Runoff prediction in ungauged basins : synthesis across processes, places and scales / / edited by Günter Blöschl, Technische Universität Wien, Austria, Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Thorsten Wagener, University of Bristol, Alberto Viglione, Technische Universität Wien, Austria, Hubert Savenije, Technische Universiteit Delft, the Netherlands [[electronic resource]] |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
Descrizione fisica | 1 online resource (xxiii, 465 pages) : digital, PDF file(s) |
Disciplina | 551.48/8 |
Soggetto topico |
Runoff
Rain and rainfall Runoff - Mathematical models Rain and rainfall - Mathematical models Hydrology |
ISBN |
1-139-88949-4
1-107-06530-5 1-107-05687-X 1-107-05470-2 1-107-05797-3 1-107-05926-7 1-107-05574-1 1-139-23576-1 |
Classificazione | SCI081000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Contributors; Foreword; Prediction in ungauged basins: context, challenges, opportunities; Preface; Abstract; 1 Introduction; 1.1 Why we need runoff predictions; 1.2 Runoff predictions in ungauged basins are difficult; 1.3 Fragmentation in hydrology; 1.4 The Prediction in Ungauged Basins initiative: a response to the challenge of fragmentation; 1.5 What this book aims to achieve: synthesis across processes, places and scales; 1.5.1 Synthesis across processes; 1.5.2 Synthesis across places; 1.5.3 Synthesis across scales; 1.6 How to read the book and what to get out of it
2 A synthesis framework for runoff prediction in ungauged basins2.1 Catchments are complex systems; 2.1.1 Co-evolution of catchment characteristics; 2.1.2 Signatures: a manifestation of co-evolution; 2.2 Comparative hydrology and the Darwinian approach; 2.2.1 Generalisation through comparative hydrology; 2.2.2 Hydrological similarity; Climate similarity; Catchment similarity; Runoff similarity; 2.2.3 Catchment grouping: exploiting the similarity concept for PUB; Transferring information from gauged to ungauged locations; 2.3 From comparative hydrology to predictions in ungauged basins 2.3.1 Statistical methods of predictions in ungauged basins2.3.2 Process-based methods of predictions in ungauged basins; 2.4 Assessment of predictions in ungauged basins; 2.4.1 Comparative assessment as a means of synthesis; 2.4.2 Performance measures; 2.4.3 Level 1 and Level 2 assessments; 2.5 Summary of key points; 3 A data acquisition framework for runoff prediction in ungauged basins; 3.1 Why do we need data?; 3.2 A hierarchy of data acquisition; 3.2.1 Assessment based on global data sets; 3.2.2 Assessment based on national hydrological network and national surveys 3.2.3 Assessment based on local field visits including reading the landscape3.2.4 Assessment based on dedicated measurements; 3.3 Runoff data; 3.3.1 What runoff data are needed for PUB?; 3.3.2 What runoff data are there?; 3.3.3 How valuable are runoff data for PUB?; 3.4 Meteorological data and water balance components; 3.4.1 What meteorological data and water balance components are needed for PUB?; 3.4.2 Precipitation; 3.4.3 Snow cover data; 3.4.4 Potential evaporation; 3.4.5 Remotely sensed data for calculating actual evaporation; 3.4.6 Remote sensing of soil moisture and basin storage 3.5 Catchment characterisation3.5.1 Topography; 3.5.2 Land cover and land use; 3.5.3 Soils and geology; 3.6 Data on anthropogenic effects; 3.7 Illustrative examples of hierarchical data acquisition; 3.7.1 Understanding process controls on runoff (Tenderfoot Creek, Montana, USA); 3.7.2 Runoff predictions using rainfall-runoff models (Chicken Creek, Germany); 3.7.3 Forensic analysis of magnitude and causes of a flood (Selska Sora, Slovenia); 3.8 Summary of key points; 4 Process realism: flow paths and storage; 4.1 Predictions: right for the right reasons 4.2 Process controls on flow paths and storage |
Record Nr. | UNINA-9910786214403321 |
Cambridge : , : Cambridge University Press, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Runoff prediction in ungauged basins : synthesis across processes, places and scales / / edited by Günter Blöschl, Technische Universität Wien, Austria, Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Thorsten Wagener, University of Bristol, Alberto Viglione, Technische Universität Wien, Austria, Hubert Savenije, Technische Universiteit Delft, the Netherlands [[electronic resource]] |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2013 |
Descrizione fisica | 1 online resource (xxiii, 465 pages) : digital, PDF file(s) |
Disciplina | 551.48/8 |
Soggetto topico |
Runoff
Rain and rainfall Runoff - Mathematical models Rain and rainfall - Mathematical models Hydrology |
ISBN |
1-139-88949-4
1-107-06530-5 1-107-05687-X 1-107-05470-2 1-107-05797-3 1-107-05926-7 1-107-05574-1 1-139-23576-1 |
Classificazione | SCI081000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Contributors; Foreword; Prediction in ungauged basins: context, challenges, opportunities; Preface; Abstract; 1 Introduction; 1.1 Why we need runoff predictions; 1.2 Runoff predictions in ungauged basins are difficult; 1.3 Fragmentation in hydrology; 1.4 The Prediction in Ungauged Basins initiative: a response to the challenge of fragmentation; 1.5 What this book aims to achieve: synthesis across processes, places and scales; 1.5.1 Synthesis across processes; 1.5.2 Synthesis across places; 1.5.3 Synthesis across scales; 1.6 How to read the book and what to get out of it
2 A synthesis framework for runoff prediction in ungauged basins2.1 Catchments are complex systems; 2.1.1 Co-evolution of catchment characteristics; 2.1.2 Signatures: a manifestation of co-evolution; 2.2 Comparative hydrology and the Darwinian approach; 2.2.1 Generalisation through comparative hydrology; 2.2.2 Hydrological similarity; Climate similarity; Catchment similarity; Runoff similarity; 2.2.3 Catchment grouping: exploiting the similarity concept for PUB; Transferring information from gauged to ungauged locations; 2.3 From comparative hydrology to predictions in ungauged basins 2.3.1 Statistical methods of predictions in ungauged basins2.3.2 Process-based methods of predictions in ungauged basins; 2.4 Assessment of predictions in ungauged basins; 2.4.1 Comparative assessment as a means of synthesis; 2.4.2 Performance measures; 2.4.3 Level 1 and Level 2 assessments; 2.5 Summary of key points; 3 A data acquisition framework for runoff prediction in ungauged basins; 3.1 Why do we need data?; 3.2 A hierarchy of data acquisition; 3.2.1 Assessment based on global data sets; 3.2.2 Assessment based on national hydrological network and national surveys 3.2.3 Assessment based on local field visits including reading the landscape3.2.4 Assessment based on dedicated measurements; 3.3 Runoff data; 3.3.1 What runoff data are needed for PUB?; 3.3.2 What runoff data are there?; 3.3.3 How valuable are runoff data for PUB?; 3.4 Meteorological data and water balance components; 3.4.1 What meteorological data and water balance components are needed for PUB?; 3.4.2 Precipitation; 3.4.3 Snow cover data; 3.4.4 Potential evaporation; 3.4.5 Remotely sensed data for calculating actual evaporation; 3.4.6 Remote sensing of soil moisture and basin storage 3.5 Catchment characterisation3.5.1 Topography; 3.5.2 Land cover and land use; 3.5.3 Soils and geology; 3.6 Data on anthropogenic effects; 3.7 Illustrative examples of hierarchical data acquisition; 3.7.1 Understanding process controls on runoff (Tenderfoot Creek, Montana, USA); 3.7.2 Runoff predictions using rainfall-runoff models (Chicken Creek, Germany); 3.7.3 Forensic analysis of magnitude and causes of a flood (Selska Sora, Slovenia); 3.8 Summary of key points; 4 Process realism: flow paths and storage; 4.1 Predictions: right for the right reasons 4.2 Process controls on flow paths and storage |
Record Nr. | UNINA-9910819852603321 |
Cambridge : , : Cambridge University Press, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Use of meta-heuristic techniques in rainfall-runoff modelling / / Kwok Wing Chau |
Autore | Chau Kwok Wing |
Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2017 |
Descrizione fisica | 1 online resource (vii, 246 pages) : illustrations |
Disciplina | 551.57810184 |
Soggetto topico |
Rain and rainfall - Mathematical models
Runoff - Mathematical models |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674045803321 |
Chau Kwok Wing
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Basel, Switzerland : , : MDPI, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Use of meta-heuristic techniques in rainfall-runoff modelling [[electronic resource] /] / special issue editor Kwok-wing Chau |
Pubbl/distr/stampa | Basel, : MDPI AG, 2017 |
Descrizione fisica | 1 online resource (vii, 246 p.) : ill |
Disciplina | 551.488 |
Altri autori (Persone) | ChauKwok Wing |
Soggetto topico |
Rain and rainfall - Mathematical models
Runoff - Mathematical models |
ISBN |
9783038423270 (e-book)
9783038423263 (pbk.) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910220021003321 |
Basel, : MDPI AG, 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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