Study on NDVI- T s space by combining LAI and evapotranspiration

This paper focuses on interpreting the different spatial relationships between NDVI and T _s, a triangular or a trapezoid, and on analyzing transformation conditions, the physical and ecological meanings of the vegetation index-surface temperature space as well. Further, we use the Temperature-Vegetation Dryness Index (TVDI) to explain the existent meaning of a triangular space after NDVI reaches its saturated state by employing the relationships between NDVI, LAI and evapotranspiration. The specific relations between NDVI and T _s are useful for describing, validating and updating land surface models.     

华东地区测震学指标异常配套和中强震对应关系初探

本文分析了部分地震学指标的物理意义。通过对华东地区1970年以来14个指标的全时间扫描,并使用华东地区Ms≥5.0地震进行对应,结果表明,选取Rm值、b值和AC值进行同步异常分析,能显著提高华东地区的有震报震率,但有漏报。对目前华东地区异常集中区(南黄海及其沿岸地区)进行时间扫描,结果显示该异常集中区未出现同步异常,认为该区域短期内发生中强地震的可能性不大。     

三门峡新一代天气雷达冰雹回波特征分析

利用三门峡新一代天气雷达资料，分析了冰雹天气时雷达产品的特征，并确定冰雹天气预报指标。     

郸城小麦霜冻的危害及预防措施

根据郸城县1987--2007年小麦霜冻情况，分析了小麦霜冻害的影响因素及对小麦产量的影响；并根据观察和试验结果，提出了小麦霜冻的预测指标和预防、灾后补救措施。     

The strength and fractal dimension characteristics of alum–kaolin flocs

Flocs generated by various shear forces exhibit different characteristics of size, strength and structure. These properties were investigated by employing a continuous optical monitoring and a microscope with CCD camera to directly monitor aggregation under six different shear intensities. The floc structure was characterized by the fractal dimension. The results showed that the flocculation index (FI) decreased from 1.16 at 20 rpm to 0.25 at 250 rpm and the floc size decreased from 550 μm to 150 μm, meantime, the FI value showed a good correlation with floc size. In order to determine the floc strength, two methods were used. One was the strength factor, ranging from 18.3% to 62.5%, calculated from FI curve, and the other was a theoretical value between 0.005 N/m² and 0.240 N/m², estimated by calculation. The floc strength increased with the G value in both cases. Furthermore, the fractal dimension increased with G and its value was between 1.30 and 1.63. The relation between fractal dimension and strength was also obtained.     

山西晋城矿区成庄井田3号煤储层的物性研究

对研究区内3号煤储层的几何形态、割理和孔隙系统进行了研究,并引入了储层结构综合指数(SI)来评价研究区内煤层透气性特征和甲烷运移能力,并得出了如下结论:①全区煤层厚度稳定,是煤层甲烷的良好储集层;②根据全区割理发育程度推测出,构造主应力来自NE-SW方向;③通过孔隙系统研究,3号煤层基本上属于非渗透性储层;④成庄井田3号煤层结构综合指数(SI)等值线平面图,显示了煤层透气性由东北向西南呈逐渐变差的趋势。     

Statistical empirical index of chemical weathering in igneous rocks: A new tool for evaluating the degree of weathering

Chemical weathering indices are useful tools in characterizing weathering profiles and determining the extent of weathering. However, the predictive performance of the conventional indices is critically dependent on the composition of the unweathered parent rock. To overcome this limitation, the present paper introduces an alternative statistical empirical index of chemical weathering that is extracted by the principal component analysis (PCA) of a large dataset derived from unweathered igneous rocks and their weathering profiles. The PCA analysis yields two principal components (PC1 and PC2), which capture 39.23% and 35.17% of total variability, respectively. The extent of weathering is reflected by variation along PC1, primarily due to the loss of Na₂O and CaO during weathering. In contrast, PC2 is the direction along which the projections of unweathered felsic, intermediate and mafic igneous rocks appear to be best discriminated; therefore, PC1 and PC2 represent independent latent variables that correspond to the extent of weathering and the chemistry of the unweathered parent rock. Subsequently, PC1 and PC2 were then mapped onto a ternary diagram (MFW diagram). The M and F vertices characterize mafic and felsic rock source, respectively, while the W vertex identifies the degree of weathering of these sources, independent of the chemistry of the unweathered parent rock.

The W index has a number of significant properties that are not found in conventional weathering indices. First, the W index is sensitive to chemical changes that occur during weathering because it is based on eight major oxides, whereas most conventional indices are defined by between two and four oxides. Second, the W index provides robust results even for highly weathered sesquioxide-rich samples. Third, the W index is applicable to a wide range of felsic, intermediate and mafic igneous rock types. Finally, the MFW diagram is expected to facilitate provenance analysis of sedimentary rocks by identifying their weathering trends and thereby enabling a backward estimate of the composition of the unweathered source rock.     

Analysis on the noises from continuously monitoring GPS sites

In this paper,we analyze the time series of site coordinates of 27 continuously monitoring GPS sites covered bythe Crustal Movement Observation Network of China over the whole country.The data are obtained in the periodfrom the beginning of the observation to the November of 2005.On the basis of data processing,we analyze thepower spectrum density of coordinate component noise at each site and calculate the spectral indexes manifestingthe noise property of each component.The spectral indexes indicate that for most sites,the noise of time series ofeach coordinate component can be addressed by the model of white noise flicker noise;and for a small amountof sites,it can be described by the model of white noise flicker noise random walk noise.We also quantita-tively estimate each noise component in the model by using the criterion of maximum likelihood estimation.Theresult shows that the white noise in the time series of GPS site coordinates does not constitute the main part ofnoise.Therefore,the error estimation of site movement parameters is usually too small,or too optimistic if weconsider the white noise only.Correspondingly,if this factor is not fully considered in explaining these movementparameters,it might mislead the readers.     

基于人工神经网络的地震经济损失评估

地震经济损失估计是涉及多方面、多级次的复杂指标体系的非线性动力问题。其指标体系的选取以具有代表性、可靠、易获取、易于定量化为原则。应用MATLAB6.5神经网络工具箱,建立了适用于震后经济损失快速评估的三层BP神经网络地震灾害经济评估模型。     

云南地区房屋建筑的震害矩阵

自1992年4月23日云南孟连西中缅交界6.7、6.9级地震始,地震部门对云南地区的破坏性地震进行了现场灾害调查和经济损失评估。1992~2003年,云南地区共发生50次破坏性地震,积累了丰富的震害资料。本文根据云南地区的主要建筑结构,统计分析了50次地震不同烈度区的破坏比、损失比和震害指数,给出了房屋建筑的震害矩阵。