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41.
西北太平洋海区年际至十年际海面变化尺度耦合与波动转型 总被引:1,自引:0,他引:1
利用多通道奇异谱分析(MSSA)等多尺度分析方法,对西北太平洋海区14个站位验潮序列的年际到十年际尺度海面波动的时空特征进行探讨.结果表明:2.5a周期和4.5a周期在振幅与相位上表现出与ENSO指数波动的尺度耦合,并存在显著的由低纬向高纬的振幅、能量递减的纬向传递特征.4.5a周期和8a周期与PDO变化同样表现出一定的尺度耦合波动,高纬各站位海面波动也表现出一定的自东向西的径向传递.在空间维上,PDO作用下的传播型波动的响应范围明显小于ENSO事件,反映了二者驱动机制的差异.该海区约在1973年和1998年左右发生过两次明显的海面波动转型,并与太平洋年代际涛动(PDO)存在一定关联. 相似文献
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水资源是城市化与生态环境协调发展的重要限制因子,研究西北地区水资源环境与城市化系统耦合的时空分异规律,对于区域水资源、生态环境和社会经济系统可持续发展具有重要的现实意义。采用GRA方法,以西陇海兰新经济带甘肃段为例,从时空角度定量揭示了甘肃段水资源环境与城市化系统耦合的时空分异规律,结果表明:(1)时间序列上整体呈波动下降趋势,表现为类似组合"S"型特征;空间上随人口城市化水平的提高,耦合度亦表现出与时间序列类似特征;时空耦合度相互印证,说明系统符合"各态遍历假说;"(2)不同阶段甘肃段各城市耦合度表现出较大差异,具有复杂的空间结构:以兰州市为中心向外耦合度"先升高后减小",表明水资源环境与城市化系统耦合度的高低不仅取决于城市自身发展等内部因素,而且与城市之间的区域差异、区域联系等外部因素有关。基于以上认知,在解决区域水资源环境与城市化关系问题时,除有效提高城市水资源环境适应及调控能力之外,还要协调好区域之间的关系,构建区域利益共同体以达到"双赢"的目的,这为落后地区解决发展中的资源环境问题提供了新的思路。 相似文献
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来自油气藏的烃类物质的微渗漏扩散是普遍存在的。这里主要进行油气微渗漏扩散,在计算机上的物理实验再现过程和三维数值模拟。首先把实验提供的稀疏的数据,通过Kriging插值算法计算,得到三维重建中所需具有规则、分布均匀特点的数据,所得效果较好,并且算法编写简单、容易理解。其次,建立一种关于油气微渗漏扩散的三维数学模型,进行数值模拟,较好地仿真了演示油气微渗漏随时间扩散的过程。最后,简单地探讨了虚拟现实建模语言(VRML)在三维可视化中的运用。 相似文献
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以钛酸四丁酯为前驱体,天然凹凸棒石为载体,采用溶胶凝胶法制备了TiO_2/凹凸棒石复合光催化剂,并用XRD、TEM对其进行表征.以亚甲基蓝染料为模拟污染物,采用300 W汞灯为紫外光源,以光催化实验来评价该催化剂的活性,并研究了H_2O_2的引入对光催化活性的影响.实验结果表明,H_2O_2能显著提高染料的脱色效率:亚甲基蓝的初始浓度为50 mg/L,催化体系为2 mmol/L H_2O_2+0.5 g/L TiO_2/凹凸棒石+UV(紫外线),光催化10 min后其脱色率为95%,相对于单独的0.5 g/L TiO_2/凹凸棒石+UV催化体系,其脱色率提高了约50%.全波段扫描显示,加入H_2O_2后,亚甲基蓝在290 nm对应的苯环吸收蜂急剧下降,665 nm对应的最大吸收峰则近乎消失,且没有新的吸收峰产生. 相似文献
46.
DING Guoan CHAN Chuenyu GAO Zhiqiu YAO Wenqing LI Yoksheung CHENG Xinghong MENG Zhaoyang YU Haiqing WONG Kamhang WANG Shufeng MIAO Qiuju 《中国科学D辑(英文版)》2005,48(Z2)
The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower. 相似文献
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LIU Min HE HongLin YU GuiRui LUO YiQi SUN XiaoMin & WANG HuiMin Institute of Geographic Sciences Natural Resources Research Chinese Academy of Sciences Beijing China Gradute School of the Chinese Academy of Sciences Beijing School of Geography Science Nanjing Normal University Nanjing 《中国科学D辑(英文版)》2009,(2)
We present an uncertainty analysis of ecological process parameters and CO2 flux components (Reco, NEE and gross ecosystem exchange (GEE)) derived from 3 years’ continuous eddy covariance meas-urements of CO2 fluxes at subtropical evergreen coniferous plantation, Qianyanzhou of ChinaFlux. Daily-differencing approach was used to analyze the random error of CO2 fluxes measurements and bootstrapping method was used to quantify the uncertainties of three CO2 flux components. In addition, we evaluated different ... 相似文献
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