Tidal effects on diel variations of picoplankton and viruses in the Changjiang estuary

Spatial distributions and seasonal variations of picoplankton (i.e. Synechococcus spp., Prochlorococcus spp., picoeukaryotes and heterotrophic bacteria) and viruses in the Changjiang estuary have been reported in the past. However, short-term variations (e.g. at a tidal timescale) of these organisms and their regulating factors remain unclear. We determined the time-series of fluctuations of picoplankton and viruses with tide simultaneously in flow cytometry in the Changjiang estuary during a cruise in June 2006, in which a tidal model based rectangle equation was applied. The results indicate that high cell abundances of picoplankton and viruses occurred during flood tide and low cell abundances during ebb tide. The period of the surface cell abundance variations was about 13 h, suggesting the surface cell abundances in the Changjiang estuary were largely regulated by tide. However, cell abundances in middle and bottom waters varied in different periods due to influences of tidal induced physical forces such as resuspension and stratification. Therefore, tidal action is an important factor for the diel variations of picoplankton and viruses in the Changjiang estuary.     

“4S”技术支持下的土地利用决策

4S"技术是全球定位系统(Global Positions System,缩写为GPS)、遥感(Romote Sensing 缩写为RS)、地理信息系统(Geographical Information System, 缩写为GIS)和专家系统(Expert System, 缩写为ES)的合称.     

遗传优化神经网络方法在桥梁震害预测中的应用

本文将遗传算法与神经网络相结合,从而建立了一种高效的、实用的桥梁震害预测方法。根据遗传算法具有局部寻优的特点,为避免BP神经网络陷入局部极小值,本文将二者结合起来形成GA-BP混合算法,以GA优化神经网络的初始权值和阈值,对网络进行训练。在大量收集梁式桥震害资料的基础上,将此算法引入桥梁的震害预测中,并与传统的单独BP神经网络相比较,结果表明该方法能够有效、准确地对桥梁结构进行震害预测。     

梨树始花期预报

基于丰县1984—2009年气温、日照和降水量资料,分析越冬期不同时段的气象因子对梨树始花期的影响。结果表明:①后期因子影响大,前期相对较小;②温度、日照因子影响大,降水因子影响较小。越冬期温度水平高,光照充足,梨树始花期就偏早,反之始花期就偏晚;在上年12月至当年1月,除12月下旬外,最高气温偏高,影响梨树休眠期的需冷量积累,开花就越晚,最高气温偏低,需冷量的积累充足,有利于解除梨树休眠,开花就越早。采用逐步回归方法,利用SPSS软件,建立了梨树始花期预报模型,模型拟合效果较好,预报准确率满足业务要求,及时为政府和果农提供准确的始花期预报。