基于卷积神经网络和气象逻辑因子回归的表面死燃料中的水含量预测模型
Long Sun1, Ling-Gan Ma1, Yan Guo1
1School of Forestry, Northeast Forestry University, Harbin 150040, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|October 29, 2023
概括
预测表面燃料水含量对于森林火灾管理至关重要. 一个深度学习的卷积神经网络显著超过了传统的回归,为预测燃料湿度提供了一个更精确的工具,并帮助评估火灾风险.
科学领域:
- 林业科学 林业科学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 表面燃料水含量是森林火灾风险和行为的关键指标.
- 准确的预测模型对于有效的森林火灾管理和风险评估至关重要.
研究的目的:
- 为了对影响表面燃料水含量的气象因素的重要性进行排名.
- 使用卷积神经网络和传统回归来开发和比较表面燃料水含量的预测模型.
主要方法:
- 随机森林分析用于气象因素重要性排名.
- 对于气象因素关系的皮尔森相关性分析.
- 深度学习卷积神经网络 (CNN) 用于燃料水含量预测.
- 与气象因素回归模型进行比较.
主要成果:
- 在 *Quercus mongolica* 森林中,燃料水含量高于在 *Pinus sylvestris* 森林中. 蒙古的森林. 蒙古的森林.
- 湿度,温度,降雨量,风速和太阳辐射被确定为影响燃料水含量的关键因素.
- 该CNN模型实现了高预测准确性 (R2为0.928和0.905) 与低误差 (MAE为6.1%和8.1%).
- 美国有线电视新闻网 (CNN) 模型的表现明显优于气象因素回归 (R2为0.495和0.525).
结论:
- 深度学习的卷积神经网络提供了一个非常精确的方法来预测表面燃料水含量.
- 开发的CNN模型可以有效地支持森林火灾管理和风险评估.
- 这种方法为未来燃料含水量预测提供了宝贵的参考.
更多相关视频
08:31The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
Published on: December 27, 2017
12.6K
13:27Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
8.8K
相关概念视频
Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
Precipitation Gravimetry
6.6K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
6.6K
Regression Analysis
5.7K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
5.7K
What is Weather?
18.3K
Overview
18.3K
Measurement of Air Content in Concrete
160
Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
The pressure method,...
160
Precipitation and Co-precipitation
1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.8K
