Groundwater optimization handbook: flow, contaminant transport, and conjunctive management
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
IWA Publ.
2012
Boca Raton, Fla. [u.a.] CRC Press |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Vor Ersch. vom Verl. auch angekündigt u.d.T.: Practical simulation-optimization modeling for groundwater and conjunctive management |
| Beschreibung: | XLVI, 474 S. Ill., graph. Darst. |
| ISBN: | 1439838062 9781439838068 1780401116 9781780401119 |
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| 100 | 1 | |a Peralta, Richard C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Groundwater optimization handbook |b flow, contaminant transport, and conjunctive management |c Richard C. Peralta. [With Ineke M. Kalwij] |
| 246 | 1 | 3 | |a Practical simulation-optimization modeling for groundwater and conjunctive management |
| 264 | 1 | |a London |b IWA Publ. |c 2012 | |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press | |
| 300 | |a XLVI, 474 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
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| adam_text | IMAGE 1
CONTENTS
PREFACE XVII
EXPRESSION OF GRATITUDE XXI
AUTHOR XXIII
SELECTED SYMBOLS AND ABBREVIATIONS XXV
LIST OF FIGURES XXXIII
LIST OF TABLES XLIII
PART I INTRODUCTION TO S-O CONCEPTS
1. ESSENCE OF OPTIMIZING GROUNDWATER MANAGEMENT 3 1.1 BOOK GOALS 3
1.1.1 INTRODUCTION 3
1.1.2 GOAL 1: ENCOURAGE SUSTAINABLE QUALITY AND QUANTITY GROUNDWATER
PLANNING AND PRACTICE 8
1.1.3 GOAL 2: SPEED ADOPTION OF SYSTEMS ANALYSIS AND MATHEMATICAL
OPTIMIZATION FOR GROUNDWATER FLOW AND CONTAMINANT MANAGEMENT 9
1.1.4 GOAL 3: INCREASE USE OF STOCHASTIC METHODS 11 1.2 THE NEED FOR AND
BENEFITS OF OPTIMIZATION 11
1.2.1 PHYSICAL SYSTEM AND FLOW COMPLEXITY AND UNCERTAINTY 11 1.2.1.1
INTRODUCTION 11
1.2.1.2 PHYSICAL SYSTEM COMPLEXITY AND FLOW UNCERTAINTY 12
1.2.1.3 PHYSICAL PARAMETER UNCERTAINTY 17
1.2.1.4 CONCLUSION 19
1.2.2 NEED FOR OPTIMIZING GROUNDWATER PUMPING STRATEGIES 19 1.3
CONSIDERATIONS WHEN USING OPTIMIZATION 21
1.4 GROUNDWATER SYSTEMS ANALYSIS PERSPECTIVE AND TOOLS 22 1.4.1
GROUNDWATER STEWARDSHIP PERSPECTIVE 22
1.4.2 HOW THE SYSTEMS APPROACH HELPS STEWARDS GAIN STAKEHOLDER SUPPORT
AND ACHIEVE MANAGEMENT GOALS 23 1.4.3 CLOSURE AND SUMMARY 25
1.5 SPECIFIC READER GOALS 26
BIBLIOGRAPHY 27
2. INTRODUCTION TO MATHEMATICAL OPTIMIZATION FOR GROUNDWATER STRATEGY
DESIGN 31
2.1 SIMULATION (S) AND S-O MODELING AND BASIC OPTIMIZATION TERMINOLOGY
31
VII
IMAGE 2
VIII CONTENTS
2.2 SIMPLE OPTIMIZATION PROBLEM 35
2.2.1 GRAPHICAL SOLUTION AND MANUAL ALGEBRAIC SOLUTIONS AT INTERSTICES
35
2.2.2 COMPUTER PROGRAM SOLUTION 42
2.3 MANUAL SIMPLEX SOLUTION 48
2.3.1 INTRODUCTION 48
2.3.2 SETTING UP THE SIMPLEX TABLEAU 48
2.3.3 SOLVING THE SIMPLEX APPLICATION PROBLEM 51 BIBLIOGRAPHY 55
PART II OPTIMIZATION THEORY
3. OPTIMIZATION PROBLEM TYPES AND CATEGORIES 59
3.1 INTRODUCTION 59
3.2 COMMON OPTIMIZATION PROBLEM TYPES (LP, QP, IP, MIP, NLP, MINLP) 60
3.2.1 INTRODUCTION 60
3.2.2 LINEAR OPTIMIZATION PROBLEM 60
3.2.3 QUADRATIC OPTIMIZATION PROBLEM 61
3.2.4 INTEGER OPTIMIZATION PROBLEM 62
3.2.5 MIXED INTEGER OPTIMIZATION PROBLEM 62
3.2.6 NONLINEAR OPTIMIZATION PROBLEM 63
3.2.7 MIXED INTEGER NONLINEAR OPTIMIZATION PROBLEM 64 3.3 LINEARITY AND
NONLINEARITY IN S-O MODELING 64
3.3.1 INTRODUCTION 64
3.3.2 LINEARITY AND NONLINEARITY IN PHYSICAL SYSTEM AND SIMULATORS 64
3.3.2.1 GROUNDWATER FLOW 64
3.3.2.2 GROUNDWATER CONTAMINATION CONCENTRATION 67 3.3.3 NONLINEARITY IN
OPTIMIZATION PROBLEM 69
3.3.4 SUMMARY 70
3.4 SINGLE-OBJECTIVE AND MULTIOBJECTIVE OPTIMIZATION 70 3.5
DETERMINISTIC AND STOCHASTIC OPTIMIZATION 71
3.6 OPTIMIZATION OF MULTIPLE PHYSICAL PROCESSES 72
3.6.1 MULTIPLE MODULE MODELS 72
3.6.2 DECOMPOSITION AND HIERARCHICAL OPTIMIZATION 74 3.6.3 MULTIPLE
STUDY AREA OR MODEL OPTIMIZATION 78 3.7 VARIABLE, CONSTRAINT, AND
OBJECTIVE FUNCTION FLEXIBILITY 79 BIBLIOGRAPHY 79
4. DETERMINISTIC OPTIMIZATION 83
INEKE M. KALWIJ AND RICHARD C. PERALTA 4.1 INTRODUCTION 83
4.2 SOLUTION SPACE GEOMETRY 87
IMAGE 3
CONTENTS IX
4.3 OVERVIEW OF OPTIMIZER TYPE OPTIONS 91
4.3.1 PURPOSE OF THE OVERVIEW 91
4.3.2 CLASSICAL OPTIMIZATION TYPES OVERVIEW 91
4.3.2.1 CHARACTERISTICS :...: . 91
4.3.2.2 ADAPTATIONS AND SUITABILITY FOR GROUNDWATER MANAGEMENT PROBLEMS
92 4.3.2.3 LIMITATIONS FOR GROUNDWATER MANAGEMENT PROBLEMS 94
4.3.3 NONCLASSICAL OPTIMIZATION TYPES OVERVIEW 94 4.3.3.1
CHARACTERISTICS 94
4.3.3.2 ADAPTATIONS AND SUITABILITY FOR GROUNDWATER MANAGEMENT PROBLEMS
96 4.3.3.3 LIMITATIONS FOR GROUNDWATER MANAGEMENT PROBLEMS 96
4.4 CLASSICAL OPTIMIZATION TYPES 97
4.4.1 SIMPLEX 97
4.4.2 BRANCH-AND-BOUND 97
4.4.3 GRADIENT SEARCH 98
4.4.4 SUCCESSIVE APPROXIMATION TYPES 101
4.4.5 DETERMINISTIC DYNAMIC PROGRAMMING 102
4.5 NON-CLASSICAL OPTIMIZATION TYPES 104
4.5.1 GENETIC ALGORITHM 104
4.5.2 SIMULATED ANNEALING 107
4.5.3 TABU SEARCH 109
4.5.4 SUCCESSIVE EQUIMARGINAL APPROACH ILL
4.6 SIMPLIFYING OPTIMIZATION TECHNIQUES 114
4.6.1 SUCCESSIVE OPTIMIZATION (CYCLING) 114
4.6.2 SEQUENTIAL OPTIMIZATION 115
4.6.3 SUBSET/SUBSPACE DECOMPOSITION OPTIMIZATION 116 4.6.4 COMMON
DECOMPOSITION OPTIMIZATION 118
BIBLIOGRAPHY 118
5. OPTIMIZATION WITH UNCERTAINTY 125
INEKE M. KALWIJ AND RICHARD C. PERALTA 5.1 INTRODUCTION 125
5.2 ADDRESSING UNCERTAINTY 127
5.3 STOCHASTIC MODELING TOOLS 128
5.3.1 UNCERTAINTY ANALYSIS 128
5.3.2 STOCHASTIC RISK-BASED PARTICLE TRACKING OPTIMIZATION 131 5.3.3
MULTIPLE REALIZATION OPTIMIZATION 132
5.3.4 CHANCE-CONSTRAINED OPTIMIZATION 134
5.4 ROBUSTNESS OPTIMIZATION 135
BIBLIOGRAPHY 138
IMAGE 4
: CONTENTS
6. MULTIOBJECTIVE OPTIMIZATION APPROACHES 143
6.1 INTRODUCTION 143
6.2 MULTIOBJECTIVE OPTIMIZATION 143
6.2.1 MULTIOBJECTIVE OPTIMIZATION CASE STUDY 143 6.2.2 MULTIOBJECTIVE
OPTIMIZATION DILEMMA 147
6.2.3 E-CONSTRAINT METHODS FOR MULTIOBJECTIVE OPTIMIZATION 148 6.2.4
WEIGHTING METHODS FOR MULTIOBJECTIVE OPTIMIZATION.... 150 6.2.5 GOAL
PROGRAMMING METHODS FOR MULTIOBJECTIVE OPTIMIZATION 152
6.3 ILLUSTRATIVE MULTIOBJECTIVE LP AND QP PROBLEMS 155 6.3.1
INTRODUCTION TO SUITABLY LINEAR SYSTEM PROBLEM 155 6.3.2 INITIAL LP
PROBLEM 157
6.3.3 INITIAL QP PROBLEM 160
6.3.4 MULTIOBJECTIVE PROBLEM SOLUTION BY E-CONSTRAINT METHOD 161
6.3.5 MULTIOBJECTIVE PROBLEM SOLUTION BY WEIGHTING METHOD 163
BIBLIOGRAPHY 164
PART III EXACT AND APPROXIMATION SIMULATOR THEORY
7. EMBEDDED NUMERICAL AND ANALYTICAL EQUATIONS 169 7.1 INTRODUCTION AND
TERMINOLOGY 169
7.2 EMBEDDED NUMERICAL EQUATION 173
7.3 EMBEDDED ANALYTICAL EQUATION 179
7.3.1 INTRODUCTION 179
7.3.2 AQUIFER HEAD RESPONSE TO PUMPING FROM SMALL DIAMETER WELL (THEIS
EQUATION) 179
7.3.3 STREAM DEPLETION RESPONSE TO GROUNDWATER PUMPING 182 7.3.4
EXAMPLE: 1 EXTRACTION WELL, 1 STREAM, 2 UNEQUAL PERIODS 184
7.4 EMBEDDED DISCRETIZED NUMERICAL MODEL 187
BIBLIOGRAPHY 189
8. RESPONSE MATRIX SIMULATORS 195
8.1 INTRODUCTION 195
8.2 DISCRETIZED CONVOLUTION INTEGRALS (RESPONSE MATRIX OR APPROXIMATOR)
198
8.2.1 INTRODUCTION 198
8.2.2 APPROACH 1 199
8.2.3 APPROACH 2 203
8.3 EXAMPLE: PREDICTING HEAD CHANGES RESULTING FROM ASSUMED TRANSIENT
PUMPING STRATEGY 206
8.4 INFLUENCE COEFFICIENT DEVELOPMENT PROCESS 208
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CONTENTS XI
8.5 INFLUENCE COEFFICIENT COMPUTATION 212
8.5.1 GENERAL INFORMATION 212
8.5.2 ANALYTICALLY DERIVED INFLUENCE COEFFICIENTS 213 8.5.3 EXAMPLE:
COMPUTING INFLUENCE COEFFICIENTS AND PREDICTING WEIL-HEAD CHANGES DUE TO
PUMPING AND TRANSIENT STREAM STAGES 215
8.5.4 INFLUENCE COEFFICIENTS DERIVED FROM DISCRETIZED NUMERICAL MODELS
219
8.5.4.1 METHODS 219
8.5.4.2 PUMPING BLOCKS AND PUMPING GROUPS 222 BIBLIOGRAPHY 223
9. APPROXIMATION AND OTHER SIMULATORS 229
9.1 INTRODUCTION 229
9.2 STATISTICAL REGRESSION EQUATIONS AND POWER FUNCTIONS 231 9.2.1
INTRODUCTION 231
9.2.2 DISSOLVED PHASE CONTAMINATION 232
9.2.2.1 SALINITY IN WATER 232
9.2.2.2 SALINITY IN GROUNDWATER 232
9.2.2.3 DISSOLVED PHASE TRICHOLORETHYLENE IN GROUNDWATER 232
9.2.3 MISCELLANEOUS CONTAMINATION AND GENERAL UTILITY FUNCTIONS 233
9.2.3.1 CONCEPT 233
9.2.3.2 EXAMPLE 234
9.2.4 NONAQUEOUS PHASE CONTAMINATION 235
9.2.4.1 CONCEPT 235
9.2.4.2 EXAMPLE 236
9.3 ARTIFICIAL NEURAL NETWORKS 238
9.3.1 INTRODUCTION 238
9.3.2 ANN ARCHITECTURE 239
9.3.3 ANN TRAINING 241
9.3.4 IMPLEMENT ANN AS APPROXIMATION SIMULATOR 242 9.4 BASIC ECONOMIC
AND FISCAL SIMULATORS 243
9.4.1 INTRODUCTION 243
9.4.2 SINGLE-PAYMENT PRESENT-WORTH FACTOR 243
9.4.3 SINGLE-PAYMENT COMPOUND AMOUNT FACTOR 244 9.4.4 UNIFORM-SERIES
PRESENT-WORTH FACTOR 244
9.4.5 UNIFORM-SERIES COMPOUND AMOUNT FACTOR 245 BIBLIOGRAPHY 245
IMAGE 6
XII CONTENTS
PART IV S-O PROCESSES AND GUIDANCE
10. FORMULATING OPTIMIZATION PROBLEMS AND SELECTING S-O TOOLS 251 10.1
INTRODUCTION ....Z... 251
10.2 IDENTIFY THE S-O MODEL PURPOSE 253
10.3 STATE THE OPTIMIZATION PROBLEM CONCEPTUALLY AND REFINE IT 254
10.3.1 RELEVANCE OF THE PREPARATORY STAGE 254
10.3.2 COMMON CONSIDERATIONS 256
10.3.3 SPECIAL ASPECTS OF GROUNDWATER FLOW IN OPTIMIZATION PROBLEMS 258
10.3.4 SPECIAL ASPECTS OF GROUNDWATER CONTAMINATION 258 10.3.5 SPECIAL
ASPECTS OF CONJUNCTIVE AND INTEGRATED USE PROBLEMS 259
10.3.6 PRELIMINARY OPTIMIZATION PROBLEM SIMPLIFICATION 259 10.3.7
PRELIMINARY PLANNING FOR STRATEGY ROBUSTNESS IMPROVEMENT 260
10.3.8 GUIDING FIELD DATA COLLECTION 261
10.4 PREPARE PRELIMINARY OPTIMIZATION PROBLEM FORMULATIONFS), WITHOUT
SELECTING S-O APPROACH 262
10.4.1 STATE, DECISION, AND USER-DEFINED VARIABLES AND CONSTRAINTS 262
10.4.2 OBJECTIVE FUNCTION COMPONENTS AND USER-DEFINED OBJECTIVE
FUNCTIONS 263
10.4.2.1 INTRODUCTION 263
10.4.2.2 PREPROGRAMMED OBJECTIVE FUNCTIONS 263 10.4.2.3 USER-DEFINED
OBJECTIVE FUNCTIONS 273 10.4.3 OPTIMIZATION PROBLEM AND RUN INDEXING AND
LABELING 274
10.5 CLARIFY LINEARITY-NONLINEARITY OF PHYSICAL SYSTEM AND MANAGEMENT
PROBLEM 278
10.6 SELECT AN S-O APPROACH 279
10.7 SELECT S-O MODELING TOOL AND OBTAIN OR DEVELOP S-O MODEL AND
POSTPROCESSOR 281
BIBLIOGRAPHY 282
11. PREPARING DATA INPUT AND IMPLEMENTING S-O TOOL 285 11.1 GENERAL
CONCEPTS 285
11.1.1 INTRODUCTION 285
11.1.2 BOUNDS AND CONSTRAINTS DATA 286
11.1.3 OBJECTIVE FUNCTION INPUT DATA 287
11.2 FLOW OPTIMIZATION ILLUSTRATION 289
11.2.1 DEVELOP GENERAL FORMULATION AND OBJECTIVE FUNCTION DATA FOR BAYOU
BARTHOLOMEW BASIN 289 11.2.1.1 DEVELOP GENERAL FORMULATION DATA FOR
BAYOU BARTHOLOMEW BASIN EXAMPLE 289
IMAGE 7
CONTENTS XIII
11.2.1.2 DEVELOP OBJECTIVE FUNCTION DATA FOR BAYOU BARTHOLOMEW BASIN
EXAMPLE 290
11.2.2 DEVELOP CONSTRAINT AND RHS DATA FOR BAYOU BARTHOLOMEW BASIN 290
11.3 TRANSPORT OPTIMIZATION ILLUSTRATIONS 290
11.3.1 DEVELOP GENERAL FORMULATION AND OBJECTIVE FUNCTION DATA 290
11.3.2 DEVELOP CONSTRAINT AND RHS DATA 293
11.4 SELECT CANDIDATE STIMULI LOCATIONS 297
11.5 PREPARE INITIAL FEASIBLE SOLUTION (STRATEGY) AND OPTIMIZATION
PARAMETERS AS INPUT DATA 301
11.5.1 IMPORTANCE OF AN INITIALLY FEASIBLE SOLUTION 301 11.5.2
REASONABLENESS OF INITIAL FEASIBLE STRATEGY 303 11.6 RUN S-O MODEL 303
11.6.1 OVERVIEW 303
11.6.2 OPTIMIZATION STATUS REPORTS 304
11.6.3 OPTIMIZATION PROBLEM REVISION TO IMPROVE STAKEHOLDER SATISFACTION
305
11.6.4 SIMPLE OPTIMIZATION FORMULATION REVISION TO IMPROVE COMPUTATIONAL
EFFICIENCY 305
11.6.5 COMPREHENSIVE GUIDANCE TO REDUCE COMPUTATIONAL BURDEN 306
11.6.5.1 INTRODUCTION 306
11.6.5.2 SCREENING STAGE 308
11.6.5.3 TRANSIENT OPTIMIZATION STAGE 310
11.7 ANALYZE RESULTS AND SENSITIVITY 311
11.8 REPORT RESULTS 313
11.9 IMPLEMENT STRATEGY AND MONITOR SYSTEM 314
BIBLIOGRAPHY 315
12. GROUNDWATER AND CONJUNCTIVE MANAGEMENT S-O APPLICATION GUIDANCE 317
12.1 INTRODUCTION 317
12.2 WATER SUPPLY AND FLOW HYDRAULIC MANAGEMENT FOR NONLINEAR
RIVER-AQUIFER SYSTEM (WITH MULTIOBJECTIVE) 318 12.2.1 OVERVIEW 318
12.2.2 MANAGEMENT NEED AND THE BACKGROUND SITUATION 318 12.2.3 S-O
APPROACH SELECTION 320
12.2.4 RUNNING THE BASE LP OPTIMIZATION PROBLEM 321 12.2.5 ANALYZING
LINEARITY OF BASE OPTIMIZATION PROBLEM 322 12.2.6 ANALYZING BASE
STRATEGY MARGINAL VALUES 322 12.2.7 DETERMINING WHETHER TO CONSTRAIN
WELL-HEAD OR
CELL-HEAD 325
12.2.8 CONTRASTING SIMPLE ECONOMIC LP, MIP, QP, AND MIQP OPTIMIZATIONS
326
IMAGE 8
XIV CONTENTS
12.2.9 APPLYING E-CONSTRAINT METHOD OF MULTIOBJECTIVE OPTIMIZATION....
330
12.2.10 EFFECTS OF RELAXING PUMPING BOUNDS IN EQUATION 12.2 ....7..Y.
331
12.2.11 APPLYING CYCLING OR SUCCESSIVE LINEAR OPTIMIZATION OR CYCLING
331
12.2.12 SUMMARY 332
12.3 FLOW OPTIMIZATION: LIMITING SURFACE WATER DEPLETION IN DYNAMIC
STREAM-AQUIFER SYSTEM 332
12.3.1 OVERVIEW 332
12.3.2 MANAGEMENT NEED AND THE BACKGROUND SITUATION 333 12.3.3 S-O
APPROACH SELECTION 334
12.3.4 MAXIMIZING GROUNDWATER PUMPING SUBJECT TO STREAM DEPLETION
CONCERNS 336
12.3.5 SUMMARY 338
12.4 FLOW OPTIMIZATION: CONJUNCTIVE MANAGEMENT OF DYNAMIC STREAM-AQUIFER
SYSTEM 338
12.4.1 OVERVIEW 338
12.4.2 MANAGEMENT NEED AND THE BACKGROUND SITUATION 338 12.4.3 S-O
APPROACH SELECTION 339
12.4.4 PREPARING ALTERNATIVE OPTIMIZATION PROBLEM FORMULATIONS AND
SCENARIOS 339
12.4.5 OPTIMIZING AND REVIEWING RESULTS 340
12.4.6 SUMMARY 343
12.5 CONTAINMENT OPTIMIZATION: PLUME MANAGEMENT VIA HYDRAULIC
OPTIMIZATION 343
12.5.1 OVERVIEW 343
12.5.2 MANAGEMENT NEED AND BACKGROUND SITUATION 343 12.5.3 S-O APPROACH
SELECTION 345
12.5.4 RUNNING BASE LP OPTIMIZATION PROBLEMS 345
12.5.5 INCREASING RELIABILITY THROUGH MULTIPLE-REALIZATION STOCHASTIC LP
OPTIMIZATION 348
12.5.6 ILLUSTRATING BENEFIT OF FORCING EXTRACTION TO EQUAL INJECTION 348
12.5.7 ILLUSTRATING IMPACT OF FORCING EXTRACTION TO EXCEED INJECTION 348
12.5.8 MINIMIZING COST BY MIQP OPTIMIZATION 348
12.5.9 SUMMARY 349
12.6 OPTIMAL SITE DEWATERING SYSTEM DESIGN 349
12.6.1 INTRODUCTION 349
12.6.2 BACKGROUND SITUATION AND OPTIMIZATION NEEDS 350 12.6.3
PRELIMINARY SIMULATION RUN 352
12.6.4 S-O MODELING APPROACH 352
12.6.5 MINIMIZING THE COST OF DEWATERING THE PROJECT SITE 352
BIBLIOGRAPHY 357
IMAGE 9
CONTENTS XV
13. GROUNDWATER CONTAMINATION AND TRANSPORT MANAGEMENT S-O APPLICATION
GUIDANCE 359
RICHARD C. PERALTA, INEKE M. KALWIJ, AND SHENGJUN WU ^13.1 OVERVIEW
^...... 359
13.2 BACKGROUND SITUATION AND OPTIMIZATION NEEDS 359
13.3 S-O APPROACH SELECTION 363
13.4 INITIAL SCREENING RUNS 364
13.5 OPTIMIZATION SCENARIOS OVERVIEW 366
13.6 SOLVING MINLP MINIMIZING RESIDUAL MASS OPTIMIZATION PROBLEM USING
GA-TS 367
13.7 ILLUSTRATING THE EFFECT OF MINIMIZING TOTAL PUMPING ON MAXIMUM
CONCENTRATION AND RESIDUAL MASS 372
13.8 EFFECT OF MINIMIZING COST ON THE OPTIMAL RESULT 373
13.9 CONTRASTING MINIMIZING MASS REMAINING / PUMPING, AND COST 374
13.10 SOLVING MINLP MINIMIZING RESIDUAL MASS OPTIMIZATION PROBLEM USING
ANN-GA 376
13.11 CLOSURE 378
BIBLIOGRAPHY 379
PART V APPLICATION AND CLOSURE
14. HYDRAULIC S-O MODELING APPLICATIONS 383
14.1 INTRODUCTION 383
14.2 ARKANSAS GRAND PRAIRIE AND NORTHEASTERN ARKANSAS- SUSTAINABLE
CONJUNCTIVE USE 383
14.2.1 ARKANSAS GRAND PRAIRIE 383
14.2.2 NORTHEASTERN ARKANSAS RIVER-AQUIFER SYSTEM 389 14.3 CACHE VALLEY,
UTAH-SAFE YIELD PRACTICE WHILE PROTECTING SURFACE WATER RESOURCES 390
14.4 NORTON AIR FORCE BASE, SOUTHWEST BOUNDARY TCE PLUME- HYDRAULIC
PLUME CONTAINMENT 395
BIBLIOGRAPHY 400
15. CONTAMINANT TRANSPORT S-O MODELING APPLICATIONS 405 RICHARD C.
PERALTA AND INEKE M. KALWIJ 15.1 INTRODUCTION 405
15.2 MASSACHUSETTS MILITARY RESERVATION, CHEMICAL SPILL 10 PLUME 406
15.2.1 INTRODUCTION 406
15.2.2 STRATEGY DESIGN PROCESS 407
15.3 BLAINE NAVAL AMMUNITION DEPOT MULTIPLE PLUME MANAGEMENT 410
15.3.1 INTRODUCTION 410
IMAGE 10
XVI CONTENTS
15.3.2 APPLICATION AND RESULTS 411
15.3.2.1 BLAINE NAD STUDY AREA AND OPTIMIZATION PROBLEM FORMULATIONS 411
15.3.2.2 PROCEDURE APPLICATION TO FORMULATION 1 415 15.3.2.3 PROCEDURE
APPLICATION TO FORMULATION 2 418 15.3.2.4 PROCEDURE APPLICATION TO
FORMULATION 3 419 15.3.2.5 SUMMARY AND CONCLUSIONS 419
15.4 OPTIMAL ROBUST PUMPING STRATEGY DESIGN FOR UMATILLA CHEMICAL DEPOT
421
15.4.1 INTRODUCTION 421
15.4.2 OPTIMAL STRATEGY ROBUSTNESS REVIEW 423
15.4.3 ROBUSTNESS OPTIMIZATION APPLICATION AND RESULTS 426 15.4.4
CLOSURE 430
15.5 MULTIPLE REALIZATION PUMP AND TREAT SYSTEM OPTIMIZATION 430 15.5.1
INTRODUCTION 430
15.5.2 OPTIMIZATION PROBLEM FORMULATION 431
15.5.3 MULTIPLE REALIZATION OPTIMIZATION RESULTS AND DISCUSSION 432
15.5.4 CLOSURE 434
BIBLIOGRAPHY 435
16. CLOSURE 439
GLOSSARY 441
INDEX 461
|
| any_adam_object | 1 |
| author | Peralta, Richard C. |
| author_facet | Peralta, Richard C. |
| author_role | aut |
| author_sort | Peralta, Richard C. |
| author_variant | r c p rc rcp |
| building | Verbundindex |
| bvnumber | BV040269888 |
| classification_rvk | AR 22140 |
| ctrlnum | (OCoLC)797279658 (DE-599)BSZ348063091 |
| discipline | Allgemeines |
| format | Book |
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| id | DE-604.BV040269888 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:20:26Z |
| institution | BVB |
| isbn | 1439838062 9781439838068 1780401116 9781780401119 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025125490 |
| oclc_num | 797279658 |
| open_access_boolean | |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | XLVI, 474 S. Ill., graph. Darst. |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | IWA Publ. CRC Press |
| record_format | marc |
| spelling | Peralta, Richard C. Verfasser aut Groundwater optimization handbook flow, contaminant transport, and conjunctive management Richard C. Peralta. [With Ineke M. Kalwij] Practical simulation-optimization modeling for groundwater and conjunctive management London IWA Publ. 2012 Boca Raton, Fla. [u.a.] CRC Press XLVI, 474 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Vor Ersch. vom Verl. auch angekündigt u.d.T.: Practical simulation-optimization modeling for groundwater and conjunctive management Wassergüte (DE-588)4064728-6 gnd rswk-swf Grundwasserleiter (DE-588)4022375-9 gnd rswk-swf Grundwasserstrom (DE-588)4121396-8 gnd rswk-swf Grundwasser (DE-588)4022369-3 gnd rswk-swf Grundwasserverschmutzung (DE-588)4020822-9 gnd rswk-swf Grundwassergewinnung (DE-588)4113807-7 gnd rswk-swf Grundwasser (DE-588)4022369-3 s Grundwassergewinnung (DE-588)4113807-7 s Grundwasserleiter (DE-588)4022375-9 s Grundwasserstrom (DE-588)4121396-8 s Grundwasserverschmutzung (DE-588)4020822-9 s Wassergüte (DE-588)4064728-6 s DE-604 Kalwij, Ineke M. Sonstige oth SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025125490&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Peralta, Richard C. Groundwater optimization handbook flow, contaminant transport, and conjunctive management Wassergüte (DE-588)4064728-6 gnd Grundwasserleiter (DE-588)4022375-9 gnd Grundwasserstrom (DE-588)4121396-8 gnd Grundwasser (DE-588)4022369-3 gnd Grundwasserverschmutzung (DE-588)4020822-9 gnd Grundwassergewinnung (DE-588)4113807-7 gnd |
| subject_GND | (DE-588)4064728-6 (DE-588)4022375-9 (DE-588)4121396-8 (DE-588)4022369-3 (DE-588)4020822-9 (DE-588)4113807-7 |
| title | Groundwater optimization handbook flow, contaminant transport, and conjunctive management |
| title_alt | Practical simulation-optimization modeling for groundwater and conjunctive management |
| title_auth | Groundwater optimization handbook flow, contaminant transport, and conjunctive management |
| title_exact_search | Groundwater optimization handbook flow, contaminant transport, and conjunctive management |
| title_full | Groundwater optimization handbook flow, contaminant transport, and conjunctive management Richard C. Peralta. [With Ineke M. Kalwij] |
| title_fullStr | Groundwater optimization handbook flow, contaminant transport, and conjunctive management Richard C. Peralta. [With Ineke M. Kalwij] |
| title_full_unstemmed | Groundwater optimization handbook flow, contaminant transport, and conjunctive management Richard C. Peralta. [With Ineke M. Kalwij] |
| title_short | Groundwater optimization handbook |
| title_sort | groundwater optimization handbook flow contaminant transport and conjunctive management |
| title_sub | flow, contaminant transport, and conjunctive management |
| topic | Wassergüte (DE-588)4064728-6 gnd Grundwasserleiter (DE-588)4022375-9 gnd Grundwasserstrom (DE-588)4121396-8 gnd Grundwasser (DE-588)4022369-3 gnd Grundwasserverschmutzung (DE-588)4020822-9 gnd Grundwassergewinnung (DE-588)4113807-7 gnd |
| topic_facet | Wassergüte Grundwasserleiter Grundwasserstrom Grundwasser Grundwasserverschmutzung Grundwassergewinnung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025125490&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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