[1]张余庆,陈昌春,尹义星,等.江西多年平均降水量空间插值模型的选取与比较[J].水土保持研究,2013,20(04):69-74.
　ZHANG Yu-qing,CHEN Chang-chun,YIN Yi-xing,et al.Spatial Interpolation Model Selection of Multi-Year Average Precipitation in Jiangxi Province[J].Research of Soil and Water Conservation,2013,20(04):69-74.
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江西多年平均降水量空间插值模型的选取与比较

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 20 期数: 2013年04期 页码: 69-74 栏目: 出版日期: 2013-08-28
Title:
Spatial Interpolation Model Selection of Multi-Year Average Precipitation in Jiangxi Province
作者:
张余庆1, 陈昌春1, 尹义星2, 杨绪红3
1. 南京信息工程大学 遥感学院, 南京 210044;
2. 南京信息工程大学 水文气象学院, 南京 210044;
3. 南京大学 地理与海洋科学学院, 南京 210093
Author(s):
ZHANG Yu-qing1, CHEN Chang-chun1, YIN Yi-xing2, YANG Xu-hong3
1. College of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. College of Hydrometeorology, Nanjing University of Information Science & Technology, Nanjing 210044, China;
3. College of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China
关键词:
江西省; 降水量; 空间插值模型; 克里格插值
Keywords:
Jiangxi province; precipitation; spatial interpolation model; kriging interpolation
分类号:
P333.1
摘要:
为了探究江西省多年平均降水量的空间分布格局，本文选取81个时间序列完整的气象站30 a（1976—2005年）降水数据，运用泛克里格中不同半变异模型对降水数据进行拟合。分别采用65个建模站点交叉验证和16个验证站点的检验，证实了该研究区域多年平均降水量存在较强的空间相关性。通过不同半变异函数模型的对比发现，球面和指数模型在建模站点交叉验证结果中的标准均方根预测误差分别为1.024和1.023，较为接近1，表明其误差较小；其在验证站点检验结果中的标准均方根预测误差分别为1.105和1.104，表明这两种模型的拟合效果较优，能较为真实地反映江西省多年平均降水量的空间分布情况，其中以指数模型拟合效果最优。
Abstract:
To explore the distribution pattern of multi-year average annual precipitation in Jiangxi Province, 81 complete sequence time series of 81 weather stations were used, which included precipitation data of 30 years (1976—2005) in Jiangxi Province. The universal kriging is used in different semivariogram model to fit the precipitation data after exploring the distribution features of the data; according to test of 65 cross validation and inspection of 16 stations, it is indicated that the multi-year average annual precipitation has strong spatial correlation. Through the comparison of different semivariogram function models, it is found that exponential model and spherical model in the results of cross validation stations were 1.024, 1.023 for Root-Mean-Square Standardized, which is close to 1 and error was small. Exponential model and spherical model in the results of inspection stations were 1.105, 1.104 for Root-Mean-Square Standardized, showing that the fitting effect of the two models is better than the others, it can more perfectly reflect the spatial distribution of multi-year average precipitation in Jiangxi Province, in which the result of exponential model can obtain the better integer effect within the existing weather stations network.

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备注/Memo

收稿日期:2012-11-23;改回日期:2013-01-29。
基金项目:气象灾害省部共建教育部重点实验室（南京信息工程大学）开放课题（KLME1208）
作者简介:张余庆(1988-),男,江苏扬州人,硕士研究生,主要从事水文水资源模拟研究。E-mail:geonuist@foxmail.com
通讯作者:陈昌春(1963-),男,副教授,硕士生导师,主要从事水文水资源模拟研究。E-mail:changchunc@nuist.edu.cn

更新日期/Last Update: 1900-01-01