湖北农业科学 ›› 2021, Vol. 60 ›› Issue (16): 33-37.doi: 10.14088/j.cnki.issn0439-8114.2021.16.007

• 资环∙环境 • 上一篇    下一篇

基于地统计学的大湘西地区降水量空间变异特征分析

张坤1,2, 李晓亮3, 曾林1, 毛承敏1   

  1. 1.怀化市气象局,湖南 怀化 418000;
    2.气象防灾减灾湖南省重点实验室,长沙 410118;
    3.中国人民解放军96833部队,湖南 怀化 418000
  • 收稿日期:2020-07-15 出版日期:2021-08-25 发布日期:2021-09-09
  • 作者简介:张 坤(1985-),女,山东沂水人,高级工程师,硕士,主要从事气象科技服务工作,(电话)18007453697(电子信箱)553575233@qq.com。
  • 基金资助:
    湖南省气象局2018年短平快课题项目(XQKJ18B027)

Spatial variability of precipitation in western Hunan province based on geostatistics

ZHANG Kun1,2, LI Xiao-liang3, ZENG Lin1, MAO Cheng-min1   

  1. 1. Huaihua Meteorological Bureau,Huaihua 418000,Hunan,China;
    2. Key Laboratory for Meteorological Prevention and Mitigation of Disasters in Hunan Province,Changsha 410118,China;
    3. Unit 96833 of the Chinese People's Liberation Army,Huaihua 418000,Hunan,China
  • Received:2020-07-15 Online:2021-08-25 Published:2021-09-09

摘要: 依据大湘西地区1981—2019年降水数据,采用地统计学变异函数理论,对年、季降水量空间结构及变异特性进行分析,并基于普通克里金插值研究年、季降水量空间分布规律。结果表明,大湘西地区年、季降水量均存在二阶趋势,在东西方向上,年、春季及夏季降水量呈倒U形趋势,秋季由东至西逐渐增加,冬季则逐渐减少;在南北方向上,年降水量呈U形趋势,春季及冬季由南至北逐渐减少,夏季及秋季则逐渐增加。通过插值误差的比较得出年、季降水量的最优拟合模型,年降水量为球形模型,春、夏及秋季为高斯模型,冬季为指数模型。冬季降水量的C0/(C0+C)小于25%,说明冬季降水量具有强烈的空间相关性,由随机因素引起的空间变异非常小,年及其他季节降水量的C0/(C0+C)介于25%~75%,说明降水量具有中等强度的空间相关性。大湘西地区年、夏季及秋季降水量基本呈由北向南逐渐递减的趋势,春季及冬季则呈逐渐增加的趋势。

关键词: 地统计学, 降水量, 空间变异特征, 克里金插值, 大湘西

Abstract: Based on the precipitation data of western Hunan province from 1981 to 2019, the spatial structure and variation characteristics of annual and seasonal precipitation were analyzed by using geostatistical variogram theory, and the spatial distribution of annual and seasonal precipitation was studied based on ordinary Kriging interpolation. The results showed that there was a second-order trend in the annual and seasonal precipitation in western Hunan province. In the east-west direction, the annual, spring and summer precipitation presented an inverted U-shaped trend, increased gradually from east to west in autumn, and decreased gradually in winter; In the north-south direction, the annual precipitation presented a U-shaped trend, spring and winter gradually decreased from south to north, and summer and autumn gradually increased. Through the comparison of interpolation errors, the optimal fitting model of annual and seasonal precipitation was obtained. The annual precipitation was spherical model, spring, summer and autumn were Gaussian model, and winter was exponential model. The C0/(C0+C) of winter precipitation was less than 25%, which indicated that the winter precipitation had strong spatial correlation, and the spatial variation caused by random factors was very small. The C0/(C0+C) of annual and other seasonal precipitation was between 25% and 75%, indicating that the precipitation had moderate spatial correlation. The annual, summer and autumn precipitation in western Hunan province was decreasing gradually from north to south, while it was increasing in spring and winter.

Key words: geostatistics, precipitation, spatial variability, Kriging interpolation, western Hunan province

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