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Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems

Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems

Patrick Willems | Jonas Olsson | Karsten Arnbjerg-Nielsen | Simon Beecham | Assela Pathirana | Ida Bulow Gregersen | Henrik Madsen | Van-Thanh-Van Nguyen

(2012)

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Abstract

Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems provides a state-of-the-art overview of existing methodologies and relevant results related to the assessment of the climate change impacts on urban rainfall extremes as well as on urban hydrology and hydraulics. This overview focuses mainly on several difficulties and limitations regarding the current methods and discusses various issues and challenges facing the research community in dealing with the climate change impact assessment and adaptation for urban drainage infrastructure design and management. 
Authors: Patrick Willems, University of Leuven, Hydraulics division; Jonas Olsson, Swedish Meteorological and Hydrological Institute; Karsten Arnbjerg-Nielsen, Technical University of Denmark, Department of Environmental Engineering; Simon Beecham, University of South Australia, School of Natural and Built Environments; Assela Pathirana, UNESCO-IHE Institute for Water Education; Ida Bulow Gregersen, Technical University of Denmark, Department of Environmental Engineering; Henrik Madsen, DHI Water & Environment, Water Resources Department; Van-Thanh-Van Nguyen, McGill University, Department of Civil Engineering and Applied Mechanics 

Table of Contents

Section Title Page Action Price
Cover page 1
Half-title page 2
Title page 3
Copyright page 4
Contents 5
About the IGUR 10
About the Authors 11
Acknowledgements 14
Acronyms 15
Executive Summary 18
Chapter 1 20
Introduction 20
1.1 NEED FOR ASSESSING CLIMATE CHANGE IMPACTS ON URBAN DRAINAGE 20
1.2 OVERVIEW OF CLIMATE CHANGE IMPACT ASSESSMENT FOR URBAN DRAINAGE 21
1.3 SCOPE AND LIMITATIONS 24
1.4 BOOK OUTLINE 24
Chapter 2 26
Modelling and analysis of rainfall extremes in a stationary context 26
2.1 STOCHASTIC RAINFALL GENERATION BY POINT PROCESS THEORY 26
2.2 MULTIFRACTAL AND CASCADE PROCESSES 31
2.3 RAINFALL DISAGGREGATION 33
2.4 STATISTICAL RAINFALL EXTREME VALUE ANALYSIS 36
PDS/POT based analysis 36
Extreme value distributions 36
Distribution parameter estimation 38
Regional analysis 40
2.5 IDF RELATIONSHIPS 41
2.6 DESIGN STORMS 43
2.7 POINT VERSUS AREAL RAINFALL 44
2.8 DISCUSSION 45
Chapter 3 46
Variability, trends and non-stationarity in extreme rainfall and runoff 46
3.1 TRENDS IN RAINFALL PROCESSES AND EXTREMES 46
Methods 46
Results 49
3.2 TRENDS VERSUS CLIMATE OSCILLATIONS 57
3.3 TRENDS IN URBAN RUNOFF: CHANGES DUE TO CLIMATE AND URBANIZATION 64
3.4 DISCUSSION 64
Chapter 4 66
Climate models 66
4.1 ATMOSPHERIC MODELLING 66
Weather versus climate modelling 66
Physical basis 67
Boundary conditions 68
Regional models 69
4.2 CLIMATE FORCING SCENARIOS 71
4.3 GCM SIMULATIONS 74
4.4 DISCUSSION 76
Chapter 5 77
Dynamical approach to downscaling of rainfall 77
5.1 DYNAMICAL DOWNSCALING 78
5.2 REGIONAL CLIMATE MODELS (RCMs) 78
RCMs in general 78
Precipitation computation in RCMs 79
Nesting in RCMs 80
Local data for RCM simulations 81
5.3 RCM SIMULATIONS 81
5.4 LIMITED AREA MODELS (LAMs) 82
5.5 FINE-SCALE RAINFALL RESULTS IN CASE STUDIES 83
Orography and rainfall 84
Better results from dynamic downscaling 84
Urban land use change and local rainfall 88
5.6 DISCUSSION 90
Chapter 6 91
Evaluation of dynamically downscaled rainfall 91
6.1 RELIABILITY OF CLIMATE SIMULATIONS BY GCMs AND RCMs 91
6.2 REASON OF DIFFERENCES BETWEEN GCM/RCM RESULTS AND OBSERVATIONS 97
6.3 UNCERTAINTY IN CLIMATE IMPACT PROJECTIONS FROM VARIOUS GCMs/RCMs AND DIFFERENT SCENARIOS 100
6.4 DISCUSSION 104
Chapter 7 106
Statistical approach to downscaling of urban rainfall extremes 106
7.1 MOTIVATION FOR STATISTICAL DOWNSCALING AS COMPARED TO DYNAMICAL DOWNSCALING 106
7.2 DELTA CHANGE AND CLIMATE FACTORS 109
7.3 EMPIRICAL TRANSFER FUNCTIONS 111
General empirical downscaling 111
Separation of downscaling and bias correction steps 113
Quantile mapping 115
7.4 RE-SAMPLING METHODS OR WEATHER TYPING 116
7.5 CONDITIONAL PROBABILITY-BASED OR STOCHASTIC MODELLING 120
7.6 VERIFICATION OF STATISTICALLY DOWNSCALED CLIMATE MODEL RESULTS 122
7.7 DISCUSSION 125
Chapter 8 127
Future changes in rainfall extremes 127
8.1 AT-SITE CHANGES IN RAINFALL EXTREMES 127
8.2 REGIONAL CHANGES IN RAINFALL EXTREMES 132
8.3 UNCERTAINTY IN RAINFALL CHANGES 137
8.4 DISCUSSION 141
Chapter 9 142
Future impacts on urban drainage 142
9.1 GENERATION OF RAINFALL INPUT FOR URBAN DRAINAGE IMPACT CALCULATION 142
Event-based versus continuous simulation based approaches 142
Accounting for impact uncertainties 145
9.2 IMPACTS ON URBAN DRAINAGE FLOWS, SEWER FLOODS, SURCHARGES AND OVERFLOWS 146
Impacts of climate change only 146
Impacts of climate change and/versus urbanization 147
9.3 OTHER TYPES OF SEWER IMPACTS 149
9.4 DISCUSSION 153
Chapter 10 155
Climate change adaptation and flexible design 155
10.1 SCOPE AND PURPOSE OF ADAPTATION 155
Choice of adaptation strategy 155
Need for adaptation within the urban drainage sector 156
10.2 NEW DESIGN PHILOSOPHIES AND ADAPTATION OPTIONS IN URBAN DRAINAGE 159
Decentralized local storage to cope with the increased rainfall variability 160
More efficient use of available storage capacities 163
Limitations of retro-fitting cities with decentralized storage and/or larger sewer systems 164
Urban flood forecasting and warning 165
Water quantity-quality interaction 165
Interaction with receiving waters 165
Cross-disciplinary approach 166
10.3 COPING WITH UNCERTAINTY: FLEXIBLE DESIGNS 167
10.4 ADAPTIVE MANAGEMENT AND ACTIVE LEARNING 168
10.5 DISCUSSION 169
Chapter 11 172
Concluding remarks 172
11.1 KEY MESSAGES FROM THIS BOOK 172
11.2 FUTURE DEVELOPMENTS 175
References 176
Appendices 205
Appendix A 206
Use of open source software R for statistical downscaling and rainfall extreme value analysis 206
A.1 INTRODUCTION 206
A.2 R PACKAGES 206
A.3 EXTREME VALUE ANALYSIS (POT) 207
A.4 NON-STATIONARY GPD PARAMETER ESTIMATION (ISMEV) 209
Appendix B 211
Use of Matlab for statistical downscaling and bias correction of RCM precipitation by quantile-quantile mapping 211
B.1 INTRODUCTION 211
B.2 STEP-BY-STEP PROCEDURE 211
B.3 FINAL REMARKS 213
Appendix C 214
Running Weather Research Forecast (WRF) Limited Area Atmospheric Model (LAM) on PC 214
C.1 LEARNING OBJECTIVES 214
C.2 STRUCTURE OF THIS TUTORIAL 214
C.3 BACKGROUND 214
The traditional challenge in using LAMs 214
STRC Environmental Model System (EMS) 215
Yet-another WRF tutorial? 215
C.4 INSTALLING WRF-LIVE SYSTEM ON YOUR PC 215
System requirements 215
Install VMware player 216
Install and start WRF-live system 217
The terminal 219
A look around your WRF-Live system 219
C.5 MUMBAI CASE STUDY 220
Background 220
Setting up the domain 220
Initial and boundary condition 225
Run the simulation 226
Post processing the results 227
Plot rainfall 227
Finishing off 228
Getting files out 230
C.6 WHERE TO GO FROM HERE 231
Utilizing multiple processor cores 231
Do we need VMware? 232
Chimplot and others 232
More information 233
Index 234