积温分布的空间模拟及三维可视化初探

选取云南省130个气象站点的积温（≥10．8℃）、海拔、纬度、经度、坡度和坡向实测数据，结合云南省1：250000DEM地形图提取的5个环境梯度因子数据，并经相关处理和转化后，利用回归分析方法和空间捅值方法，构建海拔（x1）、纬度（x2）、经度（x3）、坡度（x4）、坡向指数（x5）与积温（y）的多元线性回归分布预测模型。结果表明，预测的多元线性回归模型为y=28978．223—2．080xr-232．423zr144．803x3．对积温分布的影响大小依次为x2、x3、x1。利用ARCINFO软件将相关环境梯度因子代人模型得到平面积温分布图．对DEM数据进行渲染操作得到地形立体效果图，将平面积...

Full description

Saved in:
Bibliographic Details
Published in广东农业科学 Vol. 39; no. 16; pp. 182 - 184
Main Author 高仲亮 周汝良 李智 龙腾腾 崔飞 仝艳民
Format Journal Article
LanguageChinese
Published 西南林业大学土木工程学院,云南昆明650224 2012
云南省森林灾害预警与控制重点试验室,云南昆明650224%西南林业大学土木工程学院,云南昆明,650224
Subjects
三维可视化
模型
积温
空间模拟
空间模拟
积温
三维可视化
模型
Online AccessGet full text

Cover

More Information
Summary:选取云南省130个气象站点的积温（≥10．8℃）、海拔、纬度、经度、坡度和坡向实测数据，结合云南省1：250000DEM地形图提取的5个环境梯度因子数据，并经相关处理和转化后，利用回归分析方法和空间捅值方法，构建海拔（x1）、纬度（x2）、经度（x3）、坡度（x4）、坡向指数（x5）与积温（y）的多元线性回归分布预测模型。结果表明，预测的多元线性回归模型为y=28978．223—2．080xr-232．423zr144．803x3．对积温分布的影响大小依次为x2、x3、x1。利用ARCINFO软件将相关环境梯度因子代人模型得到平面积温分布图．对DEM数据进行渲染操作得到地形立体效果图，将平面积温分布网和DEM立体效果图相叠加即实现积温分布立体效果图可视化．以更好地观察地势高低的积温分布。
Bibliography:44-1267/S
The measured data including accumulated temperature （≥ 10.8℃）, elevation, latitude, longitude, slope and aspect, were selected fi＇om 130 weather station in Yunnan province, and five environmental gradient factors data were extracted from 1： 250000 DEM geographical map of Yunnan province. The muhivariate linear model on accumulated temperature distribution predicting was established based on elevation（x1）, latitude（x2）, longitude（x3）, slope（x4）, aspect index（xs） and accumulated temperature （y） with regress analysis methods and spatial interpolation methods ＇after correlative processing and converting. The results showed that the multivariate linear model was y=28978.223-2.080x1-232.423x2-144.803x3, influencing factors of accumulated temperature were arranged in order of x2,x3,x1. Relevant environmental factors were put into the model to gain flat area accumulated temperature distribution maps with ARCINFO software, and DEM data were rendered to obtain terrain three-dimensional ten＇ain effects chart. A
ISSN:1004-874X
DOI:10.3969/j.issn.1004-874X.2012.16.057