[1]袁金龙,胡晓东,张凯,等.江苏省不同尺度降水量插值方法适应性分析与评估[J].江苏水利,2022,(11):54-56.
　YUAN JinLong,HU Xiaodong,ZHANG Kai,et al.Adaptability analysis and evaluation of interpolation methods of precipitation at different scales in Jiangsu Province[J].JIANGSU WATER RESOURCES,2022,(11):54-56.
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江苏省不同尺度降水量插值方法适应性分析与评估()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年11期
页码:
54-56
栏目:
水文水资源
出版日期:
2022-11-25

文章信息/Info

Title:
Adaptability analysis and evaluation of interpolation methods of precipitation at different scales in Jiangsu Province
文章编号:
1007-7839（2022）11-0054-0003
作者:
袁金龙1; 胡晓东2; 张凯3; 林诚杰1; 王洁1
（1.南京信息工程大学 水文与水资源工程学院，江苏 南京210044；2.江苏省水利科学研究院，江苏 南京210017；3.江苏省灌溉总渠管理处，江苏 淮安223200）
Author(s):
YUAN JinLong1;  HU Xiaodong2;  ZHANG Kai3;  LIN Chengjie1;  WANG Jie1
（1.School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2.Jiangsu Hydraulic Research Institute, Nanjing 210017, China; 3.General Irrigation Canal Management Office of Jiangsu Province, Huai’an 223200, China）
关键词:
降水量; 空间插值; 数据对比
Keywords:
precipitation;  spatial interpolation;  data comparison
分类号:
TV125
文献标志码:
A
摘要:
基于江苏省23个气象站点近年的气象资料，对数据进行处理，划分为多年、四季及丰枯水年3种时间尺度的降水资料，将站点分为插值站和验证站，再使用反距离加权法、趋势面法及克里金法对降水数据进行插值。综合平均绝对误差、平均相对误差、均方根误差、相关系数4个评估指标以及构建的综合指标，对插值方法的精度进行综合评估。从年均降水量来看，泛克里金法的插值精度最高；从四季降水来看，趋势面法对春季降水的插值效果最好，简单克里金法对夏季降水的插值效果最好，反距离加权法对秋季降水的插值效果最好，泛克里金法对冬季降水的插值效果最好；从丰枯水年的角度来看，对枯水年的插值推荐使用趋势面法，对丰水年的插值推荐使用简单克里金法。
Abstract:
The recent years’time series meteorological data of 23 meteorological stations in Jiangsu Province were used in this study. First, the data was processed and divided into three temporal scales: annual average, seasonal average, typical wet and dry year. Then, the precipitation data were interpolated using the inverse distance weighting method, the trend surface method, and the kriging method, respectively. And the mean absolute error, mean relative error, root mean square error, correlation coefficient and comprehensive indicators were used for comparative analysis. From the perspective of annual average precipitation, the interpolation accuracy of the universal kriging method was the highest; From the perspective of precipitation in different seasons, the trend surface method had the best interpolation effect on spring precipitation, and the simple kriging method showed the best interpolation result for summer precipitation. The inverse distance weighting method had the best interpolation effect on autumn precipitation, and the universal kriging method had the best interpolation effect on winter precipitation; From the perspective of wet and dry years, the trend surface method and the simple kriging method was recommended for dry and wet years respectively in Jiangsu Province.

参考文献/References:

[1]陈华，盛晟，夏润亮，等. 基于矩阵分解的降水时空插值方法[J]. 河海大学学报(自然科学版)，2021，49(1):35-41.
[2]李金洁，王爱慧. 基于西南地区台站降雨资料空间插值方法的比较[J]. 气候与环境研究，2019，24(1):50-60.
[3]张孟丹，余钟波，谷黄河，等. 无定河流域降水量空间插值方法比较研究[J]. 人民黄河，2021，43(4):30-37.
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备注/Memo

备注/Memo:
收稿日期：2022-07-06
基金项目：江苏省水利科技项目（2020040）；河北省省级科技计划资助项目（19275408D）；国家自然科学基金面上项目（41671022；41877158）
作者简介：袁金龙（2000—），男，硕士研究生，主要研究方向为水文气象。E-mail:970800339@qq.com
通信作者：王洁（1984—），男，副教授，博士，主要研究方向为水利工程。E-mail:wangjie0775@163.com
更新日期/Last Update: 2022-11-25