Atmospheric hydrological budget with its effects over Tibetan Plateau     

BAI Jingyu  XU Xiangde 《地理学报》2004,14(1):81-86

Based on 1961-2000 NCEP/NCAR monthly mean reanalysis datasets, vapor transfer and hydrological budget over the Tibetan Plateau are investigated. The Plateau is a vapor sink all the year round. In summer, vapor is convergent in lower levels (from surface to 500 hPa) and divergent in upper levels (from 400 to 300 hPa), with 450 hPa referred to as level of non-divergence. Two levels have different hydrologic budget signatures: the budget is negative at the upper levels from February to November, i.e., vapor transfers from the upper levels over the plateau; as to the lower, the negative (positive) budget occurs during the winter (summer) half year. Evidence also indicates that Tibetan Plateau is a "vapor transition belt", vapor from the south and the west is transferred from lower to upper levels there in summer, which will affect surrounding regions, including eastern China, especially, the middle and lower reaches of the Yangtze. Vapor transfer exerts significant influence on precipitation in summertime months. Vapor transferred from the upper layers helps humidify eastern China, with coefficient -0.3 of the upper budget to the precipitation over the middle and lower reaches of the Yangtze (MLRY); also, vapor transferred from east side (27.5o-32.5oN) of the upper level has remarkable relationship with precipitation, the coefficient being 0.41. The convergence of the lower level vapor has great effects on the local precipitation over the plateau, with coefficient reaching 0.44, and the vapor passage affects the advance and retreat of the rainbelt. In general, atmospheric hydrologic budget and vapor transfer over the plateau have noticeable effects on precipitation of the target region as well as the ambient areas.  相似文献   

孟津县小麦冻害与气象要素调查分析     

白凌霞李倩倩  潘建设李雪桃 《河南气象》2005,(4):38-38

孟津县2004～2005年冬季持续低温和春季寒流,使小麦遭受冬、春季双重冻害.通过调查小麦冻害苗情,结合气象要素资料分析,找出了小麦冻害的主要影响因素,并制定出消除或减缓冻害的技术措施.  相似文献   

Sedimentation rates in the Wanggang salt marshes, Jiangsu   总被引：1，自引：0，他引：1  

WANGAijun GAOShu JIAJianjun PANShaoming 《地理学报(英文版)》2005,15(2):199-209

1 IntroductionLand-ocean interaction in coastalzone is one of the key m atters of the International G eosphereand Biosphere Program (IG BP). The key problem s of the second phase in the next decadeinclude the m aterial cycle, the system evolution process …  相似文献   

PRESSURE GRADIENT FROM THE CONTRIBUTION OF BOTH GEOTHERMAL AND GRAVITY IN THE LITHOSPHERE     

HU Baoqun LU Guxian WANG Fangzhang SUN Zhanxue LIU Chengdong BAI Lihong 《大地构造与成矿学(英文版)》2005,29(2):128-138

1 Introduction The pressure, a scalar quantity, is defined as P = F/S (F is force, S is the area for F) which can be widely used for both solid and fluid. The formula P = g ρh (g-gravitation acceleration,ρ-density, h-depth) is only used for even density static solid and fluid. The delivery of pressure in the fluid follows the law of Pascal, and the average pressure of uneven density fluid can be calculated with the formula of P = g ρh. The temperature influence on pressure is notHU Ba…  相似文献   

太原盆地地下水资源模拟研究   总被引：1，自引：0，他引：1  

智天翼  陈家军  白利平 《云南地理环境研究》2005,17(5):6-9,24

山西省太原盆地由于地下水长期超采,引发了地下水降落漏斗、地面沉降等环境地质问题。通过GMS建立地下水水流三维数值模型,基于模型预测了现状开采条件下地下水水位的变化趋势,并提出合理利用地下水资源的措施,为地下水资源的优化管理提供科学依据。  相似文献   

江苏王港盐沼的现代沉积速率   总被引：35，自引：0，他引：35  

王爱军  高抒  贾建军  潘少明 《地理学报》2005,15(1):61-70

江苏海岸湿地总面积超过5000km^2，但围垦活动的加剧使盐沼湿地面积迅速减少；为了达到海岸防护、保滩促淤的目的，先后引种了大米草和互花米草。通过采集江苏王港潮滩盐沼湿地9处柱状样和挖取探槽剖面，以及对沉积剖面样品进行^210Pb和^137Cs测年分析，探讨了^210Pb的本底及影响^210Pb富集的因素，估算了王港盐沼湿地的现代沉积速率。王港潮滩盐沼沉积物对^210Pb的吸附作用较弱；受风暴潮、生物扰动、物源变化及实验误差等因素的影响，在^210Pbex剖面上出现了数据异常点，将这些数据点剔除后计算得到的沉积速率为33cm yr^-1，^137Cs测年显示，该地区1963年以来的平均沉积速率3．1cm yr^-1，与^210Pb法及前人研究结果相一致。根据一个典型剖面的^137Cs测年数据分析，王港潮滩盐沼的沉积过程根据地貌特征的不同可分3个阶段，大米草覆盖阶段滩面高程迅速增加，互花米草的生长提高了滩面淤积速率。  相似文献   

内蒙古达赉湖国家级自然保护区的湿地监测与保护管理   总被引：1，自引：0，他引：1  

白福春  金业雄  乌力吉 《湿地科学与管理》2005,1(1):44-46

<正>达赉湖国家级自然保护区地处呼伦贝尔草原 腹地。呼伦贝尔草原所以肥美,是因为有众多河 流湖泊滋润,形成了广阔的湿地、沙地、草原等 多种景观。为各种生物和人类生活奠定了物质基 础,使得呼伦贝尔成为资源丰富,多个民族,特 别是北方众多游牧民族的主要发祥地。突厥、鲜 卑、蒙古等众多民族生息繁衍于此,并逐步繁荣  相似文献   

大菱鲆体重和主要体型比率性状的遗传动态分析     

王新安  马爱军 《海洋学报(英文版)》2020,39(2):22-27

The objective of this study was to estimate genetic parameters of body width(BW)to body length(BL)ratio(BW/BL)and of body weight traits(BWT)in turbot,and to elucidate the genetic mechanism of the two traits during ontogeny by dynamic genetic analysis.From 3 to 27 months,BW,BL and BWT of each communally stocked fish were measured every 3 months.The BW/BL ratio was measured at different sampling ages.A twotrait animal model was used for genetic evaluation of traits.The results showed that the heritability values of BW/BL ratio ranged from 0.2168 to 0.3148,corresponding to moderate heritability.The BWT heritability values ranged from 0.2702 to 0.3479 corresponding to moderate heritability.The heritability of BW/BL ratio was lower than that of BWT,except at 3 months of age.Genetic correlation between BW/BL ratio and BWT decreased throughout the measurement period.Genetic correlations were higher than the phenotypic correlations.The current results for estimating genetic parameters demonstrate that the BW/BL ratio could be used as a phenotypic marker of fast-growing turbot,and the BW/BL ratio and BWT could be improved simultaneously through selective breeding.  相似文献   

Identification of Reference Genes for Normalizing Quantitative Real-Time PCR in Urechis unicinctus     

BAI Yajiao  ZHOU Di  WEI Maokai  XIE Yueyang  GAO Beibei  QIN Zhenkui  ZHANG Zhifeng 《中国海洋大学学报(英文版)》2018,(3)

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复杂卫星图像中的小目标船舶识别   总被引：1，自引：1，他引：0  

姚红革  王诚  喻钧  白小军  李蔚 《遥感学报》2020,24(2):116-125

船舶作为海上的重要目标,实现对船舶自动识别有重要的意义。针对卫星图像中云雾、海岸背景等复杂海情对船舶识别带来的干扰,以及小目标船舶高漏检率问题,本文提出一种多尺度深度学习模型训练策略,在此基础上构建了一种船舶识别的深度学习网络,该网络可分为多尺度训练、特征提取、生成目标建议区域、船舶分类这4个部分。首先,采用多尺度的训练策略,将多尺度的船舶样本送入网络中进行训练,这样在训练样本中加入了大量小目标船舶的样本,使网络充分提取到小目标船舶的特征;其次,通过卷积神经网络对目标船舶进行特征自适应提取;然后,目标区域建议网络可依据卷积神经网络提取到的特征,在图像中找到感兴趣目标区域,即框定船舶的位置;最后,通过多个全连接层的组合,将高维特征映射到一个4元组中,再运用分类函数输出每一类船舶的概率值,概率值最大的则为该船舶的类别。同时为解决云雾遮挡和海岸背景的干扰,采用了一种负样本增强学习的方法,在样本数据集中加入了大量只含有云雾和海岸背景的图片,进行负样本扩充,增强网络模型对云雾及海岸背景的特征学习能力,以此解决复杂海情的影响。实验结果表明,所提方法有效解决了复杂海情条件下的船舶识别难,以及小目标船舶识别难的问题,实现了复杂海情条件下的船舶识别。同时,与现有成熟的深度学习目标识别算法相比,本文算法的精确度和召回率分别提升了6.98%和18.17%,所训练的模型具有良好的泛化能力和鲁棒性。  相似文献