首页 | 本学科首页   官方微博 | 高级检索  
     检索      

淮北地区土壤墒情动态预测
引用本文:孙秀邦,严平,黄勇,马友华.淮北地区土壤墒情动态预测[J].合肥工业大学学报(自然科学版),2007,30(9):1144-1147.
作者姓名:孙秀邦  严平  黄勇  马友华
作者单位:1. 安徽农业大学,资源与环境学院,安徽,合肥,230036
2. 安徽省气象科学研究所,安徽,合肥,230031
基金项目:世界很行加灌三期项目“安徽省农业灾害规律与减灾防灾策略研究”基金资助
摘    要:利用与土壤墒情密切相关的气象因子,逐步回归分析1981—2003年土壤墒情变化与气象因子之间的关系,建立安徽省淮北地区各季节土壤墒情的预报模型;结果表明利用时间连续性较好的5个站点的土壤湿度、降水量、日照3个因子建立的预报模型,经检验可以应用到整个淮北地区,春夏秋冬各季节平均预报精度分别为88.92%、91.35%、91.96%、92.94%。

关 键 词:淮北地区  土壤墒情  模型
文章编号:1003-5060(2007)09-1144-04
修稿时间:2007年2月10日

Dynamic forecasting of soil humidity in the Huaibei area of Anhui Province
SUN Xiu-bang,YAN Ping,HUANG Yong,MA You-hua.Dynamic forecasting of soil humidity in the Huaibei area of Anhui Province[J].Journal of Hefei University of Technology(Natural Science),2007,30(9):1144-1147.
Authors:SUN Xiu-bang  YAN Ping  HUANG Yong  MA You-hua
Abstract:Soil humidity is influenced by multiple weather factors such as precipitation,evaporation,temperature and sunlight.Based on the observation data of soil humidity and meteorological data from 1981 to 2003 in the Huaibei area of Anhui Province,the forcasting model of soil humidity in the four seasons is established by stepwise regression analysis.The average forecast precision of soil humidity in spring,summer,autumn,and winter is 88.92%,91.35%,91.96% and 92.94% respectively.It is concluded that the accumulating values of precipitation and sunlight in a period of ten days and the current soil humidity can be used preferably to estimate the soil humidity in ten days.
Keywords:Huaibei area  soil humidity  model
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号