EVALUATION OF WATER QUALITY MODELLING PARAMETERS: TOWARDS THE EVOLVEMENT OF RE-AERATION COEFFICIENT FOR RIVERS IN THE NIGERIAN ENVIRONMENT

By

DAVID OLUGBENGA OMOLE B.Eng (FUTA), M.Eng (COVENANT), MNSE, COREN Matric. No: CUGP040092

Presented To

Department of Civil Engineering

ABSTRACT
This study was carried out on River Atuwara in Ota, Ogun State, Nigeria with the aim of developing a coefficient of re-aeration model applicable to River Atuwara and other rivers in the Nigerian environment. This was achieved by sourcing for data once every month from 22 sampling locations of interest within a pre-selected segment of the river over a period covering the dry and wet seasons. The data collected include hydraulic data (depth, width, velocity and time of travel) and water quality data such as Dissolved Oxygen (DO) and Biochemical Oxygen Demand (BOD). Excel Spreadsheet and MATLAB were used for data processing. Regression analysis was carried out where stream velocity and depth were the regressors and the re-aeration constant k2 (as a function of BOD, DO and Temperature) was the dependent variable.  A coefficient of re-aeration, k2, (Atuwara re-aeration model) was developed and validated statistically. Its performance was also verified by comparing the model with 10 other internationally recognized models. It was  found that even though Atuwara model performed better than Agunwamba model and most of the other well cited models, both Atuwara model and Agunwamba model could be safely adopted for future water quality modelling researches in the Nigerian environment.  Results of detailed water analysis of samples from River Atuwara shows high level of pollution hence it is unfit for human consumption without adequate treatment. It is recommended that River Atuwara and similar rivers in the country should be regularly monitored for quality control.
TABLE OF CONTENTS      PAGE
Title Page          i  
Declaration         ii  
Certification         iii
Dedication          iv
Acknowledgement        v
Table of Contents         vii
List of Figures         x
List of Tables         xi
List of Plates         xiv
Abbreviations and Symbols       xv
Abstract          xvi
 
CHAPTER ONE: INTRODUCTION
1.1  Background Information       1                             
1.2   Water Quality modelling       3
1.3   Description of Study Location     5
1.4   Statement of The Problem      6
1.5   Aim         6
1.6   Objectives        6
1.7   Significance of Study       6
1.8   Scope of Study       7
 
   CHAPTER TWO: LITERATURE REVIEW
2.1  Water Quality Modelling as a Field of Study    8
2.2   Coefficient of Re-aeration, k2      9
2.2.3  The Indian k2 Model       13
2.2.4  The Chilean k2 Model       14
2.2.5  The Nigerian k2 Model     15
2.3    Water Laws and Standards       15
2.4    Statistical Analysis       17
2.4.1  Some Relevant Statistical Operations   17
2.4.2  Statistical Software     19
2.4.3  Model Calibration and Validation in Water Quality
Data       20
2.4.3.1      Sum of Squares Due to Error  21
2.4.3.2      R-Square        21
2.4.3.3      Degrees of Freedom Adjusted R-Square 22
2.4.3.4      Root Mean Squared Error   22
 
CHAPTER THREE: METHODOLOGY  
        3.1   Selection of the Study Area       24
       3.2   Determination of Sampling Stations      27
       3.3   Field Activities        49
  3.3.1  Field Observations      31
  3.3.2  Field Sampling Visits      31
   3.3.2.1     Rationale for Gathering Data Once Every Month  32
    3.3.2.2     Activities During the Field Exercises  33
            3.4     Materials        34
            3.5     Laboratory Analysis       36
       3.6     Data Analysis        37
            3.6.1    Time of Travel       38
           3.6.2    Re-aeration Coefficient Model     39
 
CHAPTER FOUR: DATA PRESENTATION AND INTERPRETATION
  4.1 Data Gathering       40
   4.1.1   Hydraulic Data      41
   4.1.2   Physico-Chemical Data     50
    4.1.3  Monthly Variations in DO, Temperature, Stream Depth       57
   4.2  Computation of Measured k2                                                              63
            4.3  Re-arrangement of Sampling Stations    67
4.3.1  Time of Travel      68
4.3.2  Hydraulic Radius                 80
4.3.3  Ultimate BOD and De-oxygenation Rate              80
4.3.4  Saturation DO and the Upstream and Downstream DO deficits  80
 4.3.5  Determination of k2                 80
4.3.6  Model Parameters                 80
4.3.7  The Model                  83
4.3.8  Comparison with other Selected Models              83
4.4  Water Use Practices                             103
 4.5       Pollutants and Public Health Implications              106
 
CHAPTER FIVE: CONCLUSION AND RECOMMENDATION
5.1  Conclusion                  110
5.2 Contribution to Knowledge                111
5.3  Recommendations                 111
       
REFERENCES                   113
 
APPENDICES  

Appendix 1: Matlab Code for Beta               121
Appendix 2: Matlab Model Output                          128
Appendix 3: Matlab Code and Output for Plot of all Models           132
Appendix 4: Mix Calculations               140
Appendix 5: Laboratory Reports               147  
Appendix 6: Procedure for data Analysis              160


LIST OF FIGURES                                           PAGE

Figure 1.1 - Nigerian Household distribution by source of water supply  2
Figure 1.2 - Nigerian Household distribution by Toilet Facilities   3
Figure 1.3 â€" General Layout of the Study area     5
Figure 3.1â€" Field Sampling Stations       28
Figure 3.2 â€" Linear representation of Sampling Points    29
Figure 3.3 - Sampling Cross-section       33
Figure 4.1 â€" An 8-month mean stream velocity record    59
Figure 4.2 â€" An 8-month mean ambient temperature record    60
Figure 4.3 â€" An 8-month mean water temperature record    61
Figure 4.4 â€" An 8-month mean stream depth record      61
Figure 4.5 â€" DO Fluctuations over an 8-month period    62
Figure 4.6 - Flowchart showing the progression of the statistical analysis            86
Figure 4.7 â€" Plot of 11 models using January data                93
Figure 4.8 â€" Plot of measured k2 against computed k2 using January data            94
Figure 4.9 â€" Plot of 11 models using March data                96
Figure 4.

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