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9783540433736

Global Environmental Change

by ; ;
  • ISBN13:

    9783540433736

  • ISBN10:

    3540433732

  • Format: Hardcover
  • Copyright: 2002-11-01
  • Publisher: Springer Verlag

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Supplemental Materials

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Summary

This is a timely book in light of increasing concern over global warming and environmental pollution. It describes a simulation system based on sets of computer algorithms for comprehensive analysis of data from global and regional monitoring systems. Chapters in the theoretical part of the book contain descriptions of rigorous algorithms and global environmental models. The applied part considers specific problems of environmental dynamics in areas such as the Arctic and the Caspian-Aral Seas. The purpose of this book is to develop a universal information technology to estimate the state of environmental subsystems functioning under various climatic and anthropogenic conditions. Applied mathematicians, hydrologists, geophysicists, socio-economists and other researchers of global change will find a wealth of information in this book.

Table of Contents

Preface v
Abbreviations xiii
Introduction
1(26)
Contemporary Stage of the Civilization Development
1(5)
Contemporary Global Ecodynamics
6(12)
Sustainable Development
18(5)
Conclusion. Unsolved Problems
23(4)
The Basic Principles of Global Ecoinformatics
27(36)
The Main Idea of Global Ecoinformatics
27(5)
The Technology of Geoinformation Monitoring
32(4)
Elements of the Evolutionary Computer Technology
36(3)
A New Type of Global Model
39(4)
Global Modeling and Theory of Complex Systems Survivability
43(20)
Basic Definitions
45(3)
Study of the Simple Survivability Model
48(10)
Methods for Determining Stable Strategies
58(5)
Mathematical Model for Global Ecological Investigations
63(68)
Conceptual Aspects of Global Ecological Investigations
63(12)
General Description of the Global Model
75(5)
Biogeochemical Cycles
80(20)
Carbon Unit
80(13)
Nitrogen Unit
93(4)
Sulfur Unit
97(3)
Units of Biogeocenotic, Hydrologic and Climatic Processes
100(2)
Other Units of the Nature/Society System Model
102(2)
World Ocean Bioproductivity Unit
102(1)
Demographic Unit
103(1)
Biocomplexity Index
104(4)
Biocomplexity Indicator
104(2)
The BSS Biocomplexity Model
106(2)
Algorithms for the Data Processing
108(14)
Data Reconstruction Using the Harmonic Functions
108(2)
Method for Parametrical Identification of the Environmental Objects
110(1)
Method of Differential Approximation
111(1)
Quasi-Linearization Method
112(10)
Experiments Using the Global Simulation Model
122(9)
Plant Cover Restoration
123(2)
Diversion of Siberian Rivers to Central Asia
125(1)
Forecast for a Regional-Level Ecosystem Dynamics
125(2)
Other Global Simulation Model Applications
127(4)
Modeling of Ocean Ecosystem Dynamics
131(32)
The World Ocean as a Complex Hierarchical System
131(1)
Common Principles for the Synthesis of Ocean Ecosystem Models
132(4)
Equations Describing the Ocean Ecosystem Dynamics
136(4)
Analysis of the Vertical Structure of the Ocean Ecosystem
140(3)
Mathematical Model of the Upwelling Ecosystem
143(14)
Probabilistic Model of the Interaction Between Ocean Ecosystem Components
157(6)
Application of a Global Model to the Study of Arctic Basin Pollution
163(26)
Introduction
163(1)
The Spatial Simulation Model of the Arctic Ecosystem Structure
164(3)
The Marine Biota Unit
167(4)
The Hydrological Unit
171(2)
The Pollution Unit
173(2)
Simulation Results
175(10)
The Assumptions
175(1)
The Dynamics of Arctic Basin Radionuclear Pollution
175(6)
The Dynamics of Arctic Basin Pollution by Heavy metals
181(1)
The Dynamics of Arctic Basin Pollution by Oil Hydrocarbons
182(2)
The Dynamics of the Pollutants in the Arctic Basin
184(1)
Summary and Conclusion
185(4)
Estimation of the Peruvian Current Ecosystem
189(18)
Introduction
189(1)
Block Diagram and Principal Equations of the Peruvian Current Ecosystem (PCE) Model
190(5)
Experiments That Use the Model of the PCE
195(12)
Temperature Variations
197(2)
Variations of Illumination
199(1)
The Effect of Water Saturation with Oxygen
200(2)
The Effect of Varying the Concentration of Nutrients
202(1)
The Effect of Variations in the Velocity of Vertical Advection
202(1)
The PCE Sensitivity with Respect to Variation in the Model Parameters
203(2)
Investigation of PCE Survivability Under Variations in the Trophic Graph
205(2)
A New Technology for Monitoring Environment in the Okhotsk Sea
207(22)
Introduction
207(2)
Block Diagram and Principal Structure of the Simulation Model of the Okhotsk Sea Ecosystem
209(2)
The Marine Biota Unit
211(4)
The Hydrological Unit
215(2)
The Simulation Procedure and Experiments That Use the Simulation Model of the Okhotsk Sea Ecosystem
217(7)
Biocomplexity Criteria and the Evaluation of the Okhotsk Sea Ecosystem
224(4)
Concluding Remarks
228(1)
Pollutants Dynamics in the Angara-Yenisey River System (AYRS)
229(14)
Introduction
229(2)
An AYRS Simulation Model (AYRSSM)
231(5)
On-Site Measurements
236(3)
Radionuclides in River Sediments
236(3)
Heavy Metals in River Sediments
239(1)
Experiments Using the AYRSSM
239(2)
Concluding Remarks
241(2)
Realization of the GIMS-Technology for the Study of the Aral-Caspian Aquageosystem
243(16)
The Nature of the Problem
243(2)
Remote Monitoring Database
245(2)
Theory-Information Model of the Aral-Caspian Aquageosystem
247(3)
Simulation System for the Study of the Hydrological Fields of the Aral Sea
250(2)
Simulation Model of the Kara-Bogaz-Gol Gulf Water Regime
252(2)
Simulation Experiments
254(3)
Summary and Recommendations
257(2)
Monitoring of the Seas in the Oil and Gas Extraction Zones
259(20)
The Problem of Collection and Processing of Data in Monitoring Systems Operating in Zones of Oil and Gas Extraction
259(4)
Concept of a System of Ecological Monitoring of the Sea Surface and the Atmosphere in Zones of Oil and Gas Extraction
263(6)
Estimation of Oil Hydrocarbon Pollution Parameters in Seawater
269(4)
Expert System for the Identification of Pollutant Spills on the Water Surface
273(2)
Monitoring of the Gas Extraction Zone in the South China Sea
275(4)
Decision-Making Procedures in Environmental Monitoring Systems
279(20)
The Problem of Statistical Decision-Making and Basic Definitions
279(7)
Correlation Between Classic and Sequential Decision-Making Procedures
279(2)
Distribution of the Sequential Analysis and Its Universality
281(1)
Scheme of the Decision-Making Procedure Using Sequential Analysis
281(5)
Parametrical Estimations for Sequential Analysis
286(3)
An Algorithm for Multichannel Data Processing in the Decision-Making Task
289(5)
Organizational Scheme of the Statistical Analyzer Operation
290(1)
Error Probability Assessment of the System and the Requisite Delay Memory Capacity with Constant Expectation Time
291(1)
Evaluation of the System Error Probability and the Requisite Memory Capacity Delay with a Constant Number of Computer Storage Registers
292(2)
Applications of the Sequential Decision-Making Procedure
294(5)
References 299(14)
Index 313

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