Over the past decades, climate change and urbanization have altered the regional hydro-environments, causing a series of stormwater management problems including urban flood and non-point pollution. Low impact development (LID) has been identified as a sustainable strategy for stormwater management. However, given the complex impacts of climate change and urbanization on hydro-environments, the performance of LID strategy under future changes remains largely unexplored. Accordingly, this research characterized the LID performance under changes in climate and urbanization. To provide an additional reference to sustainable stormwater management, the following specific topics were addressed:
(1) Through hydraulic and water quality modeling, the LID performances of flood mitigation and pollution removal were systematically evaluated at the city scale.
(2) Through uncertainty analysis, the impact of model parameter uncertainty on the LID performance was taken into account.
(3) Through sensitivity analysis, the impact of LID technical parameters (e.g., surface features, soil textures) on the LID performance was quantified.
(4) Through scenario analysis, the LID performances under different hydrological patterns were compared.
(5) Through spatial analysis, the distribution of LID performance on different land-cover types was determined.
(6) Through adopting general circulation model (GCM) projections, the LID performance under future climate scenarios with different representative concentration pathways (RCPs) was investigated.
(7) Through adopting integrated assessment model (IAM) projections, the LID performance under future urbanization scenarios with different shared socioeconomic pathways (SSPs) was explored.
(8) By coupling climate and urbanization projections with land-cover distribution, the spatiotemporal trends of LID performance in the future were characterized.:Table of Contents
List of Abbreviations VII
List of Peer-Reviewed Publications on the Ph.D. Topic IX
List of Co-authored Peer-Reviewed Publications on the Ph.D. Topic X
1 General Introduction 1
1.1 Background 1
1.2 Objectives 3
1.3 Innovation and Contribution to the Knowledge 3
1.4 Outline of the Dissertation 4
1.5 References 5
2 Literature Review 9
2.1 Hydraulic and Water Quality Modeling 9
2.1.1 Hydraulic Model 9
2.1.2 Water Quality Model 10
2.2 Low Impact Development (LID) 10
2.2.1 LID Practice 10
2.2.2 LID Performance 11
2.3 Performance Evaluation 13
2.3.1 Scenario Analysis 13
2.3.2 Spatial Analysis 13
2.3.3 Uncertainty Analysis 14
2.3.4 Sensitivity Analysis 14
2.4 Future Changes in Climate and Urbanization 15
2.4.1 Climate Change 15
2.4.2 Future Urbanization 16
2.5 References 17
3 Impact of Technical Factors on LID Performance 27
3.1 Introduction 28
3.2 Methods 30
3.2.1 Study Area 30
3.2.2 Model Description 31
3.2.2.1 Model Theory 31
3.2.2.2 Model Construction 31
3.2.2.3 Model Calibration and Validation 32
3.2.2.4 Model Uncertainty Analysis by GLUE Method 34
3.2.3 Hydrological Pattern Design 35
3.2.4 LID Strategy Design 35
3.2.4.1 Implementation of LID Practices 35
3.2.4.2 Sensitivity Analysis by Sobol’s Method 36
3.2.5 Correlation Analysis Using a Self-Organizing Map 37
3.2.6 Description of the RDS Load Components 37
3.3 Results 38
3.3.1 RDS Migration and Distribution in Baseline Strategy 38
3.3.1.1 RDS Migration under Hydrological Scenarios 38
3.3.1.2 RDS Distribution on Land-Cover Types 39
3.3.2 RDS Removal in LID Strategies 40
3.3.2.1 RDS Removal by LID Strategies 40
3.3.2.2 Spatial Distribution of the RDS Removal 42
3.3.2.3 LID Parameter Sensitivity Analysis Result 43
3.4 Discussion 45
3.4.1 Factors Influencing RDS Migration in the Baseline Strategy 45
3.4.2 RDS Removal Performance by LID Strategy 46
3.5 Conclusions 47
3.6 References 47
4 Impact of Hydro-Environmental Factors on LID Performance 53
4.1 Introduction 54
4.2 Methods 56
4.2.1 Study Area 56
4.2.2 Modeling Approach 56
4.2.2.1 Model Theory 56
4.2.2.2 Model Construction 56
4.2.2.3 Model Calibration and Validation 57
4.2.2.4 Model Uncertainty Analysis 57
4.2.3 LID Performance Analysis 58
4.2.3.1 LID Practice Implementation 58
4.2.3.2 LID Performance Evaluation 58
4.2.4 Hydrological Pattern Analysis 59
4.2.4.1 Scenario of ADP Length 59
4.2.4.2 Scenario of Rainfall Magnitude 59
4.2.4.3 Scenario of Long-Term pre-Simulation 60
4.2.5 Sensitivity Analysis of Hydrological Scenarios 60
4.3 Results 61
4.3.1 LID Performance under Different ADP Lengths 61
4.3.2 LID Performance under Different Rainfall Magnitudes 62
4.3.3 Spatial Distribution of LID Performance 63
4.3.4 Sensitivities of LID Performance to ADP Length and Rainfall Magnitude 66
4.4 Discussion 68
4.4.1 Impact of ADP Length and Rainfall Magnitude on LID Performance 68
4.4.2 Spatial Heterogeneity of LID Performance 68
4.4.3 Research Implications 69
4.5 Conclusions 70
4.6 References 71
5 Impact of Future Climate Patterns on LID Performance 77
5.1 Introduction 78
5.2 Methods 80
5.2.1 Study Area 80
5.2.2 Hydraulic and Water Quality Model 80
5.2.2.1 Model Development 80
5.2.2.2 Model Calibration and Validation 81
5.2.3 Climate Change Scenario Analysis 81
5.2.3.1 GCM Evaluation 81
5.2.3.2 Greenhouse Gas (GHG) Concentration Scenario 82
5.2.3.3 GCM Downscaling 83
5.2.4 LID Performance Analysis 83
5.2.4.1 Implementation of LID Practices 83
5.2.4.2 Evaluation of LID Performance 84
5.2.4.3 Sensitivity Analysis on LID Performance 86
5.3 Results 86
5.3.1 Hydrological Characteristics under Future Climate Scenarios 86
5.3.2 LID Performance under Future Climate Scenarios 87
5.3.2.1 LID Short-Term Performance 87
5.3.2.2 LID Long-Term Performance 90
5.3.3 Impact of ADP Length and Rainfall Magnitude on LID Performance 92
5.3.3.1 LID Performance Uncertainty 92
5.3.3.2 Spatial Distribution of LID Performance 93
5.3.3.3 Sensitivity of LID Performance to Climate Change 95
5.4 Discussion 97
5.4.1 LID Performance in Short-Term Extremes and Long-Term Events 97
5.4.2 Impact of Climate Change on LID Performance 97
5.4.3 Research Implications 99
5.5 Conclusions 100
5.6 References 100
6 Impact of Climate and Urbanization Changes on LID Perfor-mance 109
6.1 Introduction 110
6.2 Methods 112
6.2.1 Study Area 112
6.2.2 Modeling Approach 112
6.2.2.1 Model Development 112
6.2.2.2 Model Calibration and Validation 113
6.2.3 Future Scenario Derivation 113
6.2.3.1 Climate Change Scenario 113
6.2.3.2 Urbanization Scenario 115
6.2.4 Flood Exposure Assessment 115
6.2.5 Implementation and Evaluation of LID Strategy 117
6.2.5.1 Implementation Scheme of LID Strategy 117
6.2.5.2 Performance Evaluation of LID Strategy 117
6.3 Results 118
6.3.1 Flood Exposure in Baseline and Future Scenarios 118
6.3.1.1 Hydrological Change in Future Climate Scenarios 118
6.3.1.2 Catchment Change in Future Urbanization Scenarios 118
6.3.1.3 Population and GDP Exposures to Flood in Future 121
6.3.2 Flood Exposure with Consideration of LID Strategy 123
6.3.2.1 Runoff Mitigation Performance of LID Strategy 123
6.3.2.2 Peak Mitigation Performance of LID Strategy 124
6.3.2.3 Population and GDP Exposures to Flood under LID Strategy 125
6.4 Discussion 126
6.4.1 Climate Change and Urbanization Exacerbated Flood Exposure Risk 126
6.4.2 LID Strategy Mitigated Flood Exposure Risk 126
6.5 Conclusions 127
6.6 References 127
7 Discussion and General Conclusions 133
7.1 Stormwater Management Performance of LID Strategy 133
7.2 Impact of Influencing Factors on LID Performance 134
7.3 LID Performance under Future Changes 135
7.4 Research Implications 136
7.5 References 137
8 Outlook of Future Research 139
8.1 Optimization of LID Performance 139
8.2 Cross-regional Study on Future Changes 139
8.3 Macro-scale Flood Risk Management 140
8.4 References 141
9 Appendices 143
9.1 Appendix for Chapter 3 143
9.1.1 The Determination of the GLUE Criteria 143
9.1.2 Model Uncertainty Analysis 143
9.1.3 The LID Installation Location 144
9.1.4 Figures 145
9.1.5 Tables 147
9.2 Appendix for Chapter 4 153
9.2.1 Scenario of Long-term pre-Simulation 153
9.2.2 Figures 153
9.2.3 Tables 158
9.3 Appendix for Chapter 5 164
9.3.1 Tables 164
9.4 Appendix for Chapter 6 169
9.4.1 Figures 169
9.4.2 Tables 170
9.5 Data Source 177
9.6 References 178
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:88814 |
| Date | 03 January 2024 |
| Creators | Yang, Wenyu |
| Contributors | Krebs, Peter, Zhang, Jin, Fan, Gongduan, Tränckner, Jens, 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 |
| Relation | urn:nbn:de:bsz:14-qucosa2-805409, qucosa:80540 |
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