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| 梅江河流域年均降雨量空间插值方法研究 | |
| 引用本文： | 刘胤雯,赖格英,陈元增,黄丽.梅江河流域年均降雨量空间插值方法研究[J].亚热带资源与环境学报,2007,2(3):29-34. |
| 作者姓名： | 刘胤雯 赖格英 陈元增 黄丽 |
| 作者单位： | 1. 江西师范大学,地理与环境学院,南昌,330022;赣州城市规划勘测设计院,江西,赣州,341000 2. 江西师范大学,地理与环境学院,南昌,330022;鄱阳湖生态环境与资源研究教育部重点实验室,南昌,330022 3. 赣州城市规划勘测设计院,江西,赣州,341000 4. 福建师范大学,地理科学学院,福州,350007 |
| 基金项目： | 国家重点实验室基金 , 江西省科技厅国际合作课题 , 江西省教育厅科研项目 , 江西师范大学校科研和教改项目 , 江西师范大学校科研和教改项目 |
| 摘 要： | 分析了降雨空间分布的影响要素及降雨空间插值的主要方法,并在此基础上,利用地理信息系统(GIS)的空间分析功能,综合考虑高程、坡度、坡向等影响降雨空间分布的多种要素,应用协克里金方法,探讨流域降雨量的空间插值问题及其应用,并与反距离权重法、克里金方法等单要素方法进行了降雨空间插值的效果比较.结果表明:应用协克里金方法,在综合考虑高程、坡度、坡向等影响要素的条件下,对降雨进行空间插值,其结果具有比较好的精度. |
| 关 键 词： | GIS 空间插值 协克里金法 反距离权重法 |
| 文章编号： | 1673-7105（2007）03-0029-06 |
| 修稿时间： | 2007-03-28 |
A Research on Rainfall Spatial Interpolation Methods Based on GIS |
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| LIU Yin-wen,LAI Ge-ying,CHEN Yuan-zeng,HUANG Li.A Research on Rainfall Spatial Interpolation Methods Based on GIS[J].Journal of Subtropical Resources and Environment,2007,2(3):29-34. | |
| Authors: | LIU Yin-wen LAI Ge-ying CHEN Yuan-zeng HUANG Li |
| Institution: | 1. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; 2. Key Lab of Poyang 1.ake Ecological Environment and Resource Development, Jiangxi Normal University, Nanchang 330022, China; 3. Ganzhou City Designing Institute of Plan and Perambulation, Jiangxi Ganzhou 341000, China; 4. School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China |
| Abstract: | The factors influencing the spatial distribution of rainfall and main methods of rainfall spatial interpolation were analyzed. Then with a comprehensive consideration of the influences of elevation, slope and aspect, the problem of spatial interpolation and application of rainfall interpolation calculation for the Meijiang River Basin were discussed by the spatial analysing function of GIS. With the reverse distance weighted method, the ordinary Kriging method and the new Co-Kriging method which take the influences of elevation, slope and aspect information into account, the comparison was made on several rainfall spatial interpolation methods with ArcGIS. The study shows that Co-Kriging method is obviously superior to the other two methods . |
| Keywords: | GIS spatial interpolation Co-kriging inverse distance weighing |
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