Mathematical Models for Planning and Controlling Air Quality :Proceedings of an October 1979 IIASA Workshop

Publication subTitle :Proceedings of an October 1979 IIASA Workshop

Author: Fronza   Giorgio;Melli   Piero  

Publisher: Elsevier Science‎

Publication year: 2014

E-ISBN: 9781483153810

P-ISBN(Paperback): 9780080299501

Subject: O6 Chemistry;P4 Atmospheric science (Meteorology )

Keyword: 数学

Language: ENG

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Description

Mathematical Models for Planning and Controlling Air Quality documents the proceedings of an IIASA Workshop on Mathematical Models for Planning and Controlling Air Quality, October 1979. The Workshop had two goals. The first was to contribute to bridging the gap between air-quality modeling and management. The second was to consider an unusual air-quality control strategy: namely, real-time emission control.
The book is organized into two parts, corresponding roughly to the two goals outlined above. Part One examines the role of mathematical models in air-quality planning and includes: a presentation of a decision maker's viewpoint; illustrations of various types of models (descriptive and/or decision models) available to decision makers; assessments of the role of models in actual decision making; and two papers on the more traditional question of the significance and range of application of descriptive models, i.e., of models that represent the physics of the air-pollution phenomenon. Part Two is devoted primarily to real-time control. It includes a presentation of the IIASA case study of the Venetian lagoon; and papers on various aspects of this research; on alternative concentration predictors; and descriptions of implementations of real-time forecast and control schemes in Japan and Italy.

Chapter

2 THE ELABORATION OF TECHNICAL-SCIENTIFIC STANDARDS FOR AIR-QUALITY CONTROL

CHAPTER 2. THE IMPACT OF MODELS ON DECISION MAKING: AN ASSESSMENT OF THE ROLE OF MODELS IN AIR-QUALITY PLANNING

1 INTRODUCTION

2 SHORT-TERM PLANNING

3 LONG-TERM PLANNING

4 CONCLUSIONS

REFERENCES

CHAPTER 3. CASES IN THE APPLICATIONS OF AIR-QUALITY MODELS IN POLICY MAKING

1 INTRODUCTION

2 USES OF MODELS

3 CASE STUDIES

4 CONCLUSIONS

ACKNOWLEDGMENTS

REFERENCES

CHAPTER 4. REGIONAL AIR-QUALITY POLICY ANALYSIS

1 INTRODUCTION

2 THE SCENARIO MODEL

3 THE SOCIAL VALUE MODEL

4 POLICY ANALYSIS OF THE SCENARIOS

5 CONCLUSIONS

CHAPTER 5. USING MATHEMATICAL PROGRAMMING MODELS FOR COST-EFFECTIVE MANAGEMENT OF AIR QUALITY

1 INTRODUCTION

2 OBJECTIVES

3 PLAN OF THE PAPER

4 THE BASIC ECONOMICS OF EMISSIONS CHARGES AND TRANSFERABLE EMISSIONS PERMITS

5 FORMULATION

6 ANALYSIS

7 CONCLUDING REMARKS

REFERENCES

CHAPTER 6. A COMPREHENSIVE APPROACH TO AIR-QUALITY PLANNING: ABATEMENT, MONITORING NETWORKS, AND REAL-TIME INTERPOLATION

1 INTRODUCTION

2 MATHEMATICAL OPTIMIZATION MODELS

3 DESIGN OF AIR-POLLUTION MONITORING NETWORKS

4 A GENERAL APPROACH TO THE PROBLEM OF THE AIR-POLLUTION CONCENTRATION FIELD

5 THE PSEUDO-SOURCE CONCEPT AND AN APPROXIMATION METHOD FOR THE MULTIPLE-WEATHER-STATE PROBLEM

6 CONCLUSIONS

ACKNOWLEDGMENTS

REFERENCES

CHAPTER 7. SOURCE ALLOCATION AND DESIGN VIA SIMULATION MODELS

1 INTRODUCTION

2 BASIC CHARACTERISTICS OF THE APPLIED SIMULATION MODEL

3 STATISTICS OF METEOROLOGICAL CONDITIONS FOR TRANSPORT AND DIFFUSION

4 PROBLEMS OF SOURCE CONFIGURATION

5 RESULTS OF THE NUMERICAL EXPERIMENTS

ACKNOWLEDGMENTS

REFERENCES

CHAPTER 8. AIR-POLLUTION MODELING OPERATIONS AND THEIR LIMITS

1 INTRODUCTION

2 LIMITS OF THE STATISTICAL INFERENCES IN AIR-POLLUTION MODELING

3 COMPUTATIONS AND THEIR LIMITATIONS

4 THE LIMITS SET BY ATMOSPHERIC PREDICTABILITY

REFERENCES

CHAPTER 9. AIR-QUALITY MODELS, PARTICULARLY FOR THE MESOSCALE

1 INTRODUCTION

2 A USER-ORIENTED PRESENTATION

3 MESOSCALE MODELING

CHAPTER 10. GENERALIZING THE CONCEPT AND FACTORS OF AIR-QUALITY MANAGEMENT

1 INTRODUCTION

2 AIR-POLLUTION SCALES

3 SCHEME OF BACKGROUND POLLUTION

4 SCALES OF AIR-POLLUTION PROCESSES

5 AIR-QUALITY MANAGEMENT

REFERENCES

Part Two: Models for Real-Time Prediction and Control of Air Pollution

CHAPTER 11. SHORT-TERM FORECASTING OF LOCAL WINDS BY BLACK-BOX MODELS

1 INTRODUCTION

2 THE STOCHASTIC MODELS AND PREDICTORS

3 DISCUSSION OF THE RESULTS

REFERENCES

CHAPTER 12. A K MODEL FOR SIMULATING THE DISPERSION OF SULFUR DIOXIDE IN AN AIRSHED

1 INTRODUCTION

2 THE ATMOSPHERIC-DIFFUSION EQUATION

3 THE NUMERICAL INTEGRATION SCHEME

4 THE APPLICATION TO THE VENETIAN CASE

5 THE NECESSITY OF A DIFFERENT APPROACH

REFERENCES

CHAPTER 13. KALMAN PREDICTION OF SULFUR DIOXIDE EPISODES

1 INTRODUCTION

2 THE KALMAN PREDICTOR

REFERENCES

CHAPTER 14. THE COST OF A REAL-TIME CONTROL SCHEME FOR SULFUR DIOXIDE EMISSIONS

1 INTRODUCTION

2 DESCRIPTION OF THE REAl-TIME CONTROL SCHEME

3 RESULTS IN THE VENETIAN CASE

REFERENCES

CHAPTER 15. ARMAX STOCHASTIC MODELS OF AIR POLLUTION: THREE CASE STUDIES

1 INTRODUCTION

2 THE POWER-PLANT CASE

3 THE INDUSTRΪAL-AREA CASE

4 THE URBAN CASE

REFERENCES

CHAPTER 16. ARIMA AND GMDH FORECASTS OF AIR QUALITY

1 INTRODUCTION

2 COMPARISON OF THE ACCURACY OF FORECASTING OF POLLUTION LEVELS BY TIME-SERIES MODELS

3 DETERMINATION OF THE DATA LENGTH FOR SETTING UP MODELS

4 CONFIDENCE INTERVAL OF THE FORECAST MEANAT A FIXED TIME POINT

5 MODELING AND FORECASTING BY USING AN ADAPTIVE DIGITAL FILTER (ADF)

6 THE KALMAN FILTERING TECHNIQUE FOR FORECASTING POLLUTION LEVELS

7 FORECASTING USING THE GROUP METHOD OF DATA HANDLING (GMDH)

8 CONCLUSIONS

REFERENCES

CHAPTER 17. REAL-TIME CONTROL OF EMISSIONS IN JAPANESE CITIES

1 INTRODUCTION

2 REAL-TIME CONTROL OF POLLUTION IN AN INDUSTRIAL AREA:KASHIMA CASE STUDY

3 REAL-TIME CONTROL OF AIR POLLUTION IN URBAN AREAS

5 AN URBAN CASE STUDY: HIMEJI CITY

REFERENCES

CHAPTER 18. REAL-TIME CONTROL OF AIR POLLUTION: THE CASE OF MILAN

1 INTRODUCTION

2 THE MONITORING NETWORK

3 A MATHEMATICAL MODEL OF AIR POLLUTION IN MILAN

4 CURRENT AND PROSPECTIVE USES OF THE NETWORK

AUTHOR INDEX

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