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云南水稻水分敏感指标空间变异规律研究
引用本文:王龙,李靖. 云南水稻水分敏感指标空间变异规律研究[J]. 云南农业大学学报(自然科学版), 2007, 22(2): 275-279
作者姓名:王龙  李靖
作者单位:云南农业大学水资源与节水灌溉重点实验室,云南农业大学水资源与节水灌溉重点实验室 云南昆明650201,云南昆明650201,云南省环境科学与工程创新基地,云南昆明650201
基金项目:云南省“十五”科技重点攻关课题(2002NG14),云南省高校学术带头人基金项目
摘    要:
 利用云南水稻多年平均水分敏感指标数据,以地统计学作为理论工具,在地理信息系统软件平台上,对云南水稻水分敏感指标进行了空间变异规律分析,并优选出插值模型。研究表明:云南水稻多年平均水分敏感指标变异函数以普通克里金球状模型拟合最优、80.5度方向变程最大、插值模型以普通克里金球状模型插值精度较高。

关 键 词:水分敏感指标  空间变异  变异函数  空间插值
文章编号:1004-390X(2007)02-0275-05
收稿时间:2006-04-17
修稿时间:2006-04-17

Study on Spatial Variability of Rice Water Sensitivity Index in Yunnan Province
WANG Long,LI Jing. Study on Spatial Variability of Rice Water Sensitivity Index in Yunnan Province[J]. Journal of Yunnan Agricultural University, 2007, 22(2): 275-279
Authors:WANG Long  LI Jing
Affiliation:1. Key Laboratory for Water Resource and Water-Saving Irrigation, YAU, Kunming 650201, China; 2. Innovation Center of Environment Science and Engineering of Yunnan Province, Kunming 650201, China
Abstract:
Supported by the semivariogram and GIS,the spatial variability and the interpolation methods as well of the simulated results were analyzed.Through the above researches,such conclusions were drawn that in the course of fitting the semivariogram of the yearly annual mean rice water sensitivity index in Yunnan,the fitting precision of ordinary Kriging spherecial model is better than others;range at the direction of 80.5 degree is outstanding than others;as for the precision of interpolation,ordinary Kriging spherecial model is higher than others.
Keywords:water sensitivity index  spatial variability  variogram  spatial interpolation
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