城市化对上海的增温效应

上海城市热岛效应很强, 并对气温增暖产生影响。利用主成份分析法从上海及其从近到远的４ 个郊县的２９ 年月平均温度资料中,提炼出影响上海气温变暖的两个主要因子：城市化影响和区域气候变化, 并从而推算出２９ 年来城市化使上海年平均温度增加约０．２０℃, 若排除郊区城镇化因子的影响后, 该值将更高一些。     

海洋大数据序列时-空变化主成分分析方法

介绍海洋要素时－空变化大数据量主成分分析方法,讨论并澄清主成分分析在海洋大数据序列应用中的一些问题和易混淆的概念。根据美国国家海洋与大气局（NOAA）卫星观测的海表面温度红外资料,对加拿大温哥华岛西部大陆架区8个夏季海表面温度的空间变化进行主成分分析,以促进主成分方法在海洋大数据序列分析中的应用。     

两种显著性检验方法在海洋大数据序列主成分分析中的应用

介绍海洋大数据序列主成分分析的两种显著性检验方法,采用该两种方法可以辨别具有真实意义的主成分模与代表随机噪声信号的模态。此二法均能很好地应用于大数据序列主成分模的显著性检验。在进行海洋大数据序列时-空变化主成分分析中,为尽可能减少或避免数据中随机噪声的影响,建议对主成分模进行显著性检验。     

流速逆变张量隐式求解方法及其在航道港池流场计算中的应用

运用高分辨率的边界适应网格进行流体动力学数值计算时,如何提高计算稳定性和减少计算量成为数值求解的关键性问题.在非正交的边界适应坐标系中,每个动量方程中同时出现了两个交叉方向的水位偏导数项,给隐式求解带来困难,而显式格式下的时间步长由于受与空间步长有关的Courant-Friedrichs-Lewy条件限制,计算量成倍增加.本文从广义曲线坐标系下浅海动力学方程组出发,导出了流速的逆变张量所满足的动量方程组,使方程中的水位偏导数项变成了沿某一协变基向量方向占优的形式,方便地采用了交替方向隐式差分格式,从而提高了计算稳定性并减小了计算量.本文通过对澳门海域航道和港池中流场的计算,证实了该模式是一种进行高分辩率数值计算的有效方法.     

大山片麻岩地质特征及侵位机制研究

大山片麻岩的原财为奥长化岗石,呈不规则状侵入柳树河子片麻岩中,年龄２７亿年左右,太古代阜平运动晚期侵位的。侵位与当时区域上大规模的韧性剪切作用密切相关。由于剪切带各相关位置的位移量的差异,形成空间,给岩浆被动就位了有利场所,形成大山片麻岩古深成岩体。     

21世纪中国煤地质与勘探展望

中国煤炭资源量49000余亿t,实际探明储量6000余亿t,其中可供建并使用的精查储量390亿t。由于油气资源有限,加上近年煤炭在降低成本。减少污染方面取得进展,21世纪初可望成为廉价、洁净和可靠的能源,在能源构成中重居领先地位。煤炭在中国化石能源资源中约占95％,在能源构成中将长期占据主导地位。煤田地质工作直加速东部勘探,突出西部找水,提高勘探程度和煤矿地质研究精度,为煤炭开发、洁净煤技术提供可靠信息。     

独立分量分析在探地雷达信号处理中的应用初探

针对探地雷达(Ground Penetrating Radar,GPR)信号信噪比低、背景杂波强,事先对探测目标的信息所知甚少,近乎处于“盲”状态,因而实际处理难度大等实际问题,提出了将独立分量分析(In-dependent Component Analysis,ICA)这种盲信号处理技术应用于GPR信号处理,并利用ICA中的Fast-ICA算法,对ICA法在GPR信号处理中的应用进行了初步探索,实现了GPR信号中弱目标信号和强背景杂波的有效分离,并初步解决了对所分离目标信号的正确排序,以及由ICA方法本身带来的所分离目标独立分量信号符号的不确定性等问题,使GPR信号信噪比大幅提高,从而使GPR的目标检测性能也得以显著改善。在对诸如地雷、地下管线等局部目标的时域有限差分法(Finite-dif-ference Time-domain,FDTD)、仿真GPR数据和室外试验观测GPR数据进行ICA处理后,都取得了理想的结果。      

Integrated evaluation of urban groundwater hydrogeochemistry in context of fractal behaviour of groundwater level fluctuations

The present study was carried out as part of a complex survey of urban groundwater quality and quantity in Szeged, southeast Hungary. The concentrations of 12 inorganic contaminants in 28 shallow groundwater monitoring wells were determined over a 2-year period (2010–2012). The evaluation of concentrations indicates remarkable contamination all over the city. Discriminant analysis (DA) was used to evaluate the spatial changes of groundwater quality. The groundwater levels were measured over a 14-year period (2000–2013). The fractal properties of water level fluctuations time series characterizing the groundwater system and Tisza River were investigated using rescaled range (R/S) analysis. The resulting Hurst exponents clearly showed the persistency and thus long memory effects of both the groundwater and the river flow. Comparison of the results of DA with the results of R/S analysis thus implies that the geological conditions and the changing groundwater quantities are not related to groundwater quality.

EDITOR A. Castellarin

ASSOCIATE EDITOR A. Fiori     

Using principal component analysis in the investigation of groundwater hydrochemistry of Upper Jezireh Basin,Syria

Principal component analysis (PCA) was applied to hydrochemical and isotopic data of 34 groundwater samples. This allowed the reduction of 20 variables to four significant PCs that explain 81.9% of the total variance; F1 (47.1%) explains the groundwater mineralization, whereas F2 (17%) shows isotopic enrichment and nitrate pollution. Based on an iso-factor scores map of F1, three water zones were delineated: Zone A (F1 < ?1), with fresh groundwater from the unconfined aquifer; Zone B (1 > F1 > ?1), with moderate mineralization from the confined–unconfined aquifer boundary; and Zone C (F1 > 1), with the most mineralized hot water from the confined aquifer. The iso-factor scores map of F2 delineates positive values representing samples from the unconfined aquifer, with freshwater and nitrate contamination associated with stable isotope enrichment, whereas negative values represent samples from the confined aquifer. The results clearly demonstrate the usefulness of PCA in groundwater hydrochemistry investigations.     

Time series analysis for evaluating hydrological responses of pore-water pressure to rainfall in a slope

Characterization of pore-water pressure at the soil–atmosphere interface is a major requirement in relation to slope instability. A rain-gauge and five piezometers (BH1–BH5) were installed on a slope located in a Korean military base. The upper slope (BH4, BH5) was covered with plastic sheets to prevent rainwater from percolating into the slope due to safety issues. Rainfall is matched by prompt changes in the pore-water pressure except at BH5. Due to the plastic cover, the pore water does not show any significant change in the early period by evapotranspiration. From correlation analysis, two wells (BH3, BH5) have longer memory effects due to matrix flow of past precipitation. Two principal components show hydrological responses of pore water to rainfall during intense rainfall, but PC2 does not indicate any important changes in low or no rainfall. This study suggests that correlation analysis with PCA can be a valuable tool for interpreting datasets consisting only of pore-water pressure.