A global simulation model as a method for estimating the role of urban areas in global change
- Institute for Ecoinformatics Problems, Fryazino (Russian Federation)
- Dillard Univ., New Orleans, LA (United States)
- Remote Possibilities, Inc., Auburn, AL (United States)
The study of global biospheric processes is undertaken in the framework of national and international programs. To support this, parameters, as well as other global demographic and geospheric integrated with multi-scale processes, have been created and subsequently models for the maps appropriate to each attribute. There are numerous models for the description of process dynamics. In most cases, models are use to analyze and address these relative to urban geographic space. To facilitate the understanding of the role of urban areas in the dynamics of global change, it is necessary to use a Spatial Global Model (SGM). This paper argues that a focus on the problems of SGM synthesis may suggest some ways of developing a constructive approach to the problem described. The world complex of Urban Areas Systems (UAS) influences biospheric processes to a very great extent. In turn, urban influences on biospheric processes can be evaluated by using the SGM. The biosphere is the complex of subsystems interacting with itself and a climatic system. The interaction criterion of these subsystems is related to its survivability. This paper describes the SGM within the context of a theoretical game structure in the following set of blocks: biogeochemical cycles of carbon, nitrogen, phosphorous, sulfur, and oxygen; the hydrologic cycle; marine biota; soil-plant formation; and human activity. The spatial structure of the SGM is determined by discretization of the earth surface; typically a geographic grid with incremental latitudinal and longitudinal values comprising the input parameter. The SGM has a simple climate block and the model is oriented relative to linkages with the complex climatic model. This paper discusses the problems of SGM synthesis, survivability, and software structure. Examples of SGM experiments are given.
- OSTI ID:
- 478365
- Report Number(s):
- CONF-961119-; TRN: 97:002641-0025
- Resource Relation:
- Conference: Eco-informa `96: global networks for environmental information, Lake Buena Vista, FL (United States), 4-7 Nov 1996; Other Information: PBD: 1996; Related Information: Is Part Of Proceedings of Eco-Informa `96 - global networks for environmental information. Volume 10 and 11; PB: 1103 p.
- Country of Publication:
- United States
- Language:
- English
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