利用常规天气资料、NCEP/NCAR的1°×1°再分析资料对2012年3月19日发生在北疆沿天山地区强降水过程造成航空器严重积冰的天气进行了分析。结果表明:(1)500 h Pa西南急流和400 h Pa以上偏西急流的存在,配合中低空冷空气的补充,为积冰天气的形成提供了适宜的条件。(2)乌鲁木齐上空高湿层随时间逐渐下降,对应的温度、温度露点差向适宜积冰的区域变化,为强积冰天气提供了有利的温湿条件。(3)强积冰区存在一个弱的、持续性的垂直上升运动,垂直运动导致液态水聚集带形成,弱上升运动区对应发生强积冰合适的温湿高度层。(4)19日14时~20日02时,石河子到乌鲁木齐区域积冰指数是一个迅速增大的过程,强积冰区由石河子经呼图壁向乌鲁木齐蔓延,积冰高度随时间下降。 相似文献
Using 86 CME-interplanetary shock events,the correlation between the peak values of (a) the solar wind parameters(Bz,Ey,Pdyn) and the geomagnetic indices(SYM-H,ASY-H,Kp), (b) the coupling functions(Borovsky,Akasofu,Newell) and the geomagnetic indices,(c) the solar wind parameters/coupling functions/geomagnetic indices and the ionospheric parameter(Δf0F2min), are investigated.The statistical results show that in group(a),Bz min and SYM-Hmin have the best correlation,that in group(b),the best correlation is between the peak values of Akasofu function (Amin) and SYM-Hmin,and that in group(c),the best correlation is between Kpmax andΔf0F2min. Based on the statistical results,a method for predicting f0F2 of a single station is attempted to be set up.The input is modified Bz min and the outputs are SYM-Hmin andΔf0F2min.Then 25 CME-IPS events that caused geomagnetic storms in 1998 and 2009 are used to check the prediction method. The results show that our method can be used to predict SYM-Hmin andΔf0F2min. 相似文献
The objectives of the present study were to develop a new index based on remotely-sensed data for detecting the abundance of grasses in the family Poaceae, which has a high palatability for livestock in Mongolia, and to map the distribution of these grasses in the semi-arid Mongolian steppes. We measured ground-based spectral reflectance of pure plant leaves – including Poaceae grasses – and soils, as well as in-situ in the Mongolian grasslands. The hyper-spectral data, taken by a spectroradiometer, were converted into four multi-spectral bands (i.e., blue, green, red, and NIR) to simulate satellite-based imagery data. In order to magnify the characteristics of the spectral signal of Poaceae, NGBDI (Normalized Green-Blue Difference Index), NGRDI (Normalized Green-Red Difference Index), NDVI (Normalized Difference Vegetation Index), NNBDI (Normalized NIR-Blue Difference Index) were calculated from the four multi-spectral reflectance values. Poaceae Abundance Index (PAI) was derived by combining these four normalized difference indices. PAI was found out to be a good indicator to discriminate Poaceae grass from the other plant spectral data. 相似文献
Four soybean cultivars (‘Atlantic’, ‘Cresir’, ‘Pr91m10’ and ‘Regir’), selected through a theoretical procedure as suitable for cultivation in BLSS, were evaluated in terms of growth and production. Germination percentage and Mean Germination Time (MGT) were measured. Plants were cultivated in a growth chamber equipped with a recirculating hydroponic system (Nutrient Film Technique). Cultivation was performed under controlled environmental conditions (12 h photoperiod, light intensity 350 μmol m−2 s−1, temperature regime 26/20 °C light/dark, relative humidity 65–75%). Fertigation was performed with a standard Hoagland solution, modified for soybean specific requirements, and EC and pH were kept at 2.0 dS m−1 and 5.5 respectively. 相似文献