The X-ray spectrum of modified α-viscosity accretion disc

The X-ray spectrum of an accretion disc around a black hole is obtained under the modified -viscosity law. Both electron scattering opacity and free-free absorption opacity are taken into account in our calculation. We also find that the requirement of a geometrically-thin disc forces a limit on the accretion rateM<0.25M _cr (i.e.,L<0.25L _edd). Several previous disc calculations violate this limit and their results are questionable.     

福建晚更新世海侵问题探讨

福建沿海在晚更新世大约距今90—80ka、70—60ka、44—39ka和34—20ka期间分别发生过4次海侵。最末一次海侵(距今34—20Ka)期间有过明显的海面下降波动,时间大约在距今28ka前后。     

棉兰老涡旋的数值模拟

用一个水平分辨率比较高的非线性正压模式,对热带西太平洋海域里的海流进行了数值模拟。计算海流与观测结果颇相一致。结果表明:赤道以北、棉兰老岛以东附近海域中,棉兰老冷涡在一年的大部分时间里都得到发展,但是其范围、强度和中心位置在各个月份并不相同,显示出很强的季节变化;在哈马黑拉岛东北海域,6月份突然出现了一个反气旋式的涡旋;这个涡旋8月份发展得最强,一直持续到10月份,在11月份就消亡了。     

1998年夏季南海水团分析

根据 1 998年夏季“南海季风试验 ( SCSMEX)”期间所获的 CTD资料 ,使用系统聚类、Fuzzy模式聚类、Bayes判别分析和 Fuzzy分析等水团分析方法 ,对南海水体的结构和水团配置状况等进行了分析 ,划出了南海存在的 9个主要水团 ,并对各水团的温、盐度特征进行了初析。在调查期间 ,南海本地水 (南海水 )几乎控制了整个调查海区 ,而黑潮水仅出现在台湾岛的西南海域 ;海水强烈混合发生在吕宋海峡附近 ;在中南半岛以东和吕宋岛以西海域 ,表层水明显下沉 ;在南海东南部可能有来自苏禄海的海水 ,其温、盐度特征类似于吕宋海峡中的黑潮水     

西沙群岛海产蓝藻的研究 Ⅴ

本文继续报道我国西沙群岛海产色球藻目 Chroococcales 的十种蓝藻,隶于三科六属，有八种是我国海产蓝藻的新记录,它们是:铜锈微囊藻 Microcystis aeruginosa Kuetzing,小形色球藻 Chroococcus minor ( Kuetzing) Naegeli,湖沼色球藻盐泽变种 C. limneticus Lemm.var. subsalsus Lemm,易变色球藻 C.varius A.Braun,膜状色球藻C. membraninus ( Meneghini) Naegeli,圆胞束球藻 Gomphasphaeria aponina Kuetzing,附钙管鞘藻 Hormathonema epilithicum Ercegovic 和透明拟丝藻 Johannesbaptistia pellucida ( Dickie) Taylor at Drouet。其中透明拟丝藻形态特征独特,这对于蓝藻类的研究,特别是研究从色球藻目进化到丝状蓝藻类的系统演化具有重要价值,早已为藻类学家们所重视。该种也是我国海产蓝藻属的新记录。 迄今为止,藻类学家们一致认为色球藻目是蓝藻门 Cyanophyta 中最原始、最低级的类群,其植物体最简单,大都是单细胞或简单的群体,而且都十分微小,常被肥厚的胶质鞘所包埋,这就使该目蓝藻能适应复杂的自然环境。所以,在地质学和古生物学的研究中它已引起许多学者的注意。有关该目海产种类的分类研究,我国仅有少数报道,这方面的工作还有待深入。     

Optimal reduction of anthropogenic emissions for air pollution control and the retrieval of emission source from observed pollutants Ⅰ. Application of incomplete adjoint operator

The ultimate solution to anthropogenic air pollution depends on an adjustment and upgrade of industrial and energy structures. Before this process can be completed, reducing the anthropogenic pollutant emissions is an effective measure. This is a problem belonging to “Natural Cybernetics”, i.e., the problem of air pollution control should be solved together with the weather prediction; however, this is very complicated. Considering that heavy air pollution usually occurs in stable weather conditions and that the feedbacks between air pollutants and meteorological changes are insufficient, we propose a simplified natural cybernetics method. Here, an off-line air pollution evolution equation is first solved with data from a given anthropogenic emission inventory under the predicted weather conditions, and then, a related “incomplete adjoint problem” is solved to obtain the optimal reduction of anthropogenic emissions. Usually, such solution is sufficient for satisfying the air quality and economical/ social requirements. However, a better solution can be obtained by iteration after updating the emission inventory with the reduced anthropogenic emissions. Then, this paper discusses the retrieval of the pollutant emission source with a known spatio-temporal distribution of the pollutant concentrations, and a feasible mathematical method to achieve this is proposed. The retrieval of emission source would also help control air pollution.     

九江-瑞昌5.7级地震余震的S波分裂研究

利用在九江-瑞昌MS5.7地震震中附近架设的丁家山台(DJS)、狮子洞台(SZD)和武蛟台(WUJ)的地震波形资料,采用S波分裂系统分析方法,对余震进行了S波分裂分析。结果表明,震中距较小、台站附近断层分布复杂的丁家山台(DJS)的慢波时间延迟相对较大,快波偏振方向不太集中。台站附近断裂分布单一的武蛟台(WUJ)快波偏振优势方向与断裂走向角度相差约35°,与区域主压应力方向也不一致。台站附近无断层通过的狮子洞台(SZD)快波偏振优势方向接近区域主压应力方向。慢波时间延迟大小与震源深度没有明显的规律性关系。     

Uncertainty assessment and optimization of hydrological model with the Shuffled Complex Evolution Metropolis algorithm: an application to artificial neural network rainfall-runoff model

Assessment of parameter and predictive uncertainty of hydrologic models is an essential part in the field of hydrology. However, during the past decades, research related to hydrologic model uncertainty is mostly done with conceptual models. As is accepted that uncertainty in model predictions arises from measurement errors associated with the system input and output, from model structural errors and from problems with parameter estimation. Unfortunately, non-conceptual models, such as black-box models, also suffer from these problems. In this paper, we take the artificial neural network (ANN) rainfall-runoff model as an example, and the Shuffled Complex Evolution Metropolis algorithm (SCEM-UA) is employed to analysis the parameter and predictive uncertainty of this model. Furthermore, based on the results of uncertainty assessment, we finally arrive at a simpler incomplete-connection artificial neural network (ICANN) model as well as with better performance compared to original ANN rainfall-runoff model. These results not only indicate that SCEM-UA can be a useful tool for uncertainty analysis of ANN model, but also prove that uncertainty does exist in ANN rainfall-runoff model. Additionally, in some way, it presents that the ICANN model is with smaller uncertainty than the original ANN model.     

不同频带数字化测震对比

通过对蒙城地震台不同频带数字化测震仪器记录的波形及震级进行对比分析,得出不同频带仪器记录不同地震事件的特点及其优越性,有利于提高数字化资料分析的精度.在进一步保证蒙城地震台观测资料的完整性和提高全频带数字化测震观测质量的同时,为蒙城地球物理野外观测研究站的科学研究提供有力数据支持.     

S波分裂在皖北地震中的研究应用

利用S波分裂方法的基本理论及计算方法,重点研究了皖北地区具有代表性的利辛张村附近周边地区25 km内,自1999年蒙城地震台数字化测震仪器正式记录以来至2010年9月,ML2.0及以上地方震的单台地震波形,利用有关S波分裂方法进行处理,得到该地区不同时段的S波的偏振方向及延迟时间,为皖北地区地震活动性研究及应力活动状态...