The lack of safe drinking water worldwide has drawn the attention of decision makers to riverbank filtration (RBF) for its many advantages in purifying surface water. This study provides an overview of the hydrogeologic, fluvial, and environmental influences on the performance of RBF systems and aims to develop a model for RBF site selection. Using multi-attribute utility theory (MAUT), this study structured the RBF siting problem and assessed a multiplicative utility function for the decision maker. In a case study, geostatistical methods were used to acquire the necessary data and geographic information systems (GIS) were used to screen sites suitable for RBF implementation. Those suitable sites were then evaluated and ranked using the multi-attribute utility model. The result showed that sites can be identified as most preferred among the selected suitable sites based on their expected utility values. This study definitively answers the question regarding the capability of MAUT in RBF site selection. Further studies are needed to verify the influences of the attributes on the performance of RBF systems.:Abstract iii
Zusammenfassung iv
Acknowledgments v
Table of Contents vi
List of Tables viii
List of Figures x
Definition of terms xiii
1. Abbreviations xiii
2. Symbols xiii
Part I Introduction 1
1. Introduction 2
2. Statement of purpose 2
3. Research questions 3
4. Overview of methodology 3
5. Organization of the dissertation 3
Part II Fundamentals and Literature Review 5
1. The definition of bank filtration 6
2. The Significance of RBF 7
2.1 RBF in drinking water supply 7
2.2 Benefits of RBF for China 14
3. RBF Site Selection 19
3.1 RBF site selection model 20
3.2 Definition of successful RBF sites 24
4. Factors Affecting RBF Site Selection 26
4.1 River hydrology/hydraulics 27
4.2 Geology 28
4.3 Land cover 36
4.4 Well field location 36
4.5 Water quality 37
4.6 Aquifer properties 38
4.7 Distance to river 41
4.8 Riverbed characteristics 43
5. Effect of Clogging on Yield 46
6. Summary 51
Part III Developing a Multi-attribute Utility Model for RBF Site Selection 53
1. Introduction 54
2. Objectives and Attributes 54
3. Assessment of the Utility Function 57
3.1 Investigation of the qualitative preference structure 58
3.2 Assessment of component utility function 62
3.3 Assessment of the scaling constants 63
4. Results 67
5. Discussion 69
6. Summary 74
Part IV Case Study 75
1. Introduction 76
2. Materials and Methods 78
2.1 GIS data collection 78
2.1.1 Geologic data 79
2.1.2 Land cover data 79
2.1.3 Groundwater quality data 80
2.1.4 Aquifer properties data 80
2.1.5 Surface water area data 80
2.1.6 Surface water quality data 81
2.1.7 Streambed material data 81
2.2 Kriging the saturated thickness 91
2.3 Aggregation of all constraint maps 103
3. Results 105
3.1 Kriging 105
3.2 Suitable sites 105
4. Discussion 109
4.1 A discussion of the kriging results 109
4.2 A discussion of the multi-attribute utility model results 117
5. Summary 122
Part V Conclusions and Recommendations 123
1. Conclusion and Recommendation 124
Appendix 1 Environmental quality standards for surface water (GB 3838-2002) 125
Appendix 2 Quality standard for groundwater (GB14848-93) 127
Appendix 3 Explanation to Germany’s RBF site location data 130
Appendix 4 Layer information of drillings 133
Appendix 5 Streambed materials used by Schälchli (1993) 141
Appendix 6 Interview and questionnaires 143
Appendix 7 Surface water area of Jilin City 150
Bibliography 152
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:73296 |
| Date | 12 January 2021 |
| Creators | Zhou, Yan |
| Contributors | Liedl, Rudolf, Kolditz, Olaf, Weiß, Holger, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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