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基于模糊数据挖掘技术的林火行为预测研究(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2006年04期
Page:
97-100
Column:
研究论文
publishdate:
2006-04-20

Article Info:/Info

Title:
Predicting Forest Fire Behavior Based on Fuzzy Data Mining Technique
Article ID:
1000-2006(2006)04-0097-04
Author(s):
XIAO Hua-shun ZHANG Gui* CAI Xue-li
College of Science Central South University of Forestry and Technology, Zhuzhou 412006, China
Keywords:
Fire spreading model Forest fire behavior forecasting Fuzzy data mining
Classification number :
S762
DOI:
10.3969/j.jssn.1000-2006.2006.04.023
Document Code:
A
Abstract:
Fire spreading is of an utmost intricate flaming phenomenon, the scientific fire spreading model is the key to forecasting forest fire behaviors. Generally, it is complicated and time-consuming to find improvement and appraise the fire-spreading model, which is applicable to a certain forest area. At present, the method to forecast is a single fire-spreading model or the one selected by commanders. However, based on the Fuzzy Data Mining Technique, indices for fire behavior are established to form fire data warehouse. These are quantity of forest combustible, auriferous quantity of it, inflammability and slope in Guangzhou. So the discovering and forecasting function of Fuzzy Data Mining technique are used on forecasting forest. According to the handy principle, three modes are discovered and the corresponding fire-spreading mode is matched for the certain style, which is induced to form the fire data warehouse. Furthermore, so long as the real-time fire indices are provided by commanders, the close model can be distinguished. Therefore, the suited fire-spreading model can be selected automatically to forecast the forest fire behavior, in this way, dependability of forecasting can be gained.

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Last Update: 2013-05-20