원문정보
초록
영어
In order to achieve the predicted speed, high accuracy, the use of simple purpose, forest fire prediction of the key issues is to choose the main predictors. Forest fire prediction involves many factors, some of which are stable factors such as climate, topography, forest characteristics; and some unstable factors, such as fuel moisture content, meteorological factors, and other sources of ignition. Currently leading factor in the prediction of forest fire is often used in the fuel moisture, precipitation or dry days, relative humidity, temperature and wind five factors. In this paper, some of the data Yichun fire nearly a decade predict the forest fire meteorological data analysis, using multivariate linear regression to derive forest fire prediction method in the wireless sensor networks.
목차
1. Regional Overview Research
2. Analysis of Factors Affecting the Occurrence of Forest Fires
2.1. The Influence of Seasonal Variation on the Occurrence of Forest Fires
2.2. The Influence of Meteorological Factors on the Occurrence of Forest Fires
2.3. The Influence of Other Factors on the Occurrence of Forest Fires
3. The Contribution of a Single Factor of Meteorological Factors Occurring Forest Fires
3.1. The Contribution of the Daily Maximum Temperature on Forest Fire Occurrence
3.2. The Contribution of Diurnal Temperature Range on Forest Fire Occurrence
3.3. The Contribution of Diurnal Temperature Range on Forest Fire Occurrence
3.4. The Average Relative Humidity of the Air Three Days Before on Forest Fire Occurrence
3.5. The Contribution of 24 Hours of Precipitation on Forest Fire Occurrence
3.6. The Contribution of Wind Speed on Forest Fire Occurrence
4. Logistic Regression Test the Contribution of Various Meteorological Factors
4.1. Logistic Regression Method
4.2. Calculate the Likelihood Ratio of the Meteorological Factors Using Logistic Regression
5. The Achievement of Integrated Meteorological Indicators to Predict Forest Fire Method
5.1. Multiple Linear Regression Equation
5.2. Multiple Linear Regression Equation to Predict Forest Fires Fire Rating
6. Conclusion
Acknowledgement
References