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Land data assimilation system (LDAS) has been a powerful tool to optimally combine the advantages of microwave remote sensing and land surface model together and then improve the accuracy of land surface fluxes and status estimation. In this study, we developed a land data assimilation system, in which the water imbalance is constrained by using a multiply times assimilation approach. The first step...
The rapid development of remote sensing technology has led to an increasingly multi-sourced remote sensing data. Storage and management of massive remote sensing data is the basis of remote sensing work. Based on the promotion of urban establishment up at mountains in Yunnan Province, this paper takes the Dianchi Basin as the study area, through the analysis of different spatial resolution, different...
The land use structure and biological service function of Dian-chi lake watershed are being changed by the rapid development of social economy and urbanization, which finally leads to the generation and aggravation of agriculture and urban non-point source pollution in whole basin. Thereby, it is necessary to study the relationship and spatiotemporal process between human activities and land use/cover...
The complexity of LUCC (Land Use / Cover Change, LUCC) determines that it is important to conduct the study of LUCC using complex system theories, in particular by the establishment of a mathematical model for complex systems. In this paper, the LUCC model was built based on GIS technology, CA (cellular automata) and Agent technology. Firstly, Landsat TM data of 2000 and 2010 are used to obtain the...
Land is one of the important resources and material ensure mend for human being to survive and develop. The land resource is a fundamental element in the complex system of “population-resource-environment-development (PRED)”. By using ABM technology, based on Repast platform, establishes the decision-making model of the changes of land use type and classifies as three types of individual, company...
Since AIDS was first discovered, mathematical models of the transmission dynamics of this disease have been developed to determine the drivers of the epidemic. It has become apparent that the most important factor in the propagation of the disease is the aggregate effects of individual behavior and perception of risk in a geographic environment. Agent-based models (ABM) allow one to simulate the social...
At the age of post-Kyoto Protocol, international forestry carbon sequestration project not only has strongly achieved the form of harmoniously developing between economy and environment conservancy in developing countries, but also is promoting the relative research on theory and technology in Forestry Carbon Sequestration. And this paper has discussed that how to establish the Geo-Spatial Model of...
The propagation of influenza through a population is an inherent spatial-temporal process of great importance for modern society. So a spatial explicit epidemiologic model of flu is proposed for a greater understanding of the disease's spatial diffusion through a network of human contacts. The objective of this study is to develop an agent-based modeling (ABM) approach that integrates geographic information...
BACKGROUD: Since Mexico reported the first case of Influenza A H1N1 influenza patients in March 2009, Influenza A H1N1 flu spreads rapidly around the world and threats seriously to human health. OBJECTVIES: (1) Establishing an Agent-based Model (ABM) of H1N1 transmission, simulating and predicting the distribution of location, extent and development of the law of H1N1 to explore the space-time propagation...
Injecting drug use(IDU) has been the dominant route for HIV infection in China, especially in Yunnan province and the HIV epidemic is a complex phenomenon in the world today. The most profound factor in the proliferation of this disease is the aggregate effects of individual behavior and perception of risk. Agent-based modeling (ABM) is the dominant paradigm in social complex network simulation which...
Based on the basic analysis of China's newest coal consumption data, the theory of co-integration is used in this article to analyze the co-integrate relationship between coal consumption and economic growth and the Granger causality model of coal consumption and economic growth is established, leading to the conclusion that there is no longer long-term co-integrate relationship between coal consumption...
Aiming at the difficulty in selecting the maintenance mode for power plant equipment with ration, the fuzzy comprehensive evaluation method based on entropy weight and analytic hierarchy process (AHP) is suggested. It combines entropy weight with AHP for against the casualness and subjectivity in traditional method. With the method, the mode is divided into some layers composed of index factors, and...
Aiming at the difficulty in evaluating the falt risk of the power plant equipment with quantitative method, fuzzy comprehensive evaluation method based on analytic hierarchy process (AHP) is proposed with the help of the theory of fuzzy mathematics. With this method the mathematical model is constructed, and the weight coefficient of each factor is suggested as well as the calculation process. The...
The dynamic cognition or spatio-temporal simulation to geo-objects (geo-spatial objects) or phenomena' is always one of the principal difficulties owing to their dynamic complexity. To solve it to a certain extent, a new mechanism based on Geo-AO is proposed in this paper. First, the popular methods of geo-simulation are analysed and some existing problems are also summarized briefly. Then, geo-cognition...
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