仙女山断裂北端地块微动态倾斜场变化

对周坪定点形变台的资料,利用小波多分辨率分析方法进行了不同频段（周期）的信号识别。结果显示：水管倾斜仪对蓄水效应有较好的响应,主要在数据的长趋势项（周期稍长的细节层）有反映;三峡库区附近的仙女山断裂带的活动发生了一些变化,说明蓄水使库区周围的倾斜场发生了微动态变化。     

城市热岛效应研究概况

随着我国城市化进程的不断加快,城市中的环境污染问题也日益严重,表现为城市比周围非城市化地区的地表和大气温度要高的热岛效应作为这些环境问题中的典型代表有着重要的研究意义。近几十年来国内外的有关专家从微观及宏观层面上对城市热岛效应的产生原因、造成影响、变化规律、缓解措施等方面进行了一系列的研究与探索。由于城市测点有限,过去的研究尚不能全面反映出研究区热岛效应。遥感科学和技术的发展,为城市热岛效应的研究提供了有利条件。本文介绍了热红外遥感技术在热岛研究中的应用及城市规划对城市热岛效应的影响,并展望了该领域的发展前景。     

阿尔金山羌塘高原区域地表水可利用量及开发潜力分析

确定水资源可利用量是实现阿尔金山及羌塘高原区域生态环境维护与经济社会发展双赢的保障.首先、提出用倒算法计算研究区的水资源可利用量,明确涉及变量的概念及算法.其次、计算了研究区各分区的地表水资源量,湖泊、湿地需水量,河道需水量等变量,最终确定了各分区的地表水资源可利用量.再次、结合各分区水资源利用现状,进一步分析了各分区的水资源利用潜力.结果表明:东羌塘山间盆地区地表水资源开发利用潜力较小;柴达木盆地西缘区开发利用潜力较大;阿尔金山北麓区开发利用潜力不大.最后、建议在研究区建立相应的水文、气象、生态等监测站点,为研究区水资源的合理开发、利用与保护奠定基础.     

SST PREDICTION FOR EAST CHINA SEA AND ADJACENT WATERS

An empirical orthogonal function analysis has been applied to solving the forecast problem of the monthly mean sea surface temperature for the East China Sea and the adjacent waters. The data matrix of the original sea surface temperature fields can be separated into two components, /'. e. the spatial and the temporal components. According to the properties of its spatial component that almost does not change with time and through the extrapolation of its temporal component, the prediction for large area sea surface temperature will be achieved. The time coefficients for temporal component are predicted by means of traverse and vertical time series method.On the basis of forecasting for these two years, it has been proved that the method objectively reflected the internal relations and interactions of sea surface temperature among the stations of water area. The results of the suggested method are better than the predicted method for a collection of each individual stations. The mean absolute error of p     

Soil heavy-metal speciation and wheat phytotoxicity in the vicinity of an abandoned lead–zinc mine in Shangyu City,eastern China

Sixteen soil samples were collected from the vicinity of an abandoned lead–zinc mine in Shangyu City, eastern China, and the heavy-metal speciation and wheat phytotoxicity in the soils were studied. The results showed that the concentrations of free Cu²⁺, Zn²⁺, Cd²⁺ and Pb²⁺ were highly variable and ranged from <0.01 to 0.32, 0.06 to 10.62, <0.01 to 1.40 and 0.02 to 37.10 μmol l⁻¹, respectively. The concentrations of soluble Cu, Zn, Cd and Pb ranged from 0.38 to 3.24, 0.72 to 78.74, <0.01 to 1.95 and 0.15 to 639.34 μmol l⁻¹, respectively. The general trend of mean solid/liquid partition coefficient and percentage of free metal ion to total soluble metal concentration were Cu > Pb > Zn > Cd and Cd > Zn > Cu > Pb, respectively. Stepwise multiple linear regression with pH, log(total metal) and log(organic matter) showed that log(total metal) was an important factor that controlled log(free metal ion) and log(soluble metal). Of the variability in log(free Cu²⁺), log(free Cd²⁺) and log(free Pb²⁺), 55.2, 58.6 and 64.3% could be explained by log(total Cu), log(total Cd) and log(total Pb) alone, respectively. Of the variability in log(soluble Cu) and log(soluble Cd), 77.1 and 72.5% could be explained by log(total Cu) and log(total Cd) alone, respectively. Wheat root length was controlled by the various metals with different free and soluble concentrations, and 99.2% of the variability in root length could be explained by concentrations of free and soluble Pb, soluble Cu and total Zn in the soils.     

震旦纪地层黄铁矿硫同位素组成时－空变化特征及扬子地块与晚元古超大陆关系的论证

 扬子地区早震旦世时期沉积岩黄铁矿具有重的硫同位素组成,其δ¹⁴S值从早震旦世椿木组地层的24‰左右逐渐变得更正。在早震旦世扬子地区广泛沉积碳酸锰矿和黑色页岩的民乐组时期达到极正值+60‰,然后又降低至+16‰-+20‰。上述硫同位素组成的时-空变化特征支持了扬子地块属晚元古Rodinia超大陆的一个组成部分的假设。从晚震旦世早期陡山沱组底部开始,沉积岩中黄铁矿硫同位素的δ¹⁴SS出现负值,并继续降低至-27‰以下。早震旦世晚期-晚震旦世早期沉积岩中硫同位素组成特征反映了沉积盆地古海洋环境的剧烈变化,它与大约7亿年时Rodinia超大陆的解体以及扬子地块与其它大陆分离的地质推测相吻合。     

典型斜坡滚石运动的理论计算研究

在分析滚石运动形式的基础上,简化斜坡滚石运动模型,从运动学角度出发,推导出一套计算斜坡滚石运动特征的方程。该数理模型符合滚石运动的规律,可用于斜坡区滚石运动特征的预测,并可作为斜坡区滚石灾害防治的依据。     

Multivariate Correlation in the Framework of Support and Spatial Scales of Variability

This paper extends the concept of dispersion variance to the multivariate case where the change of support affects dispersion covariances and the matrix of correlation between attributes. This leads to a concept of correlation between attributes as a function of sample supports and size of the physical domain. Decomposition of dispersion covariances into the spatial scales of variability provides a tool for computing the contribution to variability from different spatial components. Coregionalized dispersion covariances and elementary dispersion variances are defined for each multivariate spatial scale of variability. This allows the computation of dispersion covariances and correlation between attributes without integrating the cross-variograms. A correlation matrix, for a second-order stationary field with point support and infinite domain, converges toward constant correlation coefficients. The regionalized correlation coefficients for each spatial scale of variability, and the cases where the intrinsic correlation hypothesis holds are found independent of support and size of domain. This approach opens possibilities for multivariate geostatistics with data taken at different support. Two numerical examples from soil textural data demonstrate the change of correlation matrix with the size of the domain. In general, correlation between attributes is extended from the classic Pearson correlation coefficient based on independent samples to a most general approach for dependent samples taken with different support in a limited domain.     

汶川8．0级地震前龙门山断裂带的近场“闭锁”

由于地貌和交通条件的限制,在跨龙门山断裂带区域只有短水准监测场地。多年持续监测的七盘沟和耿达场地跨龙门山后山断裂,灌县和双河场地跨龙门山前山断裂等4个短水准场地,而在龙门山中央断裂上没有监测场地。根据跨龙门山后山和前山断裂的4个短水准场地监测资料计算分析,在2008年5月12日汶川8．0级地震前,测量成果显示：龙门山后山断裂的近场速率为0．03mm／a,     

Urban growth pattern modeling using logistic regression

Transformation of land use/land cover change occurs due to the numbers and activities of people.Urban growth mod-eling has attracted substantial attention because it helps to comprehend the mechanisms of land use change and thus helps relevant policies made.This paper tends to apply logistic regression to model urban growth in the Jiayu county of Hubei province,China.It is applied in a GIS environment to calculate variables and,then,in SPSS to discover the relationships between urban growth and the driving forces.The relative operating characteristic(ROC) shows the modeling accuracy with the curve 0.891 with standard er-ror 0.001.A probability map is generated finally to predict where urban growth will occur as a result of the computation.The result shows the model simulates urban growth well in the county scale.