[Objective]The aim was to research influence of climate conditions on potato yield and establish the forecasting model of potato yield.[Method]SPSS（Statistical Package for the Social Sciences） was used to separate potato output into meteorological yield and tendency yield over the years,and analysis of the relation between potato climate yield and meteorological factors was carried out.[Result]The result showed that affecting yield factor consisted of the universality and regional.The universality included vapour pressure or relative humidity of air in last August-September,precipitation in late June to early July and in mid-August;The regional is including precipitation in January and in early to mid April,vapour pressure of air in May.Prediction model about yield was established by using stepwise regression method,which qualified rates of fitting better quality.[Conclusion]Because of its long effective period,high accuracy and simplicity to dalculate,the method provided a guarantee for weather service on the crop farming of potatoes.
[Objective] The aim was to study the characteristics of the changes of extreme weather climate incidents such as severe drought in northwest and rainstorm in Xiji County of Ningxia. [Method] Precipitation anomaly percentage was applied to divide drought level and for statistics analysis. Seasonal index, linear tendency, and 5-years gliding average were used to reflect the trend of drought changes. The circulation wave of temporal sequence used polynomial expression to simulate the interannual variation scale. The positive part of the polynomial expression used bar chart to simulate interannual variation scale. [Result] The index of drought season from November to June was large. The general trend of annual drought was increasing. The drought of interannual scale was most serious around 1977, about 15 and 20 years. The drought in recent years went up. The general situation of drought, interannual scale and changes of interannual scales from March to May and from September to October were discussed. Based on the weather at 500 hPa, the first rain in Xiji and the drought-turning-into-rain situation were classified. [Conclusion]These may provide reference value to the prevention and mitigation of drought.
[Objective] The paper was to study the climate conditions of celery indus- trial belt in Huluhe Basin. [Method] Using the climate data of Xiji national basic sta- tion during 1981 and 2010, the meteorological data during crop growth period in 3 automatic weather stations along Huluhe Basin were carried out regression analysis, and the climate condition of west celery industrial belt was conducted hierarchical clustering analysis by SPSS. [Result] West celery industrial belt along Huluhe Basin could be divided into 2 growing regions： partially southern warm, rainy and early mature region, partially northern cold, rainless and late mature region. Years of practice proved that the small climate differences within 2 planting regions were more obvious, so these 2 planting regions could be further divided into 4 subre- glens： Xinglong warm, rainy and early mature subregion, Xiaohe thermal, rainy and partially early mature region, Jiqiang cool, rainless and middle mature subregion and Xinying cold, rainless and late mature subregion. [Conclusion] The study has refer- ence value for determination of different sowing time, different fertilizer and irrigation scheme, pests and diseased control and marketing time of west celery under mulch- sanded bunch plantation in market economic condition.
