Global environmental change : modelling and monitoring /
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| Author / Creator: | Kondratʹev, K. I͡A. (Kirill I͡Akovlevich) |
|---|---|
| Imprint: | Berlin ; New York : Springer, c2002. |
| Description: | xiv, 316 p. : ill., maps ; 24 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4778806 |
Table of Contents:
- Preface
- Abbreviations
- 1. Introduction
- 1.1. Contemporary Stage of the Civilization Development
- 1.2. Contemporary Global Ecodynamics
- 1.3. Sustainable Development
- 1.4. Conclusion. Unsolved Problems
- 2. The Basic Principles of Global Ecoinformatics
- 2.1. The Main Idea of Global Ecoinformatics
- 2.2. The Technology of Geoinformation Monitoring
- 2.3. Elements of the Evolutionary Computer Technology
- 2.4. A New Type of Global Model
- 2.5. Global Modeling and Theory of Complex Systems Survivability
- 2.5.1. Basic Definitions
- 2.5.2. Study of the Simple Survivability Model
- 2.5.3. Methods for Determining Stable Strategies
- 3. Mathematical Model for Global Ecological Investigations
- 3.1. Conceptual Aspects of Global Ecological Investigations
- 3.2. General Description ofthe Global Model
- 3.3. Biogeochemical Cycles
- 3.3.1. Carbon Unit
- 3.3.2. Nitrogen Unit
- 3.3.3. Sulfur Unit
- 3.4. Units of Biogeocenotic, Hydrologic and Climatic Processes
- 3.5. Other Units of the Nature/Society System Model
- 3.5.1. World Ocean Bioproductivity Unit
- 3.5.2. Demographic Unit
- 3.6. Biocomplexity Index
- 3.6.1. Biocomplexity Indicator
- 3.6.2. The BSS Biocomplexity Model
- 3.7. Algorithms for the Data Processing
- 3.7.1. Data Reconstruction Using the Harmonic Functions
- 3.7.2. Method for Parametrical Identification of the Environmental Objects
- 3.7.3. Method ofDifferential Approximation
- 3.7.4. Quasi-Linearization Method
- 3.8. Experiments Using the Global Simulation Model
- 3.8.1. Plant Cover Restoration
- 3.8.2. Diversion of Siberian Rivers to Central Asia
- 3.8.3. Forecast for a Regional-Level Ecosystem Dynamics
- 3.8.4. Other Global Simulation Model Applications
- 4. Modeling of Ocean Ecosystem Dynamics
- 4.1. The World Ocean as a Complex Hierarchical System
- 4.2. Common Principles for the Synthesis ofOcean Ecosystem Models
- 4.3. Equations Describing the Ocean Ecosystem Dynamics
- 4.4. Analysis of the Vertical Structure of the Ocean Ecosystem
- 4.5. Mathematical Model of the Upwelling Ecosystem
- 4.6. Probabilistic Model of the Interaction Between Ocean Ecosystem Components
- 5. Application of a Global Model to the Study of Arctic Basin Pollution
- 5.1. Introduction
- 5.2. The Spatial Simulation Model of the Arctic Ecosystem Structure
- 5.3. The Marine Biota Unit
- 5.4. The Hydrological Unit
- 5.5. The Pollution Unit
- 5.6. Simulation Results
- 5.6.1. The Assumptions
- 5.6.2. The Dynamics ofArctic Basin Radionuclear Pollution
- 5.6.3. The Dynamics ofArctic Basin Pollution by Heavy metals
- 5.6.4. The Dynamics ofArctic Basin Pollution by Oil Hydrocarbons
- 5.6.5. The Dynamics ofthe Pollutants in the Arctic Basin
- 5.7. Summary and Conclusion
- 6. Estimation of the Peruvian Current Ecosystem
- 6.1. Introduction
- 6.2. Block Diagram and Principal Equations of the Peruvian Current Ecosystem (PCE) Model
- 6.3. Experiments That Use the Model ofthe PCE
- 6.3.1. Temperature Variations
- 6.3.2. Variations ofIllumination
- 6.3.3. The Effect ofWater Saturation with Oxygen
- 6.3.4. The Effect of Varying the Concentration of Nutrients
- 6.3.5. The Effect of Variations in the Velocity of Vertical Advection
- 6.3.6. The PCE Sensitivity with Respect to Variation in the Model Parameters
- 6.3.7. Investigation of PCE Survivability Under Variations in the Trophic Graph
- 7. A New Technology for Monitoring Environment in the Okhotsk Sea
- 7.1. Introduction
- 7.2. Block Diagram and Principal Structure of the Simulation Model of the Okhotsk Sea Ecosystem
- 7.3. The Marine Biota Unit
- 7.4. The Hydrological Unit
- 7.5. The Simulation Procedure and Experiments That Use the Simulation Model of the Okhotsk Sea Ecosystem
- 7.6. Biocomplexity Criteria and the Evaluation of the Okhotsk Sea Ecosystem
- 7.7. Concluding Remarks
- 8. Pollutants Dynamics in the Angara-Yenisey River System (AYRS)
- 8.1. Introduction
- 8.2. An AYRS Simulation Model (AYRSSM)
- 8.3. On-Site Measurements
- 8.3.1. Radionuclides in River Sediments
- 8.3.2. Heavy Metals in River Sediments
- 8.4. Experiments Using the AYRSSM
- 8.5. Concluding Remarks
- 9. Realization of the GIMS-Technology for the Study of the Aral-Caspian Aquageosystem
- 9.1. The Nature of the Problem
- 9.2. Remote Monitoring Database
- 9.3. Theory-Information Model of the Aral-Caspian Aquageosystem
- 9.4. Simulation System for the Study of the Hydrological Fields of the Aral Sea
- 9.5. Simulation Model of the Kara-Bogaz-Gol Gulf Water Regime
- 9.6. Simulation Experiments
- 9.7. Summary and Recommendations
- 10. Monitoring of the Seas in the Oil and Gas Extraction Zones
- 10.1. The Problem of Collection and Processing of Data in Monitoring Systems Operating in Zones of Oil and Gas Extraction
- 10.2. Concept of a System of Ecological Monitoring of the Sea Surface and the Atmosphere in Zones of Oil and Gas Extraction
- 10.3. Estimation of Oil Hydrocarbon Pollution Parameters in Seawater
- 10.4. Expert System for the Identification of Pollutant Spills on the Water Surface
- 10.5. Monitoring of the Gas Extraction Zone in the South China Sea
- 11. Decision-Making Procedures in Environmental Monitoring Systems
- 11.1. The Problem ofStatistical Decision-Making and Basic Definitions
- 11.1.1. Correlation Between Classic and Sequential Decision-Making Procedures
- 11.1.2. Distribution ofthe Sequential Analysis and Its Universality
- 11.1.3. Scheme of the Decision-Making Procedure Using Sequential Analysis
- 11.2. Parametrical Estimations for Sequential Analysis
- 11.3. An Algorithm for Multichannel Data Processing in the Decision-Making Task
- 11.3.1. Organizational Scheme ofthe Statistical Analyzer Operation
- 11.3.2. Error Probability Assessment ofthe System and the Requisite Delay Memory Capacity with Constant Expectation Time
- 11.3.3. Evaluation of the System Error Probability and the Requisite Memory Capacity Delay with a Constant Number of Computer Storage Registers
- 11.4. Applications of the Sequential Decision-Making Procedure
- References
- Index
