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Mathematical Models for Planning and Controlling Air Quality
Mathematical Models for Planning and Controlling Air Quality
Detailed Information
- 자료유형
- 단행본
- UDC
- 628.8
- DDC
- 697 E21m-23
- 청구기호
- 697 E21m
- 서명/저자
- Mathematical Models for Planning and Controlling Air Quality / ed. Giorgio Fronza, Piero Melli. =
- 발행사항
- Oxford : Pergamon Press, 1982
- 형태사항
- 247 : illus. ; 26
- 가격
- ₩
- Control Number
- gtec:1755
MARC
008941027s1982 us a 00a K o eng■0801 ▼a628.8
■082 ▼a697▼bE21m▼223
■090 ▼a697▼bE21m
■1001 ▼aed. Giorgio Fronza, Piero Melli.
■24510▼aMathematical Models for Planning and Controlling Air Quality▼ded. Giorgio Fronza, Piero Melli.▼x
■260 ▼aOxford▼bPergamon Press▼c1982
■300 ▼a247▼billus.▼c26
■500 ▼a
■950 ▼b₩
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- PART ONE : MODELS FOR AIR_QUALITY PLANNING
- Air_quality management: regulatory procedures in the FRG
- The impact of modelson decision making: an assessment of the role of models inair_quality planning
- Cases in the applications of air_quality models in policy making
- Regional air_quality policy analysis
- Using mathematical programming models for cost_effective management of aair quality
- A comprehensive approach to air_quality planning: abatement, monitoring networks, and real_time interpolation
- Source allocation and design via simulation models
- Air_pollution modeling operations and their limits
- Air_quality models, particularly for the mesoscale
- Generalizing the concept and factors of air_quality management
- PART TWO: models for real_time prediction and control of air pollution
- Short_forecasting of local winds by black_box models
- A K model for simulating the dispersion of sulfur dioxide in an airshed
- Kalman prediction of sulfur dioxide episodes
- The cost of a real_time control scheme for sulfur dioxide emissions
- ARMAX stochastic models of air pollution: three case studies
- ARIMA and GMDH forecasts of air quality
- Real _time control of emissions in Japanese cities
- Real_time control of air pollution: the case of Milan
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