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331.
风廓线雷达垂直径向速度应用初探 总被引:2,自引:1,他引:1
利用北京风廓线雷达五波束探测中的垂直波束资料,进行了垂直速度在预报中的应用研究。通过对垂直速度的分级显示,配合地面气象记录,对不同的天气个例进行分析,结果表明:平稳晴空的天气风廓线雷达所测量的垂直速度很小,基本上在±1m·s~(-1)范围内;而有降水时,风廓线雷达所测得边界层的垂直速度基本上都是朝向地面的,不同相态降水粒子的垂直下落速度有明显的差别。分析表明风廓线雷达垂直速度的探测对研究晴空大气的垂直运动、判断降水粒子相态和降水预报有应用价值。 相似文献
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孢粉学分析是古生态与古气候定量重建的重要指标之一,建立现代表土孢粉与植被之间的定量关系是利用地层孢粉准确解释古生态与古气候变化的前提条件。基于华南亚热带中部山地垂直植被带采集的113个现代表土和苔藓孢粉样品,采用典型对应分析方法(Canonical Correspondence Analysis, CCA),探讨研究区不同海拔表土孢粉种类散布规律与气候因子之间的关系。主要得出以下结论:1)华南亚热带中部地区现代表土孢粉组合中乔木类以壳斗科栲属、常绿栎属、松属、杉木属和大戟科等种类占绝对优势,草本植物花粉以禾本科、蒿属、菊科和莎草科为主,蕨类孢子以三缝孢子、芒萁属、水龙骨科和单缝孢子为主。2)研究区低海拔至高海拔的孢粉组合呈现以下变化规律:低海拔地区(0~702 m)孢粉组合以栲属、常绿栎属、松属、野桐属、枫香属、茜草科以及禾本科花粉为主;中海拔(703~1 299 m)山坡的优势孢粉为栲属、杉木属、松属和常绿栎属;高海拔地区(1 300~1 600 m)以栲属、常绿栎属、水青冈属、杜鹃花科以及松属花粉最为丰富,表土孢粉组合变化过程与现代植被群落优势种类有较好的一致性。3)CCA分析结果显示,控制研究区域主要表土孢粉分布的气候因子为年均降雨量(MAP)、最热月降水(Mpwa)和最热月温度(Mtwa);松属、杉木属、栲属、常绿栎属、山茶科、水青冈属和落叶栎属等高百分比含量的花粉所对应的气候特征较为明显。4)低海拔地区的优势种属栲属、常绿栎属等以及相对高海拔的松属、杉木属和水青冈属等能较好地反映气候因子对植被空间分布的影响。因此,文章揭示了华南亚热带中部地区表土孢粉在垂直植被带上具有明显差异,孢粉散布规律可能与研究区植被组成、生境、花粉形态与传播媒介等因素有关,能为利用化石孢粉数据进行古生态与古气候定量重建提供参考资料。 相似文献
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336.
针对通海台垂直摆NS和EW测项自2019-04出现同步趋势转折变化,计算2017~2020年NS和EW测项M2波潮汐因子。结合监测井等地下介质结构资料,构建通海台沿垂向分层的三维有限元物理模型,定量分析不同岩石参数模型下建筑载荷对通海台NS向及EW向位移影响的差异特征。结果表明:1)2019-04后NS测项N倾变化量达到约2 750 ms,而EW测项E倾变化量达到约580 ms,NS测项趋势变化量显著大于EW测项;2)2017~2020年NS和EW测项M2波潮汐因子较为稳定,NS测项M2波潮汐因子在0.7左右波动,EW测项M2波潮汐因子在0.52左右波动,数据的转折变化未能在潮汐频段引起同步变化;3)位于通海台东北部的医院建筑物载荷在通海台附近产生N向和E向位移加载,与垂直摆NS和EW测项在2019-04后出现的N倾和E倾趋势转折变化较为一致,模拟得到的N向位移量约为E向位移量的3倍。 相似文献
337.
Effects of the Soil Heat Flux Estimates on Surface Energy BalanceClosure over a Semi-Arid Grassland
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Soil heat flux is important for surface energy balance (SEB), and inaccurate estimation of soil heat flux
often leads to surface energy imbalance. In this paper, by using observations of surface radiation fluxes
and soil temperature gradients at a semi-arid grassland in Xilingguole, Inner Mongolia, China from June
to September 2008, the characters of the SEB for the semi-arid grassland were analyzed. Firstly, monthly
averaged diurnal variations of SEB components were revealed. A 30-min forward phase displacement of soil
heat flux (G) observed by a fluxplate at the depth of 5-cm below the soil surface was conducted and its effect
on the SEB was studied. Secondly, the surface soil heat flux (Gs) was computed by using harmonic analysis
and the effect of the soil heat storage between the surface and the fluxplate on the SEB was examined.
The results show that with the 30-min forward phase displacement of observed G, the slope of the ordinary
linear regression (OLR) of turbulent fluxes (H+LE) against available energy (Rn–G) increased from 0.835
to 0.842, i.e., the closure ratio of SEB increased by 0.7%, yet energy imclosure of 15.8% still existed in the
SEB. When Gs, instead of G was used in the SEB equation, the slope of corresponding OLR of (H+LE)
against (Rn–Gs) reached 0.979, thereby the imclosure ratio of SEB was reduced to only 2.1%. 相似文献
338.
J. Bouchez F. Métivier M. Lupker L. Maurice M. Perez J. Gaillardet C. France‐Lanord 《水文研究》2011,25(5):778-794
Large rivers have been previously shown to be vertically heterogeneous in terms of suspended particulate matter (SPM) concentration, as a result of sorting of suspended solids. Therefore, the spatial distribution of suspended sediments within the river section has to be known to assess the riverine sedimentary flux. Numerous studies have focused on the vertical distribution of SPM in a river channel from a theoretical or experimental perspective, but only a few were conducted so far on very large rivers. Moreover, a technique for the prediction of depth‐integrated suspended sediment fluxes in very large rivers based on sediment transport dynamics has not yet been proposed. We sampled river water along depth following several vertical profiles, at four locations on the Amazon River and its main tributaries and at two distinct water stages. Depending on the vertical profile, a one‐ to fivefold increase in SPM concentration is observed from river channel surface to bottom, which has a significant impact on the ‘depth‐averaged’ SPM concentration. For each cross section, a so‐called Rouse profile quantitatively accounts for the trend of SPM concentration increase with depth, and a representative Rouse number can be measured for each cross section. However, the prediction of this Rouse number would require the knowledge of the settling velocity of particles, which is dependent on the state of aggregation affecting particles within the river. We demonstrate that in the Amazon River, particle aggregation significantly influences the Rouse number and renders its determination impossible from grain‐size distribution data obtained in the lab. However, in each cross section, the Rouse profile obtained from the fit of the data can serve as a basis to model, at first order, the SPM concentration at any position in the river cross section. This approach, combined with acoustic Doppler current profiler (ADCP) water velocity transects, allows us to accurately estimate the depth‐integrated instantaneous sediment flux. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
339.