On the use of iterative re-weighting least-squares and outlier detection for empirically modelling rates of vertical displacement

The proper identification and removal of outliers in the combination of rates of vertical displacements derived from GPS, tide gauges/satellite altimetry, and GRACE observations is presented. Outlier detection is a necessary pre-screening procedure in order to ensure reliable estimates of stochastic properties of the observations in the combined least-squares adjustment (via rescaling of covariance matrices) and to ensure that the final vertical motion model is not corrupted and/or distorted by erroneous data. Results from this study indicate that typical data snooping methods are inadequate in dealing with these heterogeneous data sets and their stochastic properties. Using simulated vertical displacement rates, it is demonstrated that a large variety of outliers (random scattered and adjacent, as well as jointly influential) can be dealt with if an iterative re-weighting least-squares adjustment is combined with a robust median estimator. Moreover, robust estimators are efficient in areas weakly constrained by the data, where even high quality observations may appear to be erroneous if their estimates are largely influenced by outliers. Four combined models for the vertical motion in the region of the Great Lakes are presented. The computed vertical displacements vary between  − 2 mm/year (subsidence) along the southern shores and 3 mm/year (uplift) along the northern shores. The derived models provide reliable empirical constraints and error bounds for postglacial rebound models in the region.     

Application of probabilistic neural network to design breakwater armor blocks

This study presents a probabilistic neural network (PNN) technique for predicting the stability number of armor blocks of breakwaters. The PNN is prepared using the experimental data of Van der Meer. The predicted stability numbers of the PNN are compared with those of previous studies, i.e. by an empirical formula and a previous neural network model. The agreement index between the measured and predicted stability numbers by PNN are better than those by the previous studies. The PNN offers a way to interpret the network's structure in the form of a probability density function and it is easy to implement. Therefore, it can be an effective tool for designers of rubble mound breakwaters.     

南海北部海区软骨鱼类种类组成和资源密度分布

根据2006～2007年南海北部海区4季的调查资料,分析该海区软骨鱼类的种类组成和资源密度的分布．结果表明,软骨鱼类有32种,分隶于9目17科,优势种为斑鳐、曾氏兔银鲛、褐黄扁缸、橙黄鲨;渔获率D断面最高（10．19kg／h）,B断面最低（4．52kg／h）;渔获率有明显的季节变动,夏季最高（12．16kg／h）,秋季最低（3．71kg／h）,平均渔获率为7．05kg／h;密集分布于180m和140m水深处;其年均资源密度为94．00kg／km^2．文中并讨论合理利用和保护该类群的措施．     

1932年以来北京主城区土地利用空间扩张特征与机制分析

基于历史地图、地形图和遥感影像提取1932年以来,北京主城区城市空间扩张,以及建筑密度空间信息。从城市土地利用扩张特征、建筑密度变化特征以及驱动机制三个方面分析北京城市土地利用扩张过程。研究表明:1984年前,北京城市呈现缓慢增长趋势。1984-1992年在市场经济驱动下,北京进入了第一次大规模快速的扩张阶段。1992-2000年间,由于我国出台了最为严格的耕地保护政策,这一时段城市空间扩张有所放缓。2000-2007年受北京城市建设规划、2008年奥运会场馆建设的影响,北京城市进入了有史以来,最快的扩张阶段。北京城市呈现单中心低密度蔓延,1982年前,城市扩张形态以相对较高的建筑密度紧凑扩张模式为主,1982年以来,呈现严重的低密度蔓延态势,特别是2000-2007年城市在5-6环之间"摊大饼"式与"遍地开花"式低密度蔓延问题更为突出。北京城市空间扩张是重大事件与人口、社会经济等因素共同驱动的结果。而且重大事件驱动对于长时间序列城市空间扩张作用更为突出。     

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????????????????????????β??????????????1985??2006??β?????仯??????????1???????????????????????????????????????????????????????????????????????????2????????????????????????????????1?λ??????????￡??????????ε?????????????????????1?γ????????仯?????3?? ????????????????仯?????????????????仯????????????????????????????     

耿达短水准异常与汶川8.0级地震

结合龙门山断裂带其他跨断层资料,对耿达短水准在汶川8.0级地震前后的观测资料进行了重新分析,发现耿达短水准在汶川地震前后的异常为当地居民修建生活小区所致,不应视为地震前兆异常。     

Crystal Structure and Geometry-Optimization Study of N-(2-hydroxy-1-naphthaldene)-4-aminoantipyrme

N-(2-hydroxy-1-naphthaldene)-4-aminoantipyrine has been synthesized. The structure is determined by X-ray diffraction method and elemental analysis. The crystal system belongs to orthorhombic space group P(2)2(1)2(1). The geometry has been ob-tained from the density functional theory (DFT) method and the B3LYP method employing the 6-31G* basis sets. The calculated results propose that the latter is close to the experimental data. The structural parameters from the theory are close to those of the crystal and the calculated total energy of coordination is -31677.172 eV. The energy of HOMO and LUMO and the energy gap are 5.179 eV, -1.603 eV and 3.577 eV, respectively.     

能效渔业状态下津市西湖生态因子与浮游植物密度的灰关联模型{GM(I,N)}

利用灰色系统理论,于2004—2008年5—8月份对能效渔业状态下津市西湖水质状况进行了实时采样研究,并计算了浮游植物密度与透明度、水温、水深、溶解氧、pH、NH4-N、NO3-N、NO2-N、PO4-P、TP、TN、NH4-N/PO4-P、TN/TP和浮游动物共14个生态因子的关联度、关联序。结果表明,透明度、水温、水深、溶解氧、pH和浮游动物(毛里湖)或TN(西湖)是影响浮游植物增殖态势的最重要的环境变量。提取如上变量和浮游植物密度作为建模要素,构建了津市西湖生态因子与浮游植物密度的灰关联模型{GM(I,N)},经作图分析表明,模型值和实测值具有较好的对应峰,表明模型的有效性及在预测上有较高的参考价值。P元素在西湖的营养限制性基本得到消除,水体N/P比被调控到了较好状态。     

Meiobenthos in estuary part of ha long bay (gulf of tonkin, south china sea, vietnam)

The distribution of the taxonomical composition and the density of meiobenthos depending on some factors of environment has been studied in bottom sediments of the northern estuary part of Ha Long Bay (Cua Luc estuary). The basic factor of influence on meiobenthic community structure was the granulometric composition of sediment. The greatest taxonomic diversity is noted in the silted sands, lowest — in the silty sediments. The density of meiobenthic community was higher in the silty sediments. Slightly expressed correlation between the density of nematodes and the percentage of silty particles in the sediments is detected (Spearman rank correlation coefficient was 0.49±0.21, p=0.035). The nematodes were dominant at all stations. In total, representatives of 66 species of nematodes belonging to 17 families and 52 genera were identified.