Rainfall-Runoff modelling: the primer
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Chichester [u.a.]
Wiley-Blackwell
2012
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Ausgabe: | 2. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | XXIX, 457 S. zahlr. graph. Darst. |
ISBN: | 9780470714591 |
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adam_text | IMAGE 1
CONTENTS
PREFACE TO THE SECOND EDITION ABOUT THE AUTHOR
LIST OF FIGURES
1 DOWN TO BASICS: RUNOFF PROCESSES AND THE MODELLING PROCESS
1.1 WHY MODEL?
1.2 HOW TO USE THIS BOOK 1.3 THE MODELLING PROCESS 1.4 PERCEPTUAL MODELS
OF CATCHMENT HYDROLOGY
1.5 FLOW PROCESSES AND GEOCHEMICAL CHARACTERISTICS 1.6 RUNOFF GENERATION
AND RUNOFF ROUTING 1.7 THE PROBLEM OF CHOOSING A CONCEPTUAL MODEL
1.8 MODEL CALIBRATION AND VALIDATION ISSUES 1.9 KEY POINTS FROM CHAPTER
1 BOX 1.1 THE LEGACY OF ROBERT ELMER HORTON (1 875- 1945)
XIII
XVII
XIX
1
1 3 3 6
13 15 16
IK 21 22
2 EVOLUTION OF RAINFALL-RUNUFF MODELS: SURVIVAL OF THE FITTEST?
2.1 THE STARTING POINT: THE RATIONAL METHOD 2.2 PRACTICAL PREDICTION:
RUNOFF COEFFICIENTS AND TIME TRANSFORMATIONS 2.3 VARIATIONS ON THE UNIT
HYDROGRAPH 2.4 EARLY DIGITAL COMPUTER MODELS: THE STANFORD WATERSHED
MODEL AND
ITS DESCENDANTS 2.5 DISTRIBUTED PROCESS DESCRIPTION BASED MODELS 2.6
SIMPLIFIED DISTRIBUTED MODELS BASED ON DISTRIBUTION FUNCTIONS 2.7 RECENT
DEVELOPMENTS: WHAT IS THE CURRENT STATE OF THE ART?
2.8 WHERE TO FIND MURE ON THE HISTORY AND VARIETY OF RAINFALL-RUNOFF
MODELS 2.9 KEY POINTS FROM CHAPTER 2 BOX 2,1 LINEARITY, NONLINCARITY AND
NON STATION AN TY BOX 2.2 THE XINANJIANG, ARNO OR VIC MODEL BOX 2.3
CONTROL VOLUMES AND DIFFERENTIAL EQUATIONS
25
25 2T, 33
36 40 42 43
43 44 45 46
49
IMAGE 2
VIII CONTENTS
3 DATA FOR RAINFALL-RUNOFF MODELLING 5]
3.1 RAINFALLDATA 51
3.2 DISCHARGE DATA 55
3.3 METEOROLOGICAL DATA AND THE ESTIMATION OF INTERCEPTION AND EVAPOTRAN
SPIRAL ION 56 3.4 METEOROLOGICAL DATA AND THE ESTIMATION OF SNOWTNELT 60
3.5 DISTRIBUTING METEOROLOGICAL DATA WITHIN A CATCHMENT 61
3.6 OTHER HYDROLOGICAL VARIABLES 61
3.7 DIGITAL ELEVATION DATA 61
3.8 GEOGRAPHICAL INFORMATION AND DATA MANAGEMENT SYSTEMS 66
3.9 REMOTE-.SENSING DATA 67
3.10 TRACER DATA FOR UNDERSTANDING CATCHMENT RESPONSES 69
3.11 LINKING MODEL COMPONENTS AND DATA SERIES 70
3.12 KEY POINTS FROM CHAPTER 3 71
BOX 3.1 THE PENMAN-MONTEITH COMBINATION EQUATION FOR ESTIMATING
EVAPOTRANSPIRATION RATES 72
BOX 3.2 ESTIMATING INTERCEPTION LOSSES 76
BOX 3.3 ESTIMATING SNOWMELT BY THE DEGREE-DAY METHOD 79
4 PREDICTING HYDRNGRAPHS USING MODELS BASED IM DATA 83
4.1 DATA AVAILABILITY AND EMPIRICAL MODELLING $3
4.2 DOING HYDROLOGY BACKWARDS 84
4.3 TRANSFER FUNCTION MODELS 87
4.4 CASE STUDY: DBM MODELLING OF THE CI6 CATCHMENT AT LLYN BRIANE, WALES
93 4.5 PHYSICAL DERIVATION OF TRANSFER FUNCTIONS 95
4.6 OTHER METHODS OF DEVELOPING INDUCTIVE RAINFALL-RUNOFF MODELS FROM
OBSERVATIONS 99 4.7 KEY POINTS FROM CHAPTER 4 106
BOX 4.1 LINEAR TRANSFER FUNCTION MODELS 107
BOX 4.2 USE OF TRANSFER FUNCTIONS TO INFER EFFECTIVE RAINFALLS 112
BOX 4,3 TIME VARIABLE ESTIMATION OF TRANSFER FUNCTION PARAMETERS AND
DERIVATION OF CATCHMENT NONLINEARITY I 13
5 PREDICTING HYDROGRAPHS USING DISTRIBUTED MODELS BASED ON PROCESS
DESCRIPTIONS 119
5.1 THE PHYSICAL BASIS OF DISTRIBUTED MODELS 119
5.2 PHYSICALLY BASED RAINFALL-RUNOFF MODELS AT THE CATCHMENT SCALE 128
5.3 CASE STUDY: MODELLING FLOW PROCESSES AT REYNOLDS CREEK, IDAHO 135
5.4 CASE STUDY: BLIND VALIDATION TEST OF THE SHE MODEL ON THE SLAPTON
WOOD CATCHMENT 138
5.5 SIMPLIFIED DISTRIBUTED MODELS 140
5.6 CASE STUDY: DISTRIBUTED MODELLING OF RUNOFF GENERATION AT WALNUT
GULCH, ARI/.ONA 148 5.7 CASE STUDY: MODELLING THE R-5 CATCHMENT AT
CHICKASHA, OKLAHOMA 151 5.8 GOOD PRACTICE IN THE APPLICATION OF
DISTRIBUTED MODELS 154
5.9 DISCUSSION OF DISTRIBUTED MODELS BASED ON CONTINUUM DIFFERENTIAL
EQUATIONS 155 5.10 KEY POINTS FROM CHAPTER 5 157
BOX 5.1 DESCRIPTIVE EQUATIONS FOR SUBSURFACE FLOWS 158
IMAGE 3
CONTENTS IX
BOX 5.2 ESTIMATING INFILTRATION RATES AT THE SOIL SURFACE 160
BOS 5.3 SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS: SOME BASIC CONCEPTS
166 BOX 5.4 SOIL MOISTURE CHARACTERISTIC FUNCTIONS FOR USE IN THE
RICHARDS EQUATION 171 BOX 5.5 PEDOTRANSFER FUNCTIONS 175
BOX 5.6 DESCRIPTIVE EQUATIONS FOR SURFACE FLOWS 177
BOX 5.7 DERIVATION OF THE KINEMATIC WAVE EQUATION 181
HYDROLOGICAL SIMILARITY, DISTRIBUTION FUNCTIONS AND SEMI-DISTRIBUTED
RAINFALL-RUNOFF MODELS 185
6.1 H YDROLOGI CAL S I M I 1 ARI TY AND H Y DROL OGI CAL RESPON SE UNITS
185
6.2 THE PROBABILITY DISTRIBUTED MOISTURE (PDM) AND GRID TO GRID (G2G)
MODELS 187 6.3 TOPMODEL 190
6.4 CASE STUDY: APPLICATION OF TOPMODEL TO THE SAETEMBEKKEN CATCHMENT,
NORWAY 198 6.5 TOPKAPI 203
6.6 SEMI-DISTRIBUTED HYDROLOGICAL RESPONSE UNIT (HRU) MODELS 204
6.7 SOME COMMENTS ON THE HRU APPROACH 207
6.8 KEY POINTS FROM CHAPTER 6 208
BOX 6.1 THE THEORY UNDERLYING TOPMODEL 210
BOX 6.2 THE SOIL AND WATER ASSESSMENT TOOL (SWAT) MODEL 219
BOX 6.3 THE SCS CURVE NUMBER MODEL REVISITED 224
PARAMETER ESTIMATION AND PREDICTIVE UNCERTAINTY 23 1
7. 1 MODEL CALIBRATION OR CONDITIONING 231
7.2 PARAMETER RESPONSE SURFACES AND SENSITIVITY ANALYSIS 233
7.3 PERFORMANCE MEASURES AND LIKELIHOOD MEASURES 239
7.4 AUTOMATIC OPTIMISATION TECHNIQUES 241
7.5 RECOGNISING UNCERTAINTY IN MODELS AND DATA: FORWARD UNCERTAINTY
ESTIMATION 243 7.6 TYPES OF UNCERTAINTY INTERVAL 244
7.7 MODEL CALIBRATION USING BAYESIAN STATISTICAL METHODS 245
7.8 DEALING WITH INPUT UNCERTAINTY IN A BAYESIAN FRAMEWORK 247
7.9 MODEL CALIBRATION USING SET THEORETIC METHODS 249
7.10 RECOGNISING EQUIFLNAHTY: THE GLUE METHOD 252
7.11 CASE STUDY: AN APPLICATION OF THE GLUE METHODOLOGY IN MODELLING THE
SAETEMBEKKEN MINIFFLT CATCHMENT, NORWAY 258
7.12 CASE STUDY: APPLICATION OF GLUE LIMITS OF ACCEPTABILITY APPROACH TO
EVALUATION IN MODELLING THE BRUE CATCHMENT, SOMERSET, ENGLAND 261
7.13 OTHER APPLICATIONS OF GLUE IN RAIN FALL-RUN OFF MODELLING 265
7.14 COMPARISON OF GLUE AND BAYESIAN APPROACHES TO UNCERTAINTY
ESTIMATION 266 7.15 PREDICTIVE UNCERTAINTY, RISK AND DECISIONS 267
7.16 DYNAMIC PARAMETERS AND MODEL STRUCTURAL ERROR 268
7.17 QUALITY CONTROL AND DISINFORMATION IN RAINFALL-RUNOFF MODELLING 269
7.18 THE VALUE OF DATA IN MODEL CONDITIONING 274
7.19 KEY POINTS FROM CHAPTER 7 274
BOX 7.1 LIKELIHOOD MEASURES FOR USE IN EVALUATING MODELS 276
BOX 7.2 COMBINING LIKELIHOOD MEASURES 283
BOX 7.3 DEFINING THE SHAPE OF A RESPONSE OR LIKELIHOOD SURFACE 284
IMAGE 4
X CONTENTS
8 BEYOND THE PRIMER: MODELS FOR CHANGING RISK 289
8. 1 THE ROLE OF RAINFALL-RUNOFF MODELS IN MANAGING FUTURE RISK 289
8.2 SHORT-TERM FUTURE RISK: FLOOD FORECASTING 290
8.3 DATA REQUIREMENTS FOR FLOOD FORECASTING 291
5.4 RAINFALL-RUNOFF MODELLING FOR FLOOD FORECASTING 293
8.5 CASE STUDY: FLOOD FORECASTING IN THE RIVER EDEN CATCHMENT, CUMBRIA,
ENGLAND 297 8.6 RAINFALL-RUNOFF MODELLING FOR ROOD FREQUENCY ESTIMATION
299
8.7 CASE STUDY: MODELLING THE FLOOD FREQUENCY CHARACTERISTICS ON THE
SKALKA CATCHMENT, CZECH REPUBLIC 302
8.8 CHANGING RISK: CATCHMENT CHANGE 305
8.9 CHANGING RISK: CLIMATE CHANGE 307
8.10 KEY POINTS FROM CHAPTER 8 309
BOX 8.1 ADAPTIVE GAIN PARAMETER ESTIMATION FOR REAL-TIME FORECASTING 3 1
1
9 BEYOND THE PRIMER: NEXT GENERATION HYDROLOGICAL MODELS 313
9.1 WHY ARE NEW MODELLING TECHNIQUES NEEDED? 313
9.2 REPRESENTATIVE ELEMENTARY WATERSHED CONCEPTS 315
9.3 HOW ARE THE REW CONCEPTS DIFFERENT FROM OTHER HYDROLOGICAL MODELS?
318 9.4 IMPLEMENTATION OF THE REW CONCEPTS 318
9.5 INFERRING SCALE-DEPENDENT HYSTERESIS FROM SIMPLIFIED HYDROLOGICAL
THEORY 320 9.6 REPRESENTING WATER FLUXES BY PARTICLE TRACKING 321
9.7 CATCHMENTS AS COMPLEX ADAPTIVE SYSTEMS 324
9.8 OPTIMALITY CONSTRAINTS ON HYDROLOGICAL RESPONSES 325
9.9 KEY POINTS FROM CHAPTER 9 327
10 BEYOND THE PRIMER: PREDICTIONS IN UNGAUGED BASINS 329
10.1 THE UNGAUGED CATCHMENT CHALLENGE 329
10.2 THE PUB INITIATIVE 330
10.3 THE MOPEX INITIATIVE 331
10.4 WAYS OF MAKING PREDICTIONS IN UNGAUGED BASINS 331
10.5 PUB AS A LEARNING PROCESS 332
10.6 REGRESSION OF MODEL PARAMETERS AGAINST CATCHMENT CHARACTERISTICS
333 10.7 DONOR CATCHMENT AND POOLING GROUP METHODS 335
10.8 DIRECT ESTIMATION OF HYDROGRAPH CHARACTERISTICS FOR CONSTRAINING
MODEL PARAMETERS 336 10.9 COMPARING RCGIONALISATION METHODS FOR MODEL
PARAMETERS 338
10.10 HRUS AND LSPS AS MODELS OF UNGAUGED BASINS 339
10.11 GAUGING THE UNGAUGED BASIN 339
10.12 KEY POINTS FROM CHAPTER 10 341
11 BEYOND THE PRIMER: WATER SOURCES AND RESIDENCE TIMES IN CATCHMENTS
343
11.1 NATURAL AND ARTIFICIAL TRACERS 343
11.2 ADVECTION AND DISPERSION IN THE CATCHMENT SYSTEM 345
11.3 SIMPLE MIXING MODELS 346
11.4 ASSESSING SPATIAL PATTERNS OF INCREMENTAL DISCHARGE 3 17
11.5 END MEMBER MIXING ANALYSIS (EMMA) 347
IMAGE 5
CONTENTS XI
11.6 ON THE IMPLICATIONS OF TRACER INFORMATION FOR HYDROLOGICAL
PROCESSES 348 11.7 CASE STUDY: END MEMBER MIXING WITH ROUTING 349
11.8 RESIDENCE TIME DISTRIBUTION MODELS 353
I 1.9 CASE STUDY: PREDICTING TRACER TRANSPORT AT THE GARDSJON CATCHMENT,
SWEDEN 357 11.10 IMPLICATIONS FOR WATER QUALITY MODELS 359
11.11 KEY POINTS FROM CHAPTER 11 360
BOX 11.1 REPRESENTING ADVECTION AND DISPERSION 361
BOX 11.2 ANALYSING RESIDENCE TIMES IN CATCHMENT SYSTEMS 365
12 BEYOND THE PRIMER: HYPOTHESES, MEASUREMENTS AND MODELS OF EVERYWHERE
369
1 2. 1 MODEL CHOICE IN RAINFALL-RUNOFF MODELLING AS HYPOTHESIS TESTING
369 12.2 THE VALUE OF PRIOR INFORMATION 371
12.3 MODELS AS HYPOTHESES 372
12.4 MODELS OF EVERYWHERE 374
12.5 GUIDELINES FOR GOOD PRACTICE 375
12.6 MODELS OF EVERYWHERE AND STAKEHOLDER INVOLVEMENT 376
12.7 MODELS OF EVERYWHERE AND INFORMATION 377
12.8 SOME FINAL QUESTIONS 378
APPENDIX A WEB RESOURCES FOR SOFTWARE AND DATA 381
APPENDIX B GLOSSARY OF TERMS 387
REFERENCES 397
INDEX 449
Rainfall-Runoff Modelling: The Primer is the second edition of this popular and
authoritative text, first published in 2001. The book provides both a primer for the
novice and detailed descriptions of techniques for more advanced practitioners,
covering rainfall-runoff models and their practical applications. This new edition
extends these aims to include additional Beyond the Primer chapters dealing with
prediction in ungauged basins, predicting residence time distributions, predicting
the impacts of change and the next generation of hydrological models. Giving a
comprehensive summary of available techniques based on established practices and
recent research, the book offers a thorough and accessible overview of the area.
Rainfall-Runoff Modelling: The Primer focuses on predicting hydrographs using
models based on data and on representations of hydrological process. Dealing
with the history of the development of rainfall-runoff models, uncertainty in model
predictions, good and bad practice and ending with a look at future hydrological
modelling practice, this book provides an essential underpinning of rainfall-runoff
modelling topics.
|
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discipline | Geologie / Paläontologie Umwelt Geographie |
edition | 2. ed. |
format | Book |
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id | DE-604.BV040116395 |
illustrated | Illustrated |
indexdate | 2024-07-10T00:17:14Z |
institution | BVB |
isbn | 9780470714591 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024972586 |
oclc_num | 779553605 |
open_access_boolean | |
owner | DE-19 DE-BY-UBM DE-91 DE-BY-TUM DE-188 DE-384 DE-20 |
owner_facet | DE-19 DE-BY-UBM DE-91 DE-BY-TUM DE-188 DE-384 DE-20 |
physical | XXIX, 457 S. zahlr. graph. Darst. |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Wiley-Blackwell |
record_format | marc |
spelling | Beven, Keith 1950- Verfasser (DE-588)1028552572 aut Rainfall-Runoff modelling the primer Keith Beven Rainfall Runoff modelling 2. ed. Chichester [u.a.] Wiley-Blackwell 2012 XXIX, 457 S. zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Pluie - Modèles mathématiques Écoulement (Hydrologie) - Modèles mathématiques Mathematisches Modell Rain and rainfall Mathematical models Runoff Mathematical models Abflussregime (DE-588)4130899-2 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Regenwasser (DE-588)4049003-8 gnd rswk-swf Wasserhaushalt (DE-588)4064734-1 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Niederschlag (DE-588)4132260-5 gnd rswk-swf Abfluss (DE-588)4000114-3 gnd rswk-swf Regenwasser (DE-588)4049003-8 s Abfluss (DE-588)4000114-3 s Modell (DE-588)4039798-1 s DE-604 Niederschlag (DE-588)4132260-5 s Wasserhaushalt (DE-588)4064734-1 s Abflussregime (DE-588)4130899-2 s Modellierung (DE-588)4170297-9 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 2\p DE-604 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024972586&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024972586&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Beven, Keith 1950- Rainfall-Runoff modelling the primer Pluie - Modèles mathématiques Écoulement (Hydrologie) - Modèles mathématiques Mathematisches Modell Rain and rainfall Mathematical models Runoff Mathematical models Abflussregime (DE-588)4130899-2 gnd Modell (DE-588)4039798-1 gnd Regenwasser (DE-588)4049003-8 gnd Wasserhaushalt (DE-588)4064734-1 gnd Modellierung (DE-588)4170297-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Niederschlag (DE-588)4132260-5 gnd Abfluss (DE-588)4000114-3 gnd |
subject_GND | (DE-588)4130899-2 (DE-588)4039798-1 (DE-588)4049003-8 (DE-588)4064734-1 (DE-588)4170297-9 (DE-588)4114528-8 (DE-588)4132260-5 (DE-588)4000114-3 |
title | Rainfall-Runoff modelling the primer |
title_alt | Rainfall Runoff modelling |
title_auth | Rainfall-Runoff modelling the primer |
title_exact_search | Rainfall-Runoff modelling the primer |
title_full | Rainfall-Runoff modelling the primer Keith Beven |
title_fullStr | Rainfall-Runoff modelling the primer Keith Beven |
title_full_unstemmed | Rainfall-Runoff modelling the primer Keith Beven |
title_short | Rainfall-Runoff modelling |
title_sort | rainfall runoff modelling the primer |
title_sub | the primer |
topic | Pluie - Modèles mathématiques Écoulement (Hydrologie) - Modèles mathématiques Mathematisches Modell Rain and rainfall Mathematical models Runoff Mathematical models Abflussregime (DE-588)4130899-2 gnd Modell (DE-588)4039798-1 gnd Regenwasser (DE-588)4049003-8 gnd Wasserhaushalt (DE-588)4064734-1 gnd Modellierung (DE-588)4170297-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd Niederschlag (DE-588)4132260-5 gnd Abfluss (DE-588)4000114-3 gnd |
topic_facet | Pluie - Modèles mathématiques Écoulement (Hydrologie) - Modèles mathématiques Mathematisches Modell Rain and rainfall Mathematical models Runoff Mathematical models Abflussregime Modell Regenwasser Wasserhaushalt Modellierung Niederschlag Abfluss |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024972586&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024972586&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT bevenkeith rainfallrunoffmodellingtheprimer AT bevenkeith rainfallrunoffmodelling |