自然资源学报 ›› 2014, Vol. 29 ›› Issue (6): 1065-1075.doi: 10.11849/zrzyxb.2014.06.014

• 资源研究方法 • 上一篇    下一篇

东北地区土壤湿度的区域性预报模型研究

孙倩倩1, 刘晶淼2, 梁宏3   

  1. 1. 中国气象局气象影视中心, 北京 100081;
    2. 中国气象局沈阳大气环境研究所, 沈阳 110016;
    3. 中国气象科学研究院, 北京 100081
  • 收稿日期:2013-05-07 修回日期:2013-07-02 发布日期:2014-06-24
  • 通讯作者: 刘晶淼,研究员。E-mail:jingmiaol@cams.cma.gov.cn E-mail:jingmiaol@cams.cma.gov.cn
  • 作者简介:孙倩倩(1988-),女,山东潍坊人,硕士,主要从事气候变化及对农业影响方面的研究。Email:sunqianceo@163.com
  • 基金资助:

    公益性行业(气象) 科研专项(GYHY201106026)

Analysis of Regional Soil Moisture Forecasting Model in Northeast China

SUN Qian-qian1, LIU Jing-miao2, LIANG Hong3   

  1. 1. Video and Audio Center, China Meteorological Administration, Beijing 100081, China;
    2. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China;
    3. Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • Received:2013-05-07 Revised:2013-07-02 Published:2014-06-24

摘要:

基于东北地区近30 a(1981—2010 年)土壤湿度观测资料,采用CAST聚类方法进行土壤湿度区划,对各区域土壤湿度的时空变化特征展开分析,建立土壤湿度的分区预报模型。结果表明:东北地区中部的土壤湿度在近30 a 内呈上升趋势,其余部分则呈下降趋势,但北部的下降趋势较小,西部下降趋势较大;各区域土壤湿度的显著影响因子有所差异,但都与前一旬的土壤湿度和降水量有较大的相关性;利用1981—2007 年的数据建立各区域的土壤湿度预报方程,利用2008—2010 年的数据对预报方程进行检验,土壤湿度的预报平均相对误差小于13.67%,预测值与观测值较为接近,基本可反映土壤湿度的实际变化情况。

关键词: 土壤湿度, 聚类统计, 东北地区, 预报模型

Abstract:

The spatial-temporal variations of soil moisture in Northeast China are analyzed by using the observation data from 1981 to 2010 with cluster analysis statistic test (CAST). The regional soil moisture forecasting model is also established. The results show that the soil moisture shows an upward trend in central part and a downward trend in other parts in recent 30 years, but the western part shows a larger decline, the southern part presents a smaller decline. The significant impact factors of soil moisture are different in different parts of the region. But the correlation is evident when compared with precipitation and soil moisture in ten days before. The forecast equations of different parts are established with the data from 1981 to 2007 and checked with the data from 2008 to 2010. The average relative errors are all less than 13.67%. The predicted value is closed to the observation value, so the real situations of soil moisture can be showed by this predicted value.

Key words: soil moisture, forecasting model, Northeast China, cluster analysis statistic test

中图分类号: 

  • S152.7