This book synthesises various modeling methodologies used to aid planning and operational decision making, emphasising those applicable in data-scarce developing countries. Ideal for academic researchers and professionals working in hazard mitigation, remote sensing and hydrological engineering, it is one of four books on climate-related flood disaster management theory and practice.
Various modeling methodologies are available to aid planning and operational decision making: this book synthesises these, with an emphasis on methodologies applicable in data scarce regions, such as developing countries. Problems included in each chapter, and supported by links to available online data sets and modelling tools, engage the reader with practical applications of the models. Academic researchers in the fields of hydrology, climate change, and environmental science and hazards, and professionals and policy-makers working in hazard mitigation, remote sensing and hydrological engineering will find this an invaluable resource. This volume is the second in a collection of four books on flood disaster management theory and practice within the context of anthropogenic climate change. The others are: Floods in a Changing Climate: Extreme Precipitation by Ramesh Teegavarapu, Floods in a Changing Climate: Inundation Modelling by Giuliano Di Baldassarre and Floods in a Changing Climate: Risk Management by Slodoban Simonovic.
Papildus informācija
Provides unique synthesis of various modeling methodologies used to aid planning and operational decision making, for academic researchers and professionals.
| Foreword |
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vii | |
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| Preface |
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ix | |
| Glossary |
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xi | |
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xiii | |
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1 | (4) |
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1 | (1) |
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1.2 Remote sensing for hydrologic modeling |
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2 | (1) |
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1.3 GIS and DEM for hydrologic modeling |
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2 | (1) |
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1.4 Assessment of climate change impacts |
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3 | (1) |
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1.5 Organization of the book |
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4 | (1) |
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2 Hydrologic modeling for floods |
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5 | (38) |
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5 | (1) |
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2.2 Estimation of flood peak discharge |
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6 | (4) |
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2.3 Intensity-duration-frequency relationship |
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10 | (2) |
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12 | (7) |
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2.5 A brief review of commonly used hydrologic models |
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19 | (10) |
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29 | (11) |
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40 | (3) |
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40 | (3) |
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3 Climate change impact assessment |
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43 | (45) |
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43 | (2) |
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3.2 Projection of hydrologic impacts |
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45 | (1) |
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3.3 Dynamical downscaling approaches |
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45 | (2) |
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3.4 Statistical downscaling approaches |
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47 | (17) |
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3.5 Disaggregation models |
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64 | (4) |
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3.6 Macroscale hydrologic models |
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68 | (3) |
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3.7 Hypothetical scenarios for hydrologic modeling |
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71 | (1) |
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3.8 Modeling of floods under climate change |
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71 | (4) |
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75 | (8) |
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83 | (5) |
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86 | (2) |
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4 Remote sensing for hydrologic modeling |
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88 | (32) |
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88 | (3) |
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91 | (4) |
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95 | (1) |
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95 | (6) |
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4.5 Image information extraction |
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101 | (6) |
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4.6 Land use/land cover information |
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107 | (1) |
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4.7 Utility of remote sensing for hydrologic modeling |
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107 | (5) |
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4.8 Demonstration of image processing using MATLAB |
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112 | (6) |
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4.9 Conclusions and future scope |
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118 | (2) |
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119 | (1) |
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5 Geographic information systems for hydrologic modeling |
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120 | (26) |
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120 | (1) |
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5.2 Representation of spatial objects in GIS |
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120 | (2) |
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5.3 GIS for proximity analysis |
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122 | (1) |
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5.4 Digital elevation models |
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123 | (2) |
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5.5 Applications of digital elevation modeling |
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125 | (4) |
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5.6 Other sources of digital elevation data |
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129 | (3) |
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5.7 Combining digital images and maps |
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132 | (1) |
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5.8 Integration of spatial, non-spatial, and ancillary data into a distributed hydrologic model |
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133 | (1) |
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5.9 GIS and remote sensing for flood zone mapping |
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134 | (6) |
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140 | (4) |
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144 | (2) |
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145 | (1) |
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6 Case studies and future perspectives |
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146 | (30) |
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6.1 Case study: Malaprabha Reservoir catchment, India |
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146 | (12) |
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6.2 Case study: Mahanadi River basin, India |
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158 | (6) |
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164 | (1) |
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165 | (11) |
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167 | (9) |
| Index |
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176 | |
P. P. Mujumdar is a Professor in the Department of Civil Engineering at the Indian Institute of Science (IISc), Bangalore, India, and holds an Associate Faculty position in the Divecha Center for Climate Change at IISc, Bangalore. He is also Chairman of the Water Resources Management Committee of the International Association for Hydro-Environment Research (IAHR). Professor Mujumdar's area of specialization is water resources with a focus on climate change impacts that includes downscaling and uncertainty modeling. He also works as a professional consultant across areas including floodplain management, reservoir operation, urban storm water drainage, lift irrigation and hydropower development. He is a Distinguished Visiting Fellow of the Royal Academy of Engineering, UK, and is currently a member of the Editorial Board of the journal Advances in Water Resources. D. Nagesh Kumar is a Professor in the Department of Civil Engineering at the Indian Institute of Science (IISc), Bangalore, India, and holds an Associate Faculty position in the Center for Earth Sciences. His primary research areas include applications of remote sensing and GIS in hydrologic modeling, soft computing, hydrologic teleconnections and water resources systems. Professor Kumar also works in professional consultancy in areas such as river basin planning and management, flood routing, downscaling for climate change projections and reservoir operation. He is currently an Associate Editor of the Journal of Hydrologic Engineering.
