Uncertainty and environmental decision making: a handbook of research and best practice
Presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2010
|
| Schriftenreihe: | International series in operations research and management science
138 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems. |
| Beschreibung: | XVII, 338 S. graph. Darst., Kt. |
| ISBN: | 9781441911285 |
Internformat
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| 490 | 1 | |a International series in operations research and management science |v 138 | |
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Datensatz im Suchindex
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|---|---|
| adam_text | IMAGE 1
CONTENTS
1 ORIMS AND ENVIRONMENTAL DECISION MAKING UNDER UNCCRTAINTY .... JERZY
A. FILAR ALLEL AJAIN B. HAURIE 1.1 INTROELUCTION .
1.2 NEW CHALLENGES AND PITFALLS 10 OR/MS APPLICATIONS TO EDM 4
1.2. J FROM NATURAL RESOURCE MANAGEMENT TO EDM . . . . . . . . . . . 4
1.2.2 COST-EFFECTIVENESS VS COST-BENEFIT ANALYSIS. . . . . . . . . . . .
. 5
J.2.3 ACTIVITY ANALYSIS MODELS AND UNCCRTAINTY . . . . . . . . . . . . .
. 6
1.2.4 MEW-MODELING: INLERACTIONS BETWECL1 PHYSICAL, BIO-CHEMICAL,
ECONOMIC AND TECHNOLOGICAL SYSTEMS ..... 7 1.2.5 CHOICE OF TIME HORIZON
& PERFORMANCE CRILCRION: THE ETHICS OF UNCERTAINTY IN EDM . . . . . . .
.. . . . . . . . . . . . . . .. 15
1.3 SOURCES 01 UNCERLAINTY IN ENVIRONMENTAL MODELING . . . . . . . . .
. . ... 15
1.3.1 CLASSIFICATION 01 UNCERTAINTY SOURCES IN MODELS. . . . . . . ..
15
1.3.2 ERROR PROPAGATION IN AN INTEGRALED CLIMATE MODEL .... . .. 17
1.4 STOCHASTIC REASONING FOR SOME FUNDAMENTAL ISSUES . . . . . . . . . .
. . .. 20
1.4.1 THE UL1CERTAIN DISCOULLTING ISSUE . . . . . . . . . . . . . . .. .
. . . .. 21
1.4.2 THE WEIGHTED MARKOV DECISION PROCESSES . . . . . . . . . . . .. 30
1.4.3 CONSEQUCNCES FOR GCC POLICY EVALUATION 32
1.5 TECHNIQUES AND METHODS 10 DEAL WITH UNCERTAINTY IN EDM 33
1.5.1 STATISTICAL ANALYSIS. . . . . . . . .. . .. . . . . . . . . . . .
. . . . . . . .. 34
1.5.2 EXTREME EVENT ANALYSIS. . . . . . . . . . . . . . . . . . . . . .
. . . . . .. 36
1.5.3 RELIABILITY IHEORY . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . .. 38
1.5.4 SIMULATIONS: SYNTHETIC DATA AND VALIDATION. . . . . . . . . . ..
39
1.5.5 STOCHASTIC OPLIMIZATION MODELS. . . . . . . . . . . . . . . . . .
. . .. 42
1.6 CONCLUDING REMARKS . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . .. 42
REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . .. 44
XIII
IMAGE 2
XIV CONTENTS
2 MODCLING UNC CRTAINTY MN A LARGE SCALE INTEGRATED ENERGYMCLIMATE
LV.ODEL 51
MARYSC LAHRICI, RICHARD LOULOU AND AMIT KANUDIA 2.1 INLROUUCTION 52
2.2 UNCCRTAINLY IN ENCRGY-CLIMATC STUDIES 53
2.3 MODCLING UNCCRTAINLY IN A LARGE SCALE INTEGRATED ENCRGY-CLIMATE
MODEL 55
2.3.1 THC TIMES ILLTEGRATED ASSESSMELLT MODEL (ETSAP-TLAM) 55
2.3.2 USING THE MODEL. . . . . . . . . . . . . . . .. . . . . . . . . .
. . .. . . .. 57
2.3.3 THC COMPUTATION 01 HEDGING STRATEGIES. . . . . . . . . . . . . ..
58
2.4 A TRCATCD EXAMPLE: HEDGING ST.RATEGY AND PERFECT FORECAST STFALCGICS
1 01 A 2.5C TARGET ON GLOBAL TEMPCRATURE CHANGE. . . .. 60 2.4.1
HEDGILLG UND PERFEET FORECAST STRATEGIES. . . . . . . . . . . . . .. 60
2.4.2 ANOTHER INTERPRETATION 01 ~HE PERFEET FORECAST STRATEGIES. 61
2.4.3 COST ANALYSIS AS A PROXY TOR THE TARGET S ATTAINABILITY . .. 62
2.4,4 GLOH~ 1 EMISSIONS AND CLIMATE RESULTS . . . . . . . . . . . . . .
.. 63
2.4.5 ROHUST (HEDGING) ACTIONS 65
2.4.6 SUPCR-HEDGING ACLIONS 69
2.5 SCLLSLTIVITY ANULYSCS 69
2.(1 ALTCRNATE CRITERIA FOR SLOCHASTIC PROGRAMMING 70
2.6.1 EXPECTED COST CRITERION WITH RISK AVERSION 71
2.6.2 THC SAVAGE CRITERION (MINIMAX REGRET) 72
2.6.3 APPLICATION OF MINIMAX REGRET IN LARGE SEALE LINEAR PROGRAMS 73
2.7 CONCLUSION 75
RCFCRCNCCS 76
3 ROBUST OPTIMI.ZUTION FOR ENVIRONMENTAL AUD ENERGY PLANNING. . . . ...
79 F. BAHONNCLLL.I, J.-P. VIAL, AND R. APPARIGJIATO
.1.1 ROBUST OPTIMIZATI.ON IN SHORT 79
3.2 AN CXAMPLE IN POWER SUPPLY UNDER POLLUTION CONSTRAINT 81
3.2.1 DCTCRMINISTIC FORMULATION 82
3.2.2 ULLCCRTAINTICS IN THC POWER SUPPLY MODEL . .. 85
3.2.3 VALIDATION PL OCCSS 86
3.2.4 EVALUATION 01 THC DETERMINISTIC SOLUTION IN THE UNCERTAIN
ENVIRONMENT 87
3.J CASC STUDY: ROBUST SOLUTION LN A PROBLEM WITH UNCERTAIN POLLUTANT
TNMSFCR COCFF1CICNTS 88
3.4 ROHUST OPTIMIZATION FOR THE STATIC PROBLEM: THEORETICAL
DCVCLOPMCNTS. . . . .. . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . .. 91
J.4.] ROHUST CQUIVALCNT: THC CASE OF THE 2-NORM 93
3.4.2 ROHUST CQUIVALCNT: THC CASE OF THE FL AND I!.OO NONNS . . . . ...
94
3.4.3 ROHUST CQUIVALCNT: BOUNDED POLYHEDRAL UNCERTAINTY SET .. 97 3.4.4
UNCCRTAINTICS IN THE OBJECTIVE FUNCTION 98
IMAGE 3
CONLENTS XV
3.4.5 TWO-SIDED INEQUALITY CONSTRAINTS . . .. . . . . . . . . . . . . .
. . .. 99
3.4.6 EQUALITY CONSTRAINTS 100
3.5 DYNAMIC PROBLEM WITH RECOURSE 101
3.5.1 LINEAR DECISION MIES 101
3.5.2 PROBLEMS WITH UNCERTAIN RECOURSE PARAMETERS 102
3.5.3 PROBLEMS WITH FIXED RCCOURSE 102
3.6 CASE STUDY: UNCERTAIN DEMAND WILLL FIXED RECOURSE 103
3.6.1 LDR AND RELAXED DEMAND CONSTRAINTS IM
3.6.2 LDR AND EXACT DERNAND CONSTRAINTS 106
3.6.3 STOCHASTK PROGRAMMING 107
3.7 CASE STUDY: UNCERTAINTY IN DEMANDS AND POLLUTANT TRANSFERS 109 3.7.1
A FULLY ROBUST OPTIMIZATION APPROACH 109
3.7.2 A HYBRID APPROACH: STOCHASTIC PROGRAMMING WILH ROBUST CONSTRAINTS
111
3.8 PROBABILITY 01 CONSTRAINT SATISFACTION 112
3.8.1 BOUNDS ON THE PROBABILITY OF CONSTRAINT SATIST ACTION ] 12 3.8.2
UNCERTAINTY SET VERSUS CONSTRAINT SATISFACTION 115
3.9 EXTENSION: GLOBALIZED ROBUST OPTIMIZATION ]] 7
3.9.1 THE CONCEPT 01 GLOBALIZED ROBUST OPTIMIZATION ] ]8
3.9.2 GLOBALIZED ROBUSTNESS WITH LINEAR PROGRAMMING 119 3.9.3 CASE
STUDY: GLOBALIZED ROBUSTNESS WITH UNCERTAIN DEMANDS . . . . . . . . . .
. . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . 122
3.10 CONCLUSION 122
REFERENCES. . . . . . . . . . . .. . . . . . . . . . . . . .. . . . . .
.. . . . . . . . . . . . . . . . . . . . 124
4 COPING WITH CLIMATE RISKS IN INDONESIAN RICE AGRICULTURE: A POLIEY
PERSPEETIVE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . .. 127
ROSAMOND L. NAYLOR AND MICHAEL D. MASLRANDREA 4.1 INTRODUCTION 127
4.2 CLIMATE RISKS IN AGRICULTURE 129
4.2.1 CLIMATE VARIABILITY AND ENSO 129
4.2.2 GLOBAL CLIMATE CHANGE 131
4.3 RISK ASSESSMENT 132
4.4 INDONESIAN RICE AGRICULTURE 135
4.5 PROJECTING THE IMPACT OF EI NIFIO EVENTS ON RICE PRODUCTION 139 4.6
ASSESSI NG THE PROBABILITY OF AN EI NIFIO EVENT 142
4.7 IMPLICATIONS TOR LONG-RUN CLIMATE FORECASTING 145
4.8 CONCLUSIONS AND IMPLICATIONS FOR DTHER REGIONS AND SYSTEMS 147
REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . J 5 I
5 A PRIRNER ON WEATHER DERIVATIVES. . . . . . . . . . . . . .. . . . . .
. . . . . . . . .. 155
PAULINE BARRIEU AND OLIVIER SCAILLET 5.] INTRODUCTION AND DEFINITION 155
5.1.1 WHAT IS WEATHER RISK? 155
5.1.2 WEATHER DERIVATIVES ] 56
5.2 THE WEATHER DERIVATIVES MARKET. 158
IMAGE 4
XVI CONLCNTS
5.2.1 ORCANIZCD MARKET: THE CHICAGO MCRCANTILE EXCHANOC ~ . 0 (CME) 159
5.2.2 EUROPCAN SITUATION 161
5.2.3 ELCCTRONIC TRADING PLATFORMS 162
5.3 THC WORLD BANK PROGRAM HUSED UPON WEATHER DERIVATIVES 162 5.3.1
GENERAL PRCSCNTMION 163
5.3.2 FRMN LHEORY TO PRACTICC: A PILOT PMJECL FOR AGRICULTURAL RISK
TRANSFER IN INDIA _. 163
5.3.3 CLIHCNT ALLD FUTURE PROJCCLS 166
5A SPCCI FIC ISSLICS RCLATED 10 WEATHER DERIVATIVES 167
5.4.1 BASIS RISK 167
5.4.2 PRICING ISSUCS 168
5.4.3 DESIGN ISSLICS 171
RCFERENCES 174
6 OPTIMAL CONTROL MODELS AND ELICITATION OF ATTITUDES TOWARDS CLHNATC
ILAMAGCS ,...................... 177
PHILIPPC AMHROSI, JCAN-CLWRLES HOURCADC, SLCPHANC HALLEGATTE, FRANCK
LCCOCQ. PATRICE DUMAS, MINH HA DUONG 6.1 FORC !ORD 178
6.2 INTRODLLCTION 180
(L.3 MCTRICS I OR ASSCSSING HCNCFITS 01 CLIMATC POLICIES , . 181
(L.4 LCSSONS FROM A STOCHASTIC COST-CLTECTIVCNCSS ANALYSIS:
RESPONSE_T 183
(L,) THC PURE PRDCRE!LCC FOR THC CUHEN! CL I 111 ALE REGIME: RESPONSE~P
187 6.6 KCYISSUCS WITH THC STRONG FOL M OF COST-HENDLT ANALYSIS ....
... 19] 6.6.1 INTEL PLAY BCLWCCN THC DISCOUNI RATE AND THE SHAPE 01 THE
DAMAGC FUNCTION 192
6.6.2 1MPMTANCC 01 PUMMETERS OLHER LHALL THE SHAPE 01 DAMAGC CLLRVC ,
193
6.6.3 INLCRPLAY HCTWCCN THC SHARE 01 DAMAGC CURVE AND C1IMATC
SENSITIVITY 195
6.7 CONCLUSIONS 200
RCFCRCNCES 207
7 A STOCHASTIC CONTROLLGAME APP,ROACH TO THE OPTIMAL TIMING OF CLIMATC
POLIEIES 211
O. BAHN. A. HALIRIE AND R. MALHAMC 7. J INLRODUCTION 211
7.2 A STOCHASTIC CONTROL MODEL FOT THE OPTIMAL TIMING 01 C1IMATE
POLICIES 213
7.2.1 VAL IUBLES 213
7.2.2 ECONOLL1IC DYNAMICS 214
7.2.3 TECHNOLOGIEA) HREAKTHROUGH DYNAMIES .. - 216
7.2.4 GHG CONCENTRATION DYNAMIES _2]7
7.2.S CLIMATC CHANGE DAMAGCS 218
IMAGE 5
CONTCLLLS XVI]
7.2.6 STOCHASTIC CONTRO MODEL 218
7.2.7 SINGLE-JUMP PIECEWISE DETERMINISTIC CONLROL MODEL 219 7.2.8
DYNAMIC PROGRAMMING 219
7.2.9 NULNERICAL METHOD 221
7.2. 0 NUMERICNL RESULTS 223
7.3 A STOCHASTIC GAME MODEL 225
7.3.1 INTERNATIONAL DIMENSION 01 CLIMATE POLICIES 225
7.3.2 VARIABLES 226
7.3.3 EQUATIONS 226
7.3.4 UNCEL LAIN TECHNOLOGICAL BREAKTHROUGH 227
7.3.5 CONTROLICD STOCHASTIC GAME 228
7.3.6 GAME IN NORMAL FORM 229
7.3.7 DYNAMIC PROGRAMLL1ING 230
7.3.8 SOLVING THE DCTCRLL1INISTIC EQUIVALCL1T DYNAMIC GAMES 23 7.3.9
DISCRETE TIME FONNULATION 232
7.3.10 NUMERICAL RESULLS 232
7.4 TOWARD A MODEL 01 LEARNING ABOUT CLIMATE SCNSITIVITY 234
7.5 CONCLUSION , 234
REFCRCNCCS , . 235
8 PRECAUTIONARY EFFECT AND VARIATIONS OF THE VALUC OF INFORMATION ...
237 M. DE LARA AND L. GILOLLE 8. INTRODUCTION 237
8.2 ELLECT OF ICARNING AND SECOND-PERIOD VALUE 01 INFORMATION 239
8.2.1 SECOND-PERIOD VALUE 01 THC INFORMATION 240
8.2.2 AN EXALL1PLE WITH QUADRATIC COSLS 241
8.2.3 COMPARISON 01 INITIAL AND SECOND-PERIOD VALUCS 01 INFORMATION
242
8.3 VALUC 01 INFORMATION AS A KEY TO THC LITCRATURE .. , 243
8.3.1 EPSTEIN (1980) 243
8.3.2 FREIXAS AND LALTONT (1984) 244
8.3.3 ALL 01 NOTHING , DCCISION SET 245
8.3.4 ULPH AND ULPH (1997) 245
8.4 NUMERICAL APPLICATION TO A CLIMATC CHANGE MODEL 246
8.5 CONCLUSION 246
8.6 APPENDIX 248
8.6.1 GENERAL RESULTS 011 COMPARISON 01 ARG MAX 248
8.6.2 APPENDIX: EXTENSION OF ULPH AND ULPH S RCSULT 249
REFCRENCES 249
9 COIUPARATIVE FORECASTING AND A TEST FOR PERSISTENCE IN THE EI NIFIO
SOUTHERN OSCILLATION 253
BELINDA A. CHIERA, JERZY A. FILAR, DANIEL S. ZACHARY, ADRIAN H. GORDON
9.1 INTRODUCTION 253
9.2 ANAL F H SOL D . 25S~~~ . YSLS 0 TE ,ATA SENES . . . . . . . . .
. . . . . . . . . . . . . . . . . . . .. ._
9.2.1 THE SOL DATU SERIES 255
IMAGE 6
CONTENTS
9.3 THC BAYESIAN BINARY TRCE MODEL. , 258
9.4 FORCCASING SOL FROM TTJE BSST MODEL 261
9.5 A HENCHMARK FORECAST USING A TAYLOR SERIES 264
9.6 COMPARING TSF AND BBT 265
9.7 DISCUSSION 266
RCFCRCNCCS 269
] 0 GENERATION OF SYNTHETIC SEQUENCES OF ELECTRICITY DEMAND WITH
APPLICAUONS . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . .
. . . . . . . . .. . . . . . . . 273
J.W. BOLAND 10. I LNTRODUCTION 273
10.2 HUTI F HOURLY CLECTRICITY DEMAND MODEL 277
10.2.1 DATA STRUCLURE , 279
10.2.2 YCARLY CYCLES 279
10.2.3 WECKLY SEASONALITY 280
10.2.4 INTRA-DAY CYCLES 282
10.2.5 RELATIONSTJIP HETWEEN DCMAND AND CURRENT TEMPERATURE 284 10.2.6
ANALYSIS 01 E4T PER PERIOD DURING SUMMER 286
10.3 THC GENERATION PROCCSS 293
10.3.1 FINAL ERROR DISTRIBUTION , 293
10.3.2 STEPS OF THE SYNTHETIC GENERATION PROCESS 294
10.4 DAILY MCAN TEMPERATURE MODEL 297
10.4.1 VALIDATION 01 THE MODEL 299
10.5 VERIFICATION 01 THC GENERATION ALGORITHM FOR HALF HOURLY DEMAND ..
300 10.6 APPLICUTIONS 302
10.6.1 YEARLY PEAK DEMAND .. 304
10.6.2 OPTIMISAUEON 01 ORIENTATION OF PHOTOVOLTAIC CELLS TO MATCH
CLECTRICITY DEMAND 305
10.7 CONCLUSION , , , 309
RCFCRCNCCS , 311
I M MODELS FOR IMPROVING MANAGEMENT OF BIOSOLIDS ODORS 313
STEVEN A. GAHRIEL, SIRAPONG VILALAI, PRAWAT SATJAKIJ, MARK RAMIREZ ,
CHRILS PEOT I 1.1 INTRODUCTION, OVERVICW, AND LITERATURE REVIEW 313
11.2 SUMMARY OF STATISTICAL MODELING WORK 314
11.2. ~ STATISLICAL MODELING TO FORECAST ODOR LEVELS OF BIOSOLIDS
APPLICD 10 REUSE SITES 315
11.2.2 PRCDICTION OF DIMETHYL DISULFIDE LEVELS FROM BIOSOLIDS USING
STATISTICAL MODELING 317
11.2.3 A COMHINED SUHJECTIVE AND OBJECTIVE ODOR MODEL 318 11.2.4 ODOR
PROBABILITY DISTRIBUTION AND SIMULATION ANALYSIS 319 11.3 SUMMARY OF
MULUEOBJECLIVE OPTIMIZATION WORK 322
11.3.1 MODE I: F:L T EXOGENOUSLY DETERMINED 323
11.3.2 MODE 2: F:L C ENDOGENOUSLY DETERMINED 327
11.3.3 ADDING SLOCHASTICILY 10 THE OPTIMIZATION MODELS 327
IMAGE 7
CONTENTS XIX
11.4 SUMMARY AND FUTURE DIRECTIONS , 329
REFERENCES 330
INDEX , , , ., , 333
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| discipline | Wirtschaftswissenschaften Umwelt |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV035962599 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:08:37Z |
| institution | BVB |
| isbn | 9781441911285 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018856746 |
| oclc_num | 527188191 |
| open_access_boolean | |
| owner | DE-M49 DE-BY-TUM DE-188 |
| owner_facet | DE-M49 DE-BY-TUM DE-188 |
| physical | XVII, 338 S. graph. Darst., Kt. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer |
| record_format | marc |
| series | International series in operations research and management science |
| series2 | International series in operations research and management science |
| spelling | Uncertainty and environmental decision making a handbook of research and best practice J. A. Filar ... eds. New York, NY [u.a.] Springer 2010 XVII, 338 S. graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier International series in operations research and management science 138 Presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems. Umweltpolitik Umweltschutz Environmental management Environmental policy Decision making Environmental protection Decision making Operations research Umweltbezogenes Management (DE-588)4201709-9 gnd rswk-swf Umweltpolitik (DE-588)4078523-3 gnd rswk-swf Entscheidungsmodell (DE-588)4121201-0 gnd rswk-swf Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf Umweltplanung (DE-588)4117283-8 gnd rswk-swf Unsicherheit (DE-588)4186957-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Entscheidungsmodell (DE-588)4121201-0 s Umweltbezogenes Management (DE-588)4201709-9 s Unsicherheit (DE-588)4186957-6 s DE-604 Entscheidung bei Unsicherheit (DE-588)4070864-0 s Umweltpolitik (DE-588)4078523-3 s Umweltplanung (DE-588)4117283-8 s DE-188 Filar, Jerzy A. 1949- Sonstige (DE-588)122097599 oth International series in operations research and management science 138 (DE-604)BV011630976 138 OEBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018856746&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Uncertainty and environmental decision making a handbook of research and best practice International series in operations research and management science Umweltpolitik Umweltschutz Environmental management Environmental policy Decision making Environmental protection Decision making Operations research Umweltbezogenes Management (DE-588)4201709-9 gnd Umweltpolitik (DE-588)4078523-3 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Umweltplanung (DE-588)4117283-8 gnd Unsicherheit (DE-588)4186957-6 gnd |
| subject_GND | (DE-588)4201709-9 (DE-588)4078523-3 (DE-588)4121201-0 (DE-588)4070864-0 (DE-588)4117283-8 (DE-588)4186957-6 (DE-588)4143413-4 |
| title | Uncertainty and environmental decision making a handbook of research and best practice |
| title_auth | Uncertainty and environmental decision making a handbook of research and best practice |
| title_exact_search | Uncertainty and environmental decision making a handbook of research and best practice |
| title_full | Uncertainty and environmental decision making a handbook of research and best practice J. A. Filar ... eds. |
| title_fullStr | Uncertainty and environmental decision making a handbook of research and best practice J. A. Filar ... eds. |
| title_full_unstemmed | Uncertainty and environmental decision making a handbook of research and best practice J. A. Filar ... eds. |
| title_short | Uncertainty and environmental decision making |
| title_sort | uncertainty and environmental decision making a handbook of research and best practice |
| title_sub | a handbook of research and best practice |
| topic | Umweltpolitik Umweltschutz Environmental management Environmental policy Decision making Environmental protection Decision making Operations research Umweltbezogenes Management (DE-588)4201709-9 gnd Umweltpolitik (DE-588)4078523-3 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Umweltplanung (DE-588)4117283-8 gnd Unsicherheit (DE-588)4186957-6 gnd |
| topic_facet | Umweltpolitik Umweltschutz Environmental management Environmental policy Decision making Environmental protection Decision making Operations research Umweltbezogenes Management Entscheidungsmodell Entscheidung bei Unsicherheit Umweltplanung Unsicherheit Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018856746&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV011630976 |
| work_keys_str_mv | AT filarjerzya uncertaintyandenvironmentaldecisionmakingahandbookofresearchandbestpractice |