Cover Image

TORUS 3 -- Toward an open resource using services : cloud computing for environmental data /

Bibliographic Details
Other Authors: Laffly, Dominique
Format: eBook
Language:English
Published: London : Hoboken, NJ : ISTE, Ltd. ; Wiley, 2020.
Series:Computer engineering series (London, England)
Subjects:
Cloud computing.
Open source software.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface: Why TORUS? Toward an Open Resource Using Services, or How to Bring Environmental Science Closer to Cloud Computing
  • Structure of the book
  • 1. Introduction to Environmental Management and Services
  • 1.1. Introduction
  • 1.2. Environmental components
  • 1.2.1. Lithosphere
  • 1.2.2. Atmosphere
  • 1.2.3. Hydrosphere
  • 1.2.4. Biosphere
  • 1.3. Environmental pollution
  • 1.3.1. Air pollution
  • 1.3.2. Water pollution
  • 1.3.3. Soil pollution
  • 1.3.4. Biological pollution
  • 1.4. Environmental quality management
  • 1.4.1. Air quality management: technical tools and data management
  • 1.4.2. Water quality management
  • 1.4.3. Biosphere reservation and management
  • 1.5. Data services for the environment
  • 1.6. References
  • PART: Environmental Case Studies
  • 2. Air Quality Monitoring with Focus on Wireless Sensor Application and Data Management
  • 2.1. Introduction
  • 2.2. Development of air pollution monitoring techniques
  • 2.2.1. Conventional air pollution monitoring
  • 2.2.2. Sensing technology for air monitoring
  • 2.3. Wireless sensor network for air monitoring
  • 2.3.1. Case studies of application of wireless sensors for air quality monitoring
  • 2.3.2. AIT case study 1
  • 2.3.3. AIT case study 2
  • 2.3.4. Influencing factors of low-cost sensor performance in air pollution monitoring
  • 2.4. Summary: toward application of cloud computing for air quality monitoring data management
  • 2.5. References
  • 3. Emission Inventories for Air Pollutants and Greenhouse Gases with Emphasis on Data Management in the Cloud
  • 3.1. Introduction
  • 3.2. Methodology for development of EI database
  • 3.2.1. Framework of EI development
  • 3.2.2. Calculation of EI
  • 3.2.3. Sources of data
  • 3.3. Case studies
  • 3.3.1. Southeast Asia (SEA)
  • 3.3.2. Vietnam inland domain
  • 3.3.3. Bangkok Metropolitan Region, Thailand
  • 3.3.4. Forest fire emissions from Nakhon Si Thammarat, Thailand
  • 3.3.5. Phnom Penh (PNH), Cambodia
  • 3.4. Summary and conclusion
  • 3.5. References
  • 4. Atmospheric Modeling with Focus on Management of Input/Output Data and Potential of Cloud Computing Applications
  • 4.1. Introduction
  • 4.1.1. Atmospheric modeling
  • 4.1.2. Roles of modeling in air quality management
  • 4.1.3. Existing modeling systems
  • 4.2. Model architecture of chemistry transport model
  • 4.2.1. Conceptual framework and structure
  • 4.2.2. Data flow and processing
  • 4.3. Output data processing
  • 4.3.1. Output data processing
  • 4.3.2. Model performance evaluation
  • 4.4. Potential applications of cloud computing in atmospheric modeling
  • 4.4.1. Current status of cloud computing applications in atmospheric modeling
  • 4.4.2. Potential applications of cloud computing in air quality modeling
  • 4.5. Case studies of air pollution modeling in Southeast Asia
  • 4.5.1. Modeling air quality in Vietnam