Monod equation for COD. The model has been solved numerically by using the 4th order Runge-Kutta method and a parameter fitting technique namely Nelder-Mead simplex algorithm embedded in MATLAB software. To validate the result, a comparison between the model and the experimental data was carried out and measured by using the root mean squared error (RMSE). As a result, the modified mathematical model demonstrated lower RMSE as compared to the existing model. Since a lower RMSE value indicates better fit, the modified model provided a better approximation than an existing model based on the changes of the amount of concentration in the oxidation pond to produce good quality of water.
610 2 0 _aCentre for Mathematical Sciences
650 0 _aUniversities and colleges
650 0 _aThesis
942 _2lcc
_cTHESIS