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On the Applied Research in the Forest Fireproofing System of the Geographic Information System
Author: YangJin
Tutor: YangZhiGao
School: Central South University of Forestry Science and Technology
Course: Forest Management
Keywords: Guangzhou GIS Spatial Analysis Forest Fire Prevention Artificial Neural Networks A ~ * algorithm
CLC: S762
Type: Master's thesis
Year: 2007
Downloads: 90
Quote: 0
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Abstract
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Strengthen forestry construction is an important mission for our country in the 21st century ecological environment construction and to promote sustainable social and economic development. Implement the strategy of sustainable development, and should be given the status of forestry to important. International Flower City of Guangzhou City, in the decade greening, forest area is greatly increased, prone to forest fires. How to better control forest fires, forest fires to reduce the losses to a minimum, and is one of the important issue facing forest fire prevention staff in the new century. In recent years, with artificial intelligence, simulation, virtual reality technology is maturing, computer information technology has been widely used in various aspects of forest fire monitoring, information management of forest fires, fire forecasting. Geographic information systems by means of its own spatial analysis functions can be easily forecast, decision-making model based on the space attribute data. Simulate, compare and evaluate the various processes, decision-making program, selected to form a comprehensive or special report output for decision makers. This paper combines spatial analysis of geographic information system technology, the theory of nonlinear programming utility theory, virtual simulation technology and mathematical methods, artificial neural network theory, optimization methods such as forest fire GIS spatial analysis done the following research: (1) the observation deck control range analysis. The use of artificial neural network theory and spatial analysis of GIS Lookout, Baiyun District of Guangzhou, the distribution of mathematical modeling, the optimal distribution of the observation deck. (2) Fire Danger Class Division. The use of GIS technology to determine the level of fire risk zone rules for forest fire risk zone in Guangzhou. (3) the spread of forest fires. Combination of forest fire spread in mathematical models and GIS, a geographic information system support fire spread dynamic simulation and optimization predicted. (4) the best path analysis. Traditional algorithm based on the introduction of an efficient implementation of the algorithm - added restrictions heuristic search A * algorithm shortest path problem. (5) fire fighting situation analysis. Analysis of the environment around the fire, on the basis of the results in the forecast: to allow decision-makers to make optimization decisions in advance to gain time for fire-fighting. GIS spatial analysis greatly improve the science and application of forest fire forest fire. How to combine the forest fire Guangzhou characteristics, to optimize the application of GIS spatial analysis functions, the development of the cause of forest fire with Guangzhou Features a long way to go.
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CLC: > Agricultural Sciences > Forestry > Forest Protection > Forest fire
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