华南两次强台风暴雨过程的水汽与湿位涡对比分析

【目的】探讨不同季节但路径相似的台风暴雨的相关特征,为不同季节的台风暴雨落区预报提供参考依据。【方法】利用常规的探空和地面资料以及NCEP/NCAR1°×1°全球再分析资料,计算2个强台风的水汽通量散度和湿位涡场。对比分析水汽通量辐合、湿位涡正压项(MPV1)和斜压项(MPV2)的水平和垂直分布特征,以及与暴雨落区的对应关系。【结果】秋季的"彩虹"台风高层副热带高压加强,而中低层冷空气和东南气流的汇合使"彩虹"台风的东侧和北侧获得更有利的动力环境条件;而夏季的"威马逊"台风北侧无冷空气影响,台风南侧外围强盛的西南季风气流卷入。台风"威马逊"期间,强的水汽通量辐合中心始终在台风及其残涡中心的南侧和西侧;台风"彩虹"登陆后60 h内一直持续有2支强盛的气流向台风中心输送水汽,而水汽通量的辐合中心与"威马逊"相反,位于台风中心的北侧和东侧,东南气流的卷入以及维持时间长使暴雨增幅。台风"彩虹"登陆后高层高值MPV1扰动下传,低层MPV2> 0并增强,湿斜压性得以增强,有利于垂直涡度增长,使台风低压得以维持和发展;登陆后48～66 h 925 hPa层MPV1为负值,使对流不稳定能量及潜热能的释放,有利于暴雨的维持。而台风"威马逊"登陆后湿斜压性增强不明显。2个台风强降水中心大致位于925 hPa MPV1正负中心过渡带偏向负中心一侧;"威马逊"过程低层MPV1负值中心在正值中心的左侧,对应着西南季风的汇入区;而"彩虹"过程低层MPV1负值中心在正值中心的右侧,对应着冷空气和东南气流的汇合区。这是2个台风暴雨落区差异的成因之一。【结论】本研究得出的湿位涡诊断结果对台风暴雨落区预报具有较好的指示意义。     

正交试验优选复方莪术散的提取工艺及其颗粒制备工艺研究

目的：优选复方莪术散颗粒的最佳提取与颗粒制备工艺,为该复方的开发利用提供试验依据。方法：采用正交试验法对复方莪术散进行提取,以淫羊藿苷的含量和收率综合评价为指标,通过L_{9（3^{4）正交试验设计对醇的用量、提取的时间和提取次数进行考察,优选复方莪术散的醇提取工艺,再以浸膏为原料,通过L9（34）正交试验设计考察稀释剂（可溶性淀粉）的比例及粘合剂（乙醇）的浓度和干燥温度,制备复方莪术散颗粒。结果：复方莪术散提取最佳工艺为A2B22C11D1,即处方药材加60%浓度的10倍剂量的乙醇,提取2次,每次1.5h为最优。最佳制备工艺为A3B2C2,即干浸膏∶淀粉的比例为1∶2.5,并以90%乙醇为湿润剂,采用湿法制粒的方法,干燥温度为60℃,所制得颗粒剂经检查符合相关要求。结论：本试验所得复方莪术散颗粒剂的提取与制备工艺合理、可行,为该复方的开发利用提供了试验依据。}}     

加味蜀羊泉散联合辛复宁治疗HPV持续感染合并CIN I 30例临床观察

目的：观察加味蜀羊泉散联合辛复宁治疗HPV持续感染伴CIN I临床疗效。方法：将60例HPV持续感染伴CIN I的患者随机分为治疗组和对照组,每组各30例。对照组予辛复宁外用,治疗组在对照组基础上加用加味蜀羊泉散内服,治疗结束后比较2组的综合疗效、HPV转阴率、CIN I逆转率、中医证候积分。结果：治疗组总有效率、HPV转阴率、CIN I逆转率分别为86.67%、73.33%、63.33%,对照组分别为66.67%、53.33%、46.67%,组间比较,差异均有统计学意义（P＜0.05）。中医证候积分治疗前后组内比较及治疗后组间比较,差异均有统计学意义（P＜0.05）。结论：加味蜀羊泉散联合辛复宁治疗HPV持续感染并CIN I有较好疗效,且能明显改善中医证候。     

敛痔散医院制剂质量标准初步研究

目的：研究敛痔散医院制剂质量的初步标准。方法：薄层色谱法定性鉴别敛痔散中的血竭,HPLC法定性鉴别敛痔散中的黄芩;HPLC法和酸碱滴定法分别定量测定敛痔散中盐酸小檗碱和氧化锌。结果：血竭和黄芩均可检出;盐酸小檗碱在0.0239～2.49μg范围内线性关系良好,平均回收率为93.23%,RSD%为7.2%;氧化锌在取样0.02525～0.25204g范围内线性关系良好,平均回收率为101.36%,RSD%为1.0%。结论：本研究为建立规范的质量标准奠定了坚实基础。     

夏玉米在充分供水条件下不同生育期作物系数研究

利用2014年6-10月夏玉米全生育期试验数据和气象数据,采用LG型称重式蒸渗仪分析了在充分供水条件下陕西关中地区夏玉米全生育期最大耗水量及不同生育期的作物系数.结果表明:夏玉米在试验地段从播种到收获共119 d,充分供水条件下夏玉米全生育期最大耗水量599.9 mm.玉米实际蒸发蒸腾量(ET)与参考蒸散量(ET0)的...     

Comparisons of several evaporation/precipitation datasets for the Bohai Sea based on salinity simulation

Evaporation (E) rate and precipitation (P) rate are two significant meteorological elements required in the ocean baroclinic modeling as external forcings. However, there are some uncertainties in the currently used E/P rates datasets, especially in terms of the data quality. In this study, we collected E/P rates data from ERA-40, NCEP/NCAR Reanalysis, HOAPS for the Bohai Sea and nine routine stations around Laizhou Bay, and made comparisons among them. It was found that the differences in E/P rates between land and sea are remarkable, which was due to the difference in underlying surfaces. Therefore, the traditional way of using E/P rates acquired on land directly at sea is not correct. Since no final conclusion has been reached concerning the net water transport between the Bohai Sea and the Yellow Sea, it is unfeasible to judge the adequacy of the four kinds of data by using the water budget equation. However, the E/P rates at ERA-40 sea points were considered to be the optimal in terms of temporal/spatial coverage and resolution for the hindcast of salinity variation in the Bohai Sea. Besides, using the 3-D hydrodynamic model HAMSOM (HAMburg Shelf Ocean Model), we performed numerical experiments with different E/P datasets and found that the E/P rates at sea points from ERA-40 dataset are better than those from NCEP/NCAR Reanalysis dataset. If NCEP/NCAR Reanalysis E/P rates are to be used, they need to be adjusted and tested prior to simulation so that more close-to-reality salinity values can be reproduced.     

“Trends” and variations of global oceanic evaporation data sets from remote sensing

The variability in global oceanic evaporation data sets was examined for the period 1988-2000. These data sets are satellite estimates based on bulk aerodynamic formulations and include the NASA/Goddard Space Flight Center Satellite-based Surface Turbulent Flux version 2 （ GSSTF2）, the Japanese-ocean flux using remote sensing observations （J-OFURO）, and the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite version 2 （HOAPS2）. The National Center for Environmental Prediction （NCEP） reanalysis is also included for comparison. An increase in global average surface latent heat flux （SLHF） can be observed in all the data sets. Empirical mode decomposition （EMD） shows long-term increases that started around 1990 for all remote sensing data sets. The effect of Mt. Pinatubo eruption in 1991 is clearly evident in HOAPS2 but is independent of the longterm increase. Linear regression analyses show increases of 9.4%, 13.0%, 7. 3%, and 3.9% for GSSTF2, J-OFURO, HOAPS2 and NCEP, for the periods of the data sets. Empirical orthogonal function （EOF） analyses show that the pattern of the first EOF of all data sets is consistent with a decadal variation associated with the enhancement of the tropical Hadley circulation, which is supported by other satellite observations. The second EOF of all four data sets is an ENSO mode, and the correlations between their time series and an SO1 are 0.74, 0.71,0.59, and 0.61 for GSSTF2, J-OFURO, HOAPS2, and NCEP in that order. When the Hadley modes are removed from the remote sensing data, the residue global increases are reduced to 2.2% , 7. 3%, and 〈 1% for GSSTF2, J-OFURO and HOAPS, respectively. If the ENSO mode is used as a calibration standard for the data sets, the Hadley mode is at least comparable to, if not larger than, the ENSO mode during our study period.     

海气通量算法在海上蒸发波导诊断中的应用

利用TOGA COARE Bulk Air-Sea Flux Algorithm3.0,建立了基于通量算法的蒸发波导模型(Flux Evaporation duct Model),并进行了环境敏感性分析,而且与Paulus-Jeske模型对比,进行误差敏感性分析,并开展了雷达探测评估的海上试验,较全面的阐述了基于通量算法的蒸发波导模型的性能。     

Sensitivity of penman-monteith reference crop evapotranspiration in Tao’er River Basin of northeastern China

A non-dimensional relative sensitivity coefficient was employed to predict the responses of reference crop evapotranspiration （ET0） to perturbation of four climate variables in Tao＇er River Basin of the northeastern China. Mean monthly ET0 and yearly ET0 from 1961 to 2005 were estimated with the FAO-56 Penman-Monteith Equation. A 45-year historical dataset of average monthly maximum/minimum air temperature, mean air temperature, wind speed, sunshine hours and relative humidity from 15 meteorological stations was used in the analysis. Results show that： 1） Sensitivity coefficients of wind speed, air temperature and sunshine hours were positive except for those of air temperature of Arxan Meteorological Station, while those of relative humidity were all negative. Relative humidity was the most sensitive variable in general for the Tao＇er River Basin, followed by sunshine hours, wind speed and air temperature. 2） Similar to climate variable, monthly sensitivity coefficients exhibit large annual fluctuations. 3） Sensitivity coefficients for four climate variables all showed significant trends in seasonal/yearly series. Also, sensitivity coefficients of air temperature, sunshine hours and wind speed all showed significant trends in spring. 4） Among all sensitivity coefficients, the average yearly sensitivity coefficient of relative humidity was highest throughout the basin and showed largest spatial variability. Longitudinal distribution of sensitivity coefficients for air temperature, relative humidity and sunshine hours was also found, which was similar to the distribution of the three climate variables.