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121.
Analyses of aerosol optical properties and direct radiative forcing over urban and industrial regions in Northeast China 总被引：1，自引：0，他引：1
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重建高质量的全新世相对海平面变化曲线,可为海岸带人类社会科学预测及应对未来海平面上升风险提供重要的地质历史依据和长时间尺度的数据参考。目前已发表了多条福建海岸带全新世相对海平面变化曲线,然而已有曲线反映的相对海平面变化历史存在较大差异,甚至是矛盾结果。同时,相对海平面长期变化机制及影响因素也不明确。本研究收集、整理了福建沿海已发表的全新世相对海平面数据,对已有数据的年代、高程、指示意义等属性信息进行重新检查和校正,根据国际方法体系,建立了该区域一个标准化的全新世“相对海平面数据库”,共包括海平面数据183个。在此基础上,采用“变量误差–综合高斯（EIV-IGP）”统计学模型,提出了一条新的福建沿海全新世相对海平面变化曲线。并应用“冰川–水均衡调整”（GIA）理论,开展了相对海平面变化GIA模拟。最后,综合相对海平面变化地质记录及GIA模拟结果,得出以下结论:（1）福建沿海距今11.28～7.08 cal ka,相对海平面由（–23.55±6.94）m快速连续上升至（–1.51±1.80）m;距今7.08～4.08 cal ka,相对海平面由（–1.51±1.80）m缓慢上升至约（1.09±1.38）m;距今3.48 cal ka前后,相对海平面高于现代海平面约（1.35±1.23）m;此后,波动下降并逐渐接近现代位置;（2）“冰川–水均衡调整”作用是福建全新世相对海平面变化的主要长期作用机制;距今11.28～7.00 cal ka,相对海平面变化主要受冰盖融水控制;距今7.00 cal ka以来,“水均衡调整”作用逐渐占据主导;（3）福建沿海中–晚全新世（距今6.75～0.16 cal ka）期间,存在高于现今海面位置的“高海平面”现象;不同于传统构造运动主导观点,研究认为GIA引起的“陆地掀斜”和“海洋虹吸”作用,可能是该区域“高海平面”现象产生的主要原因;（4）福建沿海全新世相对海平面变化,存在一定程度的空间差异。不同岸段之间的沉积物压实、差异性构造运动和潮差变化等非GIA因素,可能是这一现象产生的重要原因。 相似文献
125.
鄱阳湖湖滨地区广泛分布着晚第四纪风沙沉积序列。在星子县沙岭沙山进行野外调查后选择蓼花剖面开展工作,测试了地质时代和粒度,对粒度结果使用端元分析模型进行研究,探讨该区域末次冰期中晚期的气候变化规律。结果显示：该剖面由湖相-古土壤-沙丘砂等沉积相叠覆堆积组成,形成于末次冰期中晚期（48.8—17.1 ka）。端元分析模型将粒度数据分解出3个不同的粒度端元,不同端元组分在垂向上呈峰谷交替的旋回变化,EM1代表粉砂端元组分,峰值对应湖相和古土壤发育时期;EM2和EM3代表中砂—粗砂端元组分,峰值对应沙丘砂发育期,这些峰谷交替变化的规律指示了末次冰期的季风演变以及气候波动变化,万年尺度上表现为LH10 (48.8—39.9 ka)和LH3～LH5 (28.1—17.1 ka)的冬季风强盛期,分别对应深海氧同位素的MIS3b和MIS2阶段。LH6～LH9 (39.9—28.1 ka)为温暖的夏季风时期,对应深海氧同位素的MIS3a阶段。这些变化与YZ洞石笋氧同位素以及格陵兰冰心有良好的对应,与全球气候变化基本一致。 相似文献
126.
针对GPS高程时间序列受各类噪声干扰的影响,导致难以提取有用信息的问题,提出一种基于整体经验模态分解(EEMD)结合多尺度排列熵(MPE)的阈值降噪方法。该方法以EEMD为核心算法,将原始信号分解成一系列本征模态函数(IMF),并采用MPE作为指标将其分类为噪声IMF、混合IMF和信息IMF;然后利用阈值函数处理混合IMF,实现二次降噪;再重构降噪后的数据与信息IMF,获得降噪结果。仿真信号和实例分析结果表明,该方法与相关系数法、MPE法相比,降噪评价指标RMSE、SNR和dnSNR均为最优,说明该降噪方法效果最好,本文方法获得的降噪结果能够更好地反映出时间序列本身的非线性变化特性,可为GPS高程时间序列分析提供可靠依据。 相似文献
127.
New dynamics parameterizations in Version 5 of the Los Alamos Sea Ice Model, CICE, feature an anisotropic rheology and variable drag coefficients. This study investigates their effect on Arctic sea ice volume and age simulations, along with the effects of several pre-existing model options: a parameter that represents the mean cumulative area of ice participating in ridging, the resolution of the ice thickness distribution, and the resolution of the vertical temperature and salinity profiles.By increasing shear stress between floes, the anisotropic rheology slows the ice motion, producing a thicker, older ice pack. The inclusion of variable drag coefficients, which depend on modeled roughness elements such as deformed ice and melt pond edges, leads to thinner ice and a more realistic simulation of sea ice age. Several feedback processes act to enhance differences among the runs. Notably, if less open water is produced mechanically through ice deformational processes, the simulated ice thins relative to runs with more mechanically produced open water. Thermodynamic processes can have opposing effects on ice age and volume; for instance, growth of new ice increases the volume while decreasing the age of the pack. Therefore, age data provides additional information useful for differentiating among process parameterization effects and sensitivities to other model parameters.Resolution of thicker ice types is crucial for proper modeling of sea ice volume, because the volume of ice in the thicker ice categories determines the total ice volume. Model thickness categories tend to focus resolution for thinner ice; this paper demonstrates that 5 ice thickness categories are not enough to accurately resolve the ice thickness distribution for simulations of ice volume. 相似文献
128.
Factors of shale gas accumulation can be divided into the external and internal factors, according to accumulation mechanism and characteristics of shale gas. The internal factors mainly refer to parameters of organic geochemistry, mineral components and physical parameters. Six factors were presented in this study, i. e. organic matter, maturity, quartz, carbonate, clay mineral and pore. The external factors mainly refer to geologic environment of shale gas reservoir, including four factors： temperature, pressure, depth and thickness. Based on the experiment results of 26 samples of drilling cores from Wuling fold belt in Lower Paleozoic Silurian of the Upper Yangtze Basin, combined with the integrated analysis of geology, logging and test, the correlation of the gas content of shale gas to the above-mentioned ten factors was concluded. Six important evaluation indicators were preliminarily established in the gas-bearing core area of marine shale in the Upper Yangtze Basin. 相似文献
129.
考虑海底沉积介质为双相介质,为了更好地模拟实际海底底质的不均匀性,将随机介质理论引入双相介质理论。首先,通过基于随机-双相介质理论的高阶有限差分数值技术模拟计算海底底质分别为泥质砂、泥、泥质砾时的地震反射波信号。然后利用小波变换分别求取不同底质的一次反射波的包络作为其特征向量,最后利用基于粒子群智能算法优化的支持向量机神经网络对这些反射波信号进行分类识别。为了进一步考察所用方法的抗噪能力,对正演得到的海底底质反射波信号分别加入10%、30%、50%的高斯白噪音之后再进行分类,支持向量机仍然取得了较好的分类预测效果。基于上述正演模拟及分类识别方法的论证,提出了一套行之有效的微机软件模拟海底沉积物分类识别的一般化流程,这将有利于开展海底沉积物反射特征的进一步研究。 相似文献
130.
Recently derived (Webster et al., 2011), simplified higher-level Green–Naghdi equations (GN-3, GN-5 and GN-7) are used in this work to simulate the transformation of two-dimensional, shallow-water wave problems. The spatial derivatives are discretized through a five-point difference scheme. A new algorithm is developed to solve the resulting block-pentadiagonal matrix. These high-level GN equations are then utilized to develop a numerical wave tank. A wave-maker is placed at the forcing boundary of the tank that uses the stream-function theory to generate nonlinear incident waves. The numerical wave tank is used to analyze the effects of large-amplitude waves passing over a submerged bar. A damping zone is placed near the wave-maker (up-wave side) to absorb the reflected waves from the front side of the submerged bar. Another damping zone is placed at the down-wave side of the computational domain to absorb the radiated waves. In the first test case, the front and back slopes of the bar are both mild (Luth et al., 1994). The waves that evolved over the bar are simulated by using the GN-3, GN-5 and GN-7 equations. The GN-3 equations provide time histories that compare well with the experimental data at different wave gauges, except at the ones behind the bar. The results of the GN-5 and GN-7 equations compare very well with all the experimental data considered here. In the second test case, the front and back slopes of the bar are both steep (Ohyama et al., 1995). The GN-5 equations predict the wave elevation well. In the third test case, the front and back slopes of the bar alternate, one of them being mild and the other one being steep (Zou et al., 2010). Again, the predictions of the GN-5 equations agree with the experimental data well. In all the test cases considered in this work, there are some differences between the GN-3 and GN-5 results after the crest of the bar. Numerical results obtained by the GN-5 and GN-7 equations are almost the same along the wave flume, but the GN-7 equations require more computational time. Therefore, the GN-5 results are accepted here as the converged GN theory results. The numerical validations show that the GN-5 equations can simulate the strongly nonlinear and dispersive waves observed behind the submerged bar crest satisfactorily. 相似文献