针对茶树生长对气候条件的要求，分析大别山区茶树种植的有利气候资源，即充足的热量、水分资源和较长的生长期；阐述影响茶树生长的主要气象灾害及防范；提出该地区茶叶优质高产的对策，以期为当地茶叶产业提高产量和产值提供理论依据。

Based on the pentad-by-pentad data of systematic investigation of riceplanthopper population per 100 crowds from 2005 to 2007 at Tongcheng,the main meteorological factors affecting the occurrence grade of riceplanthopper have been analyzed.The results show that:there are significant negative correlations between dekad average temperature,pentad average temperature and the data of riceplanthopper population per 100 crowds,high temperatures have inhibition effects on riceplanthopper population,and the optimum pentad average temperatures for occurrence of riceplanthoppers are 20.5℃.The model of forecasting riceplanthopper occurrence by use of Kalman filter has been established,which can forecast the meteorological conditions of riceplanthopper occurrence and provide a basis for pest control.The historical data fitting and test application in 2008 show that the accuracy,reliability and stability of the model are good,therefore it can be applied to agrometeorological operations.

分析了五河县小麦晚(迟)播的原因及实践情况,总结了晚(迟)播小麦高产栽培技术要点,以期改善五河县小麦晚(迟)播技术水平,提高小麦产量。

[Objective]The meteorological condition of early warning forecast was developed,which provided a basis for pest control pest. [Method]Field systematic investigation of riceplanthopper numbers in hundred clump in Tongcity of 2005 -2007 was used,the effects of main meteorological factor on occurred degree of were analyzed,suitable meteorological condition and so on level forecast model were established based on the application of Multiple linear regression techniques.[Result]The result showed that a ten-day period average temperature,the period of five days average temperature had the remarkable negative correlation with system investigation of Tongcheng riceplanthopper hundred clump of insect quantity,and demonstrated that the high temperature had inhibitory action on riceplanthopper occurrence,the suitable period of five days average temperature was 20.5℃.Precipitation,precipitation factors and relative humidity and so no factors effected the riceplanthopper occurrence through some kind of combined action mechanism.According to the above,the meteorological condition rank forecast model of Tongcheng riceplanthopper occurrence was Df= INT(0.982 6 -0.097 8X_1 +0.065 3X_2 +0.629 1X_3).[Conclusion]This riceplanthopper meteorological condition rank model had a good suitable ability,through the history fitting and 2008 tested report,the fitting rate is higher,reported test results are good,and reliability,and are available for business application.